DEV Community: shivlal kumavat

Batch APIs in Node.js: Where Most Systems Fail

shivlal kumavat — Mon, 29 Dec 2025 12:25:49 +0000

Batch APIs look simple at first.

Send many records -> process them -> done.

But reality is different 😄

If one record has bad data.
And suddenly because of that:

The entire batch failed.
999 good records get punished.
The client has no idea what actually going wrong.

Another common problem:

The API always returns 200 OK.
But half the records quietly failed.
No clear success or failure details.

And retries?
Usually it’s just:

Retry the whole batch.

Now the system:

Reprocesses records that already succeeded.
Creates duplicate data.
Wastes time and resources.

A good batch API: One bad input should never break the whole batch
The key rule I followed simple:

Handle each record separately.
Validation errors stayed with that record only.
The batch still completed, and valid inputs returned success results.
Clearly show what worked and what didn’t.
Retry only the failed records.
Do its job without surprises.

Batch processing isn’t about handling a lot of data.
It’s about handling bad data without breaking the rest.

If you worked with Node.js batch jobs, queues, or async workers.
You have definitely seen this 😅 and you can relate.

How to Get Total Video Length from a Zip Archive in Node.js

shivlal kumavat — Wed, 25 Dec 2024 10:54:59 +0000

Introduction

In this tutorial, we'll delve into the process of calculating the total duration of videos contained within a zip archive using Node.js. This can be particularly useful for media management, video editing, or any scenario where you need to quickly assess the total video footage in a compressed file.

Prerequisites:

Installation:

Node.js and npm (or yarn) installed on your system.

Create a new Node.js project:

mkdir video-duration-calculator cd video-duration-calculator npm init -y

Install required dependencies:

npm install unzipper get-video-duration path fs

Code Implementation index.ts:

import * as fs from "fs";
import { getVideoDurationInSeconds } from "get-video-duration";
import * as unzipper from "unzipper";
import * as path from "path";

async function calculateTotalDuration(zipFilePath: string): Promise<number> {
  try {
    let totalDurationSeconds = 0;

    const directory = await unzipper.Open.file(zipFilePath);

    for (const entry of directory.files) {
      if (entry.path.match(/\.(mp4|mov|avi|mkv)$/i)) {
        const videoData = await entry.buffer();

        // Construct the temporary file path (cross-platform compatible)
        const tempFilePath = `./temp_${entry.path.replace(/[/\\]/g, "_")}`;

        console.log("Entry name:", entry.path);
        console.log("Temporary file path:", tempFilePath);

        // Ensure the directory exists (cross-platform compatible)
        const dirName = tempFilePath.substring(
          0,
          tempFilePath.lastIndexOf(path.sep)
        );
        if (!fs.existsSync(dirName)) {
          fs.mkdirSync(dirName, { recursive: true });
        }

        fs.writeFileSync(tempFilePath, videoData);

        try {
          await new Promise((resolve) => setTimeout(resolve, 100));

          const duration = await getVideoDurationInSeconds(tempFilePath);
          totalDurationSeconds += duration;
        } catch (readError) {
          console.error(
            `Error reading video duration from ${tempFilePath}:`,
            readError
          );
        } finally {
          try {
            fs.unlinkSync(tempFilePath);
          } catch (deleteError) {
            console.error(
              `Error deleting temporary file ${tempFilePath}:`,
              deleteError
            );
          }
        }
      }
    }

    const totalDurationMinutes = totalDurationSeconds / 60;
    return parseFloat(totalDurationMinutes.toFixed(2));
  } catch (error) {
    console.error("Error calculating total duration:", error);
    throw error;
  }
}

// Example usage (adjust the path according to your OS)
const zipFilePath =
  process.platform === "win32"
    ? "C:\\Users\\your-username\\Downloads\\video-test-duretion.zip"
    : "/home/lcom/Documents/video-test-duretion.zip";

calculateTotalDuration(zipFilePath)
  .then((totalDurationMinutes) => {
    console.log(`Total duration of videos =>: ${totalDurationMinutes} minutes`);
  })
  .catch((error) => {
    console.error("Error:", error);
  });

Explanation:

Unzipping: The code uses the unzipper library to extract the video files from the zip archive.
Temporary File Creation: Each extracted video is saved to a temporary file.
Video Duration Calculation: The get-video-duration library is used to calculate the duration of each temporary video file.
Total Duration Calculation: The total duration of all videos is calculated by summing up the individual durations.
Cleanup: Temporary files are deleted after processing.
Cross-Platform Compatibility:
The code is designed to work on both Windows and Linux systems by using the path.sep property to determine the correct file separator.

Remember to:

Replace the placeholder zipFilePath with the actual path to your zip file.
Install the required dependencies (unzipper and get-video-duration) using npm install.
Adjust the code and error handling as needed for your specific use case.
By following these steps and understanding the code's logic, you can effectively calculate the total video duration from a zip archive using Node.js.

