Application Dockerizing
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and deploy it as one package.
Let us provide you with application scalability, advanced tools for team collaboration management. We will assist in creating a process of streamlined development by:
- Making sure developers do what they do best, development.
- Getting code from Git/Bitbucket/Github
- Consolidate code
- Build code
- And deploy in the desired environments
Why Dockerizing your Applications
Agile methodology can be very messy. The Idea of using the agile methodology is in the mind of every project lead. The idea is to deliver the project in short intervals and promptly. Agile comes with more interaction, and frequent implementations. All these regular implementations require rigorous management.
Frequent:
- Meetings
- Agreements
- System requirement changes
- Code Changes
- Database changes
- Code merging
- System builds
- Testing
- Deployments
Dockerizing of applications comes with great benefits while resolving a list of common problems. Dockerizing makes it possible to divide and manage your applications in different environments, for example:
On Development Environment, you can:
- Associate development agreements with the expected upcoming deployment versions
- Version development activities based on expected deployments
- Have clear picture of what is expected on the upcoming deployment
- Can keep track of what is (to be) contained in different deployment versions
- Link database structure changes to deployment versions
- Keeping track of code merges associated with versions of deployment
- Especially if their system errors needing attention
- Or there is a need for back code trailing
On System Building Environment:
- Linking builds with deployment versions
- Set time for system builds and associated deployment versions
- Track broken system builds based on deployed versions
- Note succeeded/destroyed builds based on versioned deployments
On Testing Environment:
- Version test-cases and test-results based on deployment versions
- Pre-determine testing activities based on deployment versions
- Prepare testing software based on deployment versions
- Track/record/match testing results with deployment versions
- Deploy different versions of an application for testing and comparison
- Allow testers to create/destroy their own container versions for thorough testing
- Allow testers to capture/update/delete testing data as they will, for systematic testing, without distracting other testers
- Allow harsh scenario testing
- Switching between versions without destroying other application versions
- Do user testing and user-manual drafts
On QA Environment:
- Taking Control of picking which deployment versions are fit to-be in QA environment
- Associate client requirements with the deployments
- Compare late request changes with the deployed version
- Pick the best deployment version to present to the client
- Test for smooth deployments
- Test scaling using containers as nodes during Dry-run
- Create a cluster using containers acting out as hosts (with different IP addresses and host names) (Dry-run)
- Rolling-up/down of the deployments (Dry-run)
- Creating system rollout history (Dry-run)
- Test data streaming/replication/merging if using more than one database
- Pick the best deployment version for production
On Production Environment:
- Deploy versions in agreed phases
- Deploy versions based on geographical locations
- Go Live on agreed versions
- Go Live with a certain deployment version based on user training or resource availability
- Resource limitations
- More security on pods, pods-services and containers
- Network policies specially designed for deployed application
- Encrypted communication between pods, services and data sources
- Integration of applications, developed in different languages or using different databases