AWS Lambda Deploy

AWS Lambda Deploy Alternatives

Weighing your options? Checkout these 19 alternatives that could help you accomplish your goal.

• Google App Engine

  Google App Engine is a cloud platform offered by Google, enabling developers to build and deploy scalable web applications without managing underlying infrastructure. It streamlines the development process with automated resource allocation and global reach.

• Google Cloud Storage

  Google Cloud Storage (or GCS for short) is a powerful, cost effective and object-oriented way to store any amount of data.. Data is stored as an "object" - an immutable unit that can consist of any file. Objects are stored in buckets which are then connected to projects (which can be organized even further into organizations).

• Google Cloud Compute Engine

  Google Compute Engine (or GCE for short) allows developers to easily create a virtual machines. This leads to easy scaling of cost and performace. You can literally run thousands of of virtual machines that offer a stable and equal computing power for your development process.

• Firebase

  Firebase is a mobile and web app development platform created by Google. In essence, it is a real-time database where the data appears as JSON files, which allows for changes in real-time that greatly enhances developing cross-platform applications.

• Google Cloud Functions Deploy

  Google Functions allow you to run your code in a cloud. Simply deploy your code and Functions will run and scale it automatically for you. Thanks to this solution you can skip the tedious parts of development like server management or constant OS updates. Additionally you can cut costs by paying only for the computing power you actually use.

• Google Cloud Functions Trigger

  Google Functions allow you to run your code in a cloud. Simply deploy your code and Functions will run and scale it automatically for you. Thanks to this solution you can skip the tedious parts of development like server management or constant OS updates. Additionally you can cut costs by paying only for the computing power you actually use.

• Google CDN

  Google Command-line interface (or Google CLI for short) is used to manage authentication, configuration and interaction with other services that are part of Google Cloud Suite. Giving an easy access to common GC operations like creating a virtual machine instance for Compute Engine or K8s cluster configuration.

• Google Cloud CLI

  Google Cloud Platform (or GCP for short) is a bundle of cloud computing services running on Google infrastructure. Apart from a wide range of management tools, GCR provides a number of computing, storage, analytics and machine learning services. Currently GCR lists over 90 products.

• Google Cloud Run

  Google Cloud Run is a computing platform that allows you to run stateless containers without the need of any infrastructure management.

• AWS CLI

  Amazon Web Services can be managed using the AWS management console or through the APIs. There is another method, however, Amazon Web Services Command Line Interface (or AWS CLI for short). AWS CLI allows you can use Linux shells, Windows PowerShell or ES2 instances straight from your terminal.

• AWS CLI version 2

  Amazon Web Services can be managed using the AWS management console or through the APIs. There is another method, however, Amazon Web Services Command Line Interface (or AWS CLI for short). Second version of AWS CLI adds a series of new features and mechanisms.

• AWS ECS

  Amazon Elastic Container Services (or Amazon ECS for short) is a scalable container manager designed to support Docker containers. As a part of Amazon Web Services, ECS allows you to run your apps on EC2 managed cluster. Thanks to this solution you can use those containers as bulding blocks for your apps without the need of setting up your own cluster management infrastructure.

• Amazon S3

  Amazon Single Storage Service (or AWS S3 for short) is, simply put, a cloud storage. Part of Amazon Web Services, S3 offers a scalable object storage infrastructure with high availability, very low latency and over 99% SLA (Service-level Agreement) durability.

• CloudFormation

  CloudFormation is a simple, yet powerful, feature for managing your Amazon Web Services resources. Thanks to CloudFormation you can easily create templates that describe, in detail, the resource distribution - that way you don't have to set up each of the AWS platform individually.

• CloudFront

  Amazon CloudFront is a content delivery network (CDN for short) and a part of Amazon Web Services suite. CloudFront delivers various data, apps and APIs with a very low latency and superior speed. As a part of AWS, CloudFront easily integrates with other tools in the suite.

• AWS CodeDeploy

  AWS CodeDeploy is a part of the AWS suite aimed at making DevOps' lives easier. CodeDeloy manages deployments to EC2 or on-premise instances eliminating downtime almost entirely. CodeDeploy uploads your code as a complete set of dependencies, packages, and other necessary artifacts from your local machine to GitHub, BitBucket or S3 bucket.

• AWS Elastic Beanstalk

  Amazon Web Services Elastic Beanstalk (or AWS EB for short) is an orchestration platform that helps teams automatically scale resources needed for your deployed applications. AWS EB supports a wide array of languages like Java, PHP, .NET or Ruby. You can manage your EB deployments using the EB console. AWS CLI or a CLI designed specifically for Elastic Beanstalk called simply: eb.

• AWS Elastic Beanstalk Monitoring

  Amazon Web Services Elastic Beanstalk (or AWS EB for short) is an orchestration platform that helps teams automatically scale resources needed for your deployed applications. AWS EB supports a wide array of languages like Java, PHP, .NET or Ruby. You can manage your EB deployments using the EB console. AWS CLI or a CLI designed specifically for Elastic Beanstalk called simply: eb.

• AWS Lambda Invoke

  AWS Lambda is a computing platform that allows users to run their code without the need of having your own servers. This service runs the code only when prompted to do so and scales automatically so you only pay for the total time spent on actual code computing. AWS Lambda supports .Net, Go, Java, Ruby, Python and Node.js.