DEV Community: Akande Olalekan Toheeb

Mastering AWS Cost Management: Take Control of Your Cloud Spend

Akande Olalekan Toheeb — Sun, 04 May 2025 03:05:48 +0000

In today’s digital age, businesses are scaling faster than ever using cloud platforms like Amazon Web Services (AWS). But with great flexibility comes the need for careful oversight—especially when it comes to costs. AWS Cost Management tools empower organizations to gain visibility into their cloud spending, optimize resource use, and forecast future budgets with confidence.

Why Cost Management Matters on AWS

Without proper cost governance, it’s easy to fall into the trap of over provisioning, idle resources, and surprise billing. Whether you're a startup experimenting with services or an enterprise running production workloads, knowing how to track and control your spending is crucial.

Core AWS Cost Management Tools

Here are key services and features AWS provides to help you manage your costs effectively:

1. AWS Cost Explorer

What it does: Visualizes historical AWS spending and usage trends.

How it helps:

Identify high-spending services
Break down costs by tags, linked accounts, or usage types
Forecast future spend based on trends

Pro tip: Use daily granularity and filter by service to catch cost spikes early.

2. AWS Budgets

What it does: Lets you set custom cost or usage budgets and get alerts when you're approaching or exceeding limits.

How it helps:

Prevent overspending with proactive alerts
Track specific usage metrics (like EC2 hours or S3 storage)
Enable accountability across teams

Use case: Get notified if your monthly EC2 spend crosses $500, enabling swift action.

3. AWS Cost Anomaly Detection

What it does: Uses machine learning to detect unusual spending patterns.

How it helps:

Automatically alerts you to cost spikes
Helps you catch unintended usage (e.g., data transfer anomalies or runaway instances)

Why it matters: It acts like a smart guard dog for your billing dashboard.

4. AWS Pricing Calculator

What it does: Estimates the cost of AWS services based on your configuration before deployment.

How it helps:

Plan and compare architectural options
Share estimates with stakeholders
Avoid surprise bills

5. Consolidated Billing

What it does: Combines usage across multiple AWS accounts under one organization.

How it helps:

Enables volume discounts
Simplifies cost tracking
Helps manage departments or business units separately

Cost Optimization Best Practices

Alongside tools, here are practical tips to reduce and manage AWS costs:

Right-size your instances: Use Compute Optimizer or Trusted Advisor recommendations to scale resources appropriately.
Turn off idle resources: Automatically shut down development instances or unused environments using automation or Lambda.
Use Spot and Reserved Instances: Leverage discounts of up to 90% with Spot Instances or save up to 75% with Reserved Instances.
Tag your resources: Implement consistent tagging (e.g., Project, Environment, Owner) to track resource ownership and allocate costs properly.

Final Thoughts

Mastering AWS Cost Management is more than just keeping the bills low—it’s about aligning your cloud strategy with your business goals. With the right combination of tools, governance, and awareness, you can innovate at scale without wasting valuable budget.

So as you dive deeper into the AWS ecosystem, let cost visibility and optimization be at the core of your cloud journey.

Amazon S3: Your Cloud Storage Companion

Akande Olalekan Toheeb — Wed, 09 Apr 2025 05:39:52 +0000

In cloud computing, few services are as universally used—and as misunderstood—as Amazon Simple Storage Service (S3)*. For many, it’s just “where files go in the cloud.” But beneath that simple surface lies a powerful, scalable, and cost-effective system that quietly powers websites, mobile apps, analytics pipelines, machine learning models, and even global enterprises.

Let’s break it down—no jargon, no fluff—just the essentials of what Amazon S3 is, why it’s useful, and how it can help you build smarter.

What Exactly Is Amazon S3?

Amazon S3 is an object storage service—think of it like a secure, global hard drive, built for the cloud.

But instead of saving your files in folders on your local PC, you upload them to what’s called a bucket in the cloud. Inside each bucket, you can safely store your files—whether those are images, videos, documents, or logs, along with metadata that helps describe them.

You don’t need to manage any servers. You don’t worry about hard drive failures. You just put your files in, and S3 handles the rest.

Why Engineers Trust S3

Amazon S3 has become the default storage engine for developers and companies alike, and here’s why:

Scales effortlessly: Store one file or a billion—S3 doesn’t blink. It’s used by startups and Fortune 500s alike.
Rock-solid durability: S3 is designed for 11 nines of durability (that’s 99.999999999%). Your data is stored redundantly across multiple locations.
Pay-as-you-go: No upfront cost. You only pay for what you use—perfect for teams of all sizes.
Built-in security: With encryption, access control, versioning, and detailed permissions, you control who can do what.
Tight AWS integration: S3 connects with nearly every AWS service—from Lambda to Athena, SageMaker to CloudFront.

How Does It Work in Real Life?

Let me give you an example from my own experience:

Website Hosting: I once built a simple company website that was completely static—just HTML, CSS, and JavaScript. Instead of managing a full web server, I stored all the files in an S3 bucket and used Amazon CloudFront as a Content Delivery Network (CDN) to serve them quickly around the world. The result? A fast, reliable website with minimal overhead.
Data Backup and Analytics: For a recent project, we needed to archive large volumes of log data. S3 allowed us to store this data cost-effectively. Then, using Amazon Athena, we could run SQL queries directly on the data without setting up a separate database.

A Few Pro Tips

Automation Is Your Friend:
With S3 events, you can automatically trigger AWS Lambda functions whenever a file is uploaded. This means you can build reactive, automated systems that process data as soon as it arrives.

Choose the Right Storage Class:
S3 offers different storage classes (like Standard, Infrequent Access, and Glacier). Use Standard for data you access often and Glacier for archival—this helps optimize costs without compromising availability.

Security Best Practices:
Always use IAM policies to control who can access your S3 buckets, and enable versioning to protect against accidental deletions or overwrites.

In a Nutshell

Amazon S3 might sound like just a storage solution, but it’s much more. It’s the backbone of countless cloud-native applications and a reliable partner in scaling your digital operations without the headache of managing hardware. Whether you’re just starting out or looking to optimize an existing system, S3 provides the flexibility, security, and simplicity you need.

I hope this helps demystify Amazon S3 for you. Remember, great technology is all about making your life easier and your applications more robust—S3 is a perfect example of that.

Happy coding

How DDBuildingTech Transformed Decision-Making with Arthurite Integrated’s AWS Analytics Solution

Akande Olalekan Toheeb — Fri, 10 Jan 2025 00:33:30 +0000

Data is the driving force behind smart decision-making. For DDBuildingTech, leveraging data effectively was critical to staying ahead in the competitive construction technology industry. By partnering with Arthurite Integrated, they adopted *AWS QuickSight, transforming their approach to business analytics and empowering their workforce.

The Challenge

DDBuildingTech faced key challenges that hindered their growth:

Inefficient Decision-Making: Legacy systems caused delays in accessing and analyzing critical business data.
Workforce Adaptation: Employees needed upskilling to effectively use advanced cloud tools.
Customer Experience: The inability to derive actionable insights quickly impacted their ability to deliver optimal customer experiences.

DDBuildingTech sought a modern analytics solution to unlock the full potential of their data and improve operational efficiency.

The Solution

Arthurite Integrated partnered with DDBuildingTech to implement AWS QuickSight, a powerful business analytics tool that provided real-time insights and improved data visualization.

Advanced Business Analytics with AWS QuickSight

We deployed AWS QuickSight to provide interactive dashboards and real-time analytics, enabling DDBuildingTech to derive actionable insights quickly and easily.
Integrated their existing data sources into a centralized analytics platform for seamless data exploration.

