Operations | Monitoring | ITSM | DevOps | Cloud

The book is done. The book is FINISHED. There will be no more writing of the book! Holy macaroni. If you think you might be sensing just a SMIDGE of relief, you wouldn’t be wrong. We started writing this book, Observability Engineering: Achieving Production Excellence, three whole years ago, in the summer of 2019. Remember that?

OpenTelemetry is a set of APIs, SDKs, tooling, and integrations that are designed for the creation and management of telemetry data such as traces, metrics, and logs. One of the main components of OpenTelemetry, or OTel for short, is the OpenTelemetry Collector. The OpenTelemetry Collector, or Otel Collector, is a vendor-agnostic proxy that can receive, process, and export telemetry data.

The last few years have thrown about everything they could at the status quo. Shifting climates, political instability, and a global pandemic have all contributed to a broad host of network device supply chain issues. Consumers all over the globe are still affected by computer chip shortages and many other items delayed by supply chain issues. And it’s not expected to end anytime soon.

According to Insight Partners, the AIOps platform market size is expected to grow from $2.83 billion in 2021 to $19.92 billion by 2028 at a compounded annual growth rate of 32.2%. This skyrocketing growth is fueled by the pace of the IT data deluge getting out of the human hand and the need for resource optimization. Every organization is increasingly producing more IT data, whether in a siloed or unified form.

OpenTelemetry can be used to instrument your Elixir applications to generate telemetry data. The telemetry data can then be visualized using an observability tool to monitor your Elixir application performance. In this tutorial, we will use OpenTelemetry Elixir libraries to instrument an Elixir application and then visualize it using SigNoz. Somewhere during the lifetime of an application, it's inevitable that it will have some performance issues.

Why should you use Single Sign-On? It’s simple; one less password!

Superwise is a monitoring platform that provides model observability for high-scale machine learning (ML) operations. Superwise provides teams with out-of-the-box (OOTB) metrics on their models’ production behavior, so they can effectively address drift, data quality issues, and other problems before they negatively impact business.

This blog series on Active Directory Domain Services (AD DS) is designed to help you gain a good working knowledge of what Active Directory (AD) is. Each successive blog sheds light on some aspects of AD. All blogs are curated to include the right mix of AD theoretical basics along with some valuable hands-on exercises. Through the earlier parts of the blog series, it has become clear that AD DS installed in a Windows environment opens up a host of benefits to organizations.

The Java Collections Framework was a huge leap forward when it was introduced as part of Java 2 (JDK 1.2). Thanks to the included collection classes we finally moved beyond the limits of Vector and Hashtable to more mature and generic solutions. With the introduction of streams and functional concepts in Java 8 the framework took everything to the next level. One of the core principles underlying the framework is coding to the interface.