Operations | Monitoring | ITSM | DevOps | Cloud

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.

Every team should be A/B testing

Technical teams want to know the newest, most cutting-edge tools they can implement to give themselves a competitive advantage, whether it’s the latest developer framework or modern CI/CD practices that boost velocity. But there’s one tool from all the way back in the 1920s that can improve any organization, no matter its scale: the randomized, controlled trial—or simply put, experiments.

Network Instability: What It Is, What Causes It, and How to Fix It

Network outages are easy. Something goes down, alarms fire, you fix it, life moves on. Everyone understands a full outage. It's clean, binary, and at least somewhat predictable. Network instability is the opposite of all that. Nothing fully breaks. Nothing fully works. The ping responds. The connection shows active. And yet users are complaining about choppy calls, sluggish apps, and sessions dropping for no apparent reason. You run a speed test, and it's fine.

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.

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.

Your AI Agents Are Autonomous. But Are They Accountable?

Why accountability, not capability, is the real bottleneck for enterprise agentic AI, and what security leaders need to do about it before regulators force the issue. Every enterprise is building AI agents. Marketing has one summarizing campaign performance. Engineering has one triaging incidents. Customer support has one resolving tickets. Finance has one processing invoices.

How to Source the Right Solutions for Your Business

When it comes to being in business, you always need to make sure that you're making the right decisions that facilitate growth and success. A huge part of this will mean creating a strong supply chain and finding the right vendors and solutions to put in place. Let's take a look at how you can approach this.

6 Ways Ops Teams Can Align AI With Business Impact

AI adoption is at an all-time high, withover 70 percent of organizations are using AI in at least one core function. Despite the high rate of AI adoption, many operational teams continue to have difficulty answering the question 'Is AI actually benefiting our business?' The challenge lies in the gap between AI systems and actual business results. Bridging the gap requires aligning operational AI with revenues, customers, and growth metrics. Here are actionable steps to transform AI from a technical tool into a measurable business contributor.

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.