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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. This significantly increases event latency.

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Cybersecurity Awareness Month 2023: Key themes and best practices for protecting against cyberthreats

Dynatrace

Using vulnerability management, DevSecOps automation, and attack detection and blocking in your application security process can proactively improve your organization’s overall security posture. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

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The Speed of Time

Brendan Gregg

What about short-lived processes, like a service restarting in a loop? This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. I'm including this step as a reminder for anyone following this kind of analysis. These can be invisible to top(8). include <sys/time.h>

Speed 126
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2023 Black Friday and Cyber Monday retail and e-commerce IT performance observations

Dynatrace

Social media was relatively quiet, and as always, the Dynatrace Insights team was benchmarking key retailer home pages from mobile and desktop perspectives. In the past, I tried to understand where in the page-loading process was the majority of time spent. This year we saw few, if any, major issues with online retailers.

Retail 210
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Answer-driven release validation with Dynatrace SaaS Cloud Automation

Dynatrace

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria that a service must meet before it is advanced to the next phase of the software delivery pipeline. Transparent and confident software delivery with Dynatrace Release Analysis. What are quality gates?

Cloud 235
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An analysis of performance evolution of Linux’s core operations

The Morning Paper

An analysis of performance evolution of Linux’s core operations Ren et al., A micro-benchmark suite, LEBench was then built around tee system calls responsible for most of the time spent in the kernel. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0 SOSP’19.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. You can pick a smart selection of relevant metrics from these.

Metrics 130