Data quality isn't just a technical issue: It impacts an organization's compliance, operational efficiency, and customer satisfaction.
A discussion on Generative AI: Join industry experts as they talk about how GenAI has transformed the software development space.
Containers are engineered to support the need for continuous application changes. As self-contained artifacts, they accelerate the benefits of immutability, where full systems are disposable and can be quickly reconstructed - meaning no patching and configuration drift. But there's no free-lunch and the ephemeral nature of containerized apps challenges teams to understand how a "now you see it, now you don't" system impacts overall application performance.
New techniques are required to manage containerized changes in the context of the highly dynamic state in which they operate. Join this webcast to learn:
- How small changes in containers (in code, apps, and architecture) can remain undetected, but cumulatively build to cause severe problems
- The application of multi-dimensional analysis to track container changes across time to pinpoint the impact on performance
- Methods to increase the supportability and resilience of containerized applications within and across the continuous delivery pipeline
