AWS Lambda vs Lambada Framework

Overview

AWS Lambda

Stacks26.0K

Followers18.8K

Votes432

Lambada Framework

Stacks4

Followers17

Votes3

AWS Lambda vs Lambada Framework: What are the differences?

Introduction: In this comparison, we will explore the key differences between AWS Lambda and Lambada Framework.

1. Programming Language Support: AWS Lambda supports a wide variety of programming languages such as Node.js, Python, Java, and C#. In contrast, Lambada Framework is specifically tailored for Java developers, limiting the options for developers who prefer other languages.

2. Integration with APIs: AWS Lambda easily integrates with various API Gateway services to create scalable, serverless applications. On the other hand, Lambada Framework provides built-in API Gateway support without the need for additional configurations or setups, simplifying the integration process.

3. Management and Monitoring: AWS Lambda offers robust management features through AWS Management Console, CloudWatch, and X-Ray for monitoring and troubleshooting functions. In comparison, Lambada Framework lacks built-in monitoring and management tools, requiring developers to rely on third-party services for monitoring their serverless applications.

4. Vendor Lock-in: AWS Lambda is a part of the Amazon Web Services ecosystem, which may lead to vendor lock-in for organizations heavily invested in AWS services. In contrast, Lambada Framework is an open-source solution, offering more flexibility and avoiding vendor lock-in concerns for developers.

5. Resource Provisioning: AWS Lambda automatically provisions resources based on the incoming workload, optimizing resource allocation and cost efficiency. However, Lambada Framework requires manual configuration of resources, which may result in suboptimal resource allocation and potentially higher costs for developers.

6. Community Support: AWS Lambda benefits from a large and active community of developers, providing access to a wealth of resources, tutorials, and best practices. In comparison, Lambada Framework has a smaller community, limiting the availability of support and developer insights for users.

In Summary, AWS Lambda and Lambada Framework differ in terms of programming language support, API integration, management tools, vendor lock-in, resource provisioning, and community support.

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Advice on AWS Lambda, Lambada Framework

Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceon

Heroku

AWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

Developer Experience trumps everything.
AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

Pure, uncut, self hosted Kubernetes — way too much complexity
Managed Kubernetes in various flavors — still too much complexity
Zeit — Maybe, but no Docker support
Elastic Beanstalk — Maybe, bit old but does the job
Heroku
Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

Developer Experience / DX 🤓
Ops Experience / OX 🐂 (?)
Cost 💵
Lock in 🔐

Read the full post linked below for all details

357k views357k

Comments

Mark

Nov 2, 2020

Needs adviceon

Microsoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

133k views133k

Comments

Cory

Mar 28, 2021

Decided

Netlfiy Functions uses AWS Lambda under the hood, but Netlify adds some nice sugar. The biggest advantage is the local development experience with netlify-cli. This allows you to run your functions locally with local configuration or pull configs from the Netlify dashboard. I built a health-check endpoint in about 2 minutes, and my send-email function in less than an hour.

28.2k views28.2k

Comments

Detailed Comparison

AWS Lambda	Lambada Framework
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.	Lambada framework is a REST framework that implements JAX-RS API and lets you deploy your applications to AWS Lambda and API Gateway in a serverless fashion. With Lambada you can migrate the existing JAX-RS applications with a very little effort and build scalable applications without having to deal with servers.
Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model	Support for the most common JAX-RS annotations.;XML based configuration for Lambda function including VPC, custom execution role;Support for multiple stages and regions.
Statistics
Stacks 26.0K	Stacks 4
Followers 18.8K	Followers 17
Votes 432	Votes 3
Pros & Cons
Pros 129 No infrastructure 83 Cheap 70 Quick 59 Stateless 47 No deploy, no server, great sleep Cons 7 Cant execute ruby or go 3 Compute time limited 1 Can't execute PHP w/o significant effort	Pros 1 Supported by serverless framework 1 Various event sources to trigger 1 Pay only when invoked
Integrations
No integrations available	Amazon API Gateway

What are some alternatives to AWS Lambda, Lambada Framework?

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

AWS Batch

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

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AWS Lambda vs Lambada Framework: What are the differences?

Introduction: In this comparison, we will explore the key differences between AWS Lambda and Lambada Framework.

In Summary, AWS Lambda and Lambada Framework differ in terms of programming language support, API integration, management tools, vendor lock-in, resource provisioning, and community support.