Data partitioning, or sharding, involves dividing a large database into smaller pieces. This helps improve how the database is managed, its performance, availability, and how the application distributes its workload. The idea behind sharding is that once a database reaches a certain size, it’s more efficient and cost-effective to add more machines horizontally (meaning, adding more machines) than to invest in bigger, more powerful servers vertically. In nutshell, it is the process of splitting up a DB/table across multiple machines.
Read MoreMonth: April 2024
Latency metrics
Latency measures are crucial for checking how well your apps and services perform. Latency means the total time it takes for a piece of data to go from where it starts to where it ends up, usually on a network. When we talk about latency, we’re mostly talking about how fast things move in a network. It’s one of the main things we look at to see if a service is good or not. We usually measure it in milliseconds. The lower the latency, the better the user’s experience.
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