How does the service works

We were in the cloud before it was called the cloud. Our DevOps staff builds, automates, secures, and maintains your AWS, Google Cloud, and Azure infrastructure hosting your cloud servers and serverless resources. Your organization benefits from decades of knowledge and experience, with a much quicker on-boarding time. Our DevOps staff works closely with your software engineering and operations staff to make and keep your systems robust, secure, and trouble-free, your customers happy, and your developers productive.

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KDInfotech has been providing DevOps and Cloud Infrastructure Services for decades. Developing and deploying diversified cloud infrastructures for reputed organizations and corporates has enabled us to build credibility in this domain and the entitlement of single-source IT partners. Having DevOps engineers well versed in the field and equipped with a vast network and infrastructural resources always builds sustainable, adequate infrastructures.

Furthermore, expanding our expertise to recent advancements in this sphere, engineers and related teams have grown their proficiencies over multiple platforms, including AWS, Azure, and Google Cloud, further helping to host cloud servers and serverless resources.

Our DevOps engineers stay collaborated and updated with software engineering and operations teams to ensure that the deployed systems are always robust, secure, and trouble-free, keeping the corporates to carry out daily functionalities without delays and interruptions.

DevOps Services

AWS, Azure, and Google Cloud

Expanded deployment abilities over multiple cloud platforms. Further delivering automated and self-sustaining infrastructures on all major cloud platforms.

Continuous Integration

Intending to improve developer productivity, we regularly emphasize the practice of Continuous Integration. Through this, the developers can submit their codes in a central repository using renowned tools and frameworks, including Jenkins, Gitlab, Circle CI, Bitbucket Pipelines, Travis, and ArgoCD, to improve the software quality and find bugs in the processes. On topmost priority, we can assure quality assurance.


KDInfotech always emphasizes and focuses on readily developed solutions, leading to selecting the best and optimized containerization solution for your business, following agile methods, and deploying solutions easily and quickly. To deploy your software rapidly and effectively, we make use of best-in-class tools like Kubernetes and Docker.

Process Automation

We employ procedures to automate the tasks resulting in efficient deliverables. We utilize technological stacks and toolings that facilitate applications' speedy and dependable operations and evolutions. Utilizing tools like Chef, Ansible, Jenkins, and Docker to automate repetitive processes eliminate human error and enhance cloud architecture.

Why Us?

Improvised Speed

Our improvised speed and deployment efforts always ensure timely deployments and deliveries, enabling the customers to launch updates and deployments of their products.


In order to combat potential threats in the emerging IT world, it is essential to ensure network security and protection. We offer IT security services to ensure the stability and protection of compromised data of clients. Our services can deliver the most assured and protected IT security by assessing the vulnerabilities to provide full-end support.

Rapid Delivery

We consistently follow rapid delivery practices ensuring the companies roll out recent updates and advancements in products and deployments.


Our teams are always available 24/7 to ensure runtime support and strategize for preventive measures to prevent server crashes. By physically combining the tasks and workflows of development and operations, collaboration is established through the use of DevOps technologies and automation of the software delivery process.

Case Studies

Energy Startup

  • Initial AWS Dev and Production setup for new startup
  • Migrate and consolidate DNS
  • Implement CI/CD using Bitbucket Pipelines
  • Complete Dockerized workflow and deployments
  • Data science Machine Learning application using AWS Lambda and Elastic Container Service Fargate
  • AWS Aurora database setup
  • 100% Terraform and Ansible Infrastructure-as-code

Biotech client

  • AWS administration for data science machine learning application with dozens of AWS accounts, hundreds of VMs, and custom workflow engine
  • Buildkite and Bazel administration for 15GB+ monorepo and complex build system
  • R-based data science workflow with rstudio-connect setup and administration
  • Custom JIRA/Confluence setup

Another Biotech Client

  • EKS and Kubernetes setup