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InfluxDB
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serverless
A repository of serverless applications showcasing how to orchestrate cloud infrastructure for varied use cases with multiple cloud infrastructure providers. (by wednesday-solutions)
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Previous Serverless Version 0.5.x
⚡ Serverless Framework – Use AWS Lambda and other managed cloud services to build apps that auto-scale, cost nothing when idle, and boast radically low maintenance.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Please clone this starter project. This comes with out of the box support for provisioning a VPC, subnets, IGWs, route tables, etc. I’d highly recommend going through the resources/config directory to get familiar with how things have been set up.
If at any point, you feel stuck, a complete example with a working CI/CD can be found here
The amazing folks at Wednesday Solutions have created a repository of example applications using the serverless framework. I’d love to get your thoughts on it and perhaps stories of how it eased/improved your development workflow.
Apache Kafka allows for asynchronous communication in a distributed ecosystem. It allows producers to publish messages on topics that are then ingested by consumers interested in those topics. As a concept, pub-sub models have been around for ages. However, the beauty of Kafka is in the how — using partitions and consumer groups, Kafka can scale the rate of consumption of messages with minimal dev and economic overhead. In this tutorial, I’ll take you through how to provision a managed Kafka cluster using the AWS Managed Stream for Kafka (MSK) service. We’ll use the serverless framework to create and maintain the infrastructure for MSK and the supporting VPCs, subnets, etc.
Apache Kafka allows for asynchronous communication in a distributed ecosystem. It allows producers to publish messages on topics that are then ingested by consumers interested in those topics. As a concept, pub-sub models have been around for ages. However, the beauty of Kafka is in the how — using partitions and consumer groups, Kafka can scale the rate of consumption of messages with minimal dev and economic overhead. In this tutorial, I’ll take you through how to provision a managed Kafka cluster using the AWS Managed Stream for Kafka (MSK) service. We’ll use the serverless framework to create and maintain the infrastructure for MSK and the supporting VPCs, subnets, etc.
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