Omax Tech Blog
Practical insights on software development, AI, data engineering, cloud architecture, and DevOps - written by the engineers and consultants at Omax Tech.
By Industry
Multi-Tenancy Patterns in DynamoDB: Silo, Pool, and Bridge Models
If you've already made the jump from a relational database to DynamoDB see our guide on moving relational data from SQL to DynamoDB...
We stopped leaving the IDE to design. Here’s our Cursor → Figma flow
Cursor drafts fast, catches gaps early, and still clips fields and breaks layouts. Here's the real pros-and-cons breakdown of our workflow...
AWS DevOps Agent: How AI is Automating On-Call Incident Response
If you've ever been on call during a production outage, you know how stressful it can be. Alerts start firing, dashboards light up, and suddenly you're jumping between monitoring tools...
Catch Missing Images Before Deploy: A Simple Pre-Build Script for Next.js
How Omax Tech added a lightweight image validation gate to Next.js 15 builds on Vercel...
Teach your LLM your design system: Storybook MCP + Amazon Bedrock + Strands
How to stop models inventing buttons and make them build UI from your real component catalog. Most "AI UI" demos look great until you paste the markup into a real product. The fix is not a smarter prompt...
Configure Self Hosted GitLab Repository Mirroring
Self hosted GitLab Repository Mirroring is a powerful feature that automatically synchronizes repositories between GitLab and external Git providers...
Event Sourcing: A Foundation Guide
Event Sourcing is an architectural pattern where every state change is recorded as an immutable event rather than updating a database row in place...
AWS Security Best Practices Every Business Should Follow
As more organizations migrate their applications and critical workloads to AWS, securing cloud environments has become a business priority rather than just an IT responsibility...
AWS Migration Checklist: A Practical Roadmap for Modern Businesses
Migrating businesses to AWS offers many benefits, including cost optimization, improved security, and greater scalability. However, a successful migration requires careful planning and execution. Otherwise, organizations may experience...
Agentic AI for QA & Software Testing with MCP Servers
For years, QA engineers have relied heavily on manual testing, repetitive validation, documentation, and traditional automation scripts But now, a new era of testing...
Our Proven Web Development Process That Delivers Real Results
In software development, success does not come from coding alone. Real results come from understanding business needs, planning the right workflow, building user-friendly designs...
Secure AWS Connectivity Using AWS Systems Manager (SSM)
In traditional cloud architectures, secure access to private resources such as databases and internal servers often relies on...
Building a Secure Multi-Account AWS Architecture for Enterprise Environments (Dev, STG, UAT, Prod)
In today’s cloud-first world, scalability and speed are no longer enough security, governance, and cost control are equally critical...
Why You Should Use AI Agents Over Single Prompts: Unlocking the Power of Adaptive AI for Complex Workflows
In the world of artificial intelligence (AI), one of the biggest advancements has been the rise of AI agents that adapt dynamically to real-time data and complex workflows...
Production Ready ( Quality, performance, and the lessons learned shipping to 150 stores )
We chose dbt over custom scripts, built observability, optimized performance, and shipped to production...
Scaling from 15 to 150 Stores ( When copy-paste becomes technical debt, macros become salvation )
We built a pipeline with observability, incremental models for performance, and snapshots for history. Our 15-store deployment ran smoothly...
Keeping Your Data Fresh: ( The wake-up call at 3am that taught us about observability )
That morning taught us a crucial lesson: a successful dbt run doesn't mean your data is fresh, accurate, or complete. You need observability.
Retail Data Chaos: How We Found Our Way Out ( When spreadsheets fail and databases multiply, where do you turn? )
Picture this: You're managing data for a growing retail chain. Store after store opens New York, San Francisco, Los Angeles each with its own MySQL database...
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