Accelerating Decision-Making for a Global HealthTech Provider
Challenge
The client whom we will call GlacierPeak is a global medical technology and digital solutions innovator, enabling clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications, and services.
When the pandemic outbreak hit, GlacierPeak’s digital transformation process was accelerated by implementing an agile culture, work and organizational philosophy based on collaboration, and iterative processes oriented to providing quality solutions to serve changing customer needs.
They were looking to build a highly available, scalable, resilient data analytics platform for their various teams based in Europe and the US. The platform must be fault-tolerant, secure, and compliant with the company and industry standards.
They also saw an opportunity to invest in infrastructure automation to eliminate manual process-related errors and scale the applications to equip them for future on-demand growth to manage changes in real-time. At the same time, to address problems caused by monolithic applications, they wanted to leverage containers to build a microservices architecture for faster automation, scalability, availability, and fault tolerance.
Our Approach
Working with GlacierPeak, our team first focused on learning more about their existing needs and operating processes. Our goal was to replace as many repetitive tasks as possible through DevOps and by building continuous integration and continuous delivery (CI/CD) workflows to deploy Amazon Web Service (AWS) cloud components, which can automate the entire lifestyle of the infrastructure deployment.
We identified automation opportunities and created a complete roadmap with a business case illustrating the potential economic impact.
Once the identified processes were approved, we seamlessly synchronized the implementation of systems software configuration/patching automation pipelines to adhere to the firm’s compliance and security controls.
To enable GlacierPeak to enhance security access permissions for the AWS Simple Storage Service (S3) buckets – the object storage built to store and retrieve any data from anywhere - we implemented the auto-remediation of public access using AWS Lambda with Amazon config and CloudWatch events. Integration with Prisma Cloud further complemented cloud governance, compliance, and security.
The team continued to focus on continuous innovation and improving existing processes while exploring new trends and solutions. We implemented a tool called New Relic for infrastructure and application monitoring for GlacierPeak.
Transformational Effects
Within a few months, through automated IAC (infrastructure as a code), GlacierPeak’s teams were able to manage the entire cloud Infrastructure and systems configuration and deploy various platform environments across geographies. The CI/CD pipelines that we built using GitHub, Jenkins, and Terraform to provision the infrastructure, now eliminate manual, error-prone creation of cloud resources within minutes instead of hours and achieve repeatable infrastructure provision.
Our decision to implement specific management tools like Azure Bastion to run containers prompted GlacierPeak to adopt more suitable tools and services for the new container framework. They also saw significant operational excellence through automated system patches, cloud resource monitoring, and automated ticket assignments to their platform in case of threshold and metrics deviations.
Perhaps, the most notable outcome of Trianz engagement has been the overall security through organization and department segmentation with multi-factor authentication using GE OneIDM Single Sign On (SSO) for least privilege access for developers using distribution lists. As all the tools were integrated with GE OneIDM SSO, the firm could manage security access using Lightweight Directory Access Protocol (LDAP) groups.
Automation also reduced costs and improved efficiency by auto-scaling groups and network implementations to handle spikes in traffic and snapshots, as well as leverage advanced metering infrastructure (AMI) to tackle immediate deployment or disaster recovery issues.
Now, as a more efficient organization, GlacierPeak can engage its application teams to educate them on the cost analysis using reports extracted from AWS offerings like Trusted Advisor and Cost Reports/Explorer. Additionally, they can leverage chargeback by tagging resources with specific tags by team or project and use confluence pages to record the findings and action items. We also trained their teams on the usage patterns and downsizing AWS resources for potential cost savings.
Today, GlacierPeak is focused on accelerating its search for new ways to better serve customers, with a focus on continuous improvement.
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