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

10 best practices for optimizing Kubernetes on AWS

Optimizing Kubernetes on AWS is less about raw compute and more about surviving Day-2 operations. A standard failure mode occurs when teams scale the control plane while ignoring Amazon VPC IP exhaustion. When the cluster autoscaler triggers, nodes provision but pods fail to schedule due to IP depletion. Effective scaling requires network foresight before compute allocation.

Choosing GPU cloud platforms for developers

For developers building AI applications, training models, or running inference pipelines, the GPU cloud market in 2026 has never offered more choice - or more complexity. Picking the wrong platform means overpaying, dealing with availability problems, or battling infrastructure that slows you down rather than accelerating your work.

How to define your monitoring requirements (before you talk to a vendor)

This is a guest post from Laura Copeland. Key insights from a fireside chat with Chris Yates. Part 1. Choosing the right database monitoring vendor isn’t just a technical decision, it’s a strategic one that affects your teams, your estate, your growth plans, and the culture of your organisation. It’s also a personal one if you’re a DBA. Something as critical as your monitoring system will shape your day‑to‑day work, and, in many cases, how well you sleep at night.

Preparing Web and Mobile Cloud Infrastructure for Massive Advertising Traffic Spikes

When a digital marketing team launches an aggressive display network campaign, they measure success in clicks, impressions, and conversions. However, for IT operations and DevOps teams, that same success manifests as a massive, often unpredictable surge in server requests. A sudden influx of users can be a triumph for brand visibility, but it quickly becomes a nightmare if the underlying web and mobile cloud infrastructure is not equipped to handle the heavy load. Bridging the gap between marketing ambition and technical reality requires robust planning, dynamic resource provisioning, and intelligent system monitoring. Without these elements, a successful ad campaign can accidentally execute a self-inflicted denial of service attack on a company's own platforms. Modern businesses cannot afford the disconnect that often exists between the departments generating traffic and the teams responsible for keeping the lights on. Aligning these two functions ensures that the digital infrastructure is primed and ready long before the first advertisement goes live.

From Rollouts to Results: Unlocking the Value of Feature Management and Experimentation

Recorded at @DevOpsLive In today’s fast-paced software landscape, releasing new features is no longer just about speed - it’s about control, confidence, and measurable impact. Combining Feature Flag Management and Experimentation enables teams to deliver innovation safely, experiment in real time, and understand what truly resonates with users. Whether you’re scaling a platform, launching a new product, or simply looking to innovate faster, FME offers a proven way to ship with confidence and learn continuously from your users.

AI for Everything After Code: Ship Fast, Stay Safe

Recorded at @DevOpsLive Most teams have “done DevOps” and “built a platform,” but still wrestle with the same core problems: platforms that developers dodge, AI that accelerates coding while quietly degrading delivery performance, security and compliance that can’t keep up, cloud bills that keep climbing, and incident response that hasn’t caught up with cloud‑native complexity.