We recently launched the public preview of a new tool that lets anyone dashboard anything – for free. Meet Dashboard Server! You can download it free because we wanted to get our incredible dashboards in the hands of more people. The SCOM community know us well but our dashboards are perfect for so many use cases beyond System Center monitoring. And if you love them as much as we think you will, all we ask in return is that you share that love by spreading the word.

Let’s take a moment and think about security in your organization. Security is often separate from other engineering teams such as development, operations, networking, IT, and so forth. If you narrow down your focus to specifically releasing new software or features and functions in existing software, you’ll find that while development and operations are working together very quickly and efficiently, they’re still vaulting these functions and features over to security.

D2iQ Konvoy simplifies the deployment on Azure by providing a command line interface to automate the deployment and operations of Kubernetes clusters all in one place. In this tutorial, we’ll show you the provisioning of an enterprise-grade Kubernetes cluster on Azure using a single command. Before we get started, let’s talk about a few prerequisites you’ll need: First, download the D2iQ Konvoy installer and authenticate it to your Azure account.

If you are a .NET developer, monitoring runtime metrics can help you troubleshoot bugs and detect resource inefficiencies in your applications. With Datadog, you can easily collect, visualize, and alert on key .NET runtime metrics, including exceptions, garbage collection statistics, thread count, and more. We have fully integrated .NET runtime metrics into Datadog APM so that you can easily view them alongside your distributed traces, logs, and other telemetry.

When running AKS clusters, ideally you want the compute infrastructure to adapt to your Kubernetes workload and not the other way around. VMs should automatically match your application requirements all the time without labor-intensive, hands-on management, and of course, your Azure bill should be as low-cost as possible. However, in trying to achieve this ideal, AKS and Kubernetes users in general, still face significant operational challenges.

It’s been six years since Kubernetes v1.0 was released in 2015, and since then it’s become a critical technology foundation to deploy modern, cloud native applications with speed, develop them with agility and scale them with flexibility. With a fast-maturing ecosystem, advancements in tooling are making it possible for a new wave of applications to be deployed on Kubernetes.

Take the 2021 State of DevOps Survey here. This year marks the 10-year anniversary of our industry-defining State of DevOps research. You’d think after 10 years that there wouldn’t be much more to say about DevOps, but practices and technologies continue to evolve, the best keep getting better, and we keep unearthing new topics to research.

This Logz.io Infrastructure Monitoring tutorial will cover how to get started with our latest product, our new Prometheus-as-a-Service metrics solution that’s based on Prometheus. 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.

Once my new projects are almost ready to share with the team and I can build and test them locally, I’ll need a CI automation tool to test and deploy each release. As a Principal Consultant Declarative Systems, I’ve been recommending JFrog Artifactory to clients looking to bullet-proof their deployments since 2016. After considering different CI solutions, we found that JFrog Pipelines has the best integration with Artifactory which made choosing this platform a no-brainer.

The DevOps model unites development and IT operations to create a powerful organizational culture to achieve business goals more efficiently. Formerly siloed teams can now collaborate continuously to build more robust products, with increased confidence, and achieve business goals faster.