Skip to main content

Docker Container-based Custom Application Management - what business leaders should know

Docker Containers Business Leaders Need to Know

Docker Containers have become an essential element in modern, high-performance IT operations practices — particularly in the cloud computing era. This article defines what containers are and why they are important to your business, whether you are responsible for just managing a single server or running IT operations at scale.

Docker Containers Background
IT operations are responsible for managing and maintaining an efficient and reliable computing infrastructure that supports the range of computing tasks performed by a business. These tasks are facilitated through enterprise resource planning applications that support Human Resources, Finance, Customer Relationship Management, Project Management, Operations Management and Workflow, Logistics, Reporting and Analytics, and more. While these applications differ in function all share a common dependence on efficient, reliable, and responsive computing resources. These resources include an operating system, processor, RAM, storage and networking elements. Historically, these individual elements were organized and managed as physical server units, then virtual machines with the advent of virtualization technology.
Virtual Machines improved overall computing resources and IT operations efficiency through increased sharing of physical hosts and host files and libraries. This reduction in physical servers and increased utilization of host files and libraries led to a reduction in Capital and Operations Expenditure, and improvements in Developer and Customer Experience. 
Containers extend the efficiency trajectory of Virtual machines by allowing apps to run in a dramatically simplified and light-weight environment compared to physical servers and virtual machines. Containers disassociate dedicated application dependencies from shareable OS elements. These shareable elements are abstracted and packaged as single-instance, shareable resources that further improve resource utilization. 

Containers and Docker

Containers were introduced as an extension of the Linux Operating System in 2001. They are an evolution and formalization of namespace isolation and resource governance techniques used in pre-Linux Operating Systems such as Solaris Zones, Unix chroot and BSD Jails. The Docker Container specification presented a common packaging model, test and deployment model that dramatically simplified containerization and application deployment on Linux hosts. The specification was realized as Docker images that contained shared host and VM files and libraries. This evolution led to further improvement in computing resource utilization — maximizing resource sharing by eliminating VM-related overhead — and significant improvement in IT operations and application management. The result is further improvement in Capital Expenditure, Operations Expenditure, and Customer Experience. 
The benefits of Docker Containers were introduced to Windows hosting environments with Windows Server 2016. To support this initiative, Microsoft established a partnership with Docker to extend the Docker API and toolset to support containers operating on Windows Server hosts. The Microsoft extensions permit the same Docker client to manage both Linux and Windows Server containers — extending Docker utility for Windows Server while preserving the DevOps efficiencies and user experience made possible by Docker. This initiative by Microsoft created a true win-win scenario for all parties.

Why Docker Containers are Important

Docker Containers are important for small and large IT operations. To understand this, let’s review the DevOps benefits of Docker-based containers:
  1. Application performance improvements. This is enabled through the sharing a single Operating System kernel across multiple containers. The result is more efficient and granular application packaging, which in fast container startup and because the startup package is smaller and OS components are excluded from the container startup process. 
  2. Faster Provisioning. Containers are dramatically faster to provide because they are significantly lighter-weight to build and define versus Virtual Machine images, and they are provisioned via software on pre-provisioned infrastructure. 
  3. Efficient Resource Utilization. Containers are also more efficient at resource utilization than Virtual Machines with siloed OSs and OS-based resources.
  4. Simple, high availability. This is because the containers can run on the different underlying hardware. If one host goes down, traffic can be re-routed from the Edge to live application containers running elsewhere.
  5. Smooth scaling. Containers enable smooth scaling without downtime or architectural changes. Scaling is difficult with VM-centric hosting which requires rebooting, and often rearchitecting, to resize.
  6. Configuration consistency. Every container can be exactly the same. The hosting platform is a large, resource sharing matrix. Containers are provisioned automatically on identical infrastructure managed via consistent, automated tools that minimizes server sync issues.
These are direct benefits if you are responsible for managing a large IT operation. You and your DevOps team can experience them in your day to day operations. However, these benefits also apply if you are responsible for administering a single server or even a single website. This is because best of breed hosting providers such as Azure or AWS (a) have platform economics that produces lower costs for comparable, small-to-large scale server deployments, and (b) have largely adopted containers — so by utilizing one of them you indirectly experience these benefits.

Comments

Popular posts from this blog

Top 5 AI Trends Transforming Software Development in 2024

  The landscape of software development is constantly evolving, and Artificial Intelligence (AI) is at the forefront of this change. In 2024, AI is poised to have an even greater impact on the way we build software, fundamentally shifting workflows and unlocking new possibilities. Let’s explore the top 5 AI trends shaping the future of software development 1. Generative AI Revolutionizes Code Creation: What it is:  Imagine an AI that can write code based on natural language descriptions or even automatically generate entire applications. This is the promise of Generative AI, and it’s rapidly evolving. Tools like LaMDA and GitHub Copilot are already showing capabilities beyond code completion, suggesting entire functions and algorithms. Impact:  This technology has the potential to significantly increase developer productivity, allowing them to focus on higher-level design and logic rather than repetitive coding tasks. Additionally, it could democratize software development, making it m

Which should Choose my Business Custom Software or SaaS

Custom software and SaaS are both good for different reasons. For example, if your company has a specific need then you should use custom software development. However, if you have a smaller budget or want to focus on your core business then you should use SaaS. Custom software is the best option when it comes to developing a new product or service. It is also better for companies that have specific needs and can't find the right solution in an existing product. On the other hand, SaaS is more affordable than custom software because it's already been developed by someone else and can be used by any company with a small budget. Custom software development is a more expensive way to develop software. It takes time and money to create, but the benefits are that it can be tailored to the needs of your business and it can be updated quickly if needed. SaaS has a monthly fee, but it is much cheaper than custom software development. The downside is that you are stuck with the features

App trends in AI, Machine learning, Security and Policy in 2023

 App trends in AI, Machine learning, Security, and Policy  The application of AI, machine learning, and custom software development is rapidly changing the way businesses operate. With the help of these technologies, companies can now create applications that are tailored to their specific needs. This allows them to remain competitive and stay ahead of their competitors. AI, machine learning and custom software development can also help businesses in terms of security and policy. By using these technologies, companies can develop applications that are secure and compliant with existing regulations. This helps them protect their data from potential threats while ensuring that they are following all applicable laws and regulations. AI, Machine Learning, and Security are some of the hottest topics in the tech world today. With the rapid advancements in these fields, custom software development companies are now able to create applications that can provide more efficient solutions for busi