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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Dynatrace webhook server validates Dynakube definitions for correctness.

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Team Responsibility Ownership Patterns. Part 1: A Business Architecture Model

Strategic Tech

A Model For Describing The Architecture of a Business Before defining team responsibility ownership patterns and comparing their trade-offs, it’s necessary to have common ground on the language used to define responsibilities a team may own. I’m not precious about any of the definition used in this article. The answer is all of them.

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Microservices: A quick and simple definition

O'Reilly Software

Sam Newman provides a succinct definition of microservices in Building Microservices : “Microservices are small, autonomous services that work together.”. Built and released with automated processes. think in these terms: the smaller the service, the more you maximize the benefits and downsides of microservice architecture.

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The history of Grail: Why you need a data lakehouse

Dynatrace

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. Ingest and process with Grail. It’s based on cloud-native architecture and built for the cloud.

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How architecture evolves into strategy

O'Reilly Software

I should start by saying this section does not offer a treatise on how to do architecture. This is my tailored view of it; others will have different definitions. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Solid doesn't mean inflexible.

Strategy 100
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Reinventing Performance Testing: New Architectures

Alex Podelko

New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. Cloud and virtualization triggered appearance dynamic, auto-scaling architectures, which significantly impact getting and analyzing feedback. – Cloud. – Agile. – New Technologies.

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Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Beyond basic metrics: Detecting Architectural Regressions.