DEV Community: Silver The Hedgehog

Willowfield Organization - Intro

Silver The Hedgehog — Mon, 31 Jul 2023 20:05:57 +0000

Welcome to our team we have made this team for who will follow us in the future, So I (@david456) was thing about how can I moderate an organization. so, I had an invitation to join an unknown team but I disagree about the invitation

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Welcome to Willowfield Organization

Welcome to Discovery Team

Silver The Hedgehog — Mon, 31 Jul 2023 19:59:22 +0000

Welcome to our team, We are happy to announce all the resources that you like will be in DEV Community. as soon as we finish setting up our new website for our new followers. So, We will use DEV as an intro to our organization to publish new post on our organization. Please feel free to follow

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Welcome to Discovery Team. This is the largest organization in dev.to

Listing #2 on DEV Community

Silver The Hedgehog — Sat, 29 Jul 2023 05:21:15 +0000

🚀Taking Observability to the Next Level: Explore New Relic's Free Tier for Developers
What’s included in the New Relic free tier?

One full platform users w/ access to all 30+ platform capabilities
100 GB data ingest
Default logs obfuscation
Unlimited basic users
Unlimited ping monitor and more!

Get started for free: https://newrelic.com/pricing/free-tier?utm_source=devto&utm_medium=community&utm_campaign=global-ever-green-new-relic-free-tier

https://dev.to/listings/misc

Listing #1 on DEV Community

Silver The Hedgehog — Sat, 29 Jul 2023 05:17:40 +0000

💰 2400 tech jobs on DevITjobs.us (with fully remote and with Visa Sponsorship filters ⬅️

Why you should check it out:

First job board with salary brackets 💰
Detailed methodology and tech stack breakdown ⚙️
Remote and Visa sponsorship filters

Check them out on DevITjobs.us ⬅️

Check out and follow the creator of the listing

https://dev.to/listings/misc

Episode 3 | Python Comes to the Rescue

Silver The Hedgehog — Fri, 28 Jul 2023 04:00:29 +0000

Python is the best programming language for aspiring machine learning aficionados due to its user-friendly syntax and extensive libraries. If you aren't a programming expert or a math genius, don't worry; Python's simplicity lets you to focus on studying machine learning ideas and developing your talents.

Python's exquisite readability allows for the clear and straightforward expression of complicated ideas. Python code is clear and simple to understand, whether it's constructing a neural network or managing data preparation.

The actual magic happens with libraries like NumPy, Pandas, and Matplotlib, which strengthen Python's machine learning capabilities. Let us recognize the importance of these libraries in streamlining machine learning operations.

NumPy, which stands for "Numerical Python," is the foundation of numerical computation in Python. NumPy simplifies numerical tasks by supporting multidimensional arrays and mathematical functions.
Pandas excel in data manipulation and analysis, with data structures like as DataFrames allowing for easy data management. Pandas allows you to load, clean, and preprocess data with just a few lines of code.
Matplotlib is a robust plotting package that allows you to build informative visuals that highlight data insights and model performance. Its user-friendly interface keeps you from getting bogged down in the complexities of graph plotting.

Episode 2 | Understanding the Mathematics Myth

Silver The Hedgehog — Fri, 28 Jul 2023 03:57:32 +0000

One of the most common misunderstandings about machine learning is that it needs a sophisticated understanding of mathematics. While certain algorithms are based on mathematical ideas, newcomers should not be intimidated. Consider machine learning to be like driving a vehicle; you don't have to be an automotive engineer to enjoy the experience.

Many of the complexities have been abstracted away by machine learning libraries and frameworks such as TensorFlow and Scikit-Learn. As a novice, your primary focus will be on dealing with these high-level tools, which allow you to apply machine learning approaches without having to deal with complex arithmetic problems.

The fact is that machine learning aficionados may accomplish amazing outcomes without much mathematical knowledge. Python's ease of use and machine learning frameworks have democratized AI, allowing students to harness its potential without being intimidated by complicated calculations.

Episode 1 | Embracing Machine Learning: Overcoming Beginners' Math Fear

Silver The Hedgehog — Fri, 28 Jul 2023 03:53:58 +0000

As I told you in Fosstodon, this post will be in my profile and its will be in the end of the post

Are you interested in artificial intelligence and machine learning but put off by the prospect of delving into complicated mathematics? You're not by yourself! Many potential machine learning aficionados are scared by the field's apparent math-heavy nature. But I'm here to tell you that you don't have to be a math genius to follow your AI aspirations.