Thank you for reading. For more blog https://dev.to/slk5611

Redis Queue: Optimising Workflows with Message Queues

shivlal kumavat — Fri, 08 Mar 2024 12:43:58 +0000

Introduction

Redis is an in-memory data structure store that can be used in various ways, such as a database, cache, message broker, and streaming engine. In this article, we will look at how Redis can improve workflows by using message queues.

Message queues play a crucial role in streamlining workflows by enabling asynchronous communication between different parts of a system. We will delve into how Redis facilitates the implementation of efficient message queues, optimising task management and resource utilisation.

Throughout this article, we will cover the following key areas:

Understanding Redis as a powerful tool for workflow optimisation
Building message queues with Redis Queue
Advanced techniques for workflow management in Redis
Ensuring performance and resilience with transactions and automatic fail over
Real-world use cases and case studies demonstrating the successful application of Redis Queue
Best practices for effective utilisation of Redis Queue in production systems
Exploring other Redis use cases and tools

Let's uncover the potential of Redis Queue in enhancing workflow efficiency and reliability.

Understanding Redis as a Powerful Tool for Workflow Optimisation

Redis Data Structures

Redis offers a wide range of powerful data structures, including:

Strings
Hashes
Lists
Sets
Sorted sets
Bitmaps
HyperLog Logs
Geo-spatial indexes
Streams

Each of these data structures can be utilised to create efficient message queues that are specifically tailored to meet the needs of your workflow.

Benefits of Redis in Workflow Optimisation

There are several advantages to using Redis for workflow optimisation:

Versatility: Redis provides a flexible platform that can be used for various purposes within a workflow, making it highly adaptable to different scenarios.
High Performance: Redis is known for its speed and efficiency in handling data, making it ideal for managing large volumes of tasks in real-time.
Effective Task Management: By leveraging Redis data structures, you can effectively organise and prioritise tasks within your message queue, ensuring that they are processed in the most efficient manner.
Smooth Communication: Redis facilitates seamless communication between different components of a workflow, allowing for smooth hand off of tasks and information.

Overall, Redis serves as a powerful tool for optimising workflows by providing robust data structures and efficient message queue capabilities.

Building Message Queues with Redis Queue

Redis provides a powerful mechanism called Pub/Sub for creating robust message queue systems. With Pub/Sub, you can easily build efficient message queues in Redis. Here's an in-depth exploration of how to utilise this mechanism for workflow optimisation:

Pub/Sub Mechanism

Redis Pub/Sub allows you to publish messages to channels and subscribe to receive those messages. This mechanism enables decoupling between the sender and receiver, making it ideal for building message queues. The key components of Pub/Sub are:

Publishers: Publishers are responsible for sending messages to specific channels.
Subscribers: Subscribers can subscribe to one or more channels and receive messages published on those channels.

Creating Message Queues

To create a message queue with Redis Pub/Sub, you can follow these steps:

Create a channel for the message queue.
Publishers publish messages to the channel.
Subscribers subscribe to the channel and process the messages.

Asynchronous Replication

Asynchronous replication is another feature of Redis that can be leveraged for improved scalability and reliability in message queue systems. By enabling asynchronous replication, you can set up multiple Redis instances where one acts as the master and others as replicas. This setup offers several benefits:

The master instance receives write requests from publishers and forwards them asynchronously to replica instances.
Subscribers can then connect to replica instances for consuming messages, offloading the processing load from the master instance.

Utilising both Pub/Sub and asynchronous replication in Redis allows you to build highly scalable and fault-tolerant message queue systems. These features ensure that your workflow optimisation processes can handle high volumes of messages while maintaining reliability.

Advanced Techniques for Workflow Management in Redis

Redis offers advanced techniques for efficient workflow management. In this section, we will discuss two key techniques: Lua scripting and LRU eviction.

Understanding the Role of Lua Scripting in Implementing Complex Workflows with Redis

Lua scripting is a powerful feature in Redis that allows you to execute custom scripts on the server side. It provides a way to perform complex operations and implement custom logic within Redis itself. Here's why Lua scripting is beneficial for workflow management:

Reduced network round trips: With Lua scripting, you can execute multiple commands in a single network round trip, reducing latency and improving performance.
Atomicity: Lua scripts are executed atomically, ensuring that multiple operations are performed as a single transaction. This guarantees data integrity, making it ideal for complex workflows.
Reusability: Lua scripts can be stored and reused on the server, enabling you to define reusable functions and procedures that can be called from other parts of your workflow.

Managing Memory Effectively using LRU Eviction Strategy in Redis Queue

Memory management is crucial for maintaining optimal performance in Redis Queue. One effective strategy provided by Redis is Least Recently Used (LRU) eviction. Here's how LRU eviction helps manage memory effectively:

Evicting less frequently used items: With LRU eviction, Redis automatically removes the least recently used items from memory when it reaches its maximum capacity. This ensures that the most frequently accessed data remains in memory while freeing up space for new items.
Configurable eviction policy: Redis allows you to configure the maximum memory limit and set different eviction policies based on your requirements. You can choose from LRU, random, or other algorithms to determine which keys are evicted when memory is full.
Protecting important data: To ensure critical data is not evicted, Redis provides the ability to set specific keys as "volatile" or "never expire", preventing them from being evicted even when memory is full.

