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ClickHouse is the fastest, most resource-efficient OLAP database which can query billions of rows in milliseconds and is trusted by thousands of companies for real-time analytics.
Here are seven tips to help you spin up a production ClickHouse cluster and avoid the most common mistakes.
I feel like there’s always been a love-hate relationship with the concept of testing. Without a doubt, the benefits of testing whatever you are building help avoid customers reporting those same discoveries. That’s the love part of the relationship.
The hate part is when project timelines cause testing to become a lower priority…often to the point where it becomes a backlog wishlist item that rarely surfaces in a current sprint. This almost guarantees customers will contact you with unexpected outcomes.
As a cornerstone of many web applications, MySQL is a robust and reliable database management system. However, achieving optimal performance in MySQL requires a strategic approach to configuration, indexing, and query optimization. In this blog post, we’ll explore key practices to enhance MySQL performance, ensuring your database operates at peak efficiency.
MySQL comes with a default configuration that is typically conservative to ensure it works on a wide range of systems. However, these settings might not be ideal for your specific workload. Here are some configuration parameters to adjust:
In this article, I want to share my experience with creating a native image for EmbeddedKafka using GraalVM. Utilizing this image in integration tests not only speeds up the execution of test scenarios but also reduces memory consumption. Interestingly, when compared to using confluentinc/cp-kafka in Testcontainers, there is a noticeable difference in both speed and memory usage — and it's not in favor of the latter.
A brief overview of the key components used in the project: