Elastic Compute Service (ECS)
Container Compute Service (ACS)
Cloud-Native Database: PolarDB | Auto Scaling
In this episode, we will dive deep into the search for a database that is as elastic and scalable as cloud computing.
Cloud-Native Database: PolarDB | Global Database Network
Cross-Region R/W Latency between applications and databases is crucial especially when you are running a global business.
Cloud-Native Database: PolarDB | Parallel Query
To truly resolve the issue of SQL execution time getting slower as data gets bigger, PolarDB for MySQL adopted the feature of Parallel Query at the kernel level.
Cloud-Native Database: PolarDB | HTAP (In-Memory Column Index)
HTAP=OLTP+OLAP? Not really. But HTAP can help cut down your O&M, and PolarDB's In-Memory Column Index feature allows you to meet OLTP and OLAP requirements with one system.
Cloud-Native Database: PolarDB | Multi-Master
For faster R/W speeds, the scaling bottleneck of "one-writer, many readers" for relational databases must be overcome, and Multi-Primary might just be the key to it.
Cloud-Native Database: PolarDB | Strict Consistency Cluster
Delayed reading from RO nodes can cause inconsistency issues, especially for businesses in industries that are sensitive to data latency. To address that issue, the Strict Consistency Cluster was introduced to PolarDB.
Cloud-Native Database: PolarDB | Transparent R/W Splitting
In businesses such as E-Commerce, the need for more reads and fewer writes places enormous pressure on the database's read capacity, which may eventually affect the business. To solve this issue, we would naturally think of R/W splitting.
