An IGW is also needed to provide access to the internet. To solve this issue, a NAT Gateway can be used to translate private IP addresses to public, and vice versa. Because the subnet is private, the IP addresses assigned to the Lambda function cannot be used in public. The Lambda function we will create resides in the private subnet of our VPC. The Yahoo weather API will be used to query real-time weather data from the chatbot. Figure 1: AWS Peering Architecture Architectureįor our example, a Network Address Translation (NAT) Gateway and Internet Gateway (IGW) is needed as the Lambda function will require internet access to query data from the Yahoo weather API.
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Below is an architecture diagram of how to connect MongoDB Atlas to AWS Lambda and route traffic to the Internet. Note, VPC peering requires that both VPCs be in the same region. Instances in either VPC can communicate with each other as if they are within the same network. Traffic is routed between the VPCs using private IP addresses. MongoDB Atlas enables VPC (Virtual Private Cloud) peering, which allows you to easily create a private networking connection between your application servers and backend database. If you use an M0 cluster, allow any IP to connect to your M0 cluster and switch directly to the Set up AWS Lambda section.
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Important note: VPC Peering is not available with MongoDB Atlas free tier (M0). Register with MongoDB Atlas and use the intuitive user interface to select the instance size, region, and features you need. M60 – 64 GB RAM, 320 GB Storage, 16 vCPUs.M50 – 32 GB RAM, 160 GB Storage, 8 vCPUs.M40 – 16 GB RAM, 80 GB Storage, 4 vCPUs.The M10, M20, and M30 instances are excellent for development and testing purposes, but for production it is recommended to use instances higher than M30. The number of virtual CPUs (vCPUs) – where a vCPU is a shared physical core or one hyperthread – increases as the instance class grows larger.
Within an instance class, there is also the ability to customize storage capacity and storage speed, as well as to use encrypted storage volumes. MongoDB Atlas provides multiple size options for instances. To demonstrate the power of serverless computing and managed database as a service, I’ll use this blog post to show you how to develop a Facebook chatbot that responds to weather requests and stores the message information in MongoDB Atlas. Learn how to easily integrate an AWS Lambda Node.js function with a MongoDB database in this tutorial.
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Together, AWS Lambda and MongoDB Atlas allow developers to spend more time developing code and less time managing the infrastructure. In addition, MongoDB Atlas offers elastic scalability, either by scaling up on a range of instance sizes or scaling out with automatic sharding, all with no application downtime. Developers no longer need to worry about operational tasks such as provisioning, configuration, patching, upgrades, backups, and failure recovery. MongoDB Atlas provides all the features of the database without the heavy operational lifting. MongoDB Atlas is Hosted MongoDB as a Service. More insight into serverless computing can be found in this whitepaper.Īmazon’s serverless computing platform, AWS Lambda, lets you run code without provisioning and running servers. Serverless computing frees developers from the traditional cost and effort of building applications by automatically provisioning servers and storage, maintaining infrastructure, upgrading software, and only charging for consumed resources. While microservices have been the hot trend over the past couple of years, serverless architectures have been gaining momentum by providing a new way to build scalable, responsive and cost effective applications. In the weeks leading up to AWS re:Invent in Las Vegas this November, we'll be posting about a number of topics related to running MongoDB in the public cloud. This post is part of our Road to re:Invent series.
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