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Introduction to Benchmarking in Julia

DZone

For the number of years I’ve been programming using Julia, I’ve never really been concerned with performance. But now that I’ve released OmniSci.jl , and as a company one of our major selling points is accelerated analytics , I figured it was time to stop assuming I wrote decent-ish code and pay attention to performance.

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Announcing bpftop: Streamlining eBPF performance optimization

The Netflix TechBlog

Introducing bpftop bpftop provides a dynamic real-time view of running eBPF programs. It displays the average execution runtime, events per second, and estimated total CPU % for each program. This tool minimizes overhead by enabling performance statistics only while it is active.

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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. Depending on the application programming language, which is specified as an argument in the command line, the tool launches a compatible image profiler that contains everything it needs to successfully produce the flame graph.

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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

And it covers more than just applications, application programming interfaces, and microservices. Consider how AI-enabled chatbots such as ChatGPT and Google Bard help DevOps teams write code snippets or resolve problems in custom code without time-consuming human intervention. Operations. Digital experience. Business analytics.

Software 192
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Cybersecurity Awareness Month 2023: Key themes and best practices for protecting against cyberthreats

Dynatrace

The program advocates for a shift in behavior nationwide. Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code. Doing so will reduce the likelihood of malicious actors compromising IT services.

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Measure What You Impact, Not What You Influence

CSS Wizardry

Improving each of these should hopefully chip away at the timings of more granular events that precede the LCP milestone, but whenever we’re making these kinds of indirect optimisation, we need to think much more carefully about how we measure and benchmark ourselves as we work. It’s vital to measure what you impact, not what you influence.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. <code> 127.0.0.1:6379> <code> 127.0.0.1:6379>

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