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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

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Conducting log analysis with an observability platform and full data context

Dynatrace

At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.-based Indeed, according to Dynatrace data, 71% of CIOs say the explosion of data from cloud-native architectures is beyond human ability to manage.

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What is DevOps orchestration? And why invest in orchestration tools?

Dynatrace

By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. DevOps is a widely practiced set of procedures and tools for streamlining the development, release, and updating of software. DevOps orchestration in practice. Get started with DevOps orchestration.

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Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages. Let’s take a deeper look at the architecture, protocols, and systems involved. A plan is essentially a set of features with a price.

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Automated observability, security, and reliability at scale

Dynatrace

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.

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Site reliability engineering: 5 things you need to know

Dynatrace

What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE bridges the gap between Dev and Ops teams.

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done.