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Why applying chaos engineering to data-intensive applications matters

Dynatrace

ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks. Kafka Streams takes longer to recover from failures and presents volatile behavior. From the Kafka Streams community, one of the configurations mostly tuned in production is adding standby replicas.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

Leveraging pgbench , which is a benchmarking utility that comes bundled with PostgreSQL, I will put the cluster through its paces by executing a series of DML operations. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 104
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The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

At AWS re:Invent in 2018, the Lambda team presented an excellent talk. On the other hand, features needed for monitoring large applications, like memory dumps, code-level-visibility, or event loop metrics on Node.js In a future blog post, we’ll explain how to interpret Lambda metrics. Why metrics alone aren’t enough.

Lambda 218
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Web Performance Bookshelf

Rigor

How to pioneer new metrics and create a culture of performance. This book presents 14 specific rules that will cut 25% to 50% off response time when users request a page. In her book, Lara Hogan helps you approach projects with page speed in mind, showing you how to test and benchmark which design choices are most critical.