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Building software
Replication lag occurs when there is a delay between a write operation being executed on the primary (leader) node and the same operation being replicated to the secondary (follower) nodes.
Replication lag is a basic issue in leader-based replication systems that are made for better availability, scalability, and faster response times by spreading out read operations across replicas in different locations.
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:
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
In most companies, activity is driven by the org chart. That’s how decisions are made, communicated, and acted on. That’s why it’s hard to scale as a company grows. Deep org charts give structure to huge hierarchies of people, but they’re not great for executing on projects.
nametwitter.comi want to make software that feels like magic.
i want to make software that is useful, to many people; that is valuable, that makes sense. but that's also surprising, pleasant, funny.
i want to make software is serious and makes sense but is also silly and doesn't.
eugene is building untitled map apptwitter.com