Automating A Product Platform With IaC On AWS Cloud

Vietnam’s leading professional event ticketing platform tapped the power of GenAI and automation to offer an efficient customer support experience, driving a response time of seconds without increasing the team size.

About the client

A US-based high-tech product company offering a unique cloud-based data-analytics-and engagement- intelligence platform which allows content owners and distributors to optimise customer value, satisfaction and monetize great digital experiences for their users by delivering appropriate, timely, and seamless interactions across devices and markets.
Industry:
Media & Entertainment
Location:
India

Challenge

The platform was purpose-built for media data analytics. The media industry was going through a rapid change with the adoption of streaming technologies and over-the-top (OTT) services. The customer’s Analytics & Engagement platform was hosted in a virtualized environment in a US-based Data Centre and was serving customers in the US, India, Israel, etc.

Key constraints were:

  • The core of the platform was the big data engine, which was being provided as a single-tenant SaaS for some customers, and as multi-tenant SaaS for others. This meant different versions for different installs, and a continuing development cycle for each of those installs.
  • With a small core product team, the customer was not able to manage the multiple versions, releases and continuing code upgrades.
  • The Operations team was using manual (cheat sheets and version docs), for the multiple environments, so scalability/agility in deploying upgrades and accuracy were compromised, especially for larger customer environments that demanded custom offerings
  • Lacked scalability in existing production environments

Solution

CK conducted a comprehensive study of the existing environment to know its Technology Stack; Infrastructure & Application design; Security, Scalability & Performance criteria

Upon completion of the study, CK came up with the following deliverables.

  • Detailed design proposal for an Automated deployment of the infrastructure on AWS
  • Identification of automation tools – Hashicorp (Terraform & Packer) Python, etc.
  • Automated provisioning of infrastructure & application using Terraform based Infra-As-Code (IaC) templates for the automated deployment of
    • AWS account security & governance best practices and baselines (AWS GuardDuty, Config, IAM Policies, Cloud Trial, Flow Logs, etc.)
    • Network setup & isolation – VPC, Subnets, ACLs, Security Groups, etc.
      Creation of compute resources like EC2 instances, Load Balancers, RDS instances, Elastic File Systems, etc.
    • Installation and configuration of application software post infrastructure creation
    • Customizable Form-based input for the IaC templates
    • Complete redesign of Infrastructure architecture that enabled quick turnaround times in provisioning of newer environments

Success Metrics

  • A significant, observable (~50%) reduction in time taken for customizing new environments by using editable pre-deployment IaC input form
  • >70% reduction in deployment time owing to automation of CI/CD approach
  • 100% assurance on definitive and controllable costs for PoC and Dev environments by including IaC-based decommissioning of resources
  • Minimized errors on customizable, repeatable & extensible templates with industry-standard best practices

Lessons Learned:

The customer’s project sponsors were not committed to cloud, and were exploring both on-prem and cloud options for their different customers. This caused a lot of delays in finalizing a single set of automation and CI/CD tools for the platform. After initial delays, CK found the project schedules slipping, and requested customer teams to commit to an agreed set of tools

Tags: Applications Automation DevOps Infra as Code (IaC) Technology