In this article, implement Data Residency within a simple architecture, thanks to Apache APISIX and Apache ShardingSphere.
Managing Data Residency: Concepts & Theory
Take a look at data residency and design a draft architecture to implement it. In the next article, we will delve into the technical details.
Ingesting Time-Series Events from Kafka into QuestDB
Ingest streaming time-series data from Apache Kafka into QuestDB using ILP with the Kafka Sink Connector
Structured Error Messages for HTTP APIs
RFC 7807 helps API implementors as it provides quick guidelines to avoid reinventing the wheel on every project.
Chronicle Queue Storing 1TB in Virtual Memory on a 128GB Machine
Chronicle Queue and Chronicle Map allows you to have a persisted store which can be embedded into multiple JVMs on the same server.
MicroStream – Part 5: Caching, Integrations and Clustering
In this article, we discuss MicroStream caching and clustering functionality. We also indicate the available integrations.
MicroStream – Part 4: Serialisation Engine
In this fourth part we go deeper into the Serialisation engine that is within MicroStream to store the Object graph in a binary format. In the previous articles (part 1, part 2 and part 3), we have already mentioned that MicroStream …
MicroStream – Part 3: Storing Data
In the third article in the introductory MicroStream series, we discuss the key strategies for storing your data.
MicroStream – Part 2: Configure the Storage Manager
In this second article in the series, we cover how to get started configuring the StorageManager of MicroStream!
MicroStream – Part 1: What is it?
MicroStream is the high-performance Java-Native-Persistence framework to overcome database impedance mismatches.