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This is not possible with serverless

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發表於 2023-12-31 12:38:28 | 顯示全部樓層 |閱讀模式
Not in use it automatically shuts down until a new request triggers its invocation. Another side effect of the ephemeral nature of serverless functional environments is that long-lived connections are not feasible. This can have a huge impact especially when interacting with traditional relational databases. In a long-running server, a connection from an application to the database is established and kept alive, allowing the application to use the connection to query the database. Connection Pool Exhaustion As your application grows in size and multiple functions handle requests, each function will create a connection pool to the database. This will easily exhaust the database's connection limit. We want to solve these problems. We believe all of the above problems can be solved. Our goal is to .

Solve these problems in a way that is easy to access and use. Just as serverless allows developers to not worry so much about their infrastructure and focus on their code we want deve photo editing servies lopers to not have to worry about their data needs when working in a serverless environment. Data Brokers Our first attack on these problems comes in the form of data brokers. The goal of this product is to eliminate connection pooling problems by using a connection pooler to broker connections from to the database. This provides a proxy-based proxy that is not available in most serverless and edge runtimes. The query engine that also runs allows developers to remove potentially sizable dependencies from deployed bundled artifacts. The result is a clean way to handle connection pooling while also significantly reducing the size of a developer's.



Serverless function. Acceleration To solve some of the latency issues when deploying functionality to the edge we turned to caching. However caching is not something that is easy to set up and maintain on a global scale. That's why we build. The product is designed to allow developers to define caching policies on a per-query basis in their serverless and edge functions. This cache is automatically distributed globally across the edge network so every user can use it. Watch this episode of What's New to hear one of our engineers talk. The result is one that allows developers to eliminate long-distance network requests and serve data quickly regardless of the application's distribution. Pulse The next problem we decided to tackle was real-time data access. The infrastructure .


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