
Over six months, Sadi Omowo engineered robust cloud infrastructure and deployment automation across several Companies House repositories, including file-validation-api and your-companies-web. Sadi delivered features such as automated S3 data persistence via IAM task roles, production-ready Terraform configurations, and ECS auto-scaling enhancements, focusing on reliability and scalability. Using Terraform and AWS, Sadi standardized environment variables, centralized secret management, and optimized ECS resource allocation, reducing manual intervention and deployment risk. The work demonstrated depth in DevOps practices, secure IAM design, and infrastructure as code, resulting in more predictable deployments, improved data handling, and consistent scaling behavior across live and staging environments.

September 2025 (2025-09) — Key feature delivered: ECS Auto-scaling capacity enhancements for the core web service at companieshouse/your-companies-web, enabling increased ECS task capacity and faster auto-scaling responsiveness in live and staging environments. This included adjusting desired/min/max task counts and introducing a target CPU utilization policy to align capacity with demand. Major bugs fixed: none reported this month. Overall impact: improved scalability and reliability under peak loads, reduced manual intervention for capacity planning, and more predictable performance across environments. Technologies/skills demonstrated: AWS ECS scaling policies, task definition tuning, CPU-based autoscaling, environment parity between live and staging, and Git-based release management.
September 2025 (2025-09) — Key feature delivered: ECS Auto-scaling capacity enhancements for the core web service at companieshouse/your-companies-web, enabling increased ECS task capacity and faster auto-scaling responsiveness in live and staging environments. This included adjusting desired/min/max task counts and introducing a target CPU utilization policy to align capacity with demand. Major bugs fixed: none reported this month. Overall impact: improved scalability and reliability under peak loads, reduced manual intervention for capacity planning, and more predictable performance across environments. Technologies/skills demonstrated: AWS ECS scaling policies, task definition tuning, CPU-based autoscaling, environment parity between live and staging, and Git-based release management.
April 2025 monthly summary focusing on key features delivered and reliability improvements across the notification services. Highlights include API gateway routing standardization for notification endpoints and a health-check routing priority fix to improve ECS reliability. These changes enhance endpoint consistency, traffic routing reliability, and support operational observability through traceable commits.
April 2025 monthly summary focusing on key features delivered and reliability improvements across the notification services. Highlights include API gateway routing standardization for notification endpoints and a health-check routing priority fix to improve ECS reliability. These changes enhance endpoint consistency, traffic routing reliability, and support operational observability through traceable commits.
March 2025 monthly summary for companieshouse/chs-notification-kafka-consumer: Delivered two feature updates focusing on security and reliability: Centralized VPC Secret Management and Traffic Routing Enhancement via LB listener priority. These changes improve security posture, reduce secret management fragmentation, and enhance routing determinism for the notification service.
March 2025 monthly summary for companieshouse/chs-notification-kafka-consumer: Delivered two feature updates focusing on security and reliability: Centralized VPC Secret Management and Traffic Routing Enhancement via LB listener priority. These changes improve security posture, reduce secret management fragmentation, and enhance routing determinism for the notification service.
February 2025 monthly summary: Delivered Terraform-driven ECS task resource configuration and autoscaling improvements across acsp-api and acsp-web, enabling more precise CPU/memory provisioning and scalable live environments. No major bugs fixed this month; focus was on configuration refactor to improve reliability, cost efficiency, and deployment velocity.
February 2025 monthly summary: Delivered Terraform-driven ECS task resource configuration and autoscaling improvements across acsp-api and acsp-web, enabling more precise CPU/memory provisioning and scalable live environments. No major bugs fixed this month; focus was on configuration refactor to improve reliability, cost efficiency, and deployment velocity.
In 2025-01, focused on enabling production readiness and scalable deployments through live environment configurations across two repositories. No major bugs fixed in this period; improvement efforts centered on automating production deployments and standardizing environment settings to reduce manual steps and risk.
In 2025-01, focused on enabling production readiness and scalable deployments through live environment configurations across two repositories. No major bugs fixed in this period; improvement efforts centered on automating production deployments and standardizing environment settings to reduce manual steps and risk.
December 2024 monthly summary for the repository: companieshouse/file-validation-api. Focused on delivering a scalable data persistence capability for the file-validation workflow. Key feature delivered: ECS Service Data Storage via IAM Task Role, enabling ECS tasks to perform S3 PutObject and store processed data directly to a designated S3 bucket. This work is tracked under commit 529814e0367cae02c7989a04cfa39544f2fe6f78 (Adding Task Role). No major bugs were reported or fixed this month; the effort centered on feature delivery and making the data pipeline more robust and automatable. Overall impact: Automated, reliable persistence of processed data to S3 reduces manual data handling, improves data availability for downstream analytics, and strengthens the platform’s scalability and fault tolerance. The changes lay a foundation for future enhancements in data processing and storage orchestration. Technologies/skills demonstrated: AWS Identity and Access Management (IAM) task roles, ECS deployment patterns, S3 PutObject operations, secure least-privilege design, and end-to-end data persistence workflow.
December 2024 monthly summary for the repository: companieshouse/file-validation-api. Focused on delivering a scalable data persistence capability for the file-validation workflow. Key feature delivered: ECS Service Data Storage via IAM Task Role, enabling ECS tasks to perform S3 PutObject and store processed data directly to a designated S3 bucket. This work is tracked under commit 529814e0367cae02c7989a04cfa39544f2fe6f78 (Adding Task Role). No major bugs were reported or fixed this month; the effort centered on feature delivery and making the data pipeline more robust and automatable. Overall impact: Automated, reliable persistence of processed data to S3 reduces manual data handling, improves data availability for downstream analytics, and strengthens the platform’s scalability and fault tolerance. The changes lay a foundation for future enhancements in data processing and storage orchestration. Technologies/skills demonstrated: AWS Identity and Access Management (IAM) task roles, ECS deployment patterns, S3 PutObject operations, secure least-privilege design, and end-to-end data persistence workflow.
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