Cyber-resilience hinges on observability: Modern cyber-resilience is no longer just about defense, but also about proactive visibility, leveraging real-time data, analytics, and AI to detect and ...

Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system’s behavior is determined from its ...

Recently, IBM struck a deal to acquire Databand.ai, which develops software for data observability. The purchase amount was not announced. However, the acquisition does show the importance of ...

In the age of mainframe computing, stacks were static, applications were easy to track and the monolithic infrastructures supporting them were simple to map. Everything was visible, and application ...

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Observability tools and platforms exist at the center of a distributed application architecture. They help DevOps and site reliability engineering (SRE) teams actively debug their systems rather than ...

Enterprises today face unprecedented challenges in managing the complexity of their data ecosystems. Traditional data monitoring focuses on infrastructure but fails to provide visibility into the data ...

As modern software systems become more and more complex, gaining observability into how applications perform and what makes them fail is quickly climbing up the priority list. As enterprise technology ...

The autonomous software revolution is coming. At Transform 2025, Ashan Willy, CEO of New Relic and Sam Witteveen, CEO and co-founder of Red Dragon AI, talked about how they're instrumenting agentic ...