Unified monitoring is for any organization that uses IT operations extensively in their business. Many times, the organizations who need unified monitoring have experienced outage and availability issues, have in-house solutions that struggle to scale or don’t meet regulatory requirements, lack of visibility into their infrastructure, or don’t have the ability to do reporting (for example: SLA compliance reports).
Gut Ding will Weile haben. Or, Rome wasn’t built in a day. Though, I like the German version more because it’s not that quite a stretch. Well, what this is all about you ask? It’s been the first quarter of 2017 when the first version of the Icinga Business Process Module had the chance to impress its audience. It’s gone rather quiet since then. But don’t worry, just two years later there is the solution to the so-called order it imposed on us: Chaos.
A recent article by The Information: As AWS Use Soars, Companies Surprised by Cloud Bills was very interesting and worth a read. The authors examined the AWS spending patterns of five large companies to demonstrate that all were way over budget as it related to AWS spend. They reference Pinterest “spending roughly $190 million on AWS last year, $20 million more than it had initially expected... and Adobe’s bill rose 64%, while Capital One’s jumped 73%; Pinterest’s rose 41%...
“Monitoring policy system”, “monitoring policy system”, “monitoring policy system”… As much as you repeat it, it still sounds boring, unappetizing and expensive. But you have to admit that an in-depth contact with the monitoring policy system, especially the system that concerns you, is also useful, convenient and practical after all. Therefore, to benefit you, we will start today with the policies in Pandora FMS.
Serious software development calls for performance optimization. When you start optimizing application performance, you can’t escape looking at profilers. Whether monitoring production servers or tracking frequency and duration of method calls, profilers run the gamut. In this article, I’ll cover the basics of using a Python profiler, breaking down the key concepts, and introducing the various libraries and tools for each key concept in Python profiling.
In case you missed it, Sensu Go became generally available in December 2018, and commercial support for Sensu Go became generally available just last month. With these major milestones now in our rearview mirror, it's time to help our customers reach their own milestones of migrating from Sensu to Sensu Go.
A couple of months ago we released the all-new Anodot.com. Following the release, I explored our Google Analytics account to see what had happened post-launch. I have always been ambivalent about Google Analytics. On the one hand, the service has helped shape web analytics as we know it today and is used by nearly every website. Not to mention it’s free and rather easy to consume. On the other hand, GA is never a slam dunk.
As the threat landscape continues to expand, having end-to-end visibility across your modern application stack and cloud infrastructures is crucial. Customers cannot afford to have blind spots in their environment and that includes data being ingested from third-party tools.
In an attempt to jump on the Kubernetes bandwagon, more and more managed Kubernetes services are being introduced. In a previous post, we explored how to deploy a Kubernetes cluster on Amazon EKS. This time, we will cover the steps for performing a similar process, this time on Google’s Kubernetes Engine.
