Client Overview
The client is a healthcare data analytics company specializing in AI-driven solutions to revolutionize patient care and life sciences. Their cloud-based platform integrates vast amounts of real-time and historical patient data to create detailed medical and behavioral profiles. By leveraging its Medically Smart AI platform, the company curates data from multiple sources, providing actionable insights for healthcare providers, life sciences organizations, and pharmaceutical companies.
The Business Challenge
The client is looking for a cloud solution that enables infrastructure audit trails, supports a HIPAA-compliant cloud infrastructure, addresses security concerns related to sensitive protected PHI, and ensures cost-effective deployment. The following challenges were identified:
- High memory utilization on AWS EC2 instances
- Increased RDS disk utilization due to data growth
- End of support for CentOS 7 by AWS
- Deprecation of Amazon RDS T2 database instances
Technology Components
Amazon GuardDuty, Amazon Inspector, AWS WAF, AWS Certificate Manager, AWS Shield, AWS IAM, AWS Security Hub, Key Management Service, Redshift, Amazon Connect, Lex, Pinpoint, Amazon VPC, Amazon EC2, Amazon EC2 autoscaling, Elastic Load Balancing, Amazon s3, Amazon EBS, Amazon Route53, Amazon CloudFront, Amazon CloudWatch, Amazon CloudTrail, AWS Config, AWS CloudFormation, Amazon RDS, AWS Lambda.
The Approach
Trianz leveraged Concierto to manage the client’s end-to-end AWS cloud infrastructure, focusing on the following:
- Implemented swap memory to handle high memory usage on EC2 instances.
- Scheduled data archiving every three months to optimize disk space usage.
- Migrated servers from CentOS 7 to CentOS 9 for enhanced stability and security.
- Upgraded to T3 instances for improved performance and cost efficiency.
- Gained expertise in seamless end-to-end migration, ensuring minimal downtime.
- Enhanced skills in managing memory utilization on EC2 instances using swap memory.
- Developed proficiency in data archiving, optimizing RDS disk space through regular automated processes.
The following solution approach was implemented across respective areas as part of the overall strategy:
Cloud Governance
- Enhanced Monitoring & Compliance – Implemented real-time AWS server monitoring with automated compliance validation against industry best practices. Deployed custom rule-based alerts to immediately identify resource health issues and policy violations through centralized dashboards.
- Automated Governance & Cost Optimization – Executed systematic health checks using tag-based governance rules across the infrastructure. Applied automated corrective actions such as instance right-sizing and idle resource termination, resulting in significant cost reduction while mitigating risks effectively.
- Streamlined AWS Instance Management – Seamless AWS integration enabled efficient tagging and segregation of servers (prod/non-prod), providing structured organization and rapid access to detailed instance information.
- Proactive Maintenance & Patch Automation – Configured tag-driven automated patch deployment workflows with environment-specific maintenance windows. Scheduled recurring health checks that reduced server management time to minutes while maintaining high compliance rates across all environments.
Monitoring and Observability
- Integration with Datadog
- Concierto integrates with Datadog using SAML-based authentication for secure access and streamlined monitoring.
- Custom threshold limits are defined within Datadog to proactively track cloud service performance.
- Event rules and incident rules are configured in Concierto to receive alerts from Datadog.
- Comprehensive Cloud Service Monitoring
- EC2 Instances – CPU, memory, and disk usage are tracked to monitor resource utilization and prevent performance bottlenecks.
- Load Balancer Target Groups – Continuously validated target group health, ensuring traffic is routed only to fully operational instances.
- RDS (Relational Database Service) – Monitored the CPU, memory, and disk usage to optimize database performance and prevent capacity issues.
- Automated Alerting & Incident Management
- When a threshold breach occurs, Datadog triggers an alert to Concierto.
- Concierto automatically generates a ticket for issue tracking and resolution, ensuring rapid remediation.
- Incident details are logged and prioritized within the platform, enabling efficient resolution workflows and reducing downtime.
Operations Management
- End-to-End IT Ops Standardization – Concierto streamlined IT operations across the entire lifecycle—from deployment to decommissioning—ensuring consistency in provisioning, request management, incident handling, and patching.
- Automated Incident Management & AI Integration – AI-driven automation enabled first-level incident analysis, optimizing ticket categorization, prioritization, and routing, reducing manual intervention and response time.
- Cost Optimization & Runbook Automation – Concierto provided clear visibility into cloud costs, allowing the client to analyze expenses at the application, resource, and infrastructure levels. Runbook automations triggered predefined actions for proactive issue resolution.
- SLA Compliance & Reporting – Automated SLA tracking and reporting ensured transparency and accountability, helping the client meet service level agreements efficiently and improve overall IT service performance.
