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PMO & Sprint Governance Improvement
Building structure, accountability & delivery discipline
Governance • Backlog • Estimation • Accountability
A software delivery environment required stronger sprint discipline, clearer accountability, and more consistent delivery controls across technical teams.
What I did
Reviewed sprint planning and delivery practices
Improved backlog readiness and task structure
Strengthened estimation and delivery discipline
Introduced clearer accountability and delivery checkpoints
Established structured follow-up mechanisms across teams
Identified recurring delivery gaps and defined corrective actions
Improved coordination across development, QA, BA, mobile, UI/UX, and team leads
Outcome
Created a more structured delivery environment with clearer ownership, stronger sprint governance, and better management visibility into execution and delivery risks.
My role:
PMO & Delivery Governance • Agile Delivery • Process Improvement • Cross-functional Coordination
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MyCarrier: DevOps & Cloud Transformation for Scalable Logistics SaaS
Preview description:
We helped MyCarrier move toward cloud-ready DevOps: adapted the system for microservices, implemented CI/CD and test automation, moved workloads to Azure, achieved 99.9% availability, decreased update delivery time to minutes.
Full description:
Problem
MyCarrier was growing fast, and the monolithic codebase became harder and more expensive to maintain. It was heavy, resource-consuming, and less suitable for the client’s long-term scaling plans. The team also needed faster delivery processes, but changes in the codebase and cloud migration had to stay unnoticed by users. Their logistics workflows could not be interrupted.
Solution
IT Craft aligned the project infrastructure with a microservices architecture and prepared the system for cloud operation. The team started with a technical audit and developed the migration strategy consisting of 20-28 items. The process was divided into pre-migration, migration, and post-migration phases, thus the product could keep running while infrastructure changed step by step.
The team moved non-critical standalone jobs to the cloud, connected virtual machines to Azure Storage Account, moved logging to MongoDB Atlas, and transferred user data and related processes to the cloud. New app functionality was released as microservices. IT Craft also designed and fine-tuned a CI/CD pipeline, automated infrastructure deployments, and reduced update delivery time through regression test automation.
Results
· Achieved 99.9% system availability.
· Maintained high fault tolerance using three shared clusters.
· Reduced update delivery time from hours to minutes.
· Enabled Sprint focus changes every two weeks based on client priorities.
Tech Stack:
· Azure Cloud
· MongoDB Atlas
· Azure SQL
· Azure App Service
· Azure Functions
· Azure Storage Account
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