-
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
-
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Failure detection is now done directly by nodes pinging each other rather than through the gossip protocol. This is more reliable and the information is available more rapidly. Impact on networking is low, since Scylla implements a fully connected mesh in all clusters smaller than 256 nodes per datacenter, which is much larger than the typical cluster.
The ScyllaDB git repositories has lots of gems in it, one of them is a new project called Scylla Stress Orchestrator – https://github.com/scylladb/scylla-stress-orchestrator/ – which allows you to test Scylla with clients and monitoring using a single command line.
Another, even competing method is the cloud-formation based container client setup that allows our cloud team to reach two million requests per second in a trivial way. Check out the blog post here, and the load test demo for Scylla Cloud in Github.
Scylla’s Operator 1.2 release was published with helm charts (find it on Github; plus read our blog and the Release Notes). Now 1.3 and 1.4 are in the making. In addition, our Kubernetes deployment can autoscale! An internal demonstration using https://github.com/scylladb/scylla-cluster-autoscaler was presented and you are welcome to play with it.
Scylla’s Operator 1.2 release was published with helm charts (find it on Github; plus read our blog and the Release Notes). Now 1.3 and 1.4 are in the making. In addition, our Kubernetes deployment can autoscale! An internal demonstration using https://github.com/scylladb/scylla-cluster-autoscaler was presented and you are welcome to play with it.