Dynatrace
NOVEMBER 7, 2023
By leveraging the power of the Dynatrace ® platform and the new Kubernetes experience, platform engineers are empowered to implement the following best practices, thereby enabling their dev teams to deliver best-in-class applications and services to their customers. Say goodbye to high watermark pricing. Better software, faster.
Dynatrace
MAY 17, 2023
These examples can help you define your starting point for establishing DevOps and SRE best practices in your organization. Ensure expected production behavior One Dynatrace team is responsible for the demo applications we use to demonstrate Dynatrace capabilities.
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Dynatrace
OCTOBER 25, 2022
With Davis , Dynatrace enables rapid MTTR for SRE and DevOps teams by identifying the path to the root causes of detected problems. The proper focus and best optimization level must be chosen wisely to get the most out of the available time. How to prevent this with K8s best practices.
Dynatrace
JUNE 28, 2022
It negatively affects the lead time for changes (LT) , a DORA metric 1 that DevOps teams use to measure platform and team performance. Utilizing a collection of tools for synthetic CI/CD testing can identify an issue while still leaving DevOps and SRE teams responsible for root cause analysis, which they often have to perform manually.
Dynatrace
AUGUST 7, 2023
To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps? This demo walks through how it works.
Dynatrace
NOVEMBER 11, 2022
A common challenge of DevOps teams is they get overwhelmed with too many alerts from their observability tools. DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. Demo: Add the human factor using the Dynatrace events API.
Dynatrace
SEPTEMBER 8, 2022
In short, log management is how DevOps professionals and other concerned parties interact with and manage the entire log lifecycle. Optimally stored logs enable DevOps, SecOps, and other IT teams to access them easily. As logs are generated, log variability creates another challenge for modern DevOps and SecOps professionals.
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