DevOps Implementation Services

Tap the untapped DevOps potential with effective tools

In the exponentially-growing IT industry, being in line with changing trends and rapidly-transforming consumer behavior have been the major challenges for IT firms, globally.DevOps StrategyIn the process, IT solutions that enhance organizational capabilities for high-paced product development, faster delivery of applications and services, and timely marketing of products and services, among others remain to be the need of the hour for every firm to gain a competitive edge.
And, DevOps appears as a one-stop solution for all the aforementioned requirements!

As an amalgamation of cultural practices and tools that enhance functional abilities, the DevOps model unifies two different development and operational teams across the entire application lifecycle while ensuring quality and security.

Data Insights: DevOps Services and Business Impact

Global DevOps Market Forecast (2017-23)

  • USD 9.41 billion by 2023
  • 18.7% CAGR


Expected CAGR of DevOps Platform market during 2018-22


Of organizations have already implemented DevOps as of 2018


Faster lead time for changes with DevOps principles


Minimized time on unplanned work and rework with DevOps practices


Strong DevOps culture across multiple teams within a department


Deployment frequency of firms with DevOps compared to those without


Frequency of faster recovery from failure and minimized downtime with DevOps


DevOps Challenges, Strategy and Implementation

DevOps Challenges, Strategy and ImplementationAddressing the miscommunication that existed among Development (Dev), Quality Assurance (QA) and Operations (Ops), DevOps adoption brought in a collaborative approach wherein the processes are automated result in faster implementation.

For this, DevOps teams use technology stack and tooling functionalities to operate and manage applications under DevOps implementation. These tools help them in fulfilling tasks such as code deployment and infrastructure provisioning, among others.

The DevOps implementation strategy is basically built on six basic factors which include Speed, Rapid Delivery, Reliability, Scale, Improved Collaboration and Security.

  • Speed: A faster innovation and speedy execution is key to customer satisfaction and to stay ahead in the competition. DevOps model ensures this through a Continuous Delivery
  • Rapid Delivery: DevOps implementation involves very frequent delivery cycles (which could be small updates) and a minimum recovery time (in case of any failure) through Continuous Integration practice, thus allowing further and faster innovation.
  • Reliability: Continuous integration and continuous delivery practices of DevOps ensure functional, safe and quality output, resulting in a positive end-user experience. Overall, DevOps ensures the productivity of developers and reliability of operations.
  • Scale: Operating and management of infrastructure and developmental processes are key to DevOps. Infrastructure as a code practice helps in efficient management of all stages of software product lifecycle (development, testing and production).
  • Improved Collaboration: DevOps methodology is built on a cultural philosophy that has development and operations working in a collaborative environment, which reduces multiple iterations, inefficiency and time complexity.
  • Security: DevOps model achieves this factor through configuration management techniques and automated compliance policies. Infrastructure as code and policy as code are two key DevOps practices. Besides, there is also the concept of DevSecOps, a new integration to address the security challenges in DevOps implementation.

Six Aspects That Decide DevOps Success

Key to DevOps SuccessDevOps practices ensure faster and reliable product updates ensuring a customer-friendly approach. Through a round of development and operational cycles, DevOps turns out to be a customer-friendly approach and the following practices made that possible:

  1. Continuous Integration: Continuous integration involves merging of code changes into a central repository following which automated builds and testing are performed. Through this practice, DevOps promises early recovery from failures, quality assurance and a less turn-around time before the product is released.
  2. Continuous Delivery: As an extension to continuous integration, continuous delivery takes forward all the code changes to testing or production phases, finally resulting in a deployment-ready structure that passed through a standardized testing process.
  3. Microservices: This involves breaking up of a single service into multiple components, each of which run independently while communicating among each other through a well-defined interface like HTTP-based API. Though these services operate independently, they can also be deployed as separate entities or a single large service.
  4. Infrastructure as a Code: This refers to usage and management of infrastructure programmatically through code and development techniques instead of manual set up and physical configuration. Using this practice, DevOps engineers manage with infrastructure and servers through code-based tools, thus ensuring timely updates and versions.
  5. Configuration Management: In DevOps methodology, operating system and host configuration are managed through code. Usage of code for configuration purposes deals away with the need of managing operating systems, server software or system applications manually, thus easing the configuration management process.
  6. Policy as a Code: Codification of infrastructure and its relevant configurations with the cloud helps firms monitor, track, validate and reconfigure infrastructure in an automated procedure. In a cloud environment, this allows organizations to control resources while monitoring their security and ensuring compliance with their standards.

DevOps Performance Metrics

Overall, DevOps practices ensure faster product release and drive innovation while dealing away with complexities in collaboration among teams, ensuring security, automating manual tasks and managing complex environments.

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