By utilising Lua scripting and LRU eviction, you can implement complex workflows efficiently while effectively managing memory in Redis Queue.

Ensuring Performance and Resilience with Transactions and Automatic Fail over

Maintaining Data Integrity with Transactions

Transactions in Redis message queues play a critical role in maintaining data integrity. By grouping multiple commands together, transactions ensure that either all of the commands are processed or none of them are. This atomicity guarantees the consistency of the data, especially in scenarios where multiple operations need to be performed as a single unit.

Achieving High Availability with Automatic Fail over

In addition to maintaining data integrity, ensuring high availability is crucial for workflow optimisation. Redis provides automatic fail over mechanisms to achieve this. In a Redis cluster setup, automatic fail over allows the system to seamlessly transition from a primary node to a replica node in the event of a primary node failure. This ensures continuous availability and minimises downtime in message queue systems.

The Benefits of Combining Transactions and Automatic Fail over

By combining the reliability of transactions with the seamless fail over capabilities of Redis, message queue systems can achieve both performance and resilience, making them well-suited for demanding workflow optimisation scenarios.

Real-World Use Cases: From Machine Learning to Geospatial Processing

Redis Queue has found extensive applications in real-world scenarios, particularly in the domains of machine learning and geospatial data processing. Let's delve into some specific use cases where Redis Queue has played a pivotal role:

Machine Learning Model Training

Redis Queue is increasingly being utilised in machine learning workflows for efficient model training and inference. With the ability to handle high-throughput tasks and manage distributed computing resources, Redis Queue facilitates the orchestration of complex machine learning pipelines. By leveraging its message queuing capabilities, organisations can streamline the distribution of training jobs across multiple compute nodes, ensuring optimal resource utilisation and minimising latency.

Geospatial Data Processing

In geospatial applications, Redis Queue serves as a robust foundation for managing spatial data processing tasks. Whether it involves real-time geofencing, location-based services, or spatial indexing, Redis Queue enables seamless coordination of geospatial computations. Its ability to handle large volumes of location-based data while ensuring low-latency access makes it an ideal choice for geospatial data processing workflows.

By harnessing the message queuing features of Redis Queue, businesses can achieve enhanced scalability, responsiveness, and fault tolerance in their machine learning and geospatial processing endeavours.

Case Studies: Companies Leveraging Redis Queue for Workflow Optimisation

Redis Queue has become a popular choice for companies looking to optimise their workflows and improve efficiency. Let's explore how leading companies have successfully applied Redis Queue to streamline their processes through real-world case studies:

1. Instagram

Instagram, the renowned social media platform, leverages Redis Queue to handle their massive scale of image uploads and processing. By using Redis Queue as a message broker, they are able to efficiently distribute incoming images to different processing nodes. This allows them to parallelised the image processing tasks and significantly reduce the overall time it takes to process user uploads.

2. Netflix

Netflix, the world's leading streaming service, relies on Redis Queue for managing their recommendation engine. With millions of users accessing their platform simultaneously, it is crucial for Netflix to deliver personalised recommendations in real-time. By utilising Redis Queue's pub/sub mechanism, they can process user requests asynchronously and update recommendations in near real-time.

3. Uber

Uber, the popular ride-sharing platform, utilises Redis Queue for managing their geolocation processing tasks. With millions of drivers and riders constantly moving across cities, accurate geolocation data is crucial for providing seamless experiences. Redis Queue allows Uber to efficiently process and update geolocation data in real-time, ensuring accurate routing and minimal wait times for users.

4. Airbnb

Airbnb, the online marketplace for vacation rentals, uses Redis Queue to optimise their search indexing process. With thousands of new listings being added every day, it is essential for Airbnb to index these listings quickly and accurately. By leveraging Redis Queue's message queue system, they can distribute the indexing tasks across multiple servers, improving performance and reducing latency.

These case studies highlight how Redis Queue has been successfully implemented by leading companies to optimise their workflows and achieve greater efficiency. By leveraging the power of message queues, these companies are able to handle large-scale operations seamlessly and deliver exceptional user experiences.

Best Practices for Effective Utilisation of Redis Queue in Production Systems

When it comes to utilising Redis Queue in production systems, there are essential best practices and guidelines to ensure the design of scalable and fault-tolerant message queue systems. These practices are crucial for optimising workflows and maintaining high performance in real-world scenarios. Here are some key points to consider:

Scalability

Design the message queue system with horizontal scalability in mind, allowing for seamless expansion as the workload increases. Utilise Redis Cluster for distributing data across multiple nodes and ensuring high availability.

Fault Tolerance

Implement redundancy and fail over mechanisms to mitigate the impact of potential failures. Leverage Redis Sentinel for automatic fail over and monitoring, ensuring continuous operation even in the face of node failures.

Monitoring and Alerting

Set up comprehensive monitoring tools to track key metrics such as throughput, latency, and error rates. Establish proactive alerting systems to promptly address any issues that may arise within the message queue infrastructure.

Security Considerations

Prioritise security measures such as access control, encryption, and network isolation to safeguard sensitive data transmitted through the message queue.

