KO TECHNOLOGIES
AWS CLOUD & DEVOPS SERVICES - AWS MIGRATION FROM DATA CENTER TO CLOUD
For Doccla, a leading remote patient monitoring platform that integrates with the NHS, the goal was a secure and automated migration from a data center to the cloud. KO Technologies delivered a comprehensive AWS Cloud & DevOps Services solution focused on hosting a new telemetry aggregation system. We delivered a fully automated, immutable infrastructure using EC2, RDS, and Datadog for observability, along with support for Azure services, establishing a high-performance, secure, and world-class digital platform for patient monitoring.
Official Partner
The Client
Doccla is a world-class leading remote patient monitoring platform that integrates with the NHS to serve their clients. The company’s turnover is approximately £5 Million per annum.
Name
Doccla
Turnover
£5 Million per annum
Location
United Kingdom
Challenges
- Securely host a new, critical telemetry aggregation system on AWS.
- Implement full automation for platform deployments, including Azure AKS clusters.
- Establish robust end-to-end observability across the new cloud environment.
- Modernize the hosting of legacy systems, including EMIS servers and the System 1 application, within a hybrid Azure/AWS cloud model.
Solutions
- Automated AWS Implementation
Provided a fully automated deployment of secure EC2 Linux servers, RDS databases, and Rabbit MQ messaging services.
- Security and Observability
Implemented an AWS WAF for enhanced front-end security and a Datadog integration to establish full-stack observability.
- DevOps & CI/CD
Provided DevOps Advisory services to establish a Platform Team capability and implemented GitHub pipelines for robust CI/CD.
- Azure Integration
Deployed EMIS servers on a standalone machine and created Azure Virtual Desktops to securely expose the System 1 application.
Results
Speed to innovations is vastly reduced by delivering a modern migration to AWS.
Teams collaborate seamlessly with the unified Tools and enhanced Devops Techniques.
Modern scalable infrastructure, rather than static and operational burdened servers.
Enhance Observability with Datadog – increasing service levels and lowering time to identify problems.
Tools Used
- AWS
- EC2
- RDS
- RABBITMQ
- WAF
- DATADOG
- GITHUB
- AZURE
- VIRTUAL
- DESKTOPS
- AZURE
- MONITORS
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