Building software
sari and
Building software
How to Scale Your Pods Based on a Queue
medium.com
The "Painless" data migration
- Another challenge was to incorporate the above changes for the existing data i.e. increasing the number of shards and defining a custom routing key for each of the document. The existing index had close to 33 MN documents at the time of the change
- Given that the routing key and the number of shards needed to changes, a
Improving query performance in ElasticSearch at scale
Database Partitioning is when you split the data inside the database into smaller "databases". One partition holds a part of your data. All partitions together form the entire database.
Partitioning is often used with replication, which means each partition's data is copied onto multiple nodes. This way, even though each record is in only one partition, it can be stored on different nodes for fault tolerance. A node may hold more than one partition.
When using a leader-follower replication model, the mix of partitioning and replication might look like this:
Inverse-Conway-Maneuver: How to speed up product development teams successfully
Tobias Soffnerthoughtworks.com
In Elasticsearch, these partitions are known as shards . Each node of the Elasticsearch cluster can serve queries independently for the partition it manages, thereby increasing query throughput.
Improving query performance in ElasticSearch at scale
Gregor @ghohpe
twitter.com
Kai Krause on how short-lived software is relative to other art forms:
You can hum a tune you once liked, years later. You can read words or look a painting from 300 years ago and still appreciate its truth and beauty today, as if brand new. Software, by that comparison, is more like Soufflé: enjoy it now, today, for... See more