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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Actionable Insight in Massively Scalable Environments

231 Downloads

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

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Date: March 21, 2018 at 12:00pm ET

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