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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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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. ” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios.

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The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

Customer empathy is key to a fully optimized site reliability engineering practice Software engineering can often be an impersonal discipline. Generative AI can also help improve root cause analysis by allowing users to ask specific questions regarding architecture and digital environments.

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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 196
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What is DevOps orchestration? And why invest in orchestration tools?

Dynatrace

Monitoring and logging tools that once worked well with earlier IT architectures no longer provide sufficient context and integration to understand the state of complex systems or diagnose and correct security issues. Manually managing and securing multi-cloud environments is no longer practical. Automation versus orchestration.

DevOps 219
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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE).

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Using a GPU Boosts TiDB Analytics Performance from 10 to 150

DZone

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

Analytics 223