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Expanding Vision: OpenSearch Dashboards Advance Open Source Observability

From the moment Elastic announced plans to abandon a pure open source license for its Elasticsearch engine and Kibana dashboards in early 2021, there’s been a massive effort underway to create clear alternatives for the global community of active users. Logz.io has been an outspoken advocate and contributor to this work – fully embracing it as part of our product roadmap to best serve the needs of our customers, and preserve our long-term commitment to open source observability.

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.

Why API Monitoring is a Business Necessity

This article will discuss API Monitoring, the definition of APIs and how they would affect your business if there is a failure, and how to protect APIs or your services. Everything on the web is powered by an API nowadays. APIs are an essential part of the web to connect different services that help customers complete their actions. This article will help you understand the importance of API and why API monitoring is a business necessity.

Advantages of Using a Mock API to Accelerate Development

Mocking APIs is an increasingly popular trend, with more and more developers seeing the advantages of mocking dependencies rather than spinning up actual duplicates of resources. On a high-level, a mock API means that you have a service that returns static data, which in turn is based on a real API.

What Makes the Automated Testing Process More Reliable Than Manual Testing?

Manual software testing processes have been around for decades and have proved reliable all these years. However, when benchmarked with automated testing processes, it seems to be lacking in this regard. It is a known fact that test automation speeds up delivery for software testers, but at first glance, this methodology of testing systems and apps seems unreliable. A deeper dive into both automated and manual testing processes reveals a shocking truth.

How to configure Netdata's all-new Anomaly Advisor, powered by ML, for real-time troubleshooting

Netdata's Lead Machine Learning Engineer, Andrew Maguire, walks through how to configure the all-new Anomaly Advisor. This new feature lets you troubleshoot in real-time, at scale, by identifying periods of time with raised anomaly rates across your entire infrastructure. In this guided video, Andrew will explain how to enable Netdata's ML functionality then, how to set up unsupervised anomaly detection with minimal configuration, and lastly how the Anomaly Advisor works to speed up troubleshooting when an incident occurs.