By adhering to these best practices, organisations can effectively harness the power of Redis Queue in production environments, enabling seamless workflow optimisation and reliable message processing at scale.

Exploring Other Redis Use Cases and Tools

Redis is a versatile tool with a wide array of use cases beyond message queuing. Some of the common uses and integrations include:

Caching with Elasticache

Redis is commonly used as a caching solution, and AWS offers a managed Redis service called Amazon ElastiCache. This allows you to:

Offload read-heavy database operations
Improve application performance
Reduce latency by caching frequently accessed data in memory

Integration with Docker

Redis can be seamlessly integrated with Docker containers, allowing for easy deployment and management of Redis instances within containerised environments. This enables greater flexibility and scalability for applications using Redis.

Usage with Node.js

Node.js has strong support for Redis through npm packages, allowing developers to easily integrate Redis into their applications for various purposes such as:

Caching
Session management
Real-time data processing

These integrations showcase the adaptability of Redis across different technological ecosystems and its effectiveness in addressing various performance and scalability challenges beyond just message queuing.

Conclusion

Redis Queue offers a powerful solution for optimising workflows and streamlining message queues. As you've seen throughout this article, Redis provides an array of features and capabilities that make it an ideal choice for managing complex workflows and ensuring efficient message queuing.

The exploration of Redis Queue has only scratched the surface of its potential in workflow optimisation. By delving deeper into its functionalities, you can uncover even more ways to enhance your processes and boost productivity. Whether you're a developer, data engineer, or business strategist, Redis Queue holds valuable opportunities for refining your systems and maximising efficiency.

With its robust set of tools and versatile applications, Redis Queue stands as a cornerstone for modern workflow optimisation. Embracing this technology opens doors to innovation and agility in handling tasks across various domains. Don't hesitate to leverage Redis Queue's capabilities and propel your workflows to new heights.

Redis Queue is not just a tool; it's a pathway to streamlined operations, improved scalability, and enhanced performance. So take the next step – dive into Redis Queue and unlock its full potential for optimising your workflows and message queues.

FAQs (Frequently Asked Questions)

What are the various uses of Redis?

Redis can be used as a database, cache, message broker, and streaming engine.

Why are message queues important in optimising workflows?

Message queues play a crucial role in optimising workflows by enabling asynchronous communication and decoupling of components, leading to improved scalability and reliability.

What Redis data structures can be leveraged for building efficient message queues?

Redis offers various data structures such as strings, hashes, lists, sets, sorted sets, bitmaps, hyperlog logs, geospatial indexes, and streams, which can be utilised for building efficient message queues.

How can Redis be used for workflow optimisation?

Redis provides benefits for workflow optimisation scenarios through its data structures and mechanisms, allowing for efficient message queue systems and improved scalability.

What are some advanced techniques for workflow management in Redis?

Advanced techniques for workflow management in Redis include Lua scripting for implementing complex workflows and LRU eviction strategy for managing memory effectively in Redis Queue.

How can Redis ensure performance and resilience in message queue systems?

Redis ensures performance and resilience through features like transactions for maintaining data integrity and automatic fail over mechanisms for high availability in message queue systems.

One of the key performance-enhancing techniques in Redis is pipe lining, which allows multiple commands to be sent to the server in a single network request. This reduces round-trip latency and significantly boosts throughput.

Additionally, Redis also offers clustering capabilities that allow distributing data across multiple nodes, enabling horizontal scaling and improved resilience against failures.

By combining these techniques and leveraging Redis' in-memory data storage, message queue systems can achieve high performance and reliability, making it a popular choice for such use cases.

Thank you for reading. Happy Codding!

Avoid a Malicious Attack MongoDB: How It Happened and What We Did About It.

shivlal kumavat — Sat, 25 Feb 2023 08:34:14 +0000

Hacked any thing means big loss of organization? And if our database hack then it will be serious consequences for an organization, including financial loss, damage to reputation, and loss of sensitive information.

MongoDB have big community so I think may be not possible to hack this but it's hack, In this article, we will discuss the very basic way in which a MongoDB database can be hacked, as well as how we can prevent this in simple way.

The Beginning:

I have been using MongoDB in my application. First day I have create MongoDB database on my own server and added some testing data for testing purpose. Next day what I see there is no data available that was added yesterday. Just ignored because I think may be yesterday delete database by me or deleted data for testing purpose so added more testing data to database.

But Again next day again happen same thing NO DATA is available in my database.

The Realization:

I was not sure what exactly was going on. On initial research, I suspect that may be in background by mistake I have started some service and that is running and deleted my data from database so I have tried many thing like installing again MongoDB and starting and killing process of MongoDB, and again added some testing data. Because I think if background process is running it will be killed.

But that was not Solution.

What I can see in my database, The new database named READ_ME_TO_RECOVER_YOUR_DATA is there with this message:

All your data was backed up from your server. You need to email us at EmailName@email to recover your data. If you dont contact us we will reach the General Data Protection Regulation, GDPR,and notify them that you store user data in an open form that is not safe. Under the rules of the law, you face a heavy fine or arrest and your database dump will be deleted from our server forever!

