Run code when you want without the expense and hassle of managing servers with AWS Lambda. Lambda runs code functions for nearly any backend service or application you need. Using the platform to run and scale code frees you from administrative duties and lets you focus on your project.
Use Lambda to create the perfect environment to run code. This serverless platform lets you customize code execution by managing memory and enabling Provisioned Concurrency.
Provisioned Concurrency lets you keep functions primed to respond. Reducing response time improves the performance of interactive services, such as synchronous APIs and mobile and web backends.
Lambda includes native support for Python, Java, Ruby, Go, PowerShell, Node.js, and Ruby. A provided Runtime API lets you use additional languages. Perform coding separately and upload it to Lambda or code directly into Lambda's code editor.
Working with Lambda lets code scale by responding to triggers. By running code in parallel while processing triggers individually, the scaling will naturally match the workload.
Running code on Lambda removes the responsibility of server maintenance. Dealing with server maintenance takes time and money. Using a serverless system increases the efficiency of your team.
Lambda stores code in Amazon Simple Storage Service and provides encryption services while idle. Lambda has integrity checks to keep your code safe while it is in use.
Most functions run using Lambda, but a few types of activities are unavailable. Inbound network connections and some outbound connections are blocked as well as debugging system calls. As a spam protection feature, traffic from TCP port 25 is not allowed.
AWS Lambda monitors functions automatically and provides metrics in real-time. Using Amazon CloudWatch or Lambda's console, you can view total requests, latency, concurrency usage, throttled requests, and error rates. Third-party monitoring APIs are also permitted.