AI-DLC & AWS Serverless Consulting
Battle-tested strategies from an AWS Serverless Hero to help your team adopt AI-DLC, build platforms, and master serverless
Hi, I'm Ran Isenberg
AWS Serverless Hero • Senior Principal Architect at Palo Alto Networks • Global Speaker
Over the past 15 years, I've built platforms serving 1,000+ developers, designed serverless architectures at enterprise scale, and contributed to the open-source community. Every consulting session is focused on practical, battle-tested strategies that leave you with actionable knowledge and clear next steps, not a dependency on external consultants.
My automation designs at CyberArk (acquired by Palo Alto Networks) are highlighted in an official AWS case study.
What I Can Help With
AI Adoption via Platform Engineering
AI-DLC adoption, AI agents, and MCP servers with centralized governance and guardrails — drawn from running a platform for 1,000+ developers.
Serverless & SaaS Consultation
Design reviews, adoption strategy, and best practices for teams building, optimizing, or debugging serverless on AWS.
Product Review
Does Serverless and AWS actually fit your product? Feasibility, market fit, and adoption risks, judged from enterprise and open-source work.
Online Whiteboarding
Live sessions where we design your serverless architecture together, pressure-testing it for scale and security as we go.
Consulting Rate
First 20 minutes free — no strings attached
- Actionable advice, not generic frameworks
- Bring your team — no extra charge
- Reschedule or cancel up to 24h in advance
Need ongoing support? Contact me
How It Works
Free Intro Call
We discuss your challenges and goals in a quick 20-minute call to see if there's a fit.
Deep-Dive Session
Collaborative working session — whiteboarding, architecture reviews, or strategic advice tailored to you.
Actionable Results
Walk away with clear next steps, documented recommendations, and the confidence to execute.
Frequently Asked Questions
AI-DLC (the AI-Driven Development Lifecycle) is a software delivery model where AI agents take part in every stage — planning, design, implementation, testing, deployment, and operations — under centralized governance and security policy. It sits between AI-assisted development, where AI only autocompletes isolated tasks, and AI-autonomous development, where agents are expected to ship whole applications unsupervised. I help teams adopt AI-DLC the way I built a platform for 1,000+ developers: standardized agent skills, a centralized MCP broker, a shared prompt library, and spec-driven development, so AI output is consistent, secure, and reviewable instead of fragmented per developer.
We use the intro call to understand your challenges, goals, and whether my expertise is the right fit. There's no obligation — it's a conversation to see if we can work together effectively.
I specialize in AI-DLC (the AI-Driven Development Lifecycle), AWS Serverless architecture, Platform Engineering, AI and agentic tools adoption, cloud security, CI/CD pipelines, developer experience, and technical leadership. If your challenge touches AWS, cloud-native development, or AI integration, I can likely help.
Both. I've built platforms at enterprise scale (1,000+ developers) and helped startups validate their cloud architecture from day one. The approach adapts to your stage and team size.
Absolutely. I offer architecture reviews and whiteboarding sessions designed for collaborative learning. Many clients book sessions with their full engineering team.
You can reschedule or cancel a session up to 24 hours in advance at no charge. I understand schedules change — just reach out and we'll find a new time.
Yes. I'm happy to sign a mutual NDA before our engagement begins. Confidentiality is a given in every consulting relationship.