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Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.
Containers speed development, but the applications they support can exponentially increase the number of alerts and system checks. Asynchronous messaging, more dependencies and API/network centricity all conspire to overload application support teams. Furthermore, old monolithic architectures where failure conditions were known and predictable, now give way to a more complex set of conditions involving more moving parts - making manual root cause determination like trying to 'find a needle in a haystack of needles'.
Join this webcast on March 21st at 11 AM EST to learn more about the impact of containers on development and support teams and the strategies needed to prevent alert fatigue and burnout. Topics for discussion include:
- Why traditional and manual alerting methods no longer scale in container environments and the detrimental impact on teams and growth
- The application of adaptive baselining and proven statistical models to help prevent false positives and detect hidden container performance anomalies
- The use of advanced analytics to collect, ingest and correlate multiple conditions to a single root-cause
- How production container analytics can be used to guide design decisions and identify practices that correlate to higher levels of performance