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Stop vibe-debugging.
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AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
Elastica is a highly efficient and extensible, rules-based load-balancer for JBoss that adds dynamic behavior to EJB load balancing. Rules can be defined to redirect EJB requests according to request data, server performance data, or even the time of day
The Plugin Framework for Java is a distributed Plugin framework. It will enable users to write distributed application by just writing simple Plugins. It will come with Plugin clustering, central plugin registry and load balancing.
Deploy a real distributed clustered filesystem accessible from Java applications.No single-point-of-failure. Automatic fail-over and load-balancing, peer-to-peer mode and master-slaves
Sequoia is a database clustering middleware offering load balancing and transparent failover. Databases are replicated over multiple nodes and Sequoia balances the queries between them. Sequoia supports online maintenance and recovery operations.
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Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Tomcat clustering, providing failover clustering, load balancing clustering, tomcat clustering. Including apache and tomcat web server. Need to copy and run on server.
This project constitutes an implementation of a custom-design distributed computing environment. The implementation is based on a form of Nbody simulation, which ran successfully across 33 networked-hosts.
The underlayer is a symmetric decentralized parallel computing and load balancing framework, providing c, perl and java APIs for distributed job management.
Open Streaming Server is an digital media delivery. Main characteristics are: - Streaming of mp4, 3gp, WMF, QT files - Dynamic Bandwidth adaptation - Load balancing - Content distribution Technology: C++, Java and CORBA.
distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
Secure File Transfer for Windows with Cerberus by Redwood
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An implementation of a MUD using Java and SQL. It will be fully portable to any JVM, and store the whole MUD in a relational database. Allowing for load balancing and multi server environments and plugins.
NFC is a scalable, distributed chat server and client implemented in Java. Notable features include built in load balancing and HTTP-tunneling support. Using the load balancing, a distributed network of servers can be formed, similar to an IRC network.
SOAP Message Service Handler open platform built on top of Apache Axis. Provides hot service and interceptor deployment, load balancing, monitoring and payment services. Includes also a number of modules for WS-Security, WS-Routing, ebXML MS, CPP and CPA.
Generic clustering/load-balancing platform (over a LAN or internet) using java based P2P Aorta workers that execute java "tasklets". Various tasklets can be implemented to solve fractals, process images, render webpages, crack RSA "brute force".
Software load balancer. Accepts connections and distributes them to an array of back end servers. Unique/advanced features include integrated testing of back end servers and optional termination of client connections to misfunctioning servers.
The project is a fully functional Java based IP load balancer. It has a web based admin UI to setup the configuration such as the number of real servers and their addressess, ping times to monitor the health of each of the real servers, the protocols supp
Joint is a competent middleware server that supports: load balancing, distribution, naming services, transaction handling, run-time updates, centralized logging and much more. Platform independent and open for use with any SQL database.
Maximize number of requests handled in a IT Data Center by minimizing the Power Consumption for IT Data Center and ensuring the Power Consumption of IT Data Center is within the predefined threshold Limits of both Server and IT Data Center.