Operations | Monitoring | ITSM | DevOps | Cloud

StackState

Why observability is the way to go w/ Georg Höllebauer (APA-Tech) | The StackPod EP #2

Welcome to the second episode of the StackPod! For the second episode, we invited Georg Höllebauer. Georg is an enterprise metrics architect at APA-Tech. APA-Tech is responsible for all IT services within the Austrian Press Agency - Austria's national and largest press agency - and other customers.

Time-traveling topology in observability w/ Mark Bakker and Lodewijk Bogaards | The StackPod EP #1

Welcome to this first episode of the StackPod! This is a podcast where we talk about everything related to observability and working in a tech company. For the first episode, we invited our co-founders Lodewijk Bogaards and Mark Bakker. Anthony interviews them about observability and why a time-traveling topology is crucial for that, the move to the cloud and how that affects observability, cloud costs and much more.

Save 85% in Time Spent on Root Cause Analysis with Topology-based Observability | StackState demo

During the 2021 Gartner IT Infrastructure, Operations and Cloud Strategies conference, our senior solution engineer Mark Arts showed you how you can use topology-based observability - based on our 4T Data Model - to save 85% in time spent on root cause analysis. Useful links.

How it all began... - StackState's origin story

It’s 2014. A major Dutch bank is struggling with performance problems in highly visible customer-facing applications. These performance problems are proving to be incredibly difficult to resolve. It’s not that there’s no monitoring data that could potentially help. In fact, there’s tons of it, all nicely displayed in pretty dashboard after pretty dashboard.

Elastic and StackState Team Up to Pull Needles Out of Haystacks

Delivering great performance and reliability for your critical applications just keeps getting harder, doesn’t it? Between microservices, mercurial cloud resources, containers spinning up and down, distributed teams, specialized teams, and developers making changes, it’s an increasingly complex environment. With so many moving parts, if something goes wrong, how do you know what happened where, and what your environment looked like at the precise moment the problem began?

The Ultimate Guide To Telemetry

If you’re anywhere in the Queensland region of northern Australia, look out. There’s an eight-foot-nine-inch-long (2.65 meters) crocodile, deceptively named Danny-Boy, who might be looking for a snack. Specifically, if you’re anywhere near -12.975388, 141.987344, you should stay on your toes. That’s the last place Danny-Boy was sighted. So unless you want your pipes to be calling, keep your eyes peeled.

Investigating the Scene of an Incident: Using a Time-Traveling Topology to Create Escalation Graphs

Yes, time travel is possible...through data. My ability to time travel began when I started coding at age 10. Back then, all of my code ran on my own little computer. Like many ten-year-olds, I coded to create and play games. I also coded cool graphics to accompany music to impress my friends and utilities for copying. I launched my first commercial website in 1996 and made 25 guilders, which was good money for a 15-year old. Life was so easy.