GuideSept 2026 · 9 min read
Platform engineering tools for regulated financial services
A guide to platform engineering tools for regulated banks: intent-time governance, auditability and explainability for safe agentic operation.
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Raghu Vennam
Principal · AI Native Platform Engineering
Experience18+ years, around 9 in financial services
Raghu is Bugni Labs' principal for AI Native Platform Engineering, the substrate AI-native applications deploy onto. He operates as both architect and hands-on engineer: shaping GCP-native platform architecture, GitOps, and DevSecOps patterns, and building them into production platforms with Python-driven automation. At Bugni Labs he is core developer of HYPER, the internal platform product for automated GCP environment setup. 18+ years of technical architecture and around nine years in UK financial services.
What Raghu writes about
The substrate AI runs on. The recurring threads are platform engineering displacing DevOps in regulated firms, governed delivery pipelines rather than plain CI/CD, and zero-trust design for LLM platforms. A hands-on series follows the agent-fabric from a laptop running Docker Compose through to multi-provider production, alongside Terraform and GCP build notes.
18 pieces · 3 Perspectives · 8 Field Notes · 7 Guides
GuideSept 2026 · 10 min read
How do enterprises measure the ROI of platform engineering, and where do the hidden costs sit?
How enterprises measure platform engineering ROI, the hidden costs that surface after adoption, and what changes when AI agents join the lifecycle.
Read guideField NoteSept 2026 · 4 min read
Coding assistants don't over-comment. They re-derive.
One morning a prose reduction run cut 87 lines of comment and docstring from a codebase a coding assistant had written. By evening it had put 318 back.
Read field noteGuideJul 2026 · 12 min read
Why Financial Institutions Are Replacing AI Pilots with Governed AI Platforms
Why regulated financial institutions are moving from isolated AI pilots to governed platforms with evidence, controls, and bounded autonomy.
Read guideGuideJul 2026 · 12 min read
MLOps for Regulated Financial Services Explained
MLOps for financial services is the engineering discipline for building, releasing, monitoring, and governing machine learning systems in regulated environments. It connects model development with software delivery, data governance, runtime observability, and audit evidence so that a model can move from experiment to production without becoming a black box.
Read guideField NoteMay 2026 · 17 min read
Multi-Provider, Multi-Agent: Scaling the agent-fabric in Production
What changes when agent-fabric has real traffic, multiple LLM providers, a second agent path, and cost controls that need to survive production use.
Read field noteField NoteMay 2026 · 16 min read
From Localhost to Live HTTPS on GCP with One Terraform Apply
How agent-fabric moves from localhost to live HTTPS on GCP with Terraform-managed Cloud Run, load balancing, secrets, DNS, and observability.
Read field noteField NoteMay 2026 · 13 min read
Running the agent-fabric Locally with Docker Compose
How to run agent-fabric locally with Docker Compose while keeping the same gateway, auth, agent, and web code paths used in production.
Read field noteField NoteMay 2026 · 12 min read
Designing a Zero-Trust LLM Platform: agent-fabric
The architecture choices behind agent-fabric, a zero-trust LLM platform that keeps auth, quotas, provider routing, and agent execution in separate services.
Read field noteGuideMay 2026 · 14 min read
Cloud-Native Architecture for Financial Services Guide
Cloud-native architecture for financial services: definition, core building blocks, banking implementation framework, ISO 20022 patterns, pitfalls, FAQ.
Read guideGuideMay 2026 · 15 min read
What is zero-trust architecture for financial services?
Zero-trust architecture for financial services explained: NIST and CISA foundations, UK and EU regulator expectations, a six-step plan and AI agents.
Read guidePerspectiveMar 2026 · 5 min read
Multi-Cloud vs Hybrid Cloud for Banks: A Decision Framework Based on What We've Seen Work
For banks, the multi-cloud versus hybrid cloud question is not a preference. It is a constraint, shaped by where regulated data lives, what the legacy stack actually looks like, and how mature the engineering team really is.
Read perspectiveField NoteDec 2025 · 9 min read
Building an Internal Developer Platform in 4 Months
How we built an internal developer platform that shipped 20 microservices to a UK neobank in 4 months: 12-15 deploys/day, 47-minute lead time, zero incidents.
Read field notePerspectiveDec 2025 · 9 min read
Why Financial Services Firms Are Replacing DevOps Teams With Platform Engineering
In most regulated banks, the DevOps team has quietly become the bottleneck DevOps was supposed to remove. Platform engineering is not a rebranding. It is a recognition that the original arrangement broke under load.
Read perspectiveField NoteNov 2025 · 8 min read
Building Governed AI Delivery Pipelines
Master building governed AI delivery pipelines with AI engineering methodology. Bugni Labs' proven approach delivers 4-month concept-to-production for financial services, with zero incidents and 3-5x velocity.
Read field noteField NoteNov 2025 · 8 min read
LEGO-Style Terraform: Building a Greenfield GCP Platform
How we built a regulated UK retail bank's GCP platform with LEGO-style Terraform: independent modules, per-module CI, InSpec policy gates, three-tier pipelines.
Read field noteGuideOct 2025 · 16 min read
What Is Platform Engineering? Guide for Enterprise Leaders
A guide to platform engineering for enterprise leaders: internal platforms, governed agent workflows, and delivery in regulated environments.
Read guidePerspectiveSept 2025 · 5 min read
Why Governed AI Delivery Pipelines Beat CI/CD
Discover why governed AI delivery pipelines are replacing traditional CI/CD for faster, safer AI deployment in financial services. Learn current limitations, key developments, implications, and future steps from Bugni Labs' AI-native expertise.
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