Join the Netdata Team, on the 7th of February at 17:00 UTC for the Netdata Office Hours. Together we'll cover: This event will be available to the Community for rewatch. Hoping to see you there! Meet our panellists.

Securing data at run-time has long been an open security challenge. Whether it is malicious insiders exploiting elevated privileges or attackers exploiting vulnerabilities within the platform’s privileged system software, your data’s confidentiality and integrity was at risk.

Sentry now automatically monitors your top endpoints and functions for significant regressions. And alerts you when - and where - there’s a sudden slowdown. Check out how we resolved a specific regression that increased 3000%.

Meet Rick Jury, Senior Technical Account Manager at Sumo Logic. In this video, Rick talks about the ingestion pipeline and the journey that a log message takes from collection into the Sumo platform, and considerations for administrators around the ingestion pipeline. You will be excited to see how this translates into a search, turning a raw event into a schema and then into actual insights.

Listen to Rust expert Carol Nichols discuss how adopting a memory-safe language like Rust can significantly reduce vulnerabilities.

Nilesh is a Vice President at DBS Bank, where he leads the design and implementation of scalable and innovative solutions using hybrid cloud, big data, and emerging technologies. He has over 2 decades of experience as a software developer, architect, and leader in various domains such as BFSI, healthcare, and retail. He is a Microsoft MVP for Azure since 2018 and the first Docker Captain in Singapore for his excellent contributions to technical communities.

With soft min and max axis limits, the axis will not shrink down to show smaller variation in data as large mountains. So while creating charts you can specifiy a min and a max value for your axis. Actual datapoints will have the highest preference, so you won’t be able to set a min lower than an actual datapoint in your chart.

🚀 A cloud-native Apache Spark® solution on Kubernetes with 10 years of support, compliance, and security maintenance, Charmed Spark® is now available! Enterprise data engineers want Apache Spark® with the ease and long-term security commitment of Ubuntu, and Charmed Spark is the first of many Canonical open-source data solutions designed for reliability and multi-cloud operations.