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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Anomaly Detection Models in Moogsoft | Moogsoft Product Videos & How-Tos

Moogsoft has several different anomaly detectors, and auto-select the optimum one for given metrics. This video explains each model, as well as how to override the model selected by default. Don't forget to subscribe for content on DevOps, Observability, AIOps and more!

Anomaly Advisor Case Study - K6 Load Test

In this video, our Analytics & ML Lead, Andrew Maguire, walks through an example case study using the K6 load testing platform to run a load test against some of our demo servers running Netdata. Watch in real-time as the Anomaly Advisor reacts to the load test and painlessly surfaces the most anomalous metrics, making it easy to just "see" the load test and how it plays out on the servers.

How We Create API Tokens Using Spring Boot

Have you ever wondered how much effort goes into providing a seamless authentication process on a platform such as the Qovery console? Needless to say, we do not take security or user experience lightly. That’s why we decided to combine SSO through our users’ Git provider accounts (GitHub, GitLab and Bitbucket) with an external authentication service called Auth0.

Monitor your Helm-managed Kubernetes applications with Datadog

Helm is a package manager that makes it easy to deploy and manage Kubernetes applications. Our new Helm integration allows you to monitor the availability and status of the Helm-managed applications deployed in your Kubernetes clusters. In this post, we’ll show you how you can visualize the status of your Helm releases and use monitors to notify you of important changes in your Helm environment.

Monitor Amazon RDS Proxy with Datadog

For over a decade, Amazon RDS (Relational Database Service) has been a popular managed database service companies have used to set up, operate, and scale databases for web and mobile applications. However, modern, high-scale applications can have upward of tens of thousands of clients. This means that maintaining direct connections between the database and application can quickly begin to consume more resources than the query executions themselves.