6 Ways Topology-Powered Observability Gives Back Time to Your Organization

Having enough time available is a struggle we all experience. Technological innovations enable us to develop and deploy software at lightning speed: Sometimes we can push more to production than our organizations’ IT environments can handle.

At the same time, we want to increase customer satisfaction by reducing downtime. But how are you going to keep customer satisfaction rates high if a large majority of incidents are caused by changes? Changes in your IT environment are crucial if you want to deploy fast and often.?

In order to keep their systems healthy and reliable, many organizations have started their observability journey by making use of lots of different APM tools and data lakes. Even though these tools collect useful monitoring and observability data, the amount of data they hold can be overwhelming. Moreover, they often collect different data types - which makes it impossible for these tools to talk to each other and for you to see how data is related.?

Needless to say, it can be a challenge to make the most of the data you collect with APM tools and in data lakes. How can you make your data more actionable, so that you can boost productivity and free up time to focus on application development? In this blog post, I’m explaining how topology-powered observability can help.

1. Share Tribal Knowledge More Efficiently

In the current era with so many autonomous teams, we sometimes don’t see the big picture. Often, it is unclear how (micro) services and applications are connected to each other and depend on components that are far outside of your own team. Moreover, for new joiners, it is extremely hard to quickly grasp what your dynamic IT environment looks like.

A topology-powered observability platform like StackState enables you to move away from knowledge that is either captured in the brain of the super hero - someone who has been with the organization for a long time and knows all of the ins and outs of your IT system - or captured in an outdated?Visio ?drawing.?

2. Find Root Cause Faster by Bringing the Right People to the Table

3. Find Root Cause Faster by Triaging an Outage With the Right Context

4. Reduce Alert Noise and Focus Only on What Matters

5. Capture Expert Knowledge in Your Observability System

6. Define Rules and Best Practices in Your System

Read the full and original blogpost with the other 5 Ways at the StackState Blog