Audience
Companies searching for a fault-tolerant stream processing engine solution
About Apache Heron
Heron is built with a wide array of architectural improvements that contribute to high-efficiency gains. Heron is API compatible with Apache Storm and hence no code change is required for migration. Easily debug and identify the issues in topologies, allowing faster iteration during development. Heron UI gives a visual overview of each topology to visualize hot spot locations and detailed counters for tracking progress and troubleshooting. Heron is highly scalable both in the ability to execute large number of components for each topology and the ability to launch and track large numbers of topologies.
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Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use. An Apache Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial.
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Tokalabs
Software Defined Labs reduces costs and improves efficiency for engineering teams including QA/DevTest, Software Development, Support/TAC and Technical Marketing and Performance. Sandboxes, whether they are designed to be test beds for feature, system, performance, interop or regression testing or they are replications of customer topologies for debugging, can be easily constructed and shared across teams and among team members. The Tokalabs SDL solution includes a Software-Defined fabric that eliminates the need for physical rewiring and enables teams to create an exponential number of topologies are created, managed, and used for testing, debugging, recreation, and regression. Resources are also easily shared in software.
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ManageEngine OpManager
OpManager is a network management tool geared to monitor your entire network. Ensure all devices operate at peak health, performance, and availability. The extensive network monitoring capabilities lets you track performance of switches, routers, LANs, WLCs, IP addresses, and firewalls.
Monitor the finer aspects of your network:
Hardware monitoring enables CPU, memory, and disk monitoring, for efficient. performance of all devices.
Perform seamless faults and alerts management with real-time notifications and detailed logs for quick issue detection and resolution.
Achieve network automation, with workflows enabling automated diagnostics and troubleshooting actions.
Advanced network visualization-including business views, topology maps, heat maps, and customizable dashboards give admins an at-a-glance view of network status.
250+ pre-built reports covering metrics like device performance, network usage, uptime, facilitate capacity planning and improved decision-making.
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Spring Cloud Data Flow
Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.
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Integrations
No integrations listed.
Company Information
Apache Software Foundation
Founded: 1999
United States
heron.incubator.apache.org
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