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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

Metrics on Grail “Metrics are probably the best understood data type in observability ,” says Guido Deinhammer, CPO of infrastructure monitoring at Dynatrace. Distributed traces are the path of a transaction as it touches applications, services, and infrastructure from beginning to end.

Analytics 191
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What is IT automation?

Dynatrace

IT automation, DevOps, and DevSecOps go together. DevOps and DevSecOps methodologies are often associated with automating IT processes because they have standardized procedures that organizations should apply consistently across teams and organizations. By tuning workflows, you can increase their efficiency and effectiveness.

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What is DevSecOps?

Dynatrace

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. How is it different from DevOps, and what’s next for the relationship between development, security, and operations within enterprises?

DevOps 274
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC). Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Accelerated innovation.

Analytics 214
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. In production, containers are easy to replicate. Watch webinar now!

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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 261
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What is chaos engineering?

Dynatrace

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. Accelerates innovation. The history of chaos engineering. Blast radius.