- Incident Correlation & Root Cause Analysis – The platform identified patterns across incidents, enabling faster root cause analysis and reducing recurring issues.
Cloud Financial Management
- AWS Account Onboarding & Cost Optimization
- AWS accounts are added to Concierto using Access Keys and Secret Keys.
- Once onboarded, Concierto analyzes server utilization trends over recent days to identify inefficiencies.
- The platform provides intelligent cost optimization recommendations, including:
- Rightsizing instances based on actual usage patterns to reduce over-provisioning.
- Suggesting alternative AWS services that offer better performance at lower costs.
- Integration with Datadog for Monitoring
- Concierto integrated with Datadog for real-time performance monitoring and automated remediation.
- When Datadog detects threshold breaches, alerts are instantly relayed to Concierto.
- Concierto automated the incident response by logging tickets and triggering remediation workflows—eliminating manual intervention.
- This proactive approach ensured cost-effective cloud management while maintaining proactive monitoring and incident resolution.
Transformational Effects
- End-to-End IT Ops Standardization – Concierto streamlined IT operations across the entire lifecycle—from deployment to decommissioning—ensuring consistency in provisioning, request management, incident handling, and patching.
- Automated Incident Management & AI Integration – AI-driven automation enabled first-level incident analysis, optimizing ticket categorization, prioritization, and routing, reducing manual intervention and response time.
- Cost Optimization & Runbook Automation – Concierto provided clear visibility into cloud costs, allowing the client to analyze expenses at the application, resource, and infrastructure levels. Runbook automations triggered predefined actions for proactive issue resolution.
- SLA Compliance & Reporting – Automated SLA tracking and reporting ensured transparency and accountability, helping the client meet service level agreements efficiently and improve overall IT service performance.
- Incident Correlation & Root Cause Analysis – The platform identified patterns across incidents, enabling faster root cause analysis and reducing recurring issues.
Cloud Financial Management
- AWS Account Onboarding & Cost Optimization
- AWS accounts are added to Concierto using Access Keys and Secret Keys.
- Once onboarded, Concierto analyzes server utilization trends over recent days to identify inefficiencies.
- The platform provides intelligent cost optimization recommendations, including:
- Rightsizing instances based on actual usage patterns to reduce over-provisioning.
- Suggesting alternative AWS services that offer better performance at lower costs.
- Integration with Datadog for Monitoring
- Concierto integrated with Datadog for real-time performance monitoring and automated remediation.
- When Datadog detects threshold breaches, alerts are instantly relayed to Concierto.
- Concierto automated the incident response by logging tickets and triggering remediation workflows—eliminating manual intervention.
- This proactive approach ensured cost-effective cloud management while maintaining proactive monitoring and incident resolution.
Transformational Effects
- AWS Account Onboarding & Cost Optimization
- AWS accounts are added to Concierto using Access Keys and Secret Keys.
- Once onboarded, Concierto analyzes server utilization trends over recent days to identify inefficiencies.
- The platform provides intelligent cost optimization recommendations, including:
- Rightsizing instances based on actual usage patterns to reduce over-provisioning.
- Suggesting alternative AWS services that offer better performance at lower costs.
- Integration with Datadog for Monitoring
- Concierto integrated with Datadog for real-time performance monitoring and automated remediation.
- When Datadog detects threshold breaches, alerts are instantly relayed to Concierto.
- Concierto automated the incident response by logging tickets and triggering remediation workflows—eliminating manual intervention.
- This proactive approach ensured cost-effective cloud management while maintaining proactive monitoring and incident resolution.
Transformational Effects
The client realized significant improvements in cloud operations and cost efficiency through Concierto’s automation-driven approach
- Leveraging Concierto’s prebuilt automation libraries eliminated the need for custom automation development, accelerating deployment while reducing engineering effort.
- Substantial cost savings achieved by rightsizing the instances based on actual usage and Datadog integration for performance monitoring and automated remediation.
- Improved first-time resolution rates by 20%, minimizing service disruptions and enhancing overall operational effectiveness.
- Enabled full-cycle automation within Concierto, driving a 10% reduction in incidents through proactive issue detection and remediation.
- Delivered 24/7 proactive monitoring and intelligent support, reducing mean time to resolution (MTTR) and ensuring seamless cloud operations.
By successfully allocating resources between an on-shore/off-shore team of Level-1 Cloud Operations Engineers, a Systems Engineer, a Senior Systems Engineer, and a Solutions Architect. Trianz managed services team provided the cost-effective IT support arm to monitor, maintain, and manage client’ IT infrastructure for rapid issue response.
During the 24/7 management and maintenance of the AWS infrastructure, client experienced zero downtime and 100% availability, better enabling the HealthTech company to focus on providing earlier diagnosis, better treatment outcomes, and improving the quality of life for patients through advanced analytics.
Published: 2025-03-13
