Building an Application Performance Analysis System with OpenTelemetry

Building an Application Performance Analysis System with OpenTelemetry

Introduction to OpenTelemetry In the vast and often chaotic world of software development, understanding how your application performs is crucial. This is where OpenTelemetry steps in, like a superhero saving the day with its cape of observability. OpenTelemetry is an open-source framework designed to provide a unified way to collect, generate, and export telemetry data, including metrics, logs, and traces. Let’s dive into how you can harness its power to build a robust application performance analysis system....

October 21, 2024 · 5 min · 883 words · Maxim Zhirnov
Apache Spark vs Hadoop: The Ultimate Showdown in Big Data Processing

Apache Spark vs Hadoop: The Ultimate Showdown in Big Data Processing

When it comes to the world of big data, two names often come to mind: Apache Hadoop and Apache Spark. These giants in the field of distributed computing have been the go-to solutions for handling massive datasets, but they are as different as night and day. In this article, we’ll delve into the nitty-gritty of each, comparing their architectures, use cases, and the unique benefits they bring to the table....

October 21, 2024 · 5 min · 976 words · Maxim Zhirnov
The Benefits of Not Following Agile Methodologies Strictly

The Benefits of Not Following Agile Methodologies Strictly

The Agile Conundrum: Why Strict Adherence Might Not Be the Best Approach In the world of software development, Agile methodologies have become the buzzwords of the decade. Everyone from startups to giant corporations is jumping on the Agile bandwagon, and for good reason – it promises flexibility, rapid delivery, and customer satisfaction. However, in the zeal to adopt Agile, many teams forget that one size does not fit all. Here’s why not following Agile methodologies strictly can be a blessing in disguise....

October 21, 2024 · 4 min · 757 words · Maxim Zhirnov
Implementing Federated Learning in Machine Learning Systems

Implementing Federated Learning in Machine Learning Systems

What is Federated Learning? In the world of machine learning, the traditional approach to training AI models involves centralizing vast amounts of data in one location. However, this method comes with its own set of challenges, particularly when it comes to data privacy and security. This is where federated learning steps in, offering a decentralized and privacy-preserving way to train AI models. Federated learning, or FL, is an emerging approach that allows multiple devices or organizations to collaboratively train a shared machine learning model without sharing their local data....

October 20, 2024 · 6 min · 1158 words · Maxim Zhirnov
Developing and Deploying Serverless Applications with AWS SAM

Developing and Deploying Serverless Applications with AWS SAM

Introduction to AWS SAM In the ever-evolving landscape of software development, serverless architecture has become a game-changer, allowing developers to focus on writing code without worrying about the underlying infrastructure. One of the most powerful tools in this domain is the AWS Serverless Application Model (AWS SAM). In this article, we’ll delve into the world of AWS SAM, exploring how it simplifies the development and deployment of serverless applications. What is AWS SAM?...

October 20, 2024 · 4 min · 851 words · Maxim Zhirnov