AWS Lambda
Python

Serverless Compute

AWS in Lambda Python

Lambda is a compute service that lets you run code without provisioning or managing servers.

Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging.

Execution Model

How AWS Lambda Python Works

When Lambda invokes your function handler, the Lambda runtime passes two arguments to the function handler:

1
The Event Object
An event is a JSON-formatted document containing data to process. The Lambda runtime converts the event to a Python dictionary (or sometimes list, string, integer, float, or None) and passes it to your function.
2
The Context Object
Passed at runtime, this object provides methods and properties with details about the invocation context, function metadata, execution limits, and the runtime environment.

Use Case Guide

When should I use AWS Lambda?

Lambda is an ideal compute service for many application scenarios, as long as you can run your application code using the Lambda standard runtime environment and within the resources that Lambda provides.

Because Lambda manages these resources, you are responsible only for your code. You cannot log in to compute instances or customize the operating system on provided runtimes. Lambda manages the compute fleet that offers a balance of memory, CPU, network, and other resources to run your code.

"We Provide AWS Services, to Grow your Business"

We provide robust server integrations that will help you correctly monitor CPU utilization, resource constraints, and database queries.

We assist to implement CI/CD, Test Strategy/Test Automation, Cloud transformations, Containerization, configuration as code, infrastructure as code, device choice and integrations.

Provide AWS Services, to Grow your Business!

Features

10+ Cloud Features Overview

AWS Managed Services

Unlock cost-optimization, agility, and security with Dotphi AWS Managed Services. We maintain, patch, and monitor your workloads.

AWS Desktop Computing

Secure, managed cloud desktops for remote work. Deploy virtual environments customized to team workflows.

CI-CD Pipeline Services

Automate your software builds, tests, and deployments from scratch. DevOps pipeline setup using AWS CodePipeline.

Amazon S3 Service

Avoid security leaks and data losses. Structured configuration of buckets for highly durable object storage.

Amazon Kinesis Service

Real-time streaming data ingestion. Scale storage and processing dynamically without bottlenecking.

Cloud Management Services

Robust AWS operations set up with security guardrails and built to your specifics by certified specialists.

AWS Lambda Python

Serverless execution models. Custom script integration, event triggers, and database links without server overhead.

AWS Inspector Service

Automated vulnerability assessments. Continuously check EC2 instances and containers for security compliance.

AWS CloudTrail Setup

Track API calls and compliance. Detailed governance logs to track security events and verify access rights.

CloudWatch Metrics

Clean pre-built CloudWatch dashboards. Visual alarms to track resource usage and resolve latency issues early.

AWS Lambda Features:

Concurrency and Scaling Controls
Concurrency limits and provisioned concurrency options give you fine-grained control over the scaling and responsiveness of your production Lambda environments.
Functions as Container Images
Use your preferred container image tooling, development workflows, and package dependencies to build, test, and deploy Lambda-based applications.
Code Signing
Provides trust and integrity controls that verify only unaltered, secure code published by approved developers runs inside your Lambda execution environment.
Lambda Extensions
Easily integrate your serverless functions with external tools for monitoring, observability, runtime security, and cloud governance.
Database Access Proxy
Centrally manage a pool of database connections, relaying queries smoothly to scale concurrency without exhausting backend relational database connections.