Operations | Monitoring | ITSM | DevOps | Cloud

The regression nobody catches passes a busy review and ships. An off-by-one, a change that reads as sensible and quietly breaks something, gets a nod from a tired reviewer and lands in production, where it erodes trust one small defect at a time. You can have an AI code reviewer running on your own repository in the time it takes to read this page. Get started without having to book a demo or contact sales.

The "C" word is a controversial subject in the US, but we have to talk about "context", and what it means to an AI Agent. For starters, agents can only act on what's in their context window. Everything outside of it is a guess. In application code that limit is usually an annoyance.

Komodor spent years building an AI SRE platform before the category had a name. With the launch of the Komodor Agentic Operations Platform, it’s opening that engine up so enterprises can build, run, govern and optimize their own agents in production. Following the launch, co-founder and CEO Ben Ofiri sat down to talk about why now is the right time for agentic operations, what breaks between prototype and production, and where operations will head next.

Observability has become a central part of modern IT operations and for good reason. Metrics, logs and traces give technical teams detailed evidence about how applications, infrastructure and services are behaving. Such evidence helps them investigate performance degradation, identify abnormal behavior and understand what changed around the time an issue occurred.

Most organizations already have policy documents, troubleshooting guides, knowledge articles, resolved tickets, runbooks, and internal wikis. They're not starting at zero, but despite that investment, employees continue to open tickets for questions the organization has already answered. The problem is not always a lack of knowledge. More often, employees cannot find the right information quickly enough to trust self-service as their first option.

The first PostgreSQL post ran on a laptop: a demo app, a Docker container, and the proxymock CLI. That is the fastest way to see the idea. It is also not where your database problems live. Your real query mix lives in the cluster, where a Java service with a connection pool, an ORM and a schema migration tool sends the statements nobody wrote by hand. This post deploys an open source banking app to Kubernetes and records the queries one of its services sends to PostgreSQL.

Apache Spark monitoring guide: what the Spark UI shows, how to keep it after a job ends, finding skew and spill, Prometheus metrics, and alerts. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

SharePoint and OneDrive pay-as-you-go billing (MC1330893, MC1477185) and the end of the OneDrive allowance above 5 TB (MC1465765): who is affected.