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Reliability engineering for a data-sensitive platform
SLI/SLO practice and hardening that held 99.99% uptime on a platform handling sensitive personal records.
Who it was for: A healthcare SaaS platform handling sensitive personal data.
The problem. A platform holding health records can't treat availability and confidentiality as separate problems — an outage and a leak are both incidents, and both are reportable.
What I did. Defined SLIs and SLOs so reliability had a number attached rather than a feeling. Hardened networking and access, and enforced encryption in transit and at rest across the platform. Ran vulnerability scanning continuously rather than at release checkpoints.
The result. 99.99% uptime sustained, with protective controls around personal data documented and testable.
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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
Apogee is a cutting-edge deep tech SaaS platform providing intelligent predictive infrastructure and advanced reasoning systems for mission-critical enterprise data.
