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What is AWS Lambda?

Run your code without the complexities of server management and pay only for the actual compute time utilized. AWS Lambda allows you to execute your code effortlessly, eliminating the need for provisioning or handling server upkeep, and it charges you exclusively for the resources you use. With this service, you can deploy code for a variety of applications and backend services while enjoying an entirely hands-off experience. Just upload your code, and AWS Lambda takes care of all the necessary tasks to ensure it operates and scales with excellent availability. You can configure your code to be triggered automatically by various AWS services or to be invoked directly from any web or mobile app. By managing server operations for you, AWS Lambda allows you to concentrate on just writing and uploading your code. Furthermore, it dynamically adjusts to meet your application's requirements, executing your code in response to each individual trigger. Each instance of your code runs concurrently, managing triggers independently while scaling based on the demands of the workload, which guarantees that your applications can adapt seamlessly to increased traffic. This capability empowers developers to focus on innovation without the burden of infrastructure management.

What is AWS Batch?

AWS Batch offers a convenient and efficient platform for developers, scientists, and engineers to manage a large number of batch computing tasks within the AWS ecosystem. It automatically determines the optimal amount and type of computing resources, such as CPU- or memory-optimized instances, based on the specific requirements and scale of the submitted jobs. This functionality allows users to avoid the difficulties of installing or maintaining batch computing software and server infrastructure, enabling them to focus on analyzing results and solving problems. With the ability to plan, schedule, and execute batch workloads, AWS Batch utilizes the full range of AWS compute services, including AWS Fargate, Amazon EC2, and Spot Instances. Notably, AWS Batch does not impose any additional charges; users are only billed for the AWS resources they use, such as EC2 instances or Fargate tasks, to run and store their batch jobs. This smart resource allocation not only conserves time but also minimizes operational burdens for organizations, fostering greater productivity and efficiency in their computing processes. Ultimately, AWS Batch empowers users to harness cloud computing capabilities without the typical hassles of resource management.

Media

Media

Integrations Supported

AWS ParallelCluster
AWS Step Functions
BMC AMI Ops Automation for Capping
Saagie
Stonebranch
AWS Chatbot
AWS CodeStar
Amazon CloudWatch
Amazon EC2 P4 Instances
Amazon Quantum Ledger Database (QLDB)
Amazon S3
BOSCO
EagleEye
Email Parser
IBM Instana
Jit
PipeCD
Quickwork
Symantec Storage Protection

Integrations Supported

AWS ParallelCluster
AWS Step Functions
BMC AMI Ops Automation for Capping
Saagie
Stonebranch
AWS Chatbot
AWS CodeStar
Amazon CloudWatch
Amazon EC2 P4 Instances
Amazon Quantum Ledger Database (QLDB)
Amazon S3
BOSCO
EagleEye
Email Parser
IBM Instana
Jit
PipeCD
Quickwork
Symantec Storage Protection

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lambda/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/batch/

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Serverless

API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

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