Upskilling the Workforce

As an AWS Training Partner, we conducted tailored training sessions for DDBuildingTech’s employees, equipping them with the skills to use QuickSight effectively.
Empowered teams to independently build dashboards, generate reports, and derive meaningful insights.

Enhanced Customer Experience

With improved data-driven decision-making, DDBuildingTech was able to address customer needs faster and more efficiently.
This led to increased customer satisfaction and stronger client relationships.

The Results

Through this collaboration, DDBuildingTech achieved measurable improvements:

50% Reduction in Decision-Making Time: Teams now access and analyze critical data faster, enabling quicker responses to market demands.
20% Increase in Employee Retention: Upskilling efforts boosted employee satisfaction and engagement.
Improved Financial Efficiency: Streamlined analytics processes reduced costs and ensured compliance, enhancing overall financial health.
Enhanced Customer Experiences: Real-time insights allowed DDBuildingTech to provide proactive solutions, delighting their customers.

Client Testimonial

"Working with Arthurite as an AWS training partner in upskilling our workforce increased our cloud usage, modernized environments, and enhanced customer experiences. We’ve achieved impressive outcomes, including a 50% reduction in decision-making time and a 20% increase in employee retention, helping the company derive financial efficiency and compliance benefits."
                        — Don Duby, CTO, DDBuildingTech

Conclusion

DDBuildingTech’s journey demonstrates the transformative power of AWS QuickSight and workforce upskilling. At Arthurite Integrated, we pride ourselves on delivering tailored cloud solutions that drive business innovation, improve efficiency, and enhance customer experiences.

Discover how we can transform your business operations with tailored AWS solutions. Contact Arthurite Integrated today to get started!

How Titian Physiotherapy Transformed Their Operations with Arthurite Integrated’s AWS Solutions

Akande Olalekan Toheeb — Tue, 07 Jan 2025 07:48:35 +0000

In today’s fast-paced digital landscape, transitioning to the cloud is no longer a luxury—it’s a necessity. For Titian Physiotherapy, a company renowned for its commitment to patient care and innovation, adopting cloud technology was a critical step toward modernizing their operations. With Arthurite Integrated as their trusted partner, they successfully transitioned from traditional business methods to a streamlined, cloud-powered approach that enhanced efficiency and patient communication.

The Challenge

As a growing physiotherapy organization, Titian Physiotherapy faced several operational hurdles:

Manual Processes: Time-consuming traditional methods slowed operations and reduced efficiency.
Data Management: Limited storage solutions hindered their ability to organize and access critical patient data effectively.
Communication Barriers: A lack of integrated systems created inefficiencies in patient interactions and follow-ups.

To overcome these challenges, they needed a tailored solution that could simplify operations, centralize data, and improve communication—all while being easy to adopt for a team new to cloud technology.

The Solution

Arthurite Integrated delivered a bespoke solution centered on the AWS Storage Gateway, providing Titian Physiotherapy with seamless integration of their on-premises infrastructure and the AWS Cloud.

Hybrid Storage Implementation

By deploying AWS Storage Gateway, we enabled Titian Physiotherapy to securely store critical patient data both locally and in the cloud.
This hybrid solution ensured easy data access while optimizing storage costs and scalability.

Process Automation

Automating previously manual workflows saved valuable time, allowing the team to focus on delivering exceptional patient care.
Integrated cloud-based tools streamlined appointment scheduling, record-keeping, and follow-up communications.

Enhanced Communication Systems

With centralized data storage, staff could access and share information with patients more effectively, ensuring timely responses and improved satisfaction.

The Results

Through our collaboration, Titian Physiotherapy achieved remarkable outcomes:

Operational Efficiency: Automated workflows reduced administrative overhead by 40%, enabling the team to dedicate more time to patient care.
Data Accessibility: A centralized hybrid storage system allowed instant access to patient records, improving decision-making speed and accuracy.
Improved Patient Engagement: Streamlined communication tools enhanced interactions with patients, resulting in a 30% boost in satisfaction ratings.

Client Testimonial

"As a company new to cloud technology and its complexities, Arthurite demystified the concept and provided ready-to-use solutions that revolutionized our operations. We’ve transitioned from traditional methods to innovative approaches that save time and improve communication with patients, allowing us to deliver better care."
— Amaoby, CEO, Titian Physiotherapy

Conclusion

Titian Physiotherapy’s journey highlights the transformative power of tailored cloud solutions. At Arthurite Integrated , we’re proud to empower businesses with cutting-edge AWS technologies that drive innovation, efficiency, and growth.

Call to Action

Ready to transform your business operations with cloud solutions? Contact Arthurite Integrated today to explore how we can help you achieve similar results.

Amazon EC2: Everything you need to know

Akande Olalekan Toheeb — Sat, 19 Aug 2023 03:53:36 +0000

Amazon EC2 (Elastic Compute Cloud) is one of the most popular and widely-used compute cloud computing services offered by Amazon Web Services (AWS). It provides highly-available, scalable, and secure computing capacity in the cloud, allowing users to spin up virtual servers quickly.

Be it seasoned IT professionals or beginners, understanding Amazon EC2 is crucial for anyone looking to leverage the power of cloud computing.

This comprehensive guide delves deep into the fundamental attributes of EC2, its constituent elements, and more advanced concepts. It encompasses the initial steps of setting up EC2, effective instance management, and vigilance in terms of security. From actual applications in the real world to strategies for optimizing EC2 administration, this article offers an all-encompassing exploration of becoming adept at EC2 and maximizing the extensive potential of cloud computing.

Amazon EC2: The Concept

Amazon EC2 is a key solution for businesses and organizations seeking agile and cost-effective computing services in the cloud.

Amazon EC2 is an AWS computing web service that allows users to create and manage virtual server, known as Instances, in the cloud.

Amazon EC2's capability to integrate with other AWS services makes it ideal for several use cases. Users are not limited to running just web servers on your Instances, they can also host applications, run batch processing, perform data analysis, and more.

Amazon EC2 is a powerful and flexible cloud computing service. With its scalability, reliability, and security features, Amazon EC2 is the perfect choice for businesses and organizations looking to run their applications in the cloud.

Importance of Cloud Computing and Elastic Cloud

Cloud computing and Elastic Cloud have become significant components in today’s digital landscape. By utilizing cloud computing, companies gain access to IT resources that can be spun up within minutes while paying for only what they use.

Elastic cloud is a significant aspect of cloud computing.

Elastic Cloud offers businesses the ability to dynamically expand and contract computing Resources based on demand.

Cloud computing and Elastic Cloud have emerged as indispensable elements of contemporary enterprises, playing a pivotal role that cannot be emphasized enough. The following key attributes underscore their significance and highlight why they hold such paramount importance:

Flexibility and Scalability: Cloud Computing offers businesses the ability to effortlessly adjust the scale of resources in response to demand fluctuations. This inherent scalability enables swift adaptation to evolving requirements and effectively manages varying levels of website traffic, all without requiring substantial investments in infrastructure.
Cost-Efficiency: Cloud Computing presents a cost-effective solution as organizations only pay for the resources utilized, eliminating the need for significant upfront capital expenses. The pay-as-you-go model enables better budget management.
Reliability: Leading cloud providers guarantee high availability and redundancy, ensuring minimal downtime and uninterrupted service for critical applications and workloads.
Data Security: Reputable cloud service providers implement robust security measures and regular data backups, minimizing the risk of data loss due to hardware failures or security breaches, and ensuring the safety and integrity of critical business information.
Accessibility and Mobility: Cloud Computing allows easy access to applications and data from any internet-connected device, fostering collaboration and enabling employees to work from anywhere, promoting mobility and efficiency.
Innovation: Cloud Computing enables rapid deployment of new applications and services, empowering businesses to stay ahead in a competitive market. It provides developers with the necessary resources and tools to experiment and build innovative solutions.
Global Reach: Cloud Computing enables businesses to expand their global presence without the need to establish physical data centers in various regions. This global reach enhances the user experience for customers worldwide.

