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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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10 tips for migrating from monolith to microservices

Dynatrace

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.

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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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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. We implemented a batch processing system for users to submit their requests and wait for the system to generate the output. Processing took several hours to complete. Here is a visualization of this flow.

Media 291
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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

About the cluster Following a step-by-step process, the objective is to create a four-node cluster consisting of: PostgreSQL version 15 Citus extension (I’ll be using version 11, but there are newer ones available.) In order to speed up the benchmark indexes must be added.

Database 102
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The Most Important MySQL Setting

Percona

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 134
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The evolution of single-core bandwidth in multicore processors

John McCalpin

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., GHz, 1530 GB/s peak BW from 6 HBM stacks), I see single-thread sustained memory bandwidth of 304 GB/s on the ReadOnly benchmark used here. Stay tuned!