What is Gardener and what are its top alternatives?
Top Alternatives to Gardener
Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more. ...
Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform. ...
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers. ...
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. ...
Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications. ...
Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). ...
Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity. ...
It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned. ...
Gardener alternatives & related posts
related Architect posts
- Easy to use102
- Open source and totally free79
- Multi-host docker-compose support62
- Load balancing and health check included58
- Rolling upgrades, green/blue upgrades feature44
- Dns and service discovery out-of-the-box42
- Only requires docker37
- Multitenant and permission management34
- Easy to use and feature rich29
- Cross cloud compatible11
- Does everything needed for a docker infrastructure11
- Simple and powerful8
- Next-gen platform8
- Very Docker-friendly7
- Support Kubernetes and Swarm6
- Application catalogs with stack templates (wizards)6
- Supports Apache Mesos, Docker Swarm, and Kubernetes6
- Rolling and blue/green upgrades deployments6
- High Availability service: keeps your app up 24/76
- Easy to use service catalog5
- Very intuitive UI4
- IaaS-vendor independent, supports hybrid/multi-cloud4
- Awesome support4
- Requires less infrastructure requirements2
- Hosting Rancher can be complicated7
related Rancher posts
- Easy scaling20
- Web UI6
- Elastic Distributed System1
- Not for long term1
- Depends on Zookeeper1
related Apache Mesos posts
Docker containers on Mesos run their microservices with consistent configurations at scale, along with Aurora for long-running services and cron jobs.
- Built in Consul integration6
- Easy setup5
- Bult-in Vault integration4
- Built-in federation support3
- Autoscaling support1
- Nice ACL1
- Managable by terraform1
- Open source1
- Multiple workload support1
- Bult-in Vault inegration1
- Easy to start with3
- HCL language for configuration, an unpopular DSL1
- Small comunity1
related Nomad posts
Our backend consists of two major pools of machines. One pool hosts the systems that run our site, manage jobs, and send notifications. These services are deployed within Docker containers orchestrated in Kubernetes. Due to Kubernetes’ ecosystem and toolchain, it was an obvious choice for our fairly statically-defined processes: the rate of change of job types or how many we may need in our internal stack is relatively low.
The other pool of machines is for running our users’ jobs. Because we cannot dynamically predict demand, what types of jobs our users need to have run, nor the resources required for each of those jobs, we found that Nomad excelled over Kubernetes in this area.
We’re also using Helm to make it easier to deploy new services into Kubernetes. We create a chart (i.e. package) for each service. This lets us easily roll back new software and gives us an audit trail of what was installed or upgraded.
- Easy to setup a HA cluster5
- Open source3
- Has templates to install via AWS and Azure2
- Easy Setup1
- Easy to get services running and operate them1
related DC/OS posts
- Batch processing with commodity machine1
related YARN Hadoop posts