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Ververica was tasked with providing a solution to support Airbus, a leading aircraft manufacturer, in deploying their Apache Flink® jobs at scale.
Booking.com, a leading travel ecosystem serving both partners and travelers, faced challenges with processing security data
FinTech Studios leverages Ververica Platform to ingest millions of research, news and regulatory sources in real-time
One Mount Group set up a Platform-as-a-Service offering for Apache Flink to enable the company’s tech team to deploy and manage Flink applications
XM Cyber utilizes its Apache Flink® (Flink) applications to ensure unlimited scaling for customers, in real-time, regardless of data volumes
Humn.ai uses Ververica Platform and Apache Flink to build a Machine Learning-based platform producing dynamic risk assessment models
Over 100,000 lessons per day! How does VIPKID solve the problem of online education real-time live broadcast interaction?
Learn how Weibo uses Apache Flink and Ververica Platform to unify offline and online data processing and run Machine Learning pipelines at scale.
Ververica was tasked with providing a solution to support Airbus, a leading aircraft manufacturer, in deploying their Apache Flink® jobs at scale.
Booking.com, a leading travel ecosystem serving both partners and travelers, faced challenges with processing security data
FinTech Studios leverages Ververica Platform to ingest millions of research, news and regulatory sources in real-time
One Mount Group set up a Platform-as-a-Service offering for Apache Flink to enable the company’s tech team to deploy and manage Flink applications
The Ververica Platform 2.13.1 release is here! We're excited to share the latest changes with you.
Full details can be found in the 2.13.1 release notes.
Ververica Platform 2.13.1 supports Apache Flink® 1.19, Apache Flink 1.18, and Apache Flink 1.17 under SLA.
We’re excited to introduce JSON Schema for pre-validating YAML files in CR Deployments and Kubernetes Operator configurations. This enhancement ensures YAML configurations are reliable and correct by enforcing proper structure, required fields, data types, and value constraints.
Benefit from:
We’ve addressed our generic error messaging to provide detailed information for the user. Get detailed descriptions of incorrect parameters and highlight specific discrepancies between the provided and expected values. This allows for comprehensive tracking and easier troubleshooting.
Audit logs are now even more descriptive! Get insights into detailed information on activity changes, notably when states change.
Fixing bugs is an integral part of our release cycle! The following bugs have been exterminated:
And as always, we are stamping out vulnerabilities to ensure your deployments remain secure. To get a full list of the resolved vulnerabilities, check out the 2.13.1 release notes.
If you are an existing customer, you already know where to find platform images and archives – seeVerverica Platform 2.13.1 Release Notes for all links and complete details of all changes in this release.
If you are new to the platform, the Ververica Platform Downloads page has everything you need to know.
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