Operations | Monitoring | ITSM | DevOps | Cloud

The final post of a three-part guide to assuring performance and availability of critical cloud services across public and hybrid clouds and the internet Kentik Synthetics adds integrated, autonomous, pervasive performance test telemetry to our market-leading network traffic analytics and observability platform, the Kentik Network Observability Platform. For modern clouds, proactive synthetic monitoring can no longer be delivered as a standalone tool.

Part two of a three-part guide to assuring performance and availability of critical cloud services across public and hybrid clouds and the internet Monitoring your user traffic is critical for knowing the quality of the digital experience you are delivering, but what about the performance of new cloud or container deployments, expected new users in a new region, or new web pages or applications that don’t have established traffic? This is where synthetic testing can be invaluable.

You know what data centers* are, we’ve told you a lot about the on this blog. Today, however, it is time to check out a particular aspect such as the singleness of their architecture**. In addition to what role they play in the present and which one they will play in the future. * Physical facility that organizations use to host their information, applications, critical data… **There’s a good example of alliteration, great rhetorical figure. So let’s go!

Not in a reading mood? You also can watch the talk I gave at DjangoCon 2022. One of Sentries core company values is “for every developer”. We want to support every developer out there with our tools. But not every developer uses the newest or widely adopted tech stack, so we also try to support older versions of libraries and frameworks.

A Citrix Virtual Apps and Deskstops or Citrix Desktop as a Service deployment does not comprise Citrix components only. For instance, SQL databases are crucial components of every Citrix VAD stack and therefore need to be monitored and managed intensively. Besides whether your Citrix delivery controllers have proper access to them, you obviously need to track the database performance and capacity as well.

In this post, we'll learn all about the incident metric mean time to detect (MTTD). We'll see how to measure it and look at its relationship with other incident metrics like MTTR (mean time to recover). Both metrics give useful insights into your incident recovery ability.

If you’re writing software today, then you likely use a CI/CD pipeline to build and test your code before deploying it to production. Having a fast and efficient build pipeline saves you development time, shortens feedback loops, and helps you ship features faster. Conversely, slow and unreliable build pipelines are full of lost productivity and sadness.

A big piece of news to come out of ObservabilityCON in early November was the launch of Grafana Phlare. Phlare is an open source, horizontally scalable, highly available, multi-tenant continuous profiling aggregation system. Continuous profiling has been dubbed the fourth pillar of observability, after metrics, logs, and traces. The idea behind Phlare was sparked during a company-wide hackathon at Grafana Labs.