Gaurav Singh

Hitachi Storage Plugin For Containers

Blog Post created by Gaurav Singh on Nov 3, 2017

Deployment Trends

Deployment Trends for application as changed from Days ->Minutes ->Seconds. Application deployment has become faster and faster as we move from application deployment on Physical ->Virtual Machine -> Containers.

Driving Factors for Containers

  • Density and Performance

Physical machine improves the performance but decrease the application density. Virtual machine improves the application density but on the cost of performance.

  • License and Cost

VMware and Microsoft licenses are expensive.

  • Shift to DevOps

Industry is moving toward infrastructure as code were resources like server, storage or network are just Rest API URL.

  • Cloud Native Application

The next generation application is designed to be cloud ready. These applications move across multi cloud or hybrid cloud.

  • Faster Deployment

Low foot print of operating system and templet based approach is enabling application to be deployed faster and at scale.

 

Containers vs VM’s vs BareMetal

 

Containers Virtual MachineBare Metal

Underline Platform

OS on Virtual Machine or Bare-Metal x86 Server

Hypervisor on Bare-Metal x86 Server

N/A

Performance: Speed & Consistency

Average

Average

Fastest

Provisioning Time

Seconds

Minutes

Hours

Tenant Isolation Enforcement

OS Kernel

Hypervisor

Physical

Ideal Application Type

Mode2

Mode 1 or Mode 2

Mode 1 or Mode2

Configuration & Reconfiguration Flexibility

Highest

Medium

Lowest

Host Consolidation Density

Maximum

Average

None

Application Portability

Application Packaging/Manifest

VM Image/VM Migration

Backup and Restore, ISO Image

Granularity

Extremely Small

Average

Largest

 

Common Containers Use Case

  • Simplified Configuration

Microservices breaks the monolithic application in to smaller configurable units that are easy to manage.

  • Developer Productivity

With continuous feedback loop develops can improve the quality of code.

  • Server Consolidation

Small footprint of containers improves the server density

  • Debug capability

Production environment can be replicated easily to debug.

  • Rapid Deployment

Small foot print combined with templet(docker file)of containers enables them to be deployed and redeployed rapidly.

 

Persistent Storage need

In a modern three tier application. Web and Application containers are stateless.  When host that have Web and application docker container is shut down then container orchestration engine (docker swarm, kubernets ) will move these containers to new host without effecting the Web and application configuration

 

DataBase containers is stateful that means the tables/rows is saved in storage attached to the container. When host that have database docker container is shut down then container orchestration engine (docker swarm, kubernetes) will move it to new host. Database container will restart fine but will lose data(tables/rows).

 

Hitachi Storage Plug-in for Containers (HSPC)

 

Using this plugin, DevOps and IT professionals who need persistent data for containers can now control their volumes using the Docker APIs and command line. Now you can build, ship, and run with persistent data anywhere:

  • Create hundreds of copies of production data in minutes for sandboxes used for dev, QA, & staging
  • Instantly import legacy volumes to Docker volumes when containerizing legacy applications
  • Ensure business continuity with snapshot and disaster recovery
  • Provide more out of your premium storage with predictive analysis of container volume
  • Minimize operation complexity with Remote management and auto configuration of container volume and plug-in

 

 

 

 

 

Plug-in Utilization

 

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