The Fallacy of 'Always Use a Headless CMS': When Traditional Wins

The Fallacy of 'Always Use a Headless CMS': When Traditional Wins

The Allure of Headless CMS: A Critical Look In the ever-evolving landscape of content management systems (CMS), the debate between headless CMS and traditional CMS has been a hot topic. While headless CMS has gained significant traction for its flexibility and scalability, it’s crucial to acknowledge that it’s not a one-size-fits-all solution. Here, we’ll delve into the scenarios where traditional CMS might be the better choice, and why the mantra of “always use a headless CMS” can be misleading....

December 31, 2024 · 4 min · 724 words · Maxim Zhirnov
Building an Event Management System with Apache Kafka Streams

Building an Event Management System with Apache Kafka Streams

Introduction to Event-Driven Architecture and Apache Kafka In the world of software development, handling real-time data and events is akin to trying to drink from a firehose – it’s a lot to handle, but with the right tools, it can be incredibly powerful. One of the most popular and robust tools for managing event streams is Apache Kafka. In this article, we’ll dive into the world of event-driven architecture and how you can use Apache Kafka Streams to build a scalable and efficient event management system....

December 30, 2024 · 4 min · 746 words · Maxim Zhirnov
The Case Against Always Using Agile Story Points

The Case Against Always Using Agile Story Points

The Story Point Conundrum: Why Agile’s Favorite Metric Might Not Be Yours In the world of Agile software development, story points have become a staple for estimating the effort required to complete tasks. However, like any tool, they are not without their flaws. In this article, we’ll delve into the criticisms of story points, explore why they might not be the silver bullet they’re often made out to be, and discuss some alternative approaches that could make your development process more efficient and enjoyable....

December 30, 2024 · 5 min · 876 words · Maxim Zhirnov
Implementing Metrics and Alerting in Go Applications with Prometheus

Implementing Metrics and Alerting in Go Applications with Prometheus

Introduction to Prometheus Before we dive into the nitty-gritty of implementing metrics and alerting in Go applications using Prometheus, let’s take a quick look at what Prometheus is and why it’s so popular. Prometheus is an open-source systems monitoring and alerting toolkit that was originally built at SoundCloud. It has since become a cornerstone in the monitoring landscape, especially within the Cloud Native Computing Foundation[2]. Prometheus collects and stores metrics as time series data, which includes the metric value along with a timestamp and optional key-value pairs known as labels....

December 29, 2024 · 5 min · 888 words · Maxim Zhirnov
Building a Distributed Task Management System in Go with Apache ZooKeeper

Building a Distributed Task Management System in Go with Apache ZooKeeper

Introduction to Distributed Task Management Managing tasks in a distributed system can be a daunting task, much like trying to herd cats while blindfolded. However, with the right tools and a bit of magic, you can tame this beast and make your system run smoothly. One such tool is Apache ZooKeeper, a coordination service that helps in managing and synchronizing tasks across a distributed environment. What is Apache ZooKeeper? Apache ZooKeeper is an open-source coordination and synchronization service originally developed by Yahoo and now maintained by the Apache Software Foundation....

December 28, 2024 · 6 min · 1109 words · Maxim Zhirnov