Retailer resolves infrastructure scaling problem using DevOps

5 Minutes Read


A leading fashion establishment wanted to contain their infrastructure scaling problem during peak times and off season. They needed a solution that optimized their infrastructure needs such as server provisioning, configuration management, automated builds, code deployments and monitoring.

The goal was to optimize infrastructure scaling and management without human intervention.


  1. Code complexities: As complexities related to code and environment increase, infrastructure teams will need to maintain CI systems effectively.
  2. Iterative approach to software development: This requires frequent deployment of codes and immediate testing of results.
  3. Cost Control: Optimize the operating costs during DevOps infrastructure implementation.


Using DevOps approach to software development and testing, the client was able to optimize the CI/CD process for a quick time to market of their applications. Our expertise in DevOps tools for various continuous integration/deployment environments facilitates for creating the stable infrastructure. It provides the ability to create environments like Redis, Nat, My SQL, MONGO DB and Jenkins.

The client also leveraged our Artificial Intelligence Driven Infrastructure platform for continuous monitoring of their Cloud infrastructure and allowed for the real-time recommendations for right sizing their cloud infrastructure for peak events. This effectively optimized and lowered their cloud billing costs.

DevOps has the inherent features and functionalities like Reliability, Usability, Efficiency, Maintainability and Portability. This effectively helped the client to automate certain processes involved in the CI/CD and orchestration of applications.

We helped the client achieve DevOps infrastructure automation by repackaging platforms, systems, and applications into reusable building blocks through the use of technologies such as virtual machines and containerization.

Our capabilities in DevOps toolsets can be categorized in to the following.

  1. Infrastructure as Code: Terraform, Ansible, Chef, Puppet, etc.
  2. Continuous Integration/Deployment: Jenkins, Docker, Kubernetes, etc.
  3. Configuration Management: Consul, Vault etc.
  4. Monitoring: Prometheus, Splunk, New Relic etc.

Our DevOps implementation approach helped the client to:

  1. Identify areas where automation can be implemented for environment provisioning
  2. Automate application deployment and migration across environments
  3. Ensure control points are implemented in release management tools
  4. Plug the security gaps in the process through checkpoints like authorization by project leads and release managers.
  5. Setting up automated deployment processes with Kubernetes
  6. Automated development environments with Docker
  7. Capacity planning, Container orchestration with Kubernetes
  8. Scalability and performance tuning


The client was able to optimize their infrastructure scaling and management issues for continuous integration/deployment through automation of certain processes using DevOps. Through our Artificial Intelligence Driven Infrastructure platform they were able to effectively reduce the manual intervention but also ensure security and throughput in the deployment of various microservices in their processes.


Kloud9 help retailers build an ecosystem on Data Science, Machine Learning and Cloud. Kloud9 provides a full suite of cloud services along with Data Science & AI capabilities. Retailers depend on us for customized cloud Re-engineering services and AI to accelerate their performance with retail science. As your trusted advisors in transformation we are determined to build a deep partnership along the way.

For more information on how Kloud9 can help solve your business problems, write to

Kloud9 gives you the insight into what your business needs and requires

Kloud9 gives you the insight into what your business needs and requires