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Exploratory analytics and collaborative analytics capabilities democratize insights across teams

Dynatrace

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 203
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health.

Analytics 211
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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase. What’s next? Curious to see how it all works?

DevOps 205
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Manage platform health and performance.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats.

Systems 187
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What is full stack observability?

Dynatrace

Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure. DevOps teams can also benefit from full-stack observability. How full-stack observability enhances IT and DevOps. See observability in action!

DevOps 233
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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

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.