Why this happen and Why hacker do this:

I created the MongoDB server without authentication, and some hackers were able to steal/delete all of your data, and are probably now expecting you to pay some bitcoin to get it back.

The Final Fix:

I have uninstall the MongoDB and again installed with solid authentication.

How to Avoid a Malicious Attack:

Recommendation is to enable authentication for database.

You will find some MongoDB official doc here: https://www.mongodb.com/blog/post/update-how-to-avoid-a-malicious-attack-that-ransoms-your-data

If you like this post please share your thoughts in the comments. Feel free to follow me @slk5611 for more tech content.

One of my friend is also written about PostgreSQL server hack. If you want to learn about it be sure to follow him @jaytailor45 https://dev.to/jaytailor45/the-anatomy-of-a-postgresql-hack-how-it-happened-and-what-we-did-about-it-b9k

Thank you for reading. Happy Codding!

How to get data from two collection in NO SQL Database MongoDB

shivlal kumavat — Fri, 15 Jul 2022 11:52:07 +0000

Like I have two collection first is Employee collection and second is Department collection.

Employee collection having below data:

{
  "_id": "kcXtyaB7jGPw9Ks",
  "name": "Test name",
  "post": "Manager",
  "departmentId": "xQQrzRgi8",
  "dateCreated": "2022-07-12T13:09:16.270Z",
  "dateModified": "2022-07-12T13:09:16.270Z"
},
{
  "_id": "mNkyaB6jGPw7KB",
  "name": "Test2 name",
  "post": "Manager",
  "departmentId": "56sgAeKfx",
  "dateCreated": "2022-07-12T13:09:16.270Z",
  "dateModified": "2022-07-12T13:09:16.270Z"
}

Department collection having data like below:

    {
      "_id": "xQQrzRgi8",
      "departmentName": "Testing department"
    },
    {
      "_id": "56sgAeKfx",
      "departmentName": "HR department"
    }

In response of Employee data we want department name with departmentId like below we want response:

{
    "_id": "kcXtyaB7jGPw9Ks",
    "dateCreated": "2022-07-12T13:09:16.270Z",
    "dateModified": "2022-07-12T13:09:16.270Z",
    "departmentId": "xQQrzRgi8",
    "departmentName": "Testing department",
    "name": "Test name",
    "post": "Manager"
  },
  {
    "_id": "mNkyaB6jGPw7KB",
    "dateCreated": "2022-07-12T13:09:16.270Z",
    "dateModified": "2022-07-12T13:09:16.270Z",
    "departmentId": "56sgAeKfx",
    "departmentName": "HR department",
    "name": "Test2 name",
    "post": "Manager"
  }

For above solution we have to aggregate in MongoDB like below:

Here is Example with Query: https://mongoplayground.net/p/V-SC5pmKQR7

db.Employee.aggregate([
  {
    $lookup: {
      from: "Department",
      localField: "departmentId",
      foreignField: "_id",
      as: "departmentName",
    },
  },
  {
    $set: {
      departmentName: {
        $first: "$departmentName.departmentName"
      },   
    }, 
  }
])

In response of employee data want department name only Instead departmentId Then Query will be like below:

db.Employee.aggregate([
  {
    $lookup: {
      from: "Department",
      localField: "departmentId",
      foreignField: "_id",
      as: "departmentName",
    },
  },
  {
    $set: {
      departmentName: {
        $first: "$departmentName.departmentName"
      },
    },
  },
  {
    $project: {
      departmentId: 0
    },
  },
])

HERE is Query with example: https://mongoplayground.net/p/M4Nn7ud33KL

Happy coding!!!

Why Ivy in angular?

shivlal kumavat — Thu, 31 Mar 2022 11:54:03 +0000

Ivy is the Angular’s rendering engine. By using Ivy we can compile components more independently of each other.

Ivy promises smaller bundle sizes, easy and better debugging, mainly for boost in overall performance.

Ivy introduced in angular version of 8, but now in angular version 13 it's 100% Ivy and No More Support for View Engine

There are two main concept of Ivy.

Tree Shaking
Locality

1. Tree shaking:

Tree shaking is used to removing unused code during the bundling process. we can do this by using tools like Rollup and Uglify.

At the time of build process, tree shaking tools use static analysis and eliminate the unused and unreferenced code.

However, but tree shaking tools also have limitations when the conditional code exists as static analysis depends on references.

2.Locality:

The locality is used to compiling each component independently with its own local information that rebuilds faster by compiling partial changes and not the entire project files because of this increase the process of build.

Conclusion:

Ivy compiler is a most important feature of the Angular development services.

Ivy improves the loading performance and development speed of your application development.

Improve Your Workday with Simple Habits

shivlal kumavat — Mon, 01 Feb 2021 03:51:38 +0000

In this competitive world your workday has to be very good because if the workday is not good then productive will be less and that is not good for your business or job.

To Improve your workday here are some tips that may help you to improve to your day and be productive.

