How observability has changed in recent years and what's to come

Join senior executives in San Francisco on July 11-12 to learn how leaders are integrating and optimizing AI investments for success. Find out more

In recent years, businesses have become increasingly dependent on observability to manage and maintain complex systems and infrastructure. As systems become even more complex, observability must evolve to keep pace with changing demands. The big question for 2023: What's next for observability?

The proliferation of microservices and distributed systems has made it more difficult to understand real-time system behavior, which is essential for troubleshooting. Recently, more and more companies have solved this problem with automations to monitor distributed architecture, in-depth monitoring and real-time observability.

However, each decade has brought a sea change in the way observability is supposed to work. The past three decades have seen transformation after transformation - from on-premises to cloud to cloud native. With each generation came new problems to solve, opening the door to new businesses:

The on-premises cloud era has led to a few companies like Solarwinds, BMC, and CA Technology. The cloud era (where AWS entered) brought with it a shaken market, with new companies like Datadog, New Relic, Sumologic, Dynatrace, Appdynamic and many more. The cloud-native era (from 2019-2020) brought another market upheaval.

Why does observability change?

The main reason for the current redesign is that companies are building software using an entirely different technology compared to 2010. Rather than monolithic architectures, they are using microservices, Kubernetes, and a distributed architecture.

Event

Transform 2023

Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.

Register now

There are three main reasons why this is the case:

Better security Easy scalability More ef...