Choosing the Right Automation and Management Platform for Your Elastic Stack Deployment Elastic Stack Blog: Part 3

Note: This blog is Part 3 in a three-part series. If you missed either of the first two blogs, you can view Part 1 here, and Part 2 here

Many organizations have already made the move from bare metal or VMs to Kubernetes to modernize their Elastic Stack deployments. While Kubernetes may have solved some of the challenges associated with Elastic Stack deployments, there is still a need for an application automation platform that can eliminate the remaining problems encountered when running Elastic Stack on Kubernetes

The following checklist can be useful when evaluating potential application automation and solutions for your organization.

Does the proposed application automation platform provide:
An automated end-to-end cluster provisioning process for Elastic Stack, including custom stacks with different versions and combinations of Elasticsearch, Logstash, Kibana, Beats, and Kafka? 
One-click provisioning with an app store-like experience? 
Native integration between Kubernetes, storage, network, and the application management layer?  
One-click operations to provision, scale, snapshot, clone, backup, and migrate Elastic clusters? 
An open architecture to avoid Kubernetes platform vendor lock-in (e.g., Openshift, Google K8S Engine)? 
Easy portability across private and public clouds? 
The ability to run on commodity hardware? 
A way to automatically define and manage individual Kubernetes configuration objects such PVC, PV, Statefulsets, and services? 
The ability to share resources across clusters? 
Performance isolation and role-based access controls (RBAC) to consolidate multiple Elastic workloads without compromising SLAs and QoS? 
Encryption at rest, provided out of the box? 
Rack-aware placement rules for Kubernetes master and data nodes? 
Application protection (not just data protection) using snapshots? 
Application backups? 
Application portability – the ability to easily migrate applications from one cluster to another, including the cloud? 

Robin checks all of the boxes on the list above.

The application 5G automation platform combines app-aware storage, virtual networking, and application workflow automation built on industry-standard Kubernetes, enabling enterprises to deploy and manage complex, data- and network-intensive applications with an as-a-service experience anywhere, on-prem or in the cloud. Robin empowers developers, QA and security teams, DBAs, and data scientists to deploy any application pipeline from a self-service app store in minutes, without relying on infrastructure teams or IT tickets that often require weeks. 

With Robin, developers simply select desired applications, allocate resources, and within minutes are up and running. Snapshots and backups are simple as one-click, with isolation between clusters. In summary, tackles all of the hard problems encountered when running Elastic Stacks on Kubernetes, solved out of the box.

We hope you enjoyed this three-part blog on getting the most out of your Elastic Stack deployment.  If you missed any of the other blogs in the series, you can read them all at:

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