1.Stay Away from Multitasking

Always focus on one task at a time doing this we can do it faster and error free with low risk. You can multitask as well by combining easy tasks.

But most time all task is not easy so if you are going to multitask at a time that is possible you will not able to complete all of the from that and may possible all task will not done with error free.

Most important to avoid multitasking to improve your productivity.

2. Be Disciplined

Disciplined is most important in your workday. Because successful people use their time to further their career instead of wasting time watching you-tube, T.V. or playing online games.

Always follow your schedule what you have created.

3. Always check Email and Messages on Fix time

Because every time checking messages and email boxes will break your focus from work.
Each time this happens it has a larger impact, eventually leading to full on distraction.

And maybe this is also the reason for less productivity.

4. Always take Break

Always take a break when you are doing your work. Like if I’m taking 60 minutes to do a task then I’m taking 10 minutes of break to start another task.

Because if you are taking a break your mind can refresh before conquering
more on my to-do list and can better avoid mid-day burnout.

5. Do Exercise a No-Brainer

Exercise is our biggest productivity. No matter what pocket of time you have, use it to sweat. It makes anyone better.

Because if you are doing exercise then your mind will always refresh, if your mind is fresh the productivity will improve automatically.

6. Keep Track of Regular Tasks

When you will keep track of your regular tasks then you have an idea of how much time it takes you to complete every job. By this, you can start to identify problem areas and where a drop in productivity begins to happen.

When you will do this that time all this information is readily available if you keep tabs on everything you do in the workday.

7. Have an End-of-Workday Routine

At the end of your workday, take a few minutes to get any lingering tasks out of your head and down on paper, and schedule your most important stuff for the next day. Try to truly finish up so you can be completely present when you get home.

Thank you for reading please comment below your idea.

Happy Reading!!!

How to access the previous route in your Angular app

shivlal kumavat — Mon, 25 Jan 2021 04:36:08 +0000

The blog is all about access the previous route in your Angular app. In a simple way this service work like:

it saves the current url, after that, when a NavigationEnd event fires.
it saves that url in a variable previousUrl, to be get in your component.

First create a new service PreviousRouteService. If you're using the Angular CLI, use the command ng generate service previous-route and add in your app.module file.

Your service file will look like below:

import { Injectable } from '@angular/core';
import { Router, NavigationEnd } from '@angular/router';

@Injectable()
export class PreviousRouteService {

  private previousUrl: string;
  private currentUrl: string;

  constructor(private router: Router) {
    this.currentUrl = this.router.url;
    router.events.subscribe(event => {
      if (event instanceof NavigationEnd) {        
        this.previousUrl = this.currentUrl;
        this.currentUrl = event.url;
      };
    });
  }

  public getPreviousUrl() {
    return this.previousUrl;
  }    
}

You can use in your component like below:

To use the previous route url in your component, first importing the service:

import { PreviousRouteService } from '../services/previous-route.service';

Inject it into the constructor like below:

constructor(
  private previousRouteService: PreviousRouteService
) {}

Now you can access the previous url with this.previousRouteService.getPreviousUrl().

ngOnInit() {
  console.log(this.previousRouteService.getPreviousUrl());
}

Thank you for reading if any suggestion please comment below!!!

Happy Coding!!!

5 Most Important Skills for Software Developers

shivlal kumavat — Mon, 18 Jan 2021 02:58:59 +0000

If you belong to the software industry, there are some skills you need to have become a good software developer. It doesn't matter if you are experienced or new in the software industry.

This blog is all about important skills for software developers to grow with time and software industry.

1. Self-development skills :

Social Media is a one of the best up to date sources of the industry news.
For this you have to follow the exprest of the industry on channels like Twitter, LinkedIn where you will get the latest information.

Experiment with personal projects you will learn more if you are trying thing’s yourself. Create an account with Github and take advantage of the free private repositories so you can work on tutorial projects without the fear of having to learn in front of an audience.

Read, listen and watch The digital world is full of media to immerse yourself in, through whatever format suits you best. There are many websites and blogs available you can follow them OR if you like a book you can get the latest publications to learn from.

2. Problem-solving skills :

To Solve the problem you need to be able to identify the cause of the issue and understand it fully.

Research gets the more information about a problem from the other team members, consulting more experienced colleagues and Google search.

Analysis will help you understand problems and effectively develop solutions.

Communication When you are going to apply possible solutions, you have to know how to communicate the problem with others. communication will help you to reduce any confusion and make implementing a solution easier.

Decision-making Will help you to get the easy solution at the time because in industry if you are not taking decisions on time then that is meaningless.

3. Programming languages :

As a software developer you must have command on at least one programming language in depth. When it comes to deciding which programming language you should choose, it depends on your area of interest and in which language you love to solve the problems or you are comfortable with. as well as you have to follow the trends of programming languages because different types of developer roles require different languages.

4. Teamwork skills :

Working with a group of people to achieve a shared goal or outcome in an effective way.

For teamwork you have to listen to other members of the team. Get everyone's ideas on board, not just your own and share the responsibility.

A successful team is one where everyone’s unique skills and strengths help the team achieve a shared goal in the most effective way.

