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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
Ververica Platform release 2.10.4 is now released to General Availability (GA) for all customers and interested parties.
Ververica Platform is built on Apache Flink® and combines the best of open source technologies with Ververica's proprietary enhancements, based on our expertise in powering ecommerce, real-time transactions and analytics, fraud detection, personalized recommendations, IoT applications, sentiment analysis, and more at massive scale.
This is a patch release and delivers an increment to the Flink core and incremental improvements to the platform, with a focus on ease and robustness of deployability, and interoperability in complex, real world environments.
Patch releases enable Ververica to respond rapidly to feature requests from customers already running Ververica Platform live in the field as a private cloud platform for their Flink applications.
Ververica Platform 2.10.4 supports Apache Flink® 1.16 and Apache Flink® 1.15 under SLA. Apache Flink® 1.14 is deprecated in this version and supported on a best-effort basis.
This is a quick summary of what's new. Dive into the details in the Release Notes.
The Flink SQL Version is bumped to Apache Flink® 1.16.2.
Ververica Platform supports PyFlink, which enables you to write and run Python extensions or complete applications against your platform deployment.
If your deployment environment forbids Auto-DDL, Ververica Platform now supports manual database schema updates.
Ververica Platform’s artifact management now has better existence checking and handling of the job termination state.
Autopilot is a key platform feature that provides automatic configuration of Apache Flink® deployments for optimal parallelism and high data throughput. Autopilot Logging is now included as a configuration option. Logging reports Flink metrics and the inputs and recommendations of parallelism calculations.
Significant bug fixes include Kubernetes Namespace accessibility checking.
Deprecations
VVP Kubernetes is now marked as deprecated, migration to Flink Kubernetes is recommended. Please check Kubernetes High-Availability Service for more information.
As always, for full details of all changes and for links to deployment images see the Ververica Platform 2.10.4 Release Notes.
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