Overall, cloud computing and elastic cloud solutions offer organizations a distinct advantage in the contemporary digital landscape. Embracing the potential of cloud technology and harnessing the flexible and scalable capabilities of the elastic cloud, businesses can enhance their efficiency, elevate customer satisfaction, and foster growth while effectively managing expenditures. As cloud technology progresses, it becomes paramount for enterprises to adopt and capitalize on these cutting-edge solutions to remain ahead in a rapidly interconnected and dynamic global environment.

Keys Features and Capabilities of Amazon EC2

Amazon EC2 serves as a fundamental pillar of cloud computing, offering a myriad of outstanding benefits in the cloud. It provides a number of key features and capabilities that makes it a powerful and versatile tool Businesses.

The key features of Amazon Elastic Compute Cloud (Amazon EC2) are as follows:

Virtual Servers (Instances): EC2 enables users to effortlessly create and launch virtual servers, known as instances, in the cloud. These instances are fully customizable and support a wide array of operating systems and applications.
Diverse Instance Types: EC2 offers an extensive selection of instance types, each tailored with varying CPU, memory, storage, and networking capabilities. Users can choose the most suitable instance type to match their specific workloads.
Seamless Scalability: EC2 boasts elasticity, allowing instances to be scaled up or down on-demand. This ensures smooth operation during traffic fluctuations and workload changes without any service interruptions.
Pay-as-You-Go Model: EC2 follows a pay-as-you-go pricing model, enabling users to pay only for the compute capacity they consume. This cost-effective approach optimizes expenses and offers flexible pricing solutions.
High Availability: EC2 instances can be deployed across multiple availability zones within a region, guaranteeing fault tolerance and uninterrupted service for mission-critical applications.
Enhanced Security: EC2 employs security groups to manage inbound and outbound traffic for instances, granting administrators the ability to set up rules to enhance data security.
Elastic IP Addresses: Users can allocate and associate elastic IP addresses to EC2 instances, providing static IPs that can be reassigned to different instances as needed.
AMIs for Replication: EC2 allows users to create, customize, and share Amazon Machine Images (AMIs), facilitating effortless replication and deployment of instances with specific configurations.
Auto Scaling: EC2 Auto Scaling dynamically adjusts the number of instances based on predefined scaling policies, ensuring an optimal number of instances to handle varying demands.
Load Balancing: Amazon EC2's Elastic Load Balancing (ELB) efficiently distributes incoming traffic across multiple instances, optimizing application performance and availability.
Seamless Integration: EC2 seamlessly integrates with various AWS services like Amazon S3, Amazon RDS, AWS Lambda, and more, empowering users to build comprehensive and scalable solutions.
Monitoring and Management: EC2 provides robust monitoring capabilities through Amazon CloudWatch, enabling users to collect and track metrics, set alarms, and monitor instance performance.

With these powerful features, Amazon EC2 stands as a fundamental enabler for businesses seeking to harness the full potential of cloud computing and build scalable, flexible, and secure cloud-based solutions.

Components of Amazon EC2

The Amazon EC2 can be broken down into the following components:

Amazon Machine Image
Instance types
Purchase Models
Tenancy
User data
Storage options
Security

Amazon Machine Image

Amazon Machine Image (AMI) serves as a critical component in Amazon Web Services (AWS), enabling users to launch virtual servers known as instances in the cloud.

AMI is essentially templates of pre-configured EC2 instances which allow users to quickly launch a new EC2 instance based on the configuration within the AMI.

AMI is to EC2 as Recipe is to Dishes.

The first step to launch an EC2 is to choose a suitable AMI for the workloads. This means the provisioned EC2 has the same configurations as the AMI.

Users have several choices when it comes to selecting an AMI:

Opt for pre-existing AMIs available in the EC2 console.
Craft their own EC2 image.
Procure AMIs from the AWS Marketplace.
Pick from community AMIs - these are AMIs designed by engaged members within the AWS Community.

AWS Marketplace is an online platform provided by Amazon Web Services (AWS) that allows users to discover, purchase, and deploy a wide variety of third-party software and services directly onto their AWS environment. It serves as a digital storefront where software vendors, developers, and independent software vendors (ISVs) can offer their solutions to AWS customers.

Instance Types

An instance type simply defines the size of the instance based on a number of different parameters, which include:

ECUs - Elastic Compute Unit
Physical processor
Memory
Virtual CPUs
Clock Speed
Incident Storage
EBS optimized
Network performance
IPv6 support
Process Architecture
AESNI: Advanced encryption standard new instructions
AVX instance supports: AVX means advanced vector extensions, which are primarily used for applications focus on audio and video, scientific calculations, and 3D modeling analysis.
Turbo: which shows if the instance support intel turbo boost and AMD turbo core technologies.

The key parameters to be aware of for general usage of an EC2 instance could be summarized as follows:

vCPUs 2. Memory 3. Instance Storage _4. _Network performance.

These various instance type are further categorized into six families that offer distinct performances. Users have a range of instance types with varied compute, storage, memory, and network performance to choose from. These families will greatly help users to select the appropriate instance that suit their needs.

The families are:

General Purpose

General Purpose instances provide a balance of compute, memory, and networking resources, and can be used for a variety of diverse workloads. These instances are ideal for applications that use resources in equal proportions such as web services and code repositories.

The instances that falls under these category are:
M7g, M7a, Mac, M6g, M6i ,M6in ,M6a, M5, M5n, M5zn, M5a, M4, T4g, T3, T3a, Tu

Compute Optimized

These instances are ideal for compute bound applications that benefit from high performance processors. Instances belonging to this category are well suited for batch processing workloads, media transcoding, high performance web servers, high performance computing(HPC), scientific modeling, dedicated gaming servers and ad engines, machine learning inference, and other compute intensive applications.

Instances belonging to this category areL C7g, C7gn, C6g, C6gn, C6i, C6in, C6a, C5, C5a, C4

Memory Optimized

Memory optimized instances are designed to deliver fast performance for workloads that process large data sets in the memory.

The instances that falls under this category are: R7g, R7iz, R6g, R6i, R6im, R6a, R5, R5n, R5b, R4, X2gd, x2idn, X2iedn, X2iezn, Xi, Xie, High Memory 2id

AcceLerated Computing

These instances use hardware accelerators or co-processors to perform functions - such as floating point number calculations, graphics processing, or data pattern, matching - more effectively than is possible in software running on CPUs.

Intances are: P5, P4, P3, P2, DLI, Trn1, Inf2, Infi, G5g, G5, G4dn, G4ad, G3, Fi, VTI

Storage Optimized

Storage optimized instances are designed for workloads that require high, sequential read and write access to very large data sets as local storage. They are optimized to deliver tens of thousands of low-latency, random input/output operations per second (IOPS) to applications.

Instances include: I4g, Is4gen, I4i, I3, I3en, D2, D3, D3en, Hi

HPC (High performance computing) Instances

High performance computing instances are purpose built to offer the best price performance for running HPC workloads at scale on AWS. HPC instances are ideal for applications that benefit from high-performance processors such as large, complex simulations and deep learning workloads.