5. Accuracy and Attention on detail when Dealing with People :

In the software industry everyday we are dealing with people to get the details of products and many other things.

For that you have to Accuracy and Attention to detail Focus on being present in your work in order to notice small details and produce high-quality results.

When you're working you have to have strong attention to detail, it's best to close your email and silence or turn off your phone. This will minimize distractions.

Focus on one task at a time to give each project your complete attention.

Conclusions

Thanks for reading and great job on following the guide.
We learned about 5 Most Important Skills for Software Developers.
Please ask any questions that you might have in the comment section below.

Happy Coding.

Introduction to TypeScript

shivlal kumavat — Mon, 11 Jan 2021 03:57:51 +0000

1.Introduction

Typescript is superset of Javascript means TypeScript is a new way to write JavaScript. TypeScript was developed by Microsoft in 2012 for the extensive community of JS developers easy access to a statically typed(strict declaration) language.

2.Install TypeScript

Install TypeScript using Node.js Package Manager (npm) By using the following command in the Terminal Window.

npm install typescript -g //Install as a global module

npm install typescript@latest -g //Install latest if you have an older version

3.Variable types

Compile time type-checking is one of the most important features of TypeScript. It lets us catch errors related to the types of data at compile time. This lesson explains the data types available in TypeScript.

let name: string;
let age: number;
let isActive: boolean;

You can see how we have types attached to all the variables. If we try to put a string value in place of a number type variable, TypeScript will catch it at compile time.

4. Any types

Any type is used when we do not know about the type of value and we want to skip the type-checking on compile time. This is also known as Multiple types because we can assign multiple types of values to one variable.

let myValue: any = 'Hello IT jugadu';  
myValue = true;  // Correct
myValue = 855; // Correct

In the above example, we declared myValue with any type. First we assigned it a string, next a boolean, and finally a number. This is possible because of any type.

5. Null and Undefined type

This is used when we do not know about the value of the variable.
let myValue: string = null;

The variable myValue has been assigned the value of null because, at this point in time, we don’t know what it is going to be. We can also use undefined here.

6.Type assertions

Type assertion allows you to set the variable to any particular type and tell the compiler to handle that variable using that type.

let age: any = 22; 
let studentAge = <number> age; console.log(typeof(studentAge));  // O/P: number

Type Assertion with Object
It might happen most of the time when we are porting over code from JavaScript to TypeScript.
For example we take below code:

var teacher= {};
teacher.name = 'IT jugadu'; // Error: property 'name' does not exist on `{}`
teacher.isMarried = true; // Error: property 'isMarried' does not exist on `{}`

teacher.salary = 18000; // Error: property 'salary' does not exist on `{}`


interface Teacher { 
  name: string;
  isMarried: boolean; 
  salary: number; 
} 
let teacher = <Teacher> { }; 
teacher.name = "IT jugadu"; // Correct
teacher.isMarried = true; // Correct
teacher.salary = 18000; // Correct

7. Arrays

TypeScript supports arrays, similar to JavaScript. There are two ways to declare an array:

With square brackets.

let arrayVar: number[] = [8, 3, 9, 1, 5];

With generic array type, Array<elementType>.

let student: Array<string> = ['Raj', 'Ravi', 'IT jugadu'];

8.Tuples

TypeScript introduced a new data type called Tuple,These are used to store values of multiple types. because sometimes we need to store multiple types of values in one collection. Arrays will not serve in this case.

let myTuple = ['Welcome to IT jugadu', 22, false];

In example, it shows that we can have data items of number,string and boolean types in one collection.

9.Enums

Enums stands for Enumerations. It is used to define the set of named constants Like other language Java and C#, We can define the enums by using the enum keyword.

There are three types of Enums in TypeScript.

Numeric Enums
String Enums
Heterogeneous Enums

Numeric Enums
Numeric enums are number-based enums, which store values as numbers.

enum AsciiValue {  
  w=119, 
  x=120, 
  a=97, 
  z=122
}

String Enums

String enums are the same as numeric enums, except that the enum values are initialized with string values rather than numeric values.

enum City{   
  Surat = "Surat",       
  Mumbai = "Mumbai",       
  Jaipur= "Jaipur"
}

Heterogeneous Enum

These enums contain both string and numeric values.

enum Status { 
  Active = 'ACTIVE', 
  Deactivate = 1, 
  Pending 
}

10.Object

An object is an instance which contains set of key value pairs.

var student= { 
  firstName:"Raj", 
  lastName:"Ravi" 
};
//access the object values 
console.log(student.firstName)
console.log(student.lastName)

11.Union

Two or more data types are combined using the pipe symbol (|) to denote a Union Type.

var myValue:string|number;
myValue = 52
console.log("Here is number :"+ myValue)  
val = "Welcome to IT jugadu"  
console.log("Here is string :"+ myValue)

O/P: Here is number :52 Here is string : Welcome to IT jugadu

12.Parameterized Function with Type

Parameters are values or arguments passed to a function. In TypeScript, the compiler expects a function to receive the exact number and type of arguments as defined in the function signature.

function welcome(mayVal: string, name: string ) { 
  return mayVal + ' ' + name + '!'; 
}

welcome('Welcome to ’,'IT jugadu'); //Correct O/P: "Welcome to IT jugadu!"
We have declared a function welcome which takes two parameters. We added a type of string to both the parameters so that no other value except a string can be passed to them.

