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DataStax Unveils Vector: AIOps for Apache Cassandra

DataStax 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.

“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 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.

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DataStax Unveils Vector: AIOps for Apache Cassandra

DataStax 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.

“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 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.

The Latest

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

Image
Azul

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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