Rolling restart-A way of restarting multiple servers from cluster one by one.
Throughput- Number of Request processed/second
Concurrency-Throughput* response time
Concurrency-Throughput* response time
Horizontal Scaling: Here scaling happens by adding new m/c into our pool of resources.
Vertical Scaling: We scale by adding more power (CPU/RAM)to an existing machine.
TTL: Time to live time lifespan of a data
Shards: Splitted into smaller groups.Eg In Elastic search indexes are splitted into shards 1 index->5 shards
Primary/Replica: If you have m primaries and n replicas, you require m*(n+1) data nodes
CNAME:Maps a name to another name. Records in DNS used to specify a domain name is an alias for another domain name.
Cascading effect: Unforeseen chain of events due to an act affecting a system
Vertical Scaling: We scale by adding more power (CPU/RAM)to an existing machine.
TTL: Time to live time lifespan of a data
Shards: Splitted into smaller groups.Eg In Elastic search indexes are splitted into shards 1 index->5 shards
Primary/Replica: If you have m primaries and n replicas, you require m*(n+1) data nodes
CNAME:Maps a name to another name. Records in DNS used to specify a domain name is an alias for another domain name.
Cascading effect: Unforeseen chain of events due to an act affecting a system
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