Operations | Monitoring | ITSM | DevOps | Cloud

Major Update to ODBC Drivers: Expanded Compatibility, New Authentication Options, and Enhanced Data Type Support

We are excited to announce a significant update to our ODBC Drivers product line. This release delivers broader compatibility across modern data platforms, improved integration with third-party tools, and extended support for advanced data types and authentication methods.

Beyond AI Vibes: Deterministic Foundations for Agentic Coding

Every week there is another model drop, another agent framework, and another workflow tweak you are supposed to evaluate. Meanwhile, the largest companies, the ones operating at the highest scale and leaning hardest on AI, are also the ones making headlines for reliability strain: capacity limits, outages, and services that buckle under load.

MCP Apps: On Call Compensation Report and Service Dependency Graph

This April, PagerDuty's MCP server expands with powerful new capabilities across Analytics & Reporting and Business Services. Teams can now surface aggregate incident data, service metrics, and team metrics — giving operators instant access to the operational insights that matter most. On the Business Services side, the release adds business service dependencies, subscriber management, impacted services analysis, and priority mapping. Rounding out the release are two new MCP Apps (on our experimental branch): Service Dependency graph. and an On-call Compensation report.

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.

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 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.

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.

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.

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.