Operations | Monitoring | ITSM | DevOps | Cloud

Last week’s KubeCon Atlanta made one thing abundantly clear, Kubernetes is quickly becoming the de facto platform for AI workloads – with the event lineup chock full of talks, workshops, and even co-located events dedicated to AI, machine learning and running data on Kubernetes natively – with approximately 50 (!) sessions in total focused on AI, ML, LLM, and GenAI topics.. What was until now mostly PoCs and aspirational is now truly delivering in production.

Elasticsearch has long been the backbone of security analytics for organizations that need fast search, flexible dashboards, and scalable visibility across massive datasets. It powers everything from threat hunting to compliance reporting and real-time investigation. But anyone who has operated Elasticsearch at scale also knows a quiet truth: Elasticsearch is only as strong as the data you feed it. And getting clean, consistent, usable telemetry into Elastic is often the hardest part.

How to Detect, Alert, and Resolve Memory Issues Before They Cause Downtime When applications scale on Heroku, memory-related issues are among the most common (and most frustrating... -_- ) sources of instability. Two of the most notorious culprits are the R14 (Memory Quota Exceeded) and R15 (Memory Quota Hard Limit) errors.

Incidents don’t wait. They hit production, disrupt users, and pull teams into long recovery cycles. And a well-structured incident response team helps you move fast, limit damage, and restore services without chaos. In this blog, we’ll explain what an incident response team is, its key functions, team composition, and different types of teams. Let’s get started!

In our latest Redgate Flyway Enterprise release, you can store a snapshot directly in the target database, making drift detection and rollback strategies easier and more reliable whether you’re using state-based or migrations-based deployments.

You can instrument Jenkins with OpenTelemetry using the official plugin and an OpenTelemetry Collector, then send the data to a backend like Last9 to understand where pipeline latency and failures actually originate. Jenkins provides job status and console logs, but it doesn't show how time is distributed across stages, agents, plugins, and external systems. OpenTelemetry fills that gap by emitting traces, metrics, and logs in a standard format that any OTLP-compatible backend can process.

Eliminate non-coding toil with Qovery’s AI DevOps Agent. Discover how shifting from static automation to specialized DevOps AI agents optimizes FinOps, security, and infrastructure management.