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Benchmarking spreadsheet systems

The Morning Paper

Benchmarking spreadsheet systems Rahman et al., construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc. The other systems avoid this recomputation, but are slower than Excel for value-only datasets. Rahman et al.

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Announcing bpftop: Streamlining eBPF performance optimization

The Netflix TechBlog

By Jose Fernandez Today, we are thrilled to announce the release of bpftop , a command-line tool designed to streamline the performance optimization and monitoring of eBPF applications. Striking a balance between eBPF’s benefits and system load is crucial, ensuring it enhances rather than hinders our operational efficiency.

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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. We designed experimental scenarios inspired by chaos engineering.

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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
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

Tuning 52
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. One, by researching on the Internet; Two, by developing small programs and benchmarking. In Byteland they have a very strange monetary system.

Java 207
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What is application modernization? How to pick an application modernization strategy

Dynatrace

Improved efficiency. With improved application efficiency, teams can service clients better and access cloud-native tools. An application modernization strategy may include the rearchitecting, rebuilding, re-coding, refactoring, re-hosting, replatforming, or even the retirement and replacement of legacy systems.

Strategy 232