13.Return types

Using Typescript we can add type-checking to the return value of a function. By this we can make sure that the return value from a function has an expected type.

function welcome(mayVal: string, name: string ) : string { 
 return mayVal + ' ' + name + '!'; 
}

welcome('Welcome to ’,'IT jugadu'); //Correct O/P: "Welcome to IT jugadu!"

14: Interfaces

The interface defines the syntax that any entity must adhere to. Interfaces define properties, methods, and events, which are the members of the interface. Interfaces contain only the declaration of the members.

interface IStudent {
  firstName:string,
  lastName:string, 
  welcome: ()=>string
}

Use of Interface and Objects

var student:IStudent = { 
   firstName:"Raj",
   lastName:"Ravi", 
   welcome: ():string =>{ return "Welcome to IT jugadu!" } 
}

console.log(“Student details”) 
console.log(student.firstName) // O/P: Raj
console.log(student.lastName)  // O/P: Ravi
console.log(student.welcome())  // O/P: Welcome to IT jugadu!

15.Namespaces

In typescript, namespace is used for logical grouping of functionalities.This includes interfaces, classes, functions and variables to support a single or a group of related functionalities.

16.Models

Sometimes we are getting a number of problems when using the interface. Like interfaces do not keep the default value as well as can’t embed anything coming from the server side. To resolve this issue we are using Models.

17.Generics

In typescript, by using Generics we can create the reusable component. This component works with multiple data types rather than the single data types.

18.Conclusions and resources

Thanks for reading and great job on following the guide, I hope you're now ready to use TypeScript in your projects!

In this TypeScript blog you learned about the fundamentals of typescript.

If you want to stay updated on TypeScript I suggest the following blog.

The official TypeScript blog where you can learn about the new releases and features.

Thanks again for reading and stay tuned!

Happy coding!!!

Add Meta Tags and Title Dynamically for SEO using Angular Component

shivlal kumavat — Fri, 01 Jan 2021 05:16:27 +0000

The blog is all about Meta Tags. In a simple way meta tags are used for search engine optimization to describe the page content. Meta tags always inside the <head> section.

We are going to set the most common three header meta description, title and tag content dynamically.

Import the predefined Meta Service in your component :

import { Meta, Title } from '@angular/platform-browser';

Inject the Service in Constructor :

constructor(private title: Title, private meta: Meta) {}

Add title and meta tag in ngOnInit() using setTitle and updateTag :

ngOnInit()
{ 
  this.title.setTitle('Angular Overview'); 
  this.meta.updateTag({ 
  name:'author',content:'angulartpoint.com'}); 
  this.meta.updateTag(
  {
    name:'keyword',
    content:'angular overview, features'
  }); 

  this.meta.updateTag(
    {
      name:'description',
      content:'It contains overview of angular application'
    }); 
}

Happy coding!!!

How to Lead Your Remote Team to Improve Productivity

shivlal kumavat — Fri, 25 Dec 2020 10:20:21 +0000

Nowadays remote working is a trend. It requires a different set of abilities, resources, and skills.

When your business is running with a remote team, that time not possible things like nonverbal communication cues. You have to individualize your managerial approach even more than normal while your employees contend with parenting from home, caring for loved ones, home internet issues and other things also included.

Here is a list of ideas that will help you to improve productivity with remote teams.

1. Be Flexible with Schedules

When you are given flexibility for working that time you are Boosting employee morale that is very good for your business and also that will reduce tardiness and absenteeism.

Offering flexible work schedules will increase your ability to recruit outstanding employees. You will develop an image as an employer of choice with family-friendly flexible work schedules.

2. Increased staff motivation

You have to always motivate your employees about work and the environment so employees always work happily and you will get more productivity.

3. Focus on Productivity, Not Activity

When your team is working from remote you can’t manage everything like how many hours an employee is working and what they are doing right now when working hours are going on.

So Instead of focusing on activity or hours worked, focus on the Productivity and measure your team accordingly.

4. Provide Resource Your Team

Sometimes you have to start remote work and suddenly that time you have to manage resources for your team.

Like that time you have to provide tools like laptops, software, mobile devices, or even a high-speed internet connection.

5. Use of Technology

When your team is working from remote your work is to keep your team connected. When you are doing email and messages that are not enough for connection nowadays you have to use rocketchat, slack and skype are better suited for collaboration and communication.

6. One To One

Whenever possible, this should be one-on-one, and face-to-face via video. Phone conversations, email, and Slack go only so far. Your team needs to see you, and you need to see them. The good news is that services like Zoom or Google's Team Hangouts make this relatively easy.

Don’t do it every day because some time employees are frustrated but you have to do this in a week. That time don’t discuss the whole meeting about work you have to take care of your employee also so discuss the employee environment.

Thank you for reading please comment your suggestion in the comment box.