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Using a GPU Boosts TiDB Analytics Performance from 10 to 150

DZone

Authors: Ruoxi Sun (Tech Lead of Analytical Computing Team at PingCAP). Fei Xu (Software Engineer at PingCAP). TiDB is a Hybrid Transaction/Analytical Processing (HTAP) database that can efficiently process analytical queries.

Analytics 223
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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 193
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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

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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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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks.

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Visualising Sociotechnical Architecture with DDD and Team Topologies

Strategic Tech

I remember as a young, naive software developer, I assumed there would be structured processes and patterns similar to those used for designing a software architecture. I crave structure and analytical thinking patterns to design optimal solutions. A clear warning sign. Further investigation is required.

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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. Fact #3: Minimum impact detected through synthetics.

AWS 195