In this essay, we'll discuss the math phobia that often prevents novices from embarking on their machine learning adventure. We'll look at how Python tools and frameworks help minimize the math load, making learning more accessible and entertaining. So, let's go on this adventure together and erase those concerns!

Future Sonic (The Hedgehog) (@teamshadow@fosstodon.org) - Fosstodon

30 Posts, 8 Following, 3 Followers · Hey there, you futuristic crew. I'm Sonic, Sonic the Hedgehog, and I've come from the future to create this pro-fil-e. I'm sorry if I pronounced it wrong, but I've come to make this profile because, well, back in my timeline, this site doesn't actually exist. It was destroyed many years ago.

fosstodon.org

What exactly is Uptrace?

Silver The Hedgehog — Fri, 28 Jul 2023 01:02:20 +0000

Uptrace is a free and open source APM tool that provides distributed tracing, metrics, and logs. It may be used to monitor apps and set up automated alerts to get notifications by email, Slack, Telegram, and other channels.

Uptrace collects data via OpenTelelemetry and stores it in the ClickHouse database. Uptrace additionally necessitates the use of a PostgreSQL database in order to maintain metadata such as metric names and warnings.

To execute the backend with a single command, install the Uptrace binary or use the Docker example.

After initiating Uptrace, you will be given a data source name (DSN) that provides Uptrace connection information.

The data may then be exported from Collector to Uptrace using the OTLP exporter and the DSN in headers:

exporters:
  otlp/uptrace:
    endpoint: localhost:14317
    tls: { insecure: true }
    headers: { 'uptrace-dsn': 'http://project1_secret_token@localhost:14317/1' }

Metrics for the host

Silver The Hedgehog — Fri, 28 Jul 2023 01:00:20 +0000

The hostmetricsreceiver plugin for OpenTelemetry Collector collects numerous metrics about the host machine, such as CPU, RAM, disc data, and other system-level metrics.

However, OpenTelemetry lacks built-in storage and processing tools for the acquired data. Instead, you may export the data to your preferred OpenTelemetry backend, such as Prometheus or Uptrace.

To begin collecting host metrics, install Otel Collector on each machine to be monitored and add the following lines to the Collector configuration:

receivers:
  hostmetrics:
    collection_interval: 10s
    scrapers:
      # CPU utilization metrics
      cpu:
      # Disk I/O metrics
      disk:
      # File System utilization metrics
      filesystem:
      # CPU load metrics
      load:
      # Memory utilization metrics
      memory:
      # Network interface I/O metrics & TCP connection metrics
      network:
      # Paging/Swap space utilization and I/O metrics
      paging:

For further information, see the OpenTelemetry Collector host metrics documentation.

Collector of OpenTelemetry

Silver The Hedgehog — Fri, 28 Jul 2023 00:57:55 +0000

The OpenTelemetry Collector bridges the gap between instrumented apps and multiple backends or observability platforms.

OpenTelemetry Collector may also function as an agent, collecting telemetry data from systems to be monitored and sending it to tracing tools using the OpenTelemetry protocol.

Collector, for example, may monitor Redis by running the INFO command on a regular basis to gather telemetry data and deliver it to your observability pipeline for analysis and monitoring.

What exactly is OpenTelemetry?

Silver The Hedgehog — Fri, 28 Jul 2023 00:56:13 +0000

Cloud Native Computing Foundation hosts OpenTelemetry, an open-source observability framework. It is the result of the amalgamation of the OpenCensus and OpenTracing initiatives.

OpenTelemetry standardizes the collection and transmission of metrics, traces, and logs from diverse software components in a distributed system.

Because OpenTelemetry is vendor-independent and supports many programming languages, it is suited for a wide range of applications and settings.

OpenTelemetry and Uptrace are used to monitor CPU/RAM/disk metrics.

Silver The Hedgehog — Fri, 28 Jul 2023 00:54:35 +0000

OpenTeleletry Collector is a free and open source data gathering pipeline that lets you monitor CPU, RAM, disc, network, and other metrics.

Collector does not have built-in storage or analysis capabilities, but you can export data to Uptrace and ClickHouse, which may be used in place of Grafana and Prometheus.

When analyzing millions of timeseries, ClickHouse outperforms Prometheus in terms of on-disk data size and query speed.