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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. As cloud complexity grows, it brings more volume, velocity, and variety of log data. Managing this change is difficult.

Cloud 205
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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams.

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Platform engineering: Empowering key Kubernetes use cases with Dynatrace

Dynatrace

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. It needs to be engineered properly as a product or service, and it needs automation, observability, and security in itself.”

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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 192
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Mastering Prometheus: Unlocking Actionable Insights and Enhanced Monitoring in Kubernetes Environments

DZone

In the dynamic world of cloud-native technologies, monitoring and observability have become indispensable. However, managing its health and performance efficiently necessitates a robust monitoring solution. Kubernetes, the de-facto orchestration platform, offers scalability and agility.

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What is chaos engineering?

Dynatrace

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

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How Dynatrace cloud monitoring helped Porsche Informatik accelerate transformation

Dynatrace

To gain greater agility, Porsche Informatik migrated to a containerized, hybrid cloud environment. But this approach introduced new complexity and a need for more advanced cloud monitoring capabilities. At Perform 2021, we were joined by Peter Friedwagner, Head of Infrastructure and Cloud Services at Porsche Informatik.

Cloud 229