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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

” 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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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.

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SRE vs DevOps: What you need to know

Dynatrace

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. SRE as an application of DevOps. SRE vs DevOps? Efficiency.

DevOps 193
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. availability.

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The State of DevOps Automation assessment: How automated are you?

Dynatrace

By contrast, the quantitative questions include: What proportion of time do software engineering and development teams spend writing automation scripts? All of these recommendations and more in addition to the latest insights on the current state of DevOps automation are available in the DevOps Automation Pulse.

DevOps 195
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed.

Java 207