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12 posts tagged with "Version"

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· 6 min read

Apache InLong recently released version 1.10.0, which closed about 200+ issues, including 6+ major features and 30+ optimizations. The main features include Manager supporting viewing operation logs, supporting Group migration between clusters, Agent supporting periodic collection and task supplementation, Sort real-time synchronization supporting Transform, supporting MySQL to Iceberg whole database synchronization, and supporting automatic table creation. After the release of 1.10.0, Apache InLong has enriched and optimized Agent function scenarios, added the ability of whole database synchronization and automatic table creation, supported viewing operation logs, solved the demand for quick troubleshooting in development and operation, and optimized the user experience of Apache InLong operation and maintenance.

· 9 min read

Apache InLong recently released version 1.9.0, which closed about 200+ issues, including 2+ major features and 30+ optimizations. The main improvements include building observability capabilities and optimizing DataProxySDK-CPP. After the release of version 1.9.0, Apache InLong has enhanced its observability capabilities in areas such as end-to-end tracing, metric collection, access and visualization, and alerting. This addresses the need for rapid problem diagnosis and performance optimization during development and operations, improving the user experience for Apache InLong's operation and maintenance.

· 8 min read

Apache InLong recently released version 1.8.0, which closed about 190+ issues, including 6+ major features and 30+ optimizations. The main improvements include multi-tenant management, support for multiple Apache Flink versions, data synchronization in Dashboard, data preview support, and optimization of ultra-long log processing logic. After the release of 1.8.0, Apache InLong has completed the layout of full-scenario data integration around data access, data synchronization, and data subscription, combined with multi-tenant management, multi-cluster management, approval flow management, and full-link audit/metrics.

· 8 min read

Apache InLong recently released version 1.7.0, which closed about 150+ issues, including 3+ major features and 40+ optimizations. The main features include support for sending data directly to Kafka, MySQL all-database migration with schema change support, GH-OST awareness for MySQL all-database migration, the addition of 4 batch import modes (CSV, SQL, JSON, and Excel), simplification of command line tool for creating data stream configurations, and refactoring of the Dashboard layout.

· 8 min read

Apache InLong recently released version 1.6.0, which closed about 202+ issues, including 11+ major features and 80+ optimizations. Mainly completed the addition of Kudu data stream, improvement of Redis data stream, the addition of MQ cache cluster selector strategy, optimization of Audit ID allocation rules, the addition of data node connection testing, optimization of Sort Audit reconciliation benchmark time, and expansion of Audit support for using Kafka to cache audit data.

· 6 min read

Apache InLong recently released version 1.5.0, which closed about 296+ issues, including 12+ major features and 110+ optimizations. Mainly completed the addition of StarRocks, Hudi, Doris, Elasticsearch, and other sinks, optimization of the Dashboard experience, refactor the MQ management model, support dirty data processing, full-link Apache Kafka support, and TubeMQ C++/Python SDK support for production, etc.

· 4 min read

Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong offers great power to build data analysis, modeling and other real-time applications based on streaming data.

· 4 min read

Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.

· 4 min read

Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.

· 5 min read

Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.