Post by mittu2222 on Dec 20, 2023 1:04:44 GMT -8
To deploy their applications in more scalable and less costly ways. Serverless providers such as Vercel (with Next.js API routes) or AWS Lambda are great examples of this. However, these paradigms also come with new challenges — especially when working with data! That's why in the past months, we've increased our focus on these deployment paradigms to help developers build data-driven applications while taking advantage and reaping the benefits of serverless and edge technologies. We are tackling this from two angles: Building products that solve the new challenges that come with these ecosystems (such as Accelerate, a globally distributed database cache) Improving the experience with Prisma ORM in serverless and edge environments This article is about how we've improved one of the major issues developers face when building data-driven applications in serverless environments: Cold starts when using Prisma ORM.
The dreaded cold start One of the m photo editing servies ost frequent performance issues when working in a serverless environment is long cold starts. But what is a cold start? Unfortunately, this term carries a lot of ambiguity and is often misunderstood. Generally though, it describes the time it takes for a serverless function's environment to be instantiated and its code to be executed when the function handles its first request. While this is the basic technical explanation, there are a few specific things to keep in mind about cold starts. They are inherently unavoidable A cold start is an unavoidable reality when working in a serverless environment. The primary "win" of serverless is that your application can scale up.
To infinity when traffic increases and down to zero when not in use. Without that capability, serverless would not be... serverless! If there are no requests for some time, all running environments are shut down — which is great because that also means you incur no costs. But it also means there are no functions left to instantly respond to incoming requests. which takes a little bit of time. They have a real-world impact Cold starts do not only have technical implications, but also create real-world problems for the businesses deploying serverless functions. Providing the best experience possible for.
The dreaded cold start One of the m photo editing servies ost frequent performance issues when working in a serverless environment is long cold starts. But what is a cold start? Unfortunately, this term carries a lot of ambiguity and is often misunderstood. Generally though, it describes the time it takes for a serverless function's environment to be instantiated and its code to be executed when the function handles its first request. While this is the basic technical explanation, there are a few specific things to keep in mind about cold starts. They are inherently unavoidable A cold start is an unavoidable reality when working in a serverless environment. The primary "win" of serverless is that your application can scale up.
To infinity when traffic increases and down to zero when not in use. Without that capability, serverless would not be... serverless! If there are no requests for some time, all running environments are shut down — which is great because that also means you incur no costs. But it also means there are no functions left to instantly respond to incoming requests. which takes a little bit of time. They have a real-world impact Cold starts do not only have technical implications, but also create real-world problems for the businesses deploying serverless functions. Providing the best experience possible for.