Instances include: Hpc7g, Hpc6id, Hpc6a

Purchase Models

With Amazon EC2, users pay for only the compute time they use.

Amazon EC2 offers several purchase models for different use cases. This allows customers to choose the pricing and payment structure that best suits their needs.

These purchase models determine the pricing and flexibility of EC2 instances, and understanding them is crucial for making informed decisions about AWS infrastructures. These purchase models include:

On-Demand Instances

First among these models is the On-Demand Instances paradigm. Within this realm, users pay for instances on an hourly basis, unburdened by long-term commitments or upfront costs. Such flexibility empowers users to launch and terminate instances at will, devoid of lingering obligations.

On-Demand instances are typically used for short-term workloads. They are best suited for running applications that have unpredictable usage patterns, testing and development environments.

Reserved Instances

With Reserved instances, users pledge to utilize a specific instance type within a designated Availability Zone for a contracted period, often one or three years. This commitment garners substantial discounts in hourly pricing when contrasted with On-Demand instances.

Nevertheless, upfront payments beckon forth supplementary discounts. The greater the upfront sum, the more elevated the discount reaped.

Reserved instances prove advantageous for consistent usage scenarios, offering considerable cost efficiency for long-term, predictable workloads.

Scheduled Instances

Amazon EC2 Scheduled Instances provide a strategic solution within the Amazon Web Services (AWS) framework, catering to both newcomers and seasoned professionals. This option enables users to reserve compute capacity in a precise and scheduled manner, revolutionizing how workloads are managed.

At its core, Scheduled Instances allow individuals to pre-book compute instances for specific time frames. This is exceptionally valuable for tasks that adhere to predictable schedules, such as daily data analysis, weekly batch processing, or other recurring workloads. By reserving instances for these time slots, users ensure availability while optimizing expenses.

Comparable to the pricing structures of On-Demand and Reserved Instances, Scheduled Instances come with a range of customizable options, including instance types and configurations. Billing follows a per-second model, charged for the duration of the scheduled window.

Please be aware that users will incur charges for scheduled instances, even if these instances are not utilized during the specified reservation period.

Spot Instances

Spot Instances offer a unique purchase model where users can bid on unused EC2 capacity, allowing users to take advantage of unused resources at a significantly reduced price.

Spot Instances can provide substantial cost savings, especially for applications with flexible start and end times or that can handle interruptions. However, keep in mind that Spot Instances can be terminated with a two-minute notice if the EC2 capacity becomes constrained or if a user's bid price falls below the current spot price.

Dedicated Instances

Dedicated Instances run on hardware that's dedicated to a single customer, but the instance itself can be launched using On-Demand pricing or as part of a Reserved Instance.

Dedicated Hosts

A dedicated host is a physical EC2 server fully dedicated for a specific user. Dedicated hosts can help reduce costs by allowing the use of existing server-bound software licenses, including windows server, SQL server, and SUSE linux enterprise server. Dedicated Hosts can be purchased On-Demand or can be purchased as part of savings plan.

Dedicated Hosts are recommended for:

Users looking to save money on licensing costs.
Workloads that needs to run on dedicated physical servers
Users looking to offload host maintenance onto AWS, while controlling their maintenance event schedules to suit their businesses's operational costs.

Ultimately, selecting the right purchase model depends on users' application's needs, workload patterns, budget considerations, and required level of flexibility. It's important to assess requirements and match them with the most appropriate EC2 purchase model to maximize the value and efficiency of your AWS infrastructure.

Tenancy

Tenancy relates to what underlying host EC2 instances will reside on. Essentially, physical server within an AWS Data Center.

When it comes to selecting the location for their instances, users have various options available to them, these are:

Shared Tenancy: With shared tenancy, EC2 instances ares launched on any available host with the required resources. The same host may be used by multiple customers but security prevents EC2 instances from accessing another EC2 instances on the host.
Dedicated Instances: Instances are hosted on an hardware that no other customer can access. Users may be required to meet compliances before using dedicated instances.

Dedicated instances incur additional charges

Dedicated Host: Users have a host dedicated to themselves. Users are allowed to use same host for a number of instances. Just like Dedicated instances, Dedicated hosts also come with extra costs, and users might need to adhere to compliance requirements before utilizing dedicated instances.

User Data

User data allows users to enter commands that will run during the first boot cycle of the instance. This is great way to automatically perform functions upon boot such pulling down any additional software the user wants.

Storage Options

Selecting storage for EC2 instances depends on the instance selected, what the user intends to use the instance for, and how critical the data is.

There are two option for storage:

Persistent Storage: Available by attaching an EBS Volume(s).
Ephemeral Storage: Created by EC2 instances using local storage.

Persistent Storage

Amazon Elastic Block Store (EBS) volumes present an intriguing distinction from the EC2 instances they serve. Unlike ephemeral storage that's directly associated with the instance, EBS volumes exist as distinct entities.

EBS volumes are categorized as network-attached storage devices, establishing a virtual linkage with the EC2 instance through AWS's network infrastructure. This setup is akin to linking an external hard drive to a personal computer – where the external drive mirrors EBS volumes, and the computer corresponds to EC2 instances.

The data within EBS volumes undergoes automated replication across other volumes in the same availability zone. This resiliency, overseen by AWS, ensures data integrity. Users can disengage an EBS volume from an EC2 instance without risking data loss. This capability permits reattachment to another instance if needed. Encryption options are also at users' disposal for added security, with data backup snapshots to Amazon S3 offering an extra layer of safeguarding.

EBS volumes come in various sizes and performance tiers, tailored to your specific requirements. This adaptable framework grants users unparalleled flexibility in optimizing their storage setup.

Ephemeral Storage

Ephemeral storage, often referred to as instance-backed storage, is a form of storage directly linked to the physical host that houses the EC2 instance. Picture it as akin to the hard drive of a personal laptop or PC – a fundamental storage space integrated within the system's hardware.

However, a crucial distinction lies here. With AWS EC2 instances, data stored on ephemeral storage faces a unique trait. When an instance is halted or terminated, any saved data within this ephemeral storage is erased. While a simple reboot preserves the data, stopping the instance eliminates it. This distinct behavior underscores the importance of using Amazon Elastic Block Store (EBS) volumes for data that necessitates retention beyond instance halts or terminations.

In contrast to the flexibility offered by EBS volumes, the options for ephemeral instance store volumes are more limited. Detaching such volumes from an instance isn't feasible, a factor that underscores the critical role of EBS volumes in ensuring data durability and availability.

Security

During the creation of EC2 instances, users will be asked to select a security group.

Security group acts as a virtual firewall that controls the traffic for one or more instances. It is an instance-level firewall allowing users to restrict both ingress and egress traffic by specifying what traffic is allowed to communicate with it.

Towards the conclusion of EC2 instance creation process, a pivotal decision arises – the choice to either select an existing key pair or embark on the creation of a new one.

Now, let's dive into the concept of a key pair and its significance in this context.

A key pair entails a duo of essential components: a public key and a private key. This dynamic duo's primary role is to encode the login particulars of Linux and Windows EC2 instances. Upon reaching their destination, these keys decipher the same information, effectively facilitating users seamless authentication onto the instance. Specifically, the public key undertakes the encryption of critical data, such as your username and password.

For Windows instances, the private key assumes the pivotal role of decryption, granting access to vital login credentials, including the password itself.

When it comes to Linux instances, the private key takes on a distinct role – that of enabling remote connections to the instance via SSH. AWS retains the public key, ensuring its safekeeping, while the responsibility of safeguarding the private key falls squarely on the user's shoulders, necessitating vigilance to prevent loss or compromise.

