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Automate digital excellence with Dynatrace Synthetic Monitoring and Workflows

Dynatrace

Navigate digital infrastructure complexity In today’s rapidly evolving digital environment, organizations face increasing pressure from customers and competitors to deliver faster, more secure innovations. The effectiveness of this automation relies on the quality of the underlying data.

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Build systems more reliably with Dynatrace: Chaos Engineering

Dynatrace

To enhance reliability, testing the software under these conditions is crucial to prepare for potential issues by leveraging chaos engineering or similar tools. Chaos engineering is a practice that extends beyond traditional failure testing by identifying unpredictable issues. It forms the cornerstone of chaos engineering experiments.

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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. Data proliferation and the increased complexity of modern multicloud environments are nearly impossible to manage without automation.

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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 185
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AI-powered infrastructure monitoring for your SAP HANA database (Preview)

Dynatrace

HANA maintains all the business and analytics data that your business runs on. However, if you’re an operations engineer who’s been tasked with migrating to HANA from a legacy database system, you’ll need to get up to speed quickly. Don’t worry, when it comes to SAP monitoring, Dynatrace has you covered.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. We needed to increase engineering productivity via distributed request tracing.

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

Dynatrace

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. When trying to address this challenge, your cloud architects will likely choose Amazon Data Firehose.

Cloud 246