Iaas Model using DevOps and AWS Platform Tools
Opting for DevOps tooling by AWS is a practice that helps companies reduce manual tasks, thus assisting teams in managing complex environments and keeping their engineers attention to the high velocity that comes with DevOps.
DevOps is an integration of cultural philosophies, practices, and the tools that can be used to increase a company’s delivery of services and applications. With DevOps, companies can deliver services at high velocity; hence better serving their customers and also compete in the market more effectively.
Iaas Infrastructure
IaaS or Infrastructure as a Service is one of the three fundamental bases that form the foundation of cloud computing. The other two are Software as a Service, Saas, and Platform as a Service, PaaS.
Using IaaS tools, access to computing resources is through a virtual environment. The computing resources of IaaS resemble the physical hardware that might include network connections, server space, load balance, additional bandwidth and IP addresses.
The Iaas is accessed through third party providers with hardware, software and servers. This makes them scalable and adjustable on demand. The administration is also automated together with desktop virtualization and dynamic scalability.
How it Works
Using the DevOps model, both the development and the operation teams work hand in hand and sometimes merged to one team. The engineers work across the development process and not only on a single function.
Quality assurance and security are integrated with development and operation, making security the critical factor of concern all through the application. DevSecOps is then developed where every team is concerned with the security of applications.
Unlike the traditional way of using manual yet slow processes, DevOps uses automated processes that are fast with technology stacks which evolve applications to fast and reliable ones. With these applications, engineers are able to handle the entire development task with minimum or no help from other teams.
Why DevOps
With DevOps, developers and operation teams can accomplish their tasks fast, allowing the company to serve their clients and customers more quickly, thus keeping a company competitive in the market. Innovation is also fast thanks to continuous integrations and continuous delivery that makes the software release process automatic.
The DevOps structure is reliable, with monitoring and logging practices that keep the management informed on the activities of a company in real time. With the automation and consistency of the structure, changes are monitored easily with reduced risks.
More effective and highly collaborative teams are built under the DevOps cultural model. Responsibilities are effectively shared, thus giving room for accountability among team members. The model is also secure with the use of infrastructure codes that allow compliance tracking at scale.
Using AWS Tooling for DevOps
With AWS tooling platform for DevOps, services are more flexible and reliable. The tools have fully managed services which reduce the time used for setting up and installations. AWS has cloud formulation templates that make programming easier plus automated manual task, reducing the time for development. It is also secure as much as it has an extensive partner ecosystem.
AWS Tools
Amazon Web Service has several tools that are used to handle application deployment and system’s consistency, integrity, and predictability. Different tools are applied in relation to a company’s management system. Here are 5 of the most recommended tools for development using AWS.
Chef
First launched in 2009, Chef is popular among different enterprises and is available in the hosted, private and open source version. It allows developers to manage servers, integrate applications, create clone QA environments and configure infrastructure.
Puppet
Puppet works like Chef and has two versions, the Puppet Open Source and Puppet Enterprise. Puppet Master only functions on Linux while clients can run puppet on Linux, Mac OS, and Windows.
AWS Code Deploy
Launched in 2014, this is a code deployment service with minimum downtime, central management and ability to integrate with third-party tools.
AWS Elastic Beanstalk
Best for fast and simple deployment and maintenance on AWS.
Ansible
This a young yet fast-growing development tool for management configuration.
The AWS Migration Process
This process can be summarized into five necessary steps, used by companies that have done it before.
Preparation and Planning
The first step is looking at the company’s reason for migration and the expected results. AWS partners with several companies that are experts in this area from which companies get a lot of assistance.
Portfolio Discovery
After the objectives are well outlined, the next things are to look at the company’s portfolio and the dependencies between different applications. This helps in deciding which migration strategy works best for the company.
Building a Design, Migrating
A design is then developed in line with the portfolio and the desired outputs. All applications are designed, migrated, and validated in relation to six application strategies common to the AWS.
Application
Afterwards, it is time for implementation and testing, repeating stage three until everything is set.
Operation
Finally, after everything is where it is supposed to be, the application is now made in line with the new systems, saying goodbye to the old IT infrastructure.
Adopting the DevOps Model
The primary concern of the DevOps model is getting rid of the barrier between the development and operation teams. This comes with a lot of cultural mindset changes. Some companies opt to merge the two sides such that engineers handle both development and operation of the companies systems.
Frequent communication, increased efficiency, and cooperation between the two teams are achieved in the DevOps model. The security and integration team may also merge at some point. In short, these teams take full ownership of the entire infrastructure.
In summary, DevOps practices include continuous integration, micro-services, continuous delivery, monitoring and logging, infrastructure as code, communication, and collaboration.