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Logging with Context

When troubleshooting an issue with logs, it’s often fairly easy to find an important log; for example, an exception is logged and an alert is fired. Once you find an exception in the logs, the trickier part can be understanding why the exception was thrown. One common approach to this problem is looking at the surrounding logs. Logs are typically in chronological order, so if you see an exception, look at the logs’ lines from just before the exception occurred.

Elastic: Hands on with Elastic SIEM: Defending your organization with the Elastic Stack

Does your team analyze security data with the Elastic Stack? If so, come check out Elastic SIEM, the first big step in building our vision of what a SIEM should be. You'll get a first look at how Elastic SIEM can help your security analysts and threat hunters defend your organization:, New Beats capabilities simplify the ingestion of security-relevant data from your IT environment, The Elastic Common Schema (ECS) enables uniform security analysis, The Elastic SIEM app equips analysts with workflows to qualify events and perform initial investigations
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.NET Core support is here for Raygun APM

Today, we're proud to announce the next chapter for Raygun APM - support for .NET Core. Raygun is a breath of fresh air for modern development teams needing an APM solution, and our latest language support is no different. In this release, we're harnessing the power of .NET Core for Windows to bring exciting new features like multithreading and source code integration, so you can offer flawless digital experiences for your customers.

Lessons learned from running Kafka at Datadog

At Datadog, we operate 40+ Kafka and ZooKeeper clusters that process trillions of datapoints across multiple infrastructure platforms, data centers, and regions every day. Over the course of operating and scaling these clusters to support increasingly diverse and demanding workloads, we’ve learned a lot about Kafka—and what happens when its default behavior doesn’t align with expectations.

A Guide to the World of Cloud-Native Applications

It all started with monolith architecture; business logic, user interfaces, and data layers were stored in one big program. As tightly coupled applications, a simple update to the program meant recompiling the entire application and redistributing the program to all users. That led to the difficulty of maintaining consistent program versions and distribution across all clients in order to ensure stability and alignment. This made the monolith approach inefficient and cumbersome.