DataStax today
announced the private beta of Vector,
an AIOps service for Apache Cassandra. Vector continually assesses the behavior
of a Cassandra cluster to provide developers and operators with automated
diagnostics and advice, helping them be consistently successful with Cassandra
and DataStax Enterprise (DSE) clusters.
Vector provides
recommendations with detailed background knowledge and offers multiple ways to
fix a problem. With Vector, developers and operators can resolve issues
quickly, while gaining a deeper understanding of how clusters are performing.
To see Vector in
action, watch the demo and
sign up for the latest updates of the private beta program through this interest form.
"Our enterprises
requested a service like Vector because, as a community, we know it takes a
high level of skill to be consistently successful with Cassandra," said
DataStax chief product officer Ed Anuff. "Our goal is to provide an AIOps
service to proactively monitor the health of clusters to help developers and
operators be more productive and effective with Cassandra."
Vector is built
upon a decade of expert guidance and learnings. The beta release uses reactive
learnings to offer proactive advice. With this embedded knowledge base, Vector
is able to analyze individual nodes, compare behavior to other nodes in the
cluster, and serve up recommendations, such as: Cassandra and operating system
configuration, schema design, and Cassandra performance and query techniques.
"Vector is a very
good service, which helps not only identify the issues, but also provides the
suggestions and recommendations along with the solutions. This will be a great
help to the Developer/Application team," said Bidhu Das, senior lead database
domain architect at Cisco.
"DataStax
Enterprise enables us to build highly scalable cloud-native applications as an
industrial IoT platform and bring them to any cloud with ease," says Shinichiro
Matsunaga, manager, iQuattro at NTT DATA Corporation. "Vector promises to
optimize our DevOps workflows considerably, enabling our team to build better
data-driven applications in less time and with less friction-all while
leveraging cutting-edge technologies and open source tools to delight our
users."
Vector features:
- Automated
expert advice - Proactively identifies current and potential issues
to help developers and operators solve problems quickly. Automated advice
provides contextual learning with background knowledge to build skills.
- Continuous
updates - Rules and advice are continuously updated,
deployed to SaaS and on-premises applications, and automatically applied
to clusters.
- Hands-off
management - Advanced visualizations of system usage with
insightful charting to understand tables, keyspaces, and nodes. Vector
helps developers and operators see and understand how the cluster is performing
and its configuration without having to log into Cassandra nodes.
- Cassandra
skills development - Helps strengthen Cassandra
skills and knowledge by providing detailed advice and recommendations.
Vector helps to reduce unexpected and unplanned items so experts can spend
more time innovating.
"Vector is an
industry first for Cassandra with its automated advice, continuous updates, and
hands-off management. By working closely with our enterprises in the beta
program and acquiring actionable feedback, we will continue to advance Vector's
features to improve Cassandra management and operations," concluded Anuff.