#Deployment

Deployment engineering ensures that systems move from development to production reliably. Articles cover Cloud Run deployment for multi-agent services, A2A endpoint exposure, embed.FS for single-binary Go deployments, and the strategies that make deployments repeatable and rollback-safe.

3 posts tagged with deployment. ← All posts

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Pratik Dhanave · ·6 min read

Integration and Deployment in Customer Environments

The demo ran on your laptop with clean data — production means the customer's messy systems, their security rules, and their data as it actually is, which is where most forward deployed work is really won.

Production means the customer's messy data, systems you don't control, and security you must pass: profiling dirty data, loose-coupling integrations, treating security/residency as gates, and deploying + handing over so you can actually leave.

#Forward Deployed Engineer#Integration#Deployment#Data#Forward Deployed Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.