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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Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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AsyncAPI
AsyncAPI is a community-driven project aimed at enhancing the landscape of Event-Driven Architecture (EDA). Our vision is to simplify the process of working with EDAs to the same level of ease as interacting with REST APIs. This encompasses various aspects, including documentation, code generation, event discovery, management, and much more. The AsyncAPI Specification establishes a universal, protocol-independent framework that outlines message-based or event-driven APIs. By utilizing the AsyncAPI document, both individuals and machines can grasp the functions of an event-driven API without needing to delve into the source code, access documentation, or analyze network traffic. This specification enables the definition of API structures and formats, along with the channels available for end users to subscribe to and the message formats they will receive. Furthermore, you have the ability to develop, validate, and transform your AsyncAPI document to the most current version, or preview it in a more user-friendly format through the AsyncAPI Studio, making the entire process more intuitive and accessible. Ultimately, our mission is to foster a more cohesive and efficient experience in the realm of event-driven interactions.
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Starlette
Starlette features an application class known as Starlette, which effectively integrates all its various functionalities. It utilizes a predefined list of middleware that executes with each incoming request. Notably, a Starlette application inherently incorporates two middleware classes: ServerErrorMiddleware, which serves as the outermost layer to catch any uncaught errors that may arise throughout the entire processing stack, and ExceptionMiddleware, positioned as the innermost layer to manage exceptions that are handled within the routing or endpoint logic. Both startup and shutdown handler callables are designed not to accept any parameters and can be implemented as either standard or asynchronous functions, allowing for flexibility in deployment. This structure ensures that developers can maintain robust error handling and lifecycle management within their applications.
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