Reaching your performance, durability and efficiency goals in a production setup can be a challenge: there are about a million ways to deploy complex systems, and QuasarDB is no exception. In this series of blog posts, we will be taking you through the various aspects on how to implement a successful QuasarDB deployment in production.
Read MoreTags: optimization, storage
Industrial Internet of Things (IIoT) is facing the new challenge of having to ingest very high volume of timeseries data and perform complex analysis in real time.
Read MoreTags: waveform, IIoT, timeseries, industrial, mqtt, predictive maintenance
QuasarDB is the fastest timeseries database in the world by ingestion speed (and probably by querying speed, but it's very hard to establish objectively), by a significant margin. In the 3.9 branch, we furthered our advance further, and we are working to deliver another major performance boost in the following releases.
Read MoreTags: time series, performance, tuning
Although QuasarDB is mostly run on Linux, most of the development team works primarily on Windows using Visual Studio. It’s because VS has the most advanced native debugger, sitting on top of the Windows Debug API.
Read MoreTags: cpp, debugging, visual studio, extension
You might have noticed that we didn't release QuasarDB 3.9.0 on May 4th, 2020, as our previous release schedule would have commanded.
Since the beginning of the year, QuasarDB's user base grew faster than we anticipated, creating many pain points in our release process, especially the QA phase.
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Auto is a keyword introduced in C++ 11 out of the necessity to capture lambdas.
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Hello, dear reader! I think you have many assumptions about the performance and usage of data structures in C++. This blog post is me, destroying your world.
Read MoreTags: c++, performance, containers
Deploying QuasarDB in cloud-native environments has been possible for many years using the official Docker containers we provide. With the recent rise of container orchestration platforms such as Kubernetes, we can do much more: a single interface to provision, monitor and operate a QuasarDB cluster.
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