Considering the scenario where users create a fresh EC2 instance and consequently a novel key pair, users are granted the privilege to download this key pair. This downloaded file assumes paramount importance, necessitating a secure storage location until users are prepared to initiate log-in to the associated EC2 instance. Importantly, employing the same key pair across multiple instances offers a convenient means of managing private keys without undue complexity.

It's prudent to note, however, that in the unfortunate event of the private key falling into the wrong hands, unauthorized access could potentially be gained across all instances linked to that particular key pair. Upon the successful authentication users' presence on the EC2 instance during the inaugural login, users possess the capability to establish supplementary, more restricted access controls. This extends to the creation of local Windows accounts, affording other users the ability to establish connections, authenticate, and even harness the capabilities of Microsoft Active Directory.

A sound understanding of these nuanced concepts ensures that your journey into EC2 instance management remains secure and adeptly controlled.

Scalability and Load Balancing

In the expansive domain of cloud architecture, the cornerstones of resilience and performance optimization are embodied by the notions of scalability and load balancing.

Scalability simply means adapting with the tides of demand.

Picture a bustling city where the police force dynamically shifts in response to surging crowds or calming streets. Similarly, in the cloud ecosystem, scalability involves crafting applications that instinctively adjust resources—up or down—in tune with demand shifts.

As if attuned to the city's rhythms, cloud scalability empowers applications to gracefully manage fluctuations in traffic without missing a step.

Load Balancing is the traffic conductor of the cloud

Imagine a conductor orchestrating a symphony of incoming vehicles, deftly steering each to its optimal lane. Likewise, a load balancer artfully distributes incoming traffic across a cluster of resources, optimizing their utilization.

Notably, Amazon EC2 Auto Scaling and Elastic Load Balancing, two robust services, play the roles of conductor in managing the ebb and flow of EC2 instances, ensuring both scalability and load balancing are harmonized.

Amazon EC2 Auto Scaling

In the realm of AWS, **Amazon EC2 Auto Scaling **stands as a dynamic solution that reacts to the ever-shifting tides of application traffic.

Picture this scenario: attempting to reach a website that stubbornly remains unresponsive, its servers overwhelmed by the influx of incoming requests.

With Amazon EC2 Auto Scaling, this frustrating encounter transforms into a lesson in seamless application availability. The system intelligently orchestrates the addition or removal of EC2 instances, ensuring that the application remains responsive and resilient, regardless of varying traffic demands.

This automatic dance of scaling unfolds through two strategic maneuvers within Amazon EC2 Auto Scaling: dynamic scaling and predictive scaling.

Dynamic scaling steps in when the demand shifts, dynamically resizing your instance fleet. In contrast, predictive scaling takes a futuristic approach, proactively scheduling the precise number of Amazon EC2 instances based on predicted demand patterns. What's more, these strategies can join forces, enabling applications to scale with swiftness and foresight.

In essence, Amazon EC2 Auto Scaling emerges as a sentinel of application availability, adeptly adjusting the troop size of your EC2 instances to the cadence of user requests, all while maintaining a harmonious equilibrium.

Elastic load Balancing

Elastic Load Balancing, a vital service within the AWS ecosystem, takes on the task of seamlessly distributing incoming application traffic across an array of resources, with a primary focus on Amazon EC2 instances.

Imagine this service as a skilled conductor leading a symphony of web traffic. It serves as a singular nexus for all incoming requests destined for your Auto Scaling group. As the number of Amazon EC2 instances dynamically shifts in response to the ebb and flow of incoming traffic, these requests first converge at the load balancer. From here, they're judiciously apportioned across a diverse ensemble of resources ready to take on the tasks. Visualize a network of Amazon EC2 instances sharing the load, preventing any individual instance from bearing an undue burden.

Elastic Load Balancing and Amazon EC2 Auto Scaling may appear as separate entities, but they function in tandem like a well-choreographed dance. Their collaboration is geared toward a common goal: to ensure that applications hosted within Amazon EC2 environments exhibit unwavering performance and availability, even in the face of varying traffic demands. It's this harmony between the two services that contributes to the seamless orchestration of your cloud-based applications.

Within this ever-evolving cloud landscape, understanding the harmonious interplay between scalability and load balancing is an essential compass for architects and enthusiasts alike. These concepts collectively guide the orchestration of applications that seamlessly adapt to demand, ensuring optimal performance and unwavering resilience.

Real-world Use Case of Amazon EC2

Amazon EC2 emerges as a versatile and indispensable tool with an array of real-world applications. Let's delve into a few compelling use cases that illuminate the value of EC2 in diverse contexts:

Web Hosting and Applications: EC2 provides an agile platform for hosting websites and web applications.EC2's flexibility enables users to launch instances with the required compute capacity, effortlessly adjusting to changing demands.
Development and Testing Environments: Traditional on-premises development and testing environments can be resource-intensive and inflexible. EC2 streamlines this process, allowing developers to spin up instances to mirror various environments, ensuring consistency and scalability.
Big Data Processing: Tackling vast datasets demands substantial compute power. EC2 instances can be tailored to manage complex data processing tasks, making it an invaluable asset for data analysis, machine learning, and other data-intensive applications.
High-Performance Computing: EC2 is a go-to choice for computational workloads that necessitate immense processing capability. This includes tasks like scientific simulations, rendering, financial modeling, and more.
Content Delivery: With the help of EC2, users can effortlessly set up content delivery networks (CDNs) to distribute content to their customers around the globe. This optimizes load times and enhances user experiences, critical for websites and applications with a global user base.
Hybrid Cloud Deployments: Organizations often require a blend of cloud and on-premises resources. EC2's compatibility and integration with other AWS services allow for seamless hybrid cloud setups, offering a unified solution for diverse infrastructure needs.
Application Migration: Migrating applications from legacy systems to the cloud can be intricate. EC2 simplifies this process by offering a cloud-native environment that supports a wide array of operating systems and applications.
High Availability and Fault Tolerance: EC2 excels in providing high availability and fault tolerance. By deploying instances across multiple Availability Zones (AZs), you ensure continuity even if one zone experiences downtime.
Containerized Applications: EC2 instances are an ideal host for containerized applications orchestrated through platforms like Amazon ECS or Kubernetes. This approach fosters efficient resource utilization and scalability.
Gaming and Multimedia: EC2's robust computing capabilities are well-suited for hosting multiplayer games and multimedia applications, ensuring seamless performance even under heavy loads.

Amazon EC2 stands as a dynamic solution that empowers organizations to adapt, innovate, and thrive in a technology-driven landscape. Its versatile nature enables the realization of countless possibilities, from streamlining development cycles to revolutionizing complex data processing, all while ensuring optimal performance, scalability, and resilience.

Wrap Up

Amazon EC2 is a comprehensive and versatile cloud computing service offered by Amazon Web Services. It provides scalable and flexible virtual servers, allowing users to easily deploy and manage their applications.

With a wide range of features and options, Amazon EC2 is a valuable tool for businesses and developers. Understanding the capabilities and benefits of Amazon EC2 is crucial for businesses looking to leverage cloud powers. Take the time to familiarize yourself with this powerful service and unleash its potential for your organization.

Cloud Data Warehouse: An Introduction

Akande Olalekan Toheeb — Fri, 14 Jul 2023 08:07:48 +0000

Today, data and analytics have become essential for businesses to stay competitive. Business users rely on reports powered by data warehouses to make crucial decisions and monitor business performances.

A Data Warehouse is a large store of data collected from different sources that business users can analyze to make more informed decisions.

Cloud data warehousing is an advanced solution that leverages the power and flexibility of cloud computing; it provides businesses with more benefits, such as cost savings, scalability, and accessibility.

Cloud Data Warehouse

A Cloud data warehouse is the cloud version of a data warehouse. It is a data repository hosted and managed by a cloud provider.

A cloud data warehouse is optimized for cloud-based data querying and analytics. It offers a flexible, scalable, and cost-effective data warehousing solution.

Benefits of a Cloud Data Warehouse

Scalability: Cloud data warehouses are scalable, allowing increment and decrement of data storage capacity whenever the business requires it.
Flexibility: Unlike on-premises data warehouses, business users can deploy a cloud data warehouse in minutes due to its flexibility.
Cost-effectiveness: A cloud data warehouse is cheap; users enjoy flexible pricing by paying for what they use.
Fast Insights: Cloud data warehouse offers real-time data querying, which expedites getting insights from data. Faster insights help in decision-making, which helps business growth.
Security: Data stored in the cloud are more secure than those on-premises. Cloud data warehouse offers improved data security by leveraging the power of the cloud.

Choosing a Cloud Data Warehouse Provider

Choosing the right cloud data warehouse provider is essential to the success of a data-driven business. Below are crucial factors to consider when selecting a provider.

Data-integration
Security
Performance
Pricing

Cloud Data Warehouses are game-changers

A cloud data warehouse is an excellent option for data-driven businesses. It is a powerful tool that helps companies to manage and analyze data with pay-as-you-go pricing. It is essential to consider the key factors to ensure choosing a solution that aligns with the business.

What is the `new` keyword in JavaScript?

Akande Olalekan Toheeb — Mon, 17 Apr 2023 02:10:34 +0000

The new keyword in JavaScript is used to create new object instances from either:

A constructor function: A constructor function is used to create and initialize an object created with the new keyword.
A JavaScript class: A class is a template for creating objects in JavaScript.

The new keyword does the following to create an object:

Creates a new object instance.
Binds the new object's prototype to the parent's prototype property, i.e., a constructor function or a class.
Executes the function or the class with the given arguments, then binds the this keyword to the newly created object.
Returns the new object.

Object creation using the `new` keyword

The new keyword creates new objects from a constructor function or a javascript class. Here's a quick run-through of how it's done.

The Constructor function

Follow the steps below to create a new object using the new keyword and a constructor function:

Define a constructor function.
Use the new keyword to create an instance from the constructor function.

When a constructor function is invoked with the new keyword, a new object is created with its properties and methods.

Example

Here's an example of using the new keyword with a constructor function:

function Writer(fname, lname){
  //Properties
  this.firstName = fname;
  this.lastName = lname;

  //Method(S)
  this.sayName = () => {
    let fullName = `${this.firstName} ${this.lastName}`;

    console.log(fullName);
  }
}

let jsWriter = new Writer('Akande', 'Olalekan Toheeb');

console.log(jsWriter);
jsWriter.sayName();

Explanation

Line 1: A constructor with two parameters, fname and lname, is created.
Lines 3 and 4: fname and lname are assigned to this.firstName and this.lastName, respectively.
Line 7: A method that does something is created.
Line 14: The new keyword creates a new object instance, jsWriter.

When the new keyword is used with Writer, it creates a new object with its own set of fname and lname properties. The jsWriter object is assigned to the result of calling the Writer constructor function with the new keyword and passing in the arguments Akande and Olalekan Toheeb.

Note: sayName is also available to jsWriter. Remember, jsWriter is a copy of Writer.

Line 16: The new object is logged into the console.
Line 17: Test if sayName exist in jsWriter by calling it.

The Constructor function

Creating a new object using the new keyword and a Constructor function is similar to creating it with the new keyword and a JavaScript class. Below is an example.

Example


class Writer{
  constructor(fname, lname){
    //Properties
    this.firstName = fname,
    this.lastName = lname
  }

  //Method(s)
  sayName = () => {
    let fullName = `${this.firstName} ${this.lastName}`;

    console.log(fullName);
  }
}

let jsWriter = new Writer('Akande', 'Olalekan Toheeb');

console.log(jsWriter);
jsWriter.sayName();

Explanation

Line 1: A javascript class was created with two parameters, fname and lname.
Lines 4 and 5: fname and lname are bound to this.firstName and this.lastName, respectively.
Line 9: A method that does something is created.
Line 16: The new keyword creates a new object instance, jsWriter.

LinkedIn Email Finder API

Akande Olalekan Toheeb — Fri, 10 Mar 2023 10:57:59 +0000

Worldwide, almost all professionals utilize LinkedInnnn. LinkedIn has a ton of B2B contacts on profiles but doesn't have an easy way to scan them like a contact phonebook. Getting verified B2B Emails from LinkedIn Profiles is a very rare thing. You will have to wade through B2B emails and look up emails through many sources.

Although, LinkedIn inMail is very much useful but it is very much limited. You either need to be connected to a profile or the email listed on a LinkedIn profile is not a work email. You might need an external solution.

Sure, there are tools that helps you fetch a work email of any LinkedIn profile. But more often or not, these are tools with a user-interface intended for end-users. If you're seeking a tool with a user-interface, this is not the article for you. Instead, this article is for teams with software engineers looking to implement an Email Finding API within their product or business workflow so you fetch B2B emails at scale, programmatically.

The easiest way to get their email is using LinkedIn Email Finder API

What is LinkedIn Email Finder API?

LinkedIn is the world's most popular social network for businesses and professionals.

As of April 2022, the total number of profiles on LinkedIn is 810 million with 310 million active users every month. This means that there are 810 million businesses and professionals that grow their professions with LinkedIn.

On LinkedIn, there is a practically unlimited possibility of data richness, but how can you properly tap into it?

This is practically done by using LinkedIn Email extractor tools and scrapers.

By scraping user profiles, these services hunt for email addresses. They can add new functionalities (often new buttons) while viewing specific profiles of persons and businesses as separate applications or Chrome extensions.

By using LinkedIn email scrapers, you may obtain these priceless addresses and then send them through your preferred CRM program or email provider for an outreach campaign, avoiding the cumbersome and frequently unreliable LinkedIn InMail system.

Even though there are literally hundreds of good apps that can scrape LinkedIn looking for emails, I know you want the best AND the most economical.

So, I am introducing to you the Proxycurl LinkedIn Email Finder API

Proxycurl LinkedIn Email Finder API

Proxycurl LinkedIn Email Finder API is one of the API services of Proxycurl API ( A large-scale data crawler built by Nubela.co ).

A suite of utilities called the Proxycurl API is supposed to handle the plumbing for fresh and processed data in your application. Between your application and the raw data, it serves as a completely managed layer, absolving you of the burden of managing data processing at scale and allowing you to concentrate on creating the application.

The Contact API includes the Proxycurl LinkedIn Email Finder API as a sub-tool. You can look up a specific LinkedIn profile's personal email using this API. The email that comes, as a result, is authentic and belongs to the identity.

The Proxycurl LinkedIn Email Finder API is good for extracting emails and it only costs one credit per email returned.

Why Proxycurl?

Proxycurl API is an easy-to-use and affordable large-scale data crawler.

You can use the Proxycurl API to:

Find persons
Find companies
Fill out personal profiles
Complete company profiles
Obtain contact details for individuals and businesses
Verify whether an email address is disposable before using it.

Bearer tokens are used by the Proxycurl API to verify users. Under the API area of the dashboard, a secret key that is generated at random is given to each user.

Proxycurl API allows for up to 300 requests per minute. The rate limit has a 5-minute timeframe. Therefore, you can make up to 1500 requests in a 5-minute burst.

