Alternatives to Crossplane logo

Alternatives to Crossplane

Terraform, CloudBolt, Nutanix Beam, and Komiser are the most popular alternatives and competitors to Crossplane.
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What is Crossplane and what are its top alternatives?

Crossplane introduces workload and resource abstractions on-top of existing managed services that enables a high degree of workload portability across cloud providers. A single crossplane enables the provisioning and full-lifecycle management of services and infrastructure across a wide range of providers, offerings, vendors, regions, and clusters.
Crossplane is a tool in the Multi Cloud Management category of a tech stack.
Crossplane is an open source tool with 2.7K GitHub stars and 256 GitHub forks. Here’s a link to Crossplane's open source repository on GitHub

Top Alternatives to Crossplane

  • Terraform

    Terraform

    With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel. ...

  • CloudBolt

    CloudBolt

    Deploys in minutes. Simple to use. Easy to extend. Centralize workload automation and orchestration, achieve unparalleled hybrid cloud visibility and cost-savings, and deliver self-service IT for your developers. ...

  • Nutanix Beam

    Nutanix Beam

    It delivers savings for public and private clouds. Drive financial accountability with intelligent resource sizing and accurate visibility into cloud metering and chargeback. ...

  • Komiser

    Komiser

    Stay under budget by uncovering hidden costs, monitoring increases in spend, and making impactful changes based on custom recommendations. ...

Crossplane alternatives & related posts

Terraform logo

Terraform

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Describe your complete infrastructure as code and build resources across providers
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related Terraform posts

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

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Praveen Mooli
Engineering Manager at Taylor and Francis · | 13 upvotes · 1.5M views

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

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CloudBolt logo

CloudBolt

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Enterprise Hybrid Cloud Management Platform
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PROS OF CLOUDBOLT
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    CONS OF CLOUDBOLT
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      Nutanix Beam logo

      Nutanix Beam

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      Multi-cloud management platform
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      PROS OF NUTANIX BEAM
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        CONS OF NUTANIX BEAM
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          Komiser logo

          Komiser

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          Cloud Environment Inspector
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          PROS OF KOMISER
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            CONS OF KOMISER
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