The power of in-sprint automation

Automation

The power of in-sprint automation

A large securities firm sped up time-to-market with end-to-end test automation on the cloud.

Client

A leading securities trading firm

Goal

Build a cloud-based automation framework to test client’s trading platform

Tools and technologies

C#, Ranorex, TestRail, Simulators and Selenium.

BUSINESS CHALLENGE

The client had a legacy trading platform that had grown and evolved over time. The platform consisted of a stack of 33 applications, built on a variety of technologies and architectures.

Testing new features and additions was proving to be a big challenge. A simple change in one feature would warrant a verification of the complete application. To ensure that any change does not affect other functionality, the client needed to do extensive regression testing and verification.

This was a cumbersome process with over 20,000 or 30,000 test cases being checked and executed manually. The trading firm had to deploy over 20 people to carry out this exercise. The client had tried to automate the testing process with a variety of tools but was not able to get the efficiencies it wanted.

In addition, the client had multiple squads working on different apps, functionality and features. Each squad used its own automation suite. It was becoming a challenge to co-ordinate the work of the different squads and ensure that changes made by a squad did not impact the overall functionality of the platform. Iris’s brief was to design and deploy a common cloud-based test automation framework for the client’s trading platform to ensure that it could launch new features faster.

SOLUTION

Using its cloud-based ready-to-deploy test automation framework, Iris sped up the deployment of new features for the client’s trading platform. The cloud solution, based on Amazon Web Services (AWS), featured continuous testing of multiple products on a common framework layer. It allowed for complete capacity planning of spinned cloud instances and need-based shutdowns.

Iris executed the project using acceptance test driven development (ATDD), a methodology that involves collaboration between customers, business teams and development teams. The teams jointly created the user stories and put down the acceptance criteria for any feature or functionality. Then tests were designed within the common framework to check if the feature met the acceptance criteria.

What was unique about the approach? Typically, automation is introduced towards the end of a development cycle. You would find that, in most projects, developers bring in automation in Sprint 4 for features developed in Sprint 1, 2 and 3. As a result, return on investment isn’t maximized. Our team introduced ‘in-sprint’ automation, enabling 90% test automation with every sprint. This resulted in more efficient and faster testing, and cost savings for the client.

OUTCOMES

Client’s deployment speed improved significantly with 90% faster execution to each sprint cycle and 80% faster script development.

The cloud-based solution is 100% configurable for on-demand execution on AWS, which reduced the client’s cloud infrastructure costs by 70%.

The new ability for complete capacity planning through the use of infrastructure-as-code (IaC) for spinning up cloud instances helped the client achieve end-to-end (E2E) automation of regression/ functional test cases.

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Gain speed to market with DevOps solutions

Wealth Management

Gain speed to market with DevOps solutions

A wealth management firm moved from a legacy application environment to a microservices ecosystem. The switch cut production time and expedited the roll-out of releases.

Client

The client is a leading wealth management firm in the U.S.

Goal

DevOps strategy to shorten production timelines and speed time-to-market.

Tools and technologies

JIRA, Jenkins, GitHub, AWS, ECR, Docker, EKS and Helm.

BUSINESS CHALLENGE

The client used multiple legacy applications with a highly complex codebase to run its operations. As a result, it had long production lifecycles and spent several person-hours in integration and deployment.

On the technology front, the client faced challenges in the way server-side applications were defined, stored and managed. Its IT team also had to manage the deployment of multiple Kubernetes manifest files.

SOLUTION

Iris recommended that the client move to a microservices ecosystem. Here’s how we deployed the solution:

  • We defined an enterprise-level DevOps strategy using Helm
  • Identified the scope of apps that needed to be on-boarded across the enterprise
  • Implemented a DevOps pipeline for microservices on the Kubernetes cluster
  • Deployed the infrastructure, dependencies and applications with Kubernetes using Helm
  • Delivered continuous improvement through Helm release updates and rollbacks

OUTCOMES

The DevOps pipeline significantly improved time-to-market new releases.

  • 20x faster release cycle
  • 40% improvement in quality with end-to-end traceability
  • 15x improvement in the mean time to deployment (MTTD)

The Iris team also put in place robust security control and validation processes; and provided for auditable release requests.

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The power of in-sprint automation

A large securities firm speeds up time-to-market with end-to-end test automation on the cloud.

Learn more

Cloud-native app opens new markets

A leading bonds trading network revamps its IT architecture to increase market reach.

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Our experts can help you find the right solutions to meet your needs.

Get in touch
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