It would be a great experience to make Proxycurl your default data crawler for web scrapping.

How to use the Proxycurl LinkedIn Email Finder API

Prerequisites

Proxycurl Account
Proxycurl Credit
Proxycurl API Key
Pycharm ( Python IDE)
The Python request library

Getting started

Step 1 Go to nubela.co and set up an account.

You will be given 10 credits as a welcome gift for setting up an account.
Step 2 Just go to your dashboard to get your API Key. This is how your dashboard appears:

Step 3: Click on "Proxycurl API" in the menu on the left-hand side of the page to access the embedded dropdown. After that, click on "Docs" and you'll be directed to the API documentation page.
Locate the "contact API" and click on it to bring up a dropdown that includes the "Personal Email Lookup Endpoint" in it.

Congratulations! You've found the ideal API for locating LinkedIn emails.

Fetching Emails

It's simple to utilize the Proxycurl Email Finder.

You can locate the API once you've finished the aforementioned procedures. The API is accessible in both Python and Shell. I'll be using the Python version to explain this.

This is how the Python version API looks:


api_endpoint = 'https://nubela.co/proxycurl/api/contact-api/personal-email'
api_key = 'YOUR_API_KEY'
header_dic = {'Authorization': 'Bearer ' + api_key}
params = {
    'email_validation': 'include',
    'linkedin_profile_url': 'https://linkedin.com/in/steven-goh-6738131b',
}
response = requests.get(api_endpoint,
                        params=params,
                        headers=header_dic)

Explanation

This is your API.

The next step is to open your Python IDE and get to work.

The de facto industry standard for sending HTTP requests in Python is the requests library. To let you concentrate on communicating with services and consuming data in your application, it isolates the difficulties of making requests behind a lovely, straightforward API.

Installing the library should be your first action if you haven't already. You can simply do this by running the following commands with shell:

$ pip install requests

You can simply use the below if you prefer pipenv for managing Python packages.

$ pipenv install requests

Once it's installed you can now use it in your application. It looks like this:

import requests

Your API

You are almost there!

The API must now be entered into your Python IDE. Don't forget to substitute your API key for API key.

The the_profile_url is also replaced with desired profile URL you are looking up in its email.

Run your code and check for the response code.

A request that receives a 200 or 404 HTTP status code is considered successful.

You can check the doc for a better understanding of the successful and error codes.

To check the mail found, kindly go to your console and run this code

response.content

This will display the email of the LinkedIn profile URL used in the API.

Is that all? Yes, you've successfully found a LinkedIn Profile email with Proxycurl LinkedIn Email Finder API

3 Simple Methods To Do Reverse Email Lookup

Akande Olalekan Toheeb — Wed, 14 Dec 2022 12:29:49 +0000

Reverse email lookup is one of the most popular methods to find someone's email address. All you need is the person's name and the domain they use, and you can usually find their email address in a matter of seconds.

However, reverse email lookup isn't always as simple as it seems. In many cases, the email address you're looking for won't be listed in the first few results. This can be frustrating, especially if trying to find a specific person's email address.

In this article, I'll explain the 3 simple methods to do reverse email lookup. By using these methods, you'll be able to find almost any email address you're looking for. I'll also introduce the Proxycurl reverse email lookup API, an affordable tool to help you quickly carry out reverse email lookup.

Let's get to it!

What is Reverse Email Lookup?

Reverse email lookup is finding an email address by searching for clues in other places on the internet.

Reverse email lookup is a process of using an email address to search for the identity of the owner of the email address. This can be useful for verifying the identity of someone you are communicating with or tracking down the source of spam or other unwanted emails.

To perform a reverse email lookup, you will need to use a specialized service or tool that can search through public records and other online sources to try to match the email address to a name or other identifying information. It is important to note that this type of search is not always successful, as many people use pseudonyms or other false information when creating email accounts.

However, a few different ways to successfully perform reverse email lookups are explained in the following section.

Simple Methods to do Reverse Email Lookup

There are several simple methods that you can use to do a reverse email lookup, which is the process of finding out the person or organization associated with a given email address. Here are three common methods:

1.Search the email address on social media platforms: Many people and organizations have a presence on social media, and their email addresses are often listed on their profile pages. Search for the email address on platforms like Facebook, Twitter, and LinkedIn to find a matching profile.

2.Use a reverse email lookup service: Many online services allow you to do a reverse email lookup by entering the email address. These services typically search public databases and other information sources to find a match for the email address. Examples are Paid Reverse Email Lookup Tools, and Automated Reverse Email Lookup Using An API, e.g., Proxycurl Reverse Work Email Lookup API..

3.Contact the email provider: If you cannot find any information about the email address using the first two methods, you can try contacting the email provider (e.g., Gmail, Yahoo, etc.) and asking if they can provide any information about the owner of the email address. However, email providers are not required to disclose this information, so this method may not always be successful.

The above are the three simple methods to successfully perform reverse email lookups. Meanwhile, I suggest using the Proxycurl Reverse Work Email Lookup API..to perform your reverse email lookups.

What is the Proxycurl Reverse Work Email Lookup API Though?

Proxycurl Reverse Work Email Lookup API. is one of the services that Proxycurl provides.

Proxycurl is an excellent tool for obtaining rich data about individuals, organizations, and companies.

The Proxycurl Reverse Work Email Lookup API. is a tool that can be used programmatically to pull data into applications. It is fast and low-cost.

Wrap Up

If you need to do a reverse email lookup, you can use a few simple methods. The first is to search for the email address on social media sites. The second is to use a reverse email lookup service. The third is to contact the email provider. All these methods are effective, but a reverse email lookup service is the most reliable way to get accurate results.

Check our 3 Simple Methods To Do Reverse Email Lookup to learn more.

The Ultimate Guide to Alternative Data - What Is It Really

Akande Olalekan Toheeb — Wed, 16 Nov 2022 08:30:58 +0000

You have probably heard the term “alternative data” being thrown around a lot lately. But what is it really?
In short, alternative data is any type of data that is not traditional market data. This can include things like social media data, satellite images, web traffic data, and even data from weather sensors.

Alternative data has become increasingly popular in recent years, as investors look for new ways to gain an edge in the markets. The use of alternative data is often seen as a way to level the playing field between large institutions and individual investors.

So, if you are looking for a guide to alternative data, you have come to the right place! In this article, we will explain what alternative data is, how it can be used, and where you can find it.

What Is Alternative Data?

Alternative data is any data that is not part of the traditional financial data set. In other words, it is data that is not typically used by analysts to make investment decisions.

Alternative data can come from a variety of sources, including social media, online search data, satellite images, and more. The key is that alternative data can be used to gain insights into a company or industry that would be otherwise difficult to obtain.

Alternative data is becoming increasingly popular as more and more companies look for ways to gain an edge on the competition. As the availability of alternative data sources grows, so too does the potential for alternative data to revolutionize the way we make investment decisions.

Benefits of Alternative Data

Alternative data is data that is not typically used in financial analysis, such as social media data, satellite data, and web data. While traditional data sources like earnings reports and economic data are still important, alternative data can provide a more complete picture of a company and its prospects.

Alternative data can be used to make better investment decisions, identify new growth opportunities, and get an edge on the competition. For these reasons, alternative data is becoming increasingly popular among investors and analysts.

If you're not using alternative data in your investment analysis, you may be missing out on valuable insights. In this article, we'll discuss the benefits of alternative data and how it can be used to improve your investment decisions.

How to get Started with Alternative Data

Alternative data is data that is not typically used in financial analysis. This can include data sets such as satellite imagery, social media data, and web traffic data. In recent years, alternative data has become an increasingly popular tool for hedge funds and other financial institutions.

