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10 tips for migrating from monolith to microservices

Dynatrace

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.

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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. See more fault recovery experiments and insights in our full paper.

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Implementing service-level objectives to improve software quality

Dynatrace

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. Instead, they can ensure that services comport with the pre-established benchmarks. SLOs improve software quality.

Software 269
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What is application modernization? How to pick an application modernization strategy

Dynatrace

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Document and benchmark existing applications, processes, and services. In some cases, this might be a cloud-native application development where IT refactors the app entirely.

Strategy 232
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 petaflops, which is 0.8% of peak capacity.

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What is FinOps? How to keep cloud spend in check

Dynatrace

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. FinOps company culture. There are some challenges with implementing FinOps.

Cloud 201
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Measuring the importance of data quality to causal AI success

Dynatrace

Additionally, teams should perform continuous audits to evaluate data against benchmarks and implement best practices for ensuring data quality. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.