“With Gartner predicting that more than 75% of global organizations will be running containerized applications in production by 2022—up from 30% in 2017—more organizations are using containers to help balance their constantly-evolving processing requirements with the resources need to manage those workloads.”
Simplify Patching. Improve Security. Optimize Cloud Compute Resources.
How does JD Edwards containerization help customers grow their businesses in a fast and efficient manner while also saving them money, time, and resources?
If your users are griping about system performance during peak processing times, your IT team is complaining about onerous maintenance, patching, and security processes, and you think your IT resources are out of whack with the needs of your growing organization, it’s time to add containerization to your firm’s IT strategy.
What is a JD Edwards Container?
Standard units of software that package computer code and its dependencies, containers allow applications to run quickly and reliably across different computing environments. To streamline application development, management, and distribution, multiple containers can be resident on a single computer’s operating system—effectively packaging and isolating the applications themselves plus the files needed to run those programs.
By allowing software to run reliably when moved from one computing environment to the next, containers can be used to:
- Move an application to the test environment from its developer’s computer.
- Migrate an application into production after its been worked on in the staging environment.
- Take an application from physical or virtual machine and out into the cloud environment.
Helping the C-Suite Sleep Better at Night
Maybe your organization is grappling with peak processing times that require more than the forecasted compute resources, or perhaps system administration is taking entirely too long to orchestrate. Containers help solve these pain points while also helping companies:
Avoid long outage times for deployment fixes, patches, and security fixes.
Quickly scale up their IT infrastructures.
Easily move their “contained” applications across different environments (e.g., development, testing, and production).
Automatically adjust the number of compute instances based on performance metrics like CPU and memory utilization.
Pivot quickly when a business has either been added or divested of.
Enable autonomous elasticity (the speed at which the IT infrastructure can be expanded or minimized without impacting the system) of servers and their associated resources.
Quickly spin up multiple instances of new software programs, and then run those programs in a way that uses the minimal amount of resources (and no more).
Let IT personnel focus on what matters most—putting out fires and tackling day-to-day responsibilities.
Leverage the power of analytics by cloning a database, taking it offline, and putting it into the hands of the people who need it.
Lightweight and less reliant on resources than virtual machines (VMs) are, containers use up to 90% fewer resources that VMs, making them a good choice for organizations that are continually pushing themselves