Operations | Monitoring | ITSM | DevOps | Cloud

Apache Kafka partition count isn't just a number—it defines parallelism, ordering, and operational complexity. Learn the formula to balance throughput requirements with maintenance costs, avoid common anti-patterns, and find your 'Goldilocks' number for production-ready performance.

Self-service infrastructure replaces ticket queues with controlled, automated workflows so developers can get what they need safely and on demand. Policy-as-code, standardized templates, and an Internal Developer Portal (IDP) provide guardrails that maintain security, compliance, and cost control. You can demonstrate ROI in 90 days by starting with a single golden path and measuring adoption, speed, and policy outcomes. If platform teams are buried in tickets, they are not operating a control plane.

Your developers are buried under tickets for environments, pipelines, and infra tweaks, while a small platform team tries to keep up. That is not developer self-service. That is managed frustration. If 200 developers depend on five platform engineers for every change, you do not have a platform; you have a bottleneck. Velocity drops, burnout rises, and shadow tooling appears. Developer self-service fixes this, but only when it is treated as a product, not a portal skin.

Over the past few months, we’ve been making the Kentik platform easier to use and more actionable, with AI increasingly at the center of how teams interact with it. AI Advisor sits near the middle of a lot of that progress, but this is not only an AI story.

CTOs, IT Directors, and Application Heads managing hybrid and multi-cloud enterprise environments.

The Atlassian Rovo Model Context Protocol MCP Server now supports Bitbucket Cloud. AI clients like Claude, ChatGPT, Cursor, and VS Code can now browse repositories, create commits, open pull requests, and check pipeline results, all through the same secure MCP connection that already works with Jira and Confluence.

Our Q1 momentum has been focused on a simple goal: making InfluxDB easier to operate, easier to scale, and faster to put to work. Across Telegraf, InfluxDB 3, and our managed offerings, these updates reduce friction in how teams collect, process, and scale time series workloads.

Announcing Progress WhatsUp Gold 2026.0 Modern networks are more complex and more exposed than ever. From hybrid infrastructure and distributed devices to expiring certificates and tightened security requirements, network and IT teams are under constant pressure to keep everything running smoothly while reducing risk. Progress WhatsUp Gold 2026.0 is built for that reality.

For today's modern businesses, the data landscape demands security and flexibility. You need to connect your observability platform to rich, proprietary datasets that often reside in private networks without compromising security or managing complex network infrastructure. You may also face an extra layer of complexity in order to effectively query and visualize that data. Luckily, modern artificial intelligence tools have made these previously complicated processes much simpler.

Charts in Netdata have always been interactive. You can zoom, pan, select time ranges, and see per-second granularity across thousands of metrics. But when you spotted something interesting, the next steps usually meant leaving the chart: opening another tab to check a related metric, navigating to the correlation tool, or pulling up a different time range for comparison. The investigation workflow lived outside the chart, even though the chart was where the investigation started.