Operations | Monitoring | ITSM | DevOps | Cloud

VMworld 2021: "We're Proud To Announce..."

I've never seen so much news during VMworld! It began to seem comical that every speaker at the opening "General Session" and subsequent keynotes used the line "We are proud to announce." By the way, one of the most excellent General Sessions I've ever seen in terms of tempo, delivery, and rhetoric! From October 15, you will be able to find all content on-demand here.

Zero to hero: Enterprise multi-cloud application management from Day 0 to Day 2, on any substrate

Kubernetes and Operators have stormed the IT industry, but the enterprise landscape is still a mix of bare metal, virtual machines and Kubernetes, on-prem and on public clouds, all running different workloads. How can we manage the lifecycle of all those applications across all these environments, whithout having to learn new tools and frameworks as the industry is already moving to serverless? In this fast-flowing demo we will show you how the Charmed Operator Framework brings a unified approach for application management across clouds and infrastructure generations.

How We Use Sloth to do SLO Monitoring and Alerting with Prometheus

One of the most challenging tasks for Site Reliability Engineers is to align the reliability of the systems with the business goals. There is a constant battle between delivering more features—which increases the product’s value—and keeping the system reliable and maintainable. A significant ally to achieve both objectives is the Service Level Objective Framework.

Differences between Site Reliability Engineer Vs. Software Engineer Vs. Cloud Engineer Vs. DevOps Engineer

The evolution of Software Engineering over the last decade has lead to the emergence of numerous job roles. So how different is a Software Engineer, DevOps Engineer, Site Reliability Engineer and a Cloud Engineer from each other? In this blog, we drill down and compare the differences between these roles and their functions.

Install Netdata to get started monitoring Linux in minutes

Install Netdata to monitor your Linux servers using our one-line installer. Install on physical, virtual, container, and IoT nodes. Netdata’s free, open-source monitoring agent works with Netdata Cloud to help you monitor and troubleshoot every layer of your systems to find weaknesses before they turn into outages.

How to monitor Docker containers using Netdata health and performance

Learn how to connect and claim a Docker node to start monitoring with Netdata in minutes. See information like system CPU, available memory, disk usage, total network bandwidth, and much more. Netdata’s free, open-source monitoring agent works with Netdata Cloud to help you monitor and troubleshoot every layer of your systems to find weaknesses before they turn into outages.

Learn how to build interactive dashboards with Netdata Cloud for troubleshooting systems

This video will show you how to build new dashboards with key metrics from any number of distributed systems in one place for a bird's eye view of your infrastructure. Create more meaningful visualizations for troubleshooting or keep a watchful eye on your infrastructure's most meaningful metrics without moving from node to node. Netdata’s free, open-source monitoring agent works with Netdata Cloud to help you monitor and troubleshoot every layer of your systems to find weaknesses before they turn into outages.

How to use Netdata Cloud for infrastructure observability

In this video, we cover how Netdata Cloud provides scalable infrastructure monitoring for any number of distributed nodes running the Netdata Agent. Monitor any system in your infrastructure including physical or virtual machines (VM), containers, cloud deployments, or edge / IoT devices. Netdata’s free, open-source monitoring agent works with Netdata Cloud to help you monitor and troubleshoot every layer of your systems to find weaknesses before they turn into outages.

Introducing Test Insights with flaky test detection

The CircleCI Insights dashboard was designed to help you improve your delivery efficiency. We launched the dashboard a year ago to provide teams with actionable data for optimizing your pipelines. Since then, we’ve been listening to your feedback. By far, the most requested functionality is the ability to gain further visibility into test performance.

7 JSON Logging Tips That You Can Implement

When teams begin to analyze their logs, they almost immediately run into a problem and they’ll need some JSON logging tips to overcome them. Logs are naturally unstructured. This means that if you want to visualize or analyze your logs, you are forced to deal with many potential variations. You can eliminate this problem by logging out invalid JSON and setting the foundation for log-driven observability across your applications.