Operations | Monitoring | ITSM | DevOps | Cloud

Our first turnkey dashboard gives you a real-time pulse on engineering health. Every chart is interactive: click any bar or data point to drill down into the underlying PRs, commits, or incidents. And we’re just getting started; more dashboards are already on the way!

Whether it's ensuring a new service is fully equipped with security scanning, logging, and monitoring from the start, enforcing production readiness checks during deployment, or providing temporary credentials for a production database, Workflows directly support Engineering Excellence Initiatives around modernization and standardization.

Today we’re thrilled to announce the launch of Entity Relationships, a powerful new capability that gives you more flexibility and control over the data model in your IDP. By allowing you to create custom relationships between entities in your catalog, you can model your internal developer portal to accurately reflect your own organization’s taxonomy, letting you better answer deep questions about your environments, releases, packages, and beyond.

Today marks an exciting milestone not just for Cortex, but for every organization looking to foster a culture of engineering excellence. Knowing who owns what is one of the hardest and most important challenges for engineering teams. Without clear ownership, incidents take longer to resolve, migrations stall, and enforcing standards becomes nearly impossible.

With over 50 built-in integrations, Cortex customers have an always-up-to-date, single interface for their engineering priorities, tools, and tasks. But large organizations have a lot of tools. And if you're running internally hosted tools, or for policy or security reasons would prefer to keep your access tokens private, that used to limit what was possible in your internal developer. Not anymore.

The internal DevOps team at JFrog needed to provision cloud resources, create environments, and manage infrastructure for our developers. Unfortunately, it involved wasting a significant amount of time on repetitive tasks, that was slowing down the pace of innovation and taking away our developers’ focus from building new features and industry leading products.

As artificial intelligence (AI) rapidly evolves from a research novelty to an enterprise essential, one often-overlooked component is under intense pressure: the network. AI’s hunger for data and real-time performance is forcing enterprises, cloud providers, and data center operators to rethink how they interconnect data centers. Enter Managed Optical Fiber Networks (MOFN) — a modern solution for modern DCI challenges.

We’ve been thinking a lot about synthesis lately. Netdata already samples every metric every second at the edge. Engineers told us the remaining pain point was synthesis, the ability to pull hours or days or months of high‑resolution time‑series into a concise explanation they could hand to a teammate (or use themselves to debug faster).