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How to overcome the cloud observability wall

Dynatrace

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 223
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What is distributed tracing and why does it matter?

Dynatrace

Distributed tracing is a method of observing requests as they propagate through distributed cloud environments. Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. Cloud intelligence for the distributed world.

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What is distributed tracing and why does it matter?

Dynatrace

Distributed tracing is a method of observing requests as they propagate through distributed cloud environments. Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. Cloud intelligence for the distributed world.

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Data supports this shift from monolithic architecture to microservices approaches. ” In developing critical applications and services , it’s crucial to understand legacy software development.

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Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track

O'Reilly

But unlike Watson, I can tell you where those quantum computers will be: they will live in the cloud. The total market might end up being a few dozen—but because of the cloud, that will be all we need. The language, practices, and tools of cloud native architecture are prominent in Velocity Berlin proposals.

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Sequencing Architecture Modernization: Risk Averse vs Risk Tolerant

Strategic Tech

The need to keep delivering product enhancements and new innovations while modernization is in process is one big factor, and dependencies between modernization work items is another. There are 2 key things to keep in mind: There can still be significant complexity in the infrastructure, especially if there is a mix of cloud and on-prem.

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5 tips for architecting fast data applications

O'Reilly Software

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. Mesos achieves that unification by aggregating the infrastructure resources, and then offering resources slices, like x CPUs, y MB RAM, and z GB disk, to applications.