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

OTel Updates: OpenTelemetry Proposes Changes to Stability, Releases, and Semantic Conventions

Over the past year, the Governance Committee ran user interviews and surveys with organizations deploying OpenTelemetry at scale. A few patterns came up consistently: Stability levels aren't always obvious. When you install an OTel distribution, some components might be experimental or alpha without clear markers. This makes it harder to evaluate what's production-ready. Instrumentation libraries sometimes wait on semantic conventions.

Why Cloud-Based Startups Dominate

If you've been following developments in the business world, you will have noticed that cloud-based startups are dominating. But why is this? Why is almost every new unicorn a business that's in the cloud that appears on people's iPhones? Why isn't it something in the physical world? That's the topic we're going to discuss in this article. We're going to explore why cloud-based startups are the way to go in 2025 and 2026 and how you can leverage them to your advantage.

Expert Insight: Why Carrier Neutral Data Centres Give UK Businesses Greater Network Control

The demands placed on digital infrastructure have changed. As businesses expand across regions, adopt cloud platforms, and face stricter compliance requirements, networks must evolve just as fast as the workloads they support. The rise of AI, distributed teams, and latency-sensitive applications has made agility a central requirement for performance and resilience. Without it, costs rise, migrations slow, and continuity becomes harder to guarantee.

How to Build Microservices With ASP.NET Core and EF Core

When a monolithic app starts to hit its limits, microservices are often the next step forward. They let you scale only what’s under pressure, keep changes local, and give teams the freedom to deploy on their own schedule. It’s no wonder the market for microservices is growing fast, from $1.93 billion in 2024 to a projected $11.36 billion by 2033. So how do you build microservices? In.NET, the process is surprisingly straightforward.

Capture and Use Network Response Data in AI Powered Testing

Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.

Gamifying FinOps (And CloudZero) For Better Adoption

In our increasingly online world, managing cloud, AI, and other tech spend has shifted from a good idea to an absolute necessity. But even when cost management is a priority, how do you get busy development teams and engineers actively engaged in the new practices? New initiatives are often viewed as more work on the team’s plate, which is an understandable deterrent to adoption. That leaves FinOps proponents struggling to get others on board.

The AI Cost Crisis: 'AI Cost Sprawl' Is Crashing Your Innovation (AI Cost Sprawl Explained + How To Fix It)

AI should speed up innovation, not inflate your cloud bill. But today, the biggest GenAI challenge for SaaS teams isn’t model quality; it’s cost. And increasingly, that cost comes from AI cost sprawl. That’s not because anyone is doing something wrong, but because AI operates differently from the cloud services we’ve all spent a decade learning how to manage.

Accelerating Our Mission to Bring AI to Everything After Code

Since launching Harness in 2017, we’ve been on a mission to unlock faster innovation by removing the bottlenecks that slow software engineering teams down. From day one, we believed that the biggest obstacles in engineering weren’t in writing code — they were in everything that followed.

Why cloud fragmentation is slowing teams down and how unified platforms solve it

Engineering teams today manage infrastructure spread across multiple clouds and tools. Whether this happened through gradual accumulation or deliberate strategy, the result is the same: complexity that slows teams down. Managing each cloud separately with different tools and workflows is a bottleneck to delivery speed, operational efficiency, and platform reliability.

Cutting tech debt at the source: how cloud application platforms put IT back on offense

For most Central IT leaders, tech debt isn't a surprise. It's the silent tax on every roadmap, every quarterly plan, every conversation about why things take so long. Modern cloud application platforms (true PaaS environments) give IT leaders a path to unwind years of accumulated complexity while simultaneously accelerating innovation. You no longer have to tolerate the tax.