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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.

9 Metrics DevOps Teams Should Be Tracking

Change is never easy. Tracking positive outcomes from change makes it a bit easier. When embarking on any transformation, it’s important to identify specific objectives and to determine how those objectives will impact the bottom line. Since DevOps involves adopting culture, it can be hard to put tangible metrics in place to determine its success.

Download this white paper to uncover tips and best practices for measuring key metrics for your DevOps success, such as:

  • Mean time to recovery
  • Percentage of failed deployments
  • Deployment frequency

Once you’re on your way, you’ll be glad that you have been measuring your improvements and areas where you can keep getting better.

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