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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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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. One powerful way that can help us accurately measure the performance of our code is a process called benchmarking, and we’ll look at how to use BenchmarkDotNet with our C# code.

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Announcing bpftop: Streamlining eBPF performance optimization

The Netflix TechBlog

Striking a balance between eBPF’s benefits and system load is crucial, ensuring it enhances rather than hinders our operational efficiency. bpftop simplifies the performance optimization process for eBPF programs by enabling an efficient cycle of benchmarking, code refinement, and immediate feedback.

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DevOps automation: We’re only halfway there

Dynatrace

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated. The report describes the various benchmarks that constitute each stage in depth.

DevOps 214
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What is application modernization? How to pick an application modernization strategy

Dynatrace

Application modernization centers on bringing monolithic, on-premises applications — which IT teams usually update and maintain with waterfall development processes — into cloud architecture and release patterns. Improved efficiency. With improved application efficiency, teams can service clients better and access cloud-native tools.

Strategy 236
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning?

Tuning 52
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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. All these contribute significantly towards ensuring smooth functioning.

Metrics 130