Sophie: Kim, are there rules that we still need to put in place?
Kim Oehmichen: That’s a great question, Sophie. For your large scale cloud native environment, you and your teams need insights into how effective your refining policies are, so that you can make adjustments as necessary. Without this level of transparency, your teams cannot ensure that they’re using their assigned capacity or quota efficiently which results in your organization not being able to maximize the return of investment of your observability practices.
As technical account managers (TAMs), we help you to identify and put the right policies and configurations in place that work best for your organization and scale. In other words, we help you to continuously adjust for efficiency, troubleshooting faster by ensuring that the data your engineers need to manipulate during your debugging process are quick and responsive.
Let’s have a closer look at the Query Accelerator. It continuously scans for slower queries and automatically creates a refined alternative. What I think is really cool is that they can simply create a query that returns the data they need, and our query accelerator will ensure that it performs optimally wherever it is used.
Sophie: That is very cool indeed. Actually, did you know that almost 69% of companies recently surveyed by an ESG study said that they’re concerned with their observability data growth? Now, with observability costs and data growth finally under control, your organization can actually do more with the time and savings, and make their observability a competitive advantage, rather than a cost center.
Analyze, refine, operate: The three steps to help your organization fight the mighty data battle and actually win. Thanks for listening, and catch you next time where we can talk more about how you can set your team up for success in a cloud native world.