Today, enterprises are using event streaming technologies to become software companies with data-driven businesses. Integrating existing data systems and modernization efforts are key to meeting this goal. Organizations need to discover new ways to integrate applications, IoT/Edge Computing data flow, machine learning, artificial intelligence, and data science workloads.
Tanzu Data Solutions
Empower your Spring applications with the unmatched capability of Tanzu's data solutions.
Messaging and Streaming
Solution
Spring’s project portfolio includes a number of projects to support any of your messaging and streaming workflows, such as, Spring AMQP, Spring Integration and Spring Cloud Stream. RabbitMQ is a well-known reliable messaging, and now event streaming, solution for applications. Tanzu is the steward of RabbitMQ and Spring. VMware Tanzu RabbitMQ helps your high-scale, high-availability messaging and streaming requirements via rock-solid architectures. With Tanzu Platform, binding to the RabbitMQ service will automatically configure the appropriate Spring Boot properties with the right values for host, port, credentials etc with just one additional dependency on the classpath. See this for Tanzu Platform for CloudFoundry.
With Spring, you get seamless event streaming over RabbitMQ. Spring allows developers to focus on business logic without dealing with the details of the RabbitMQ infrastructure. The powerful combination of Spring and VMware Tanzu RabbitMQ allows you to create scalable and resilient message-driven architectures with ease.
Data pipeline orchestration
Challenge
With the quantity and types of data that must be processed in real time by enterprises today, enterprises are always looking to answer this question, “How do we create solutions to process this data and how do we orchestrate these solutions? Not only is the data in various forms and sizes, it also comes from a variety of sources. Furthermore, applications that receive this data could be long-running applications or ephemeral tasks that get spun up based on certain events. Once data is received, it might need to undergo a series of transformations, filtering before the data reaches its destination.
Solution
Spring Cloud Data Flow (SCDF) is an open-source toolkit that can deploy streaming and batch data pipelines on CloudFoundry. Data processing pipelines consist of Spring Boot applications, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow ideal for a range of data processing use cases, from import/export to event streaming and predictive analytics.
Spring Cloud Data Flow for VMware Tanzu is a managed service for the Tanzu Platform. It automates the deployment of SCDF and supports automatic integration with related components such as VMware Tanzu MySQL for applications, pipelines, and task history and VMware Tanzu RabbitMQ for event messaging. Together with Spring Cloud Dataflow for VMware Tanzu and VMware Tanzu RabbitMQ, you can execute data pipelines for change data capture, transformations, filtering, splitting, and more.
Integration with Relational Databases
Challenge
Relational databases are the most commonly used type of databases when it comes to storing large amounts of structured data. Every datastore has its own traits and expecting developers to know about low-level details like data service connection management, thread pooling, and configurations can reduce developer productivity.
Solution
The Spring Data family of projects includes projects such as Spring Data JDBC, Spring Data R2DBC, and Spring Data JPA which makes it easier to build applications that implement repositories for relational databases. With Spring Data, developers do not need to be experts in every aspect of application infrastructure to build production-ready applications that use popular data services.
Postgres and MySQL are the two most popular relational databases. VMware Tanzu Postgres and VMware Tanzu MySQL make it easier to run enterprise-grade deployments of Postgres and MySQL on cloud native platforms at scale. With Tanzu Platform, binding to these data services will automatically configure the appropriate Spring Boot properties with the right values for host, port, credentials etc with just one additional dependency on the classpath. See this for Tanzu Platform for CloudFoundry.
Distributed Session Management
Challenge
As organizations move to the cloud, effectively managing session state is essential to a seamless user experience. Managing session state - the ability to store and quickly retrieve the data users create as they navigate applications - is no easy feat.
Solution
Spring Session is a common abstraction for session state management. It supports many popular protocols, including HttpSession, WebSockets and WebSession. It aims to simplify session state management, so you spend less time mucking with multiple session protocols, and more time on business logic. Spring Session allows the developer to easily plug in a backing store like Redis, Gemfire and others, without making any code changes. Tanzu’s data offerings such as VMware Tanzu Gemfire and VMware Tanzu Valkey when combined with the power of Spring session enable developers to manage session data in a very resilient and highly replicated way.