Operations | Monitoring | ITSM | DevOps | Cloud

Coroot's node-agent already collects CPU profiles for any process on the node using eBPF, with zero integration from the application side. For Java, we dynamically inject async-profiler into the JVM to get memory and lock profiles. But Go processes were still a blind spot for non-CPU profiling unless the app exposed a pprof endpoint and the cluster-agent scraped it. We wanted the same zero-config experience for Go heap profiles. This post is about how we got there.

Most teams use Jira to plan work and GitHub to build it. The problem is those two tools don’t talk to each other by default. Developers end up manually copying commit references into tickets, project managers hunt through GitHub to answer basic status questions, and sprint reviews become archaeology expeditions through two disconnected systems. Git Integration for Jira closes that gap.

The role of a Site Reliability Engineer (SRE) is evolving. The focus has shifted from simply working harder during an outage; A new kind of teammate is here to help: the SRE Agent. But what are the key differences when you compare an SRE agent versus a traditional site reliability engineer? This isn’t just a superficial change. It signifies a fundamental alteration in how teams construct and sustain dependable services.

llm-d is an open source solution for managing high-scale, high-performance Large Language Model (LLM) deployments. LLMs are at the heart of generative AI – so when you chat with ChatGPT or Gemini, you’re talking to an LLM. Simple LLM deployments – where an LLM is deployed to a single server – can suffer from latency issues, even with just one user. This can be because of lack of memory-bandwidth on the server, or because of KV cache pressure on system memory.

Single Sign-On is now generally available in Oh Dear, on every plan. Your team signs in with the credentials they already have, and you manage access from one place: your identity provider.

Application security testing tools promise coverage and accuracy, but teams often struggle just to get started. One of the biggest friction points in dynamic application security testing is configuring authentication correctly so a scanner can even access a target application, let alone API endpoints that power the functionality. Whether it’s API keys, bearer tokens, or custom auth flows, setting up authentication for scans frequently requires trial-and-error and engineering support.

Kubernetes is an open-source container orchestration engine that is used to automate containerized application deployment, scaling, and administration. It is an open-source management platform that can be used to manage containerized workloads and services, as well as declarative configuration and automation. Kubernetes is a framework for running distributed systems in a resilient manner. It handles scaling and failover for your application and provides deployment patterns and other features.

Since COVID hit in 2020, video conferencing has become a booming industry, allowing individuals, businesxses, and enterprises to host video calls, webinars, classes, and more. In a similar manner to cloud storage and local storage options, there are many video calling platforms available with different features available depending on personal or business needs. For this reason, we will cover the best video conferencing tools and apps available by covering.

Argo Rollouts exposes Prometheus metrics on port 8090 — but the docs lie about which labels exist. Here's how to scrape them into Last9, build a canary dashboard, and use Last9 as an automated AnalysisTemplate gate, including the auth and base64 gotchas. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

Enterprise conversations today are dominated by one phrase: Agentic AI. Across boardrooms and innovation labs, organizations are experimenting with copilots, autonomous agents, and AI bots capable of resolving tickets, recommending actions, and orchestrating complex processes. The promise is real — AI that doesn't just generate insights, but takes meaningful action. Here's the uncomfortable truth: most enterprises are architecturally unprepared for the agentic future they're trying to build.