Here is my notes about the blog https://engineering.grab.com/one-click-data-ingestion-platform-with-apache-flink

Here are my notes after exploring ScyllaDB architecture and comparing it with Cassandra.

Here is my notes about the blog https://engineering.grab.com/our-journey-to-apache-iceberg-adoption

Here is my notes about the blog of Grab for Counting Service

RocksDB is a high-performance embedded persistent key-value database originally developed by Facebook (Meta). It is optimized for high write throughput, low latency, and efficient SSD utilization.

Here is my notes about the blog https://engineering.grab.com/catwalk-serving-machine-learning-models-at-scale

Both Sidecars and DaemonSets are Kubernetes patterns for running supporting workloads, but they operate at different scopes and solve different problems.

Apache Flink is a distributed stream processing framework designed for high-throughput, low-latency, and stateful data processing.

In the era, where concurrency and high-throughput traffic applications are trend, multiple high-performance language: Java, Golang is out-perform choices due to it handle multi-threads better, Facebook still used PHP as main backend language, so why ?