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路 3 min read
Enes Akar

What are Next.js Functions? Why are they important?#

Today, the Vercel team announced the Next.js Edge functions. Edge functions allow developers to run their code at the servers distributed globally. This means your code will be executed at the location that is closest to your user. You can think of edge functions as the serverless functions which are run at the CDN infrastructure. Edge functions have the following advantages:

  • Global low latency: Because the code is replicated to many global locations (PoP: points of presence), a user anywhere in the world will experience low latency. Each client will fetch the response from the nearest server.
  • No cold start: Edge infrastructure providers use V8 Isolates which eliminates the cold starts. This means much faster startups.

路 5 min read
Enes Akar

Upstash started its journey with a mission to be the best database option for your AWS Lambda functions. Meanwhile, we discovered another great option to build your serverless functions: Cloudflare Workers. It is an exciting product because it promises a better latency all over the world with a lower cost and no cold starts. But it has many limitations when compared to AWS Lambda. Extra limitations makes the list of database options shorter. We saw this as an opportunity to position Upstash as a great solution for the question: CF Workers are stateless. Where should I keep my data then?

路 6 min read
Mehmet Dogan

In recent years, serverless architectures and edge computing are becoming very popular for application deployments. But storing application state and the data inside a serverless and/or edge function is a different story. There are many difficulties such as; managing the connections to the database, making the data available for fast access from multiple locations etc. There are only a few database services supporting serverless access and very few of those are also suitable for edge functions. (You can read a detailed analysis here.)

At Upstash, from day one, we are providing a serverless Redis compatible database for low latency and with a per-request pricing model. Additionally we expose a first-class REST API built directly on the database. REST API removes the connection management hassle, especially when used in serverless functions, but also accessible even from restricted environments like edge locations or web browsers.

Today we are happy to announce the Global Database, which is a step further to make the database available globally, closer to the clients and edge locations for low latency reads. Global Database is available on free tier, you can try it without any cost.

路 4 min read
Enes Akar

In this article, I will compare AWS Lambda and Cloudflare Workers based on my experiences and observations during developing applications to showcase Upstash use cases.

Both are similar in that they provide a serverless runtime for developers to run their functions. But there are many differences between them and I will list them in the following categories: Performance, Pricing, Runtime and Language Support, Tools and Resources, Ecosystem and Integrations, Configurability and Limitations. I will declare a winner for each category from my point of view.

路 7 min read
Enes Akar

Serverless is great for developers who want to build an application end to end with lowest maintenance and financial cost. Serverless functions enable you to run your own code without maintaining the backend infra. But they are stateless by design so you need an external data store. So the next question is which databases are best fit for serverless? The good news is database vendors see the serverless trend and they are either launching either serverless offerings or trying to adapt their product. In this article, I will first list the things that make a database great for serverless. Then I will list the database that I personally think to be candidates to be the great database for Serverless.

路 4 min read
Enes Akar

We built a sample application which compares the performance of leading serverless databases using a common web use case and serverless functions. The databases are DynamoDB, MongoDB (Atlas), Firestore, Cassandra (Datastax Astra), FaunaDB and Redis (Upstash)

路 2 min read
Enes Akar

AWS Lambda pioneered serverless space. Many developers think that serverless is the future of development. It gives you the true pay-per-use model, relieves you from the maintenance and scaling of the backend infrastructure. But it also comes with challenges. One of those is its statelessness. You need to keep the state in an external data store. Unfortunately most of the popular data stores are connection based. But as we explained in this post, managing connections can become painful in serverless. That鈥檚 why, we have developed a high performance REST API on top of Upstash Redis. In this blog post, I will implement a very basic stateful api (page counter) on AWS Lambda and Upstash Redis using the REST API.

路 2 min read
Noah Fischer

Announcing Upstash Terraform Provider#

We are thrilled to announce that now our Upstash Terraform Provider is publicly available. Our core principle is always being developer friendly. We have announced REST Api recently. Now it is time to expand our tools with the terraform provider plugin.

Terraform is a useful automation tool that lets you define your infrastructure as code. Collaboration becomes crazy easy in this way and every configuration change is persisted so everybody knows what is going on at the infrastructure.

After community requests, we have developed our terraform provider and now it is publicly available in the terraform marketplace.

路 2 min read
Enes Akar

Upstash supports the REST API in addition to the native Redis API. REST API helps developers to access their Redis without connection issues from serverless and edge functions. But if you execute multiple Redis commands in the same function then this means you will make a call to the database multiple times. One of our community members (@MasterGates) came with a great suggestion in our Discord channel. Pipeline API:

pipeline api