Containerization
Containerization
Immutable
The problem of an application failing to run correctly when moved from one environment to another is as old as software development itself. Such problems typically arise due to differences in configurations of underlying platforms, libraries, and other dependencies.
Containers address this problem by providing a lightweight, immutable infrastructure for application packaging and deployment. An application or service, its dependencies, and its configuration are packaged together as a container image. The containerized application can be tested as a unit and deployed as a container image instance to the host operating system. This way, containers enable developers and IT professionals to deploy applications across environments with little or no modification.
Containerization
Assessment
Wallero follows the simple rule to achieve maximum results using minimum expenses. Containers – is one of the most suitable technology for now for such a case. High-skilled staff is ready to provide the best service.
Planning
- Agility: When developers build and package their applications into containers and provide them to IT services to run on a standardized platform, this reduces the overall effort to deploy applications and streamline the whole application development and test cycle. This also increases collaboration and efficiency between dev and operations teams to ship the apps faster.
- Portability: Containers provide a standardized format for packaging and holding all the components necessary to run the desired application. This solves the typical problem of “It works on my machine” and allows for portability between OS platforms and clouds. Any time a container is deployed anywhere, it executes in a consistent environment that remains unchanged from one deployment to another. You now have a consistent format, from dev box to production.
- Rapid scalability: Since containers do not have the overhead typical of VMs, including separate OS instances, many more containers can be supported on the same infrastructure. In addition, the lightweight nature of containers means they can be started and stopped quickly, unlocking rapid scale-up and scale-down scenarios.
Use
Cases
- Cloud-native applications: Wallero stands on Cloud-native applications development, which relies on containers for a standard operational model across environments, including public, private, and hybrid.
- Lift and shift: Significant benefits are available when an organization can migrate to the cloud but may not rewrite an existing application. Wallero engineers can help you potentially migrate your applications to the cloud without changing any code by using containers technology.
- Batch: Batch processing refers to activities that can be done without human intervention or done on a resource-available basis. Examples include generating reports, resizing images, and converting files from one format to another. Containers provide an easy way to run batch jobs without having to manage an environment and dependencies. For example, dynamic compute options, such as Azure Container Instances (ACI), can be used to ingest source data efficiently, process it, and place it in a durable store such as Azure Blob storage. Using such an approach instead of statically provisioned virtual machines can achieve significant cost savings through per-second billing.
- Machine learning: Machine learning applies algorithms to data and makes predictions based on patterns found in the data. Containers can make machine learning applications self-contained and easily scalable in any environment.
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