Dashboards should be easy to build and provide powerful insights. Our magic dashboards are already created automatically, so you don’t have to spend any time setting up these dashboards yourself. Many developers started tracking custom metrics that were unique to their applications. From these metrics, you can create custom dashboards and add triggers to get notified if values go outside of your desired range.
In Part 1 of this series, we looked at the key observability data you should track in order to monitor the health and performance of your Red Hat OpenShift environment. Broadly speaking, these include cluster state data, resource usage metrics, and information about cluster activity such as control plane metrics and cluster events. In this post, we’ll cover how to access this information using tools and services that come with a standard OpenShift installation.
In Part 1, we explored three primary types of metrics for monitoring your Red Hat OpenShift environment: We also looked at how logs and events from both the control plane and your pods provide valuable insights into how your cluster is performing. In this post, we’ll look at how you can use Datadog to get end-to-end visibility into your entire OpenShift environment.
Red Hat OpenShift is a Kubernetes-based platform that helps enterprise users deploy and maintain containerized applications. Users can deploy OpenShift as a self-managed cluster or use a managed service, which are available from major cloud providers including AWS, Azure, and IBM Cloud. OpenShift provides a range of benefits over a self-hosted Kubernetes installation or a managed Kubernetes service (e.g., Amazon EKS, Google Kubernetes Engine, or Azure Kubernetes Service).
There are several ways to write and query InfluxDB v2 (either open source or Cloud). You can use the HTTP API, Telegraf and any of 200+ plugins, or a client library. However, if you’re specifically looking to build an application with a fast way to fetch data concurrently with an easy binary deploy then — you guessed it — you’d probably want to use the InfluxDB Go Client.
Crash Report Client is an Unreal Engine tool that allows developers to capture C++ crash reports from supported platforms. At crash time, a dialog is shown to the user so that they may add comments or replication steps to the details of the report. Once the crash report is submitted, it’s pushed to one of Epic’s servers so that developers can review the crash and fix the underlying issue. Often, the crash is a result of code that wasn’t written by Epic.
Dashbird, a platform for serverless application monitoring, has raised $2.1 million in a seed round. The investment was led by Paladin Capital Group, with participation from Passion Capital, Icebreaker.vc and Lemonade Stand.
Are you currently dealing with complex and fast-changing Cloud & Container environments? If your answer to that question is yes, then you are probably looking for an easy solution that gives you complete control to make sense of all these fast and complex IT environments. In the dynamic world of microservices and containers, traditional monitoring solutions are no longer sufficient to provide needed visibilities to maintain healthy and happy environments.
I wrote a quick script the other day to pull some SCOM Alert data for testing and thought I’d share a summarized version for anyone looking for easy options to extract their SCOM data. The below sample script pulls all of the SCOM Alerts from your Management Group and pushes them via REST to a specified endpoint. Using the Operations Manager module makes this pretty quick and painless. I’ve called out a couple of easy tweaks you can make below to the script itself.
