This Logz.io Infrastructure Monitoring tutorial will cover our latest product, our new metrics solution based on Grafana. Engineers monitor metrics to understand CPU and memory utilization for infrastructure, duration and serverless execution, or for network traffic. For more advanced metrics monitoring operations, teams can send custom metrics to monitor signals like the number of active users. Logz.io’s flagship product is Log Management, which delivers a fully-managed ELK Stack.

Unified Monitoring provides real-time understanding of what is happening, every time and everywhere on the network, and everything connected to it. With Unified Monitoring, engineers are more able to support proactive identification of root causes and deploy the actions and resources needed to maintain the health and integrity of all connected IT assets.

We've added the ability to disable the team-level notification settings on a per-site basis. This allows for even more flexibility in the way you set up and configure your alerts!

Kafka is a distributed, partitioned, replicated, log service developed by LinkedIn and open sourced in 2011. Basically it is a massively scalable pub/sub message queue architected as a distributed transaction log. It was created to provide “a unified platform for handling all the real-time data feeds a large company might have”.Kafka is used by many organizations, including LinkedIn, Pinterest, Twitter, and Datadog. The latest release is version 2.4.1.

If you’ve already read our guide to key Kafka performance metrics, you’ve seen that Kafka provides a vast array of metrics on performance and resource utilization, which are available in a number of different ways. You’ve also seen that no Kafka performance monitoring solution is complete without also monitoring ZooKeeper. This post covers some different options for collecting Kafka and ZooKeeper metrics, depending on your needs.

Kafka deployments often rely on additional software packages not included in the Kafka codebase itself—in particular, Apache ZooKeeper. A comprehensive monitoring implementation includes all the layers of your deployment so you have visibility into your Kafka cluster and your ZooKeeper ensemble, as well as your producer and consumer applications and the hosts that run them all.

Jenkins is an open source, Java-based continuous integration server that helps organizations build, test, and deploy projects automatically. Jenkins is widely used, having been adopted by organizations like GitHub, Etsy, LinkedIn, and Datadog. You can set up Jenkins to test and deploy your software projects every time you commit changes, to trigger new builds upon successful completion of other builds, and to run jobs on a regular schedule.

While SaaS has made digital transformation a cakewalk, the virtual private network (VPN) takes credit when it comes to remote work. A lot of enterprises, as well as small and medium-sized businesses, continue their seamless operations remotely and securely through their VPN. VPNs enable private networks to communicate with the compute resources of public and shared networks.

We’re in the middle of a scary, uncertain time, and we hope those of you reading are staying safe and healthy. Despite the current challenges, the 40+ members of the remote-first Netdata team have been hard at work on the next version of the Netdata Agent: v1.21.0. This release is foundational: While we do have fantastic new collectors and three new ways to export your metrics for long-term storage, many of the most significant changes aren’t even those you’ll notice.