Before we start discussing about Hybrid Orchestration capabilities at the Hybrid Cloud, another buzz word Multi-Cloud has started floating in the industry.
NIST’s definition of Hybrid Cloud is as follows “The cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability.”
The above understanding varies for different industry domains based upon their requirements and culture. For example, the following may be considered as Hybrid Cloud.
- Host databases at Bare-metal servers and associated applications at virtual machines from one data center.
- Host databases at private cloud (or data center) and associated applications from public cloud.
- Host everything at public cloud and associated legacy applications (Ex: Mainframe, ESB) from traditional data center.
- All exists at local data center and redirects increasing computing capacity to the Cloud as a hot standby (Ex: Cloud bursting).
The above disparity and combination creates more complexities in orchestrating the infrastructure components, application deployments and IT Operations.
It forces the cloud consumers to utilize vendor lock-in self-service portals to orchestrate infrastructure components. There are customers that use Oracle Enterprise Manager to provision databases and Middleware, vRealize to provision virtual machines, EMC VxRail to provision storage, AWS CloudFormation to provision virtual machines and application deployments in order to meet one business process of an application.
They also need to work on legacy application changes at traditional datacenters. The ITSM and CCB procedures become error prone, hard to monitor and truly doesn’t help the business to speed to market.
Technically, there is no one Orchestration tool to provision infrastructure components and applications into a Hybrid Cloud model.
RACKSPACE defines Multi-Cloud as “You rely on multiple cloud providers — such as AWS, Microsoft, OpenStack and VMware — for multiple applications. You may also rely on homegrown clouds, telecom clouds and other third-party clouds.”
Red Hat defines Multi-Cloud as “Multi-Cloud refers to the presence of more than 1 cloud deployment of the same type (public or private), sourced from different vendors.”
In that respect, customers are already having a Multi-Cloud deployment model for many years. Any business that uses O365, MS Azure and AWS together with their traditional data center may be considered as a Multi-Cloud architecture.
Multi-Cloud will become a necessity for many businesses in the coming years to protect their data, build their talent force, managing HA & DR, security, reduce CAPEX and other economical downtime scenarios.
The problem here is the lack of application centric focus. The software applications were developed as monolithic, stateful and are now legacy. Integrated third party services, mobile computing and demanding BI etc. makes them more complex than ever.
IMO, a Multi-Cloud is the combination of multiple public and private cloud providers that serves one business function of the user. It is obscure to build a DevOps pipeline with heterogeneous cloud providers.
We are not there yet.
Every Cloud provider provides their own mechanism for application deployment.
- AWS – Code Deploy, Elastic Beanstalk, EC2 Container Service
- MS Azure – Azure App, Visual Studio, AKS
- Google Cloud – Google Cloud SDK, Kubernetes
- Oracle Cloud – Oracle Enterprise Manager
There’s no perfect solution for Application Automation and Deployment.
Hybrid Cloud poses challenges in providing one self-service portal to orchestrate infrastructure components.
Multi-Cloud poses challenges in providing one self-service portal to orchestrate infrastructure components, deploying applications and monitoring.
Thanks to Containers
Container technologies isolate the applications from underlying operating system, patches and environment variables. The concept of ‘Build once, Run Anywhere’ makes many customers to choose Containers for their applications. There is no need to spread the OS parameters, data and applications across various Operating Systems at Multi-Cloud environment. They may be built into multiple light weight containers to orchestrate efficiently.
Kubernetes is a smart provisioning tool to orchestrate applications into the Multi-Cloud through Containers. It is time to think how to convert the very old monolithic applications into micro services, containerize and orchestrate them across multiple cloud providers. It must be done with caution and extra care.
Currently there is no notable tool in the market apart from Kubernetes to build and practice Multi-Cloud application deployment. OS based traditional application deployments are expensive and hard to manage at Multi-Cloud, even at Hybrid Cloud environment.
The recent acquisition of CoreOS by Red Hat might create an impact in the market from Container creation perspective but their OpenShift solution is nothing but Kubernetes.
IT Development and Operations has come a long way. The innovation at the Cloud and fast adoption by the IT Managers eliminated a large amount of manual processes, reduced ticketing processes, reduced procurement of hardware devices, reduced project management tasks, back and forth meetings, moreover they got the ability to launch the product as early as possible.
Multi-Cloud is another opportunity to streamline and improve the above with Kubernetes as the key tool.
That’s where Kuberiter plays a big role.
Kuberiter’s SaaS – An application centric based Jenkins, Docker & Kubernetes provisioning platform makes it easier for the businesses to build applications, containerize and orchestrate them into Multi-Cloud within minutes. The well-organized DevOps pipeline with TensorFlow based predictive analysis assists the IT Managers to avoid expensive build, deploy and orchestration errors proactively.
Please contact me if you would like to migrate to Multi-Cloud deployment model with Microservices. We will ensure that ticketing processes, complex deployment scripts, cumbersome provisioning tools will be reduced and secure the environment.
#Docker #Kubernetes #Jenkins #AI #MachineLearning #Orchestration #containers #HybridCloud #CloudComputing #kuberiter