So how can you get started with alternative data? Here are a few tips:

Know what data sets are available.
Understand the data sets.
Find a data provider that offers the data sets you need.
Analyze the data and look for trends.
Make decisions based on your analysis.

Proxycurl has done most of the work for you, all you need to do is navigate to their official website and get started.

The challenges of Alternative Data

Alternative data is data that is not typically used in investment decision-making. This can include everything from social media data to satellite data to weather data. While alternative data has the potential to provide unique insights into companies and markets, there are also a number of challenges that come with using this type of data.

First and foremost, alternative data is often unstructured and can be difficult to clean and standardize. This can make it difficult to perform analysis and draw meaningful conclusions from the data. Additionally, alternative data sources are often proprietary and can be expensive to access. And finally, there is always the risk that the data may not be reliable or accurate.

Despite these challenges, alternative data is becoming increasingly popular among investors. As more and more companies begin to collect and use alternative data, the industry will continue to evolve and new solutions will be.

The Future

As we move into the future, alternative data is becoming increasingly important. This data includes things like social media data, satellite data, traffic data, and more. This data can be used to gain valuable insights into all sorts of different areas, from the stock market to consumer behavior.

Alternative data is changing the way businesses operate and giving them a new way to understand the world around them. As we collect more and more data, the potential uses for it are only going to grow. So what does the future hold for alternative data? Only time will tell, but it's sure to be exciting.

Getting started with this exciting way of working with data? Learn more and start using Proxycurltoday.

Compute As a Service on AWS

Akande Olalekan Toheeb — Fri, 17 Jun 2022 08:22:58 +0000

Compute is one of the IT resources that can be delivered on-demand over the internet with Cloud Computing. Vendors like AWS make sure this service is easy to use with low pricing with their various services.

In this article, I am going to explain what compute means and various AWS services that deliver this resources on-demand with pay-as-you-go pricing.

What is Compute?

Compute objects provides the brains to process your data. Hardware devices in physical data centers is a comparison.

A standard compute device will have a working CPU or multiple CPUs and it will possess many Gigabytes of RAM to process systems and applications. A typical example is a server -physical or virtual-.

Compute resources can be considered the brains and the processing power required by applications and systems to carry out computational tasks via series of instructions.

Servers are the first building block you need to host your applications. They handle requests i.e HTTP and send responses to client. The client, a user or a computer , sends requests and the server handle this request and sends a response. This is only possible with the perfect CPU and RAM that makes the processes run smoothly.

These servers and other compute services are delivered over the internet without you going through the stress of buying and setting up these hardwares in your data centers.

Compute services on AWS

AS a world-class vendor of various Cloud Computing services, AWS has many compute services which can be used by enterprises and companies for their infrastructure at low cost.

At a fundamental level, there are three types of compute options in AWS, these are:

Virtual Machines
Container services
Serverless

Virtual Machines

Virtual Machines are also called Intances. They work on the principle of Virtualization.

These services provide secure and scalable compute services in the cloud. Amazon Elastic Compute [EC2], Amazon Lightshell, and AWS Batch are examples AWS virtual machines.

Container Services

Containers provide you with a standard way to package your application's code and dependencies into a single object. AWS has services which supports the use of Dockers and Kubernetes at low cost and they are also scalable.

AWS has Amazon Elastic Container Service (ECS), Amazon Container Registry(ECR), and Amazon Kubernetes Service(EKS) has its container compute services.

Serverless

When we say Serverless, we mean your code runs on servers but you don't need to provision or manage these servers. You have more focus on innovating new products and features instead of maintaining servers.

AWS manages the servers and the underlying infrastructure for you. An AWS service for serverless computing is the AWS Lamda.

These services are scalable, multi-utility, fast, have a wide-scope and exist in multiple locations.

To learn more about AWS Compute services, visit the AWS Compute Service page.

Do you know what the concat() is used for?

Akande Olalekan Toheeb — Wed, 09 Mar 2022 09:55:04 +0000

Hi folks 👋!

Trust you are well. I'm here again to show you an easy way of adding arrays.

I am Akande Olalekan Toheeb, a Nigerian self-taught developer who is passionate about solving problems and helping others with the easiest way in problem solving.

overview

Every beginner is exposed to the concatenation + when it comes to adding variables, arrays and even strings in JavaScript. Such that when you want to add an array to a predefined array, you do it this way:


 var array1= ["Akande", 22];
 var array2 = ["Olalekan", 25];

 array1 += array2;

console.log(array1);

The console looks like this:

Every beginner are exposed to this because that's what they learn.

Here I provide you with a very easy way to do this.

The concat() is a method of adding arrays.

Let me show how it is done.

Suppose you want to add an array array_2 to another array array_1. All you need to is add .concat() to the first array and input the array you wish to add, array_2 inside the bracket.

This way :


var myConcat = (arr1, arr2) => arr1.concat(arr2);
console.log(myConcat(["Akande", 22], ["Olalekan", 25]));

This prints ['Akande', 22, 'Olalekan', 25] to the console:

Using this method will save a lot of time and energy. Make use of it for best practice.

Thank you for reading, have a nice day!

Your appreciation is my motivation 😊 - Give it a like

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DEV Community: Akande Olalekan Toheeb

Mastering AWS Cost Management: Take Control of Your Cloud Spend

Why Cost Management Matters on AWS

Core AWS Cost Management Tools

1. AWS Cost Explorer

2. AWS Budgets

3. AWS Cost Anomaly Detection

4. AWS Pricing Calculator

5. Consolidated Billing

Cost Optimization Best Practices

Final Thoughts

Amazon S3: Your Cloud Storage Companion

What Exactly Is Amazon S3?

Why Engineers Trust S3

How Does It Work in Real Life?

A Few Pro Tips

In a Nutshell

How DDBuildingTech Transformed Decision-Making with Arthurite Integrated’s AWS Analytics Solution

The Challenge

The Solution

The Results

Conclusion

How Titian Physiotherapy Transformed Their Operations with Arthurite Integrated’s AWS Solutions

The Solution

The Results

Client Testimonial

Conclusion

Amazon EC2: Everything you need to know

Amazon EC2: The Concept

Importance of Cloud Computing and Elastic Cloud

Keys Features and Capabilities of Amazon EC2

Components of Amazon EC2

Amazon Machine Image

Instance Types

General Purpose

Compute Optimized

Memory Optimized

AcceLerated Computing

Storage Optimized

HPC (High performance computing) Instances

Purchase Models

On-Demand Instances

Reserved Instances

Scheduled Instances

Spot Instances

Dedicated Instances

Dedicated Hosts

Tenancy

User Data

Storage Options

Persistent Storage

Ephemeral Storage

Security

Scalability and Load Balancing

Amazon EC2 Auto Scaling

Elastic load Balancing

Real-world Use Case of Amazon EC2

Wrap Up

Cloud Data Warehouse: An Introduction

Cloud Data Warehouse

Benefits of a Cloud Data Warehouse

Choosing a Cloud Data Warehouse Provider

Cloud Data Warehouses are game-changers

What is the `new` keyword in JavaScript?

Object creation using the new keyword

The Constructor function

Example

Explanation

The Constructor function

Example

Explanation

LinkedIn Email Finder API

What is LinkedIn Email Finder API?

Proxycurl LinkedIn Email Finder API

Why Proxycurl?

How to use the Proxycurl LinkedIn Email Finder API

Prerequisites

Getting started

Fetching Emails

Explanation

Object creation using the `new` keyword