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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Cost, competition and choice: reinvigorating the cloud market for British business

The long-awaited cloud services market investigation from the Competition and Markets Authority (CMA) has been published and is an important milestone in the evolution of the UK’s digital infrastructure as a whole. For those unaware of the findings, the report was primarily designed to evaluate whether any features of the UK cloud market were impacting competition because of concerns that a lack of competition was pushing up costs and reduced quality of service.

Multi-Region SD-WAN: Why Megaport SDCI is the Right Choice

Managing SD-WAN at scale? Multi-region setups streamline operations, cut down tunnel overload, and improve network efficiency with a structured backbone. In centralized SD-WAN solutions, managing traffic flows quickly becomes a challenge. Every change to centralized policies not only takes time but also carries the risk of errors that can impact the entire network – definitely not something to tackle on a Friday afternoon!

Deploying Prometheus with Docker Compose: A Step-by-Step Guide

Prometheus is one of the most popular open-source monitoring and alerting tools. Setting up Prometheus with Docker Compose can make your monitoring stack easier to deploy and manage if you're running containerized applications. This guide will walk you through everything you need to get Prometheus up and running with Docker Compose, from installation to configuration and setting up basic alerts.

How to Build Observability into Chaos Engineering

If you've ever deployed a distributed system at scale, you know things break—often in ways you never expected. That’s where Chaos Engineering comes in. But running chaos experiments without robust observability is like debugging blindfolded. This guide will walk you through how observability empowers Chaos Engineering, ensuring that your experiments yield meaningful insights instead of just causing chaos for chaos’ sake.

How to Implement OpenTelemetry in Next.js

OpenTelemetry is an open-source observability framework designed to instrument, generate, collect, and export telemetry data, including traces, metrics, and logs. It is vendor-agnostic, allowing developers to send data to multiple backend services like Last9, Prometheus, Datadog, or Jaeger without vendor lock-in. For Next.js applications, OpenTelemetry is particularly useful due to the framework’s hybrid rendering approach.

OpenTelemetry Visualization Setup: A Developer's Guide

If you've ever tried to set up OpenTelemetry visualization, you know it can be a bit overwhelming. But don't worry—in this guide, we'll break it all down step by step. Whether you're just getting started or looking to fine-tune your existing setup, this walkthrough will help you get the most out of your telemetry data.

How to Use OpenSearch with Python for Search and Analytics

If you're working with search and analytics, you’ve probably heard about OpenSearch—the open-source alternative to Elasticsearch. OpenSearch is a powerful tool, whether you're building a search engine, running log analytics, or implementing full-text search in your applications. And the best part? You can integrate it easily with Python.

What Is Cloud Forecasting And How To Do It Right

One of the cloud’s greatest advancements is its ability to scale resources like vCPU and memory based on demand. However, this auto-scaling can also lead to unexpected cost fluctuations — sometimes subtle, sometimes dramatic — especially with new or unpredictable workloads. That’s why cloud forecasting is essential. It helps you stay ahead of unpredictable costs by aligning your spending with business goals. How? We’ll break down how cloud cost forecasting works.

Software delivery metrics for platform teams

For platform teams, success means empowering developers with efficient, reliable tools and workflows that accelerate software delivery. As organizations scale, platform engineering teams must balance developer autonomy with standardization while providing infrastructure that supports rapid, reliable software delivery. In today’s complex development environments, platform teams are crucial for maintaining productivity at scale.

CI/CD requirements for generative AI

CI/CD for generative AI applications presents unique challenges in model deployment, testing, and monitoring. Unlike traditional software applications, generative AI systems involve large model artifacts, complex dependencies, and specialized hardware requirements, making a sophisticated CI/CD pipeline essential for reliable delivery. As organizations embrace generative AI technologies, the need for specialized CI/CD solutions becomes critical.