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Kubernetes has a bad habit of throttling CPU resources—with the result that you can suffer severely degraded performance or find yourself paying a fortune for extra, unnecessary infrastructure. Watch this video to learn how K8s clusters protect themselves from what they see as heavy CPU usage, and how you can monitor and troubleshoot the problem. We demonstrate how you can:– Use Netdata to reduce API response times by a factor of 7– Expect to reduce infrastructure resource requirements by 60-75%

The video uses a scenario to demonstrate how to use Root Cause Explorer to analyse and troubleshoot an incident faster. The video shows how Root Cause Explorer helps you dig deeper into the relevant logs and traces in order to isolate the root cause using various dashboards.

This video explains the main features of Root Cause Explorer in great detail.

Watch how to use MAAS to build your own bare metal #cloud. This fast and fun video runs through the official MAAS.io tutorial, so you can follow along at your own pace. Want to learn more about bare metal #kubernetes too?

In this video, Pranay will walk through different design considerations which should be taken into account in ingesting huge amount of data using Opentelemetry into SigNoz. He also presents some performance benchmarks we were able to achieve in ingesting around 1mn events/s This talk was originally presented at Kubernetes Community Days Bangalore 2022

Start your Cloud journey today with the Atlassian Migration Program . We’ve distilled the most critical resources and learnings for our customers into a single one-stop-shop giving you the tools, support, guidance, and promotions you need to migrate with confidence. Get started on your migration now to start taking advantage of the best Atlassian has to offer and to ensure a smooth, successful move.

Developers know that testing their software has all kinds of benefits, but why store test data? CircleCI users can easily capture this test metadata and use it to unlock powerful time and money-saving features with just a few lines of configuration code.

Managing microservices requires understanding many dependencies, both technical and operational. Join Brooke Chen of Datadog as they introduce Service Catalog, a new view combining telemetry, performance, topology, and metadata to enable at-a-glance understanding of even the most complex microservices architectures.