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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is Apache Kafka?

Latency 147
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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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PostgreSQL Benchmark: ScaleGrid vs. Amazon RDS

Scalegrid

Performance Benchmarking of PostgreSQL on ScaleGrid vs. AWS RDS Using Sysbench This article evaluates PostgreSQL’s performance on ScaleGrid and AWS RDS, focusing on versions 13, 14, and 15. This study benchmarks PostgreSQL performance across two leading managed database platforms—ScaleGrid and AWS RDS—using versions 13, 14, and 15.

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Comparing PostgreSQL DigitalOcean Performance & Pricing – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

We measure PostgreSQL throughput in terms of transactions processed. Throughput in general is the rate at which something is processed, and in terms of PostgreSQL, this is the number of transactions per second (TPS) your application can handle. PostgreSQL Benchmark Setup. Benchmark Tool. Throughput. PostgreSQL Version.

Database 230
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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

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

DZone

Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications. As software engineers, we are always striving for high performance and efficiency in our code.

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Tuning PostgreSQL Database Parameters to Optimize Performance

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. The checkpoint process flushes the data into the data files. wal_buffers. Conclusion.

Tuning 79