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

Autonomous AI for Cloud-Native Cost Optimization: Balancing FinOps and Performance SLAs

Platform Engineering leaders are caught between two competing imperatives. You’re under pressure to flatten cloud spend but your team is still provisioning defensively because nobody wants to be the person who causes a production incident. You try to optimize, but six months later, when someone pulls a report, nothing has changed.

How to set up rolling deployments with CircleCI

A rolling deployment updates running application instances in batches, replacing old instances with new ones while the application keeps serving traffic. The concept applies to any system that can run multiple instances of an application, but Kubernetes has it built in as the default deployment strategy. Kubernetes terminates an old pod only after its replacement passes the configured readiness check, so no requests land on an unready instance.

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.

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.

In the Age of AI, Taste Isn't About Aesthetics

AI can generate a UI in seconds. So what do designers actually bring to the table? Marcela, Principal Product Designer at Rootly and former Founding Designer at Ramp, has spent 20 years in design. Her answer: taste isn't about aesthetics or crafting pleasant interactions. It's about asking the uncomfortable questions, and choosing the right problem, not the easiest one.

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.