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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Architect vs Gardener

Architect vs Gardener

OverviewComparisonAlternatives

Overview

Gardener
Gardener
Stacks16
Followers41
Votes2
GitHub Stars3.3K
Forks540
Architect
Architect
Stacks36
Followers87
Votes0

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Detailed Comparison

Gardener
Gardener
Architect
Architect

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.

Central dashboard for comfortable interaction - enables users to easily keep track of their clusters’ health, and operators to monitor, debug, and analyze the clusters they are responsible for; Command line client - simplifies administrative tasks by introducing easy higher-level abstractions with simple commands that allow to condense and multiplex information & actions from/to a set of seed and shoot clusters
Version control your architecture and create cloud infra in minutes from an .arc manifest; Deploy in seconds with first class support for staging and production; Work locally while completely offline with a speedy in-memory database; Primitives not Frameworks; define app architecture agnostic of vendor arcana
Statistics
GitHub Stars
3.3K
GitHub Stars
-
GitHub Forks
540
GitHub Forks
-
Stacks
16
Stacks
36
Followers
41
Followers
87
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    It works across clouds and on-prem
No community feedback yet
Integrations
Kubernetes
Kubernetes
Amazon DynamoDB
Amazon DynamoDB
Amazon SQS
Amazon SQS
Amazon CloudWatch
Amazon CloudWatch
AWS Lambda
AWS Lambda
Amazon Route 53
Amazon Route 53
Amazon S3
Amazon S3
Amazon API Gateway
Amazon API Gateway
Amazon SNS
Amazon SNS

What are some alternatives to Gardener, Architect?

AWS Lambda

AWS Lambda

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.

Azure Functions

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

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.

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

Serverless

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

Google Cloud Functions

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

Knative

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

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

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