Redis
Redis Labs is the home of Redis.
Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database.
Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market.
CIOs love the security and expert support of Redis, which provides 99.999% uptime.
Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set.
Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.
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Google Cloud Platform
Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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Helidon
Helidon is an open-source suite of Java libraries tailored for developing microservices, utilizing a high-performance web core that is driven by Netty. The introduction of Helidon Níma marks the first Java microservices framework that leverages virtual threads to enhance performance. With a focus on user-friendliness, Helidon offers comprehensive tooling and a variety of examples to facilitate a swift onboarding process. Since it is essentially a collection of Java libraries operating on a rapid Netty core, Helidon avoids unnecessary overhead or bloat. It fully supports MicroProfile and includes well-known APIs such as JAX-RS, CDI, and JSON-P/B. The Helidon Reactive WebServer serves as the backbone for our implementation, boasting a contemporary functional programming model that sits atop Netty. This lightweight, adaptable, and reactive web server provides an efficient and straightforward base for your microservices. In addition, Helidon comes equipped with essential features like health checks, metrics, tracing, and fault tolerance, ensuring you have all the necessary tools to build cloud-ready applications that seamlessly integrate with systems like Prometheus and Jaeger/Zipkin. Overall, Helidon's capabilities and performance make it an ideal choice for developers looking to create efficient and scalable cloud-native applications.
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Tornado Web Server
Tornado is a web framework for Python that also serves as an asynchronous networking library, initially created at FriendFeed. Utilizing non-blocking network I/O, it has the capability to manage tens of thousands of simultaneous connections, making it particularly suited for applications requiring long-lived user connections, such as long polling and WebSockets. Unlike most Python web frameworks, Tornado does not follow the WSGI standard and is primarily operated with a single thread per process. Although the tornado.wsgi module offers some WSGI compatibility, it is not the main focus of development, and developers are encouraged to utilize Tornado’s own interfaces, like tornado.web, for building applications. It is important to note that Tornado code is generally not designed to be thread-safe. Since version 5.0, Tornado has been integrated with Python's standard library asyncio module, sharing the same default event loop. This integration allows for seamless mixing of libraries that are built for asyncio with Tornado, enhancing its versatility and functionality. As a result, developers can create highly efficient applications that leverage both Tornado's strengths and asyncio's capabilities.
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