CLOUD PLATFORM · DEVSECOPS · AI/MLOPS · RELIABILITY
Build, secure, and operate cloud platforms that release reliably.
Azure, Kubernetes, and AI platform engineering for teams improving delivery speed, operational resilience, security posture, and cloud efficiency.
We respond to assessment and inquiry requests within 1 business day.
- Azure & AKS
- Azure AI Foundry & MLOps
- Jenkins & GitLab CI/CD
- SRE & Observability
- Vulnerability Remediation
Reference designs for higher uptime, controlled cloud spend, governed AI operations, and smoother release flows — built the way production platform teams actually operate.
Azure well-architected edge → ingress → platform → observability
Production AKS Platform
$ inspect edge
Public DNS, CDN caching, WAF/DDoS protection, and TLS termination before traffic reaches your cluster.
- Uptime
- Edge absorption of spikes and attack traffic before it hits origin
- Cost
- CDN offload reduces origin egress and scales elastically at the edge
- User flow
- Lower latency via cached static assets and geo-routed entry
Click a layer to inspect design intent — reference pattern, not a copy-paste mandate.
Full architecture breakdown →Azure well-architected edge → ingress → platform → observability
Production AKS Platform
$ inspect edge
Public DNS, CDN caching, WAF/DDoS protection, and TLS termination before traffic reaches your cluster.
- Uptime
- Edge absorption of spikes and attack traffic before it hits origin
- Cost
- CDN offload reduces origin egress and scales elastically at the edge
- User flow
- Lower latency via cached static assets and geo-routed entry
Click a layer to inspect design intent — reference pattern, not a copy-paste mandate.
Full architecture breakdown →BetterCallDevOps is a specialist consulting practice — a senior platform engineering team delivering cloud platform, DevSecOps, Azure AI/MLOps, SRE, observability, security, and automation work. Additional specialists are brought in when a project needs deeper domain coverage.
$ whoami
BetterCallDevOps — Specialist Platform Engineering Team
# architecture gallery
Explore reference patterns in depth
Three core patterns below — four featured below and seven full reference architectures on the gallery page, each with failure modes, deliverables, and design decisions.
# Production AKS Platform — click a layer to inspect
$ inspect edge
1/6
Edge security
DNS, CDN, WAF/DDoS posture, and Application Gateway/Ingress entry.
# Secure CI/CD Delivery — click a layer to inspect
$ inspect dev
1/5
Developer change
Branch and pull request as the unit of change.
# SRE Reliability and Uptime Process — click a layer to inspect
$ inspect define
1/4
Define
User journey → SLI/SLO definition.
# Production AI Platform on Azure — click a layer to inspect
$ inspect foundry
1/6
Azure AI Foundry
Workspace layout, model registry, prompt flows, and environment separation for dev/staging/prod.
# who we help
Who BetterCallDevOps helps
Specialist consulting for teams that need senior platform capability without building a large internal platform organization.
- › Startups building their first production platform
- › SaaS teams scaling Azure, Kubernetes, and AI delivery
- › Product teams shipping LLM features who need production MLOps and tracing
- › Regulated technology companies needing audit-ready operations
- › Engineering agencies needing senior platform expertise
- › Teams hiring for platform capability without a full internal platform org
# engagement model
How engagements are structured
Assessment, fixed-scope sprint, implementation, fractional platform support, and enterprise platform coverage.
Assessment
Time-boxed readiness and risk reviews with a prioritized backlog.
Fixed-scope sprint
Focused implementation windows for CI/CD, AKS reliability, remediation, or observability.
Implementation
Broader delivery with written scope, handover docs, and team ownership.
Fractional platform support
Ongoing senior platform leadership without building a large internal team.
# outcomes
What teams typically aim to improve
Directional outcomes — verified metrics added when cleared for publication.
- › Faster and safer releases through gated CI/CD and progressive delivery patterns
- › Production AI operations with tracing, cost governance, and governed model promotion
- › More observable systems across infrastructure, applications, databases, Kubernetes, and AI workloads
- › Lower operational toil via governed automation and clearer operating models
- › Controlled cloud costs through rightsizing and governance hygiene
- › Audit-ready operations with evidence-oriented security and reliability practices
# case studies
Anonymized delivery stories
Real industry problems, concrete methods, and outcomes — including Azure AI/MLOps, AKS, CI/CD, and reliability work.
Product engineering · Generative AI on Azure
Azure AI Foundry & Production Model Operations
Standing up Azure AI Foundry, governed model deployment, production tracing, and cost-controlled LLM operations for a team shipping AI features.
Product engineering · AKS delivery
CI/CD & Kubernetes Deployment Automation
Re-architecting Jenkins and GitLab pipelines with automated security gates and canary deployment logic on AKS.
High-traffic SaaS · Reliability engineering
SRE Observability & Alert Rationalization
Introducing SLO-based alerting, dependency tracing, and incident runbooks to reduce alert fatigue and improve production response.
# services
Specialist services across the platform stack
Depth lives on service and architecture pages — the homepage stays focused.
Kubernetes & AKS Engineering
Production AKS platform design with isolation, autoscaling, and safe rollout patterns.
CI/CD Pipeline Engineering
Jenkins and GitLab pipelines engineered for gated, reviewable releases with rollback paths.
Azure AI Platform & MLOps Engineering
Production Azure AI Foundry, model deployment, tracing, and governed LLM operations on Azure.
DevSecOps, VAPT & Compliance
Authorized vulnerability programs, remediation governance, and compliance-ready evidence.
SRE & Incident Response
Service Level Objective (SLO) design, on-call readiness, and Mean Time To Recovery (MTTR) reduction.
Monitoring & Application Performance Management (APM)
Custom monitoring platforms and APM setup for latency, errors, and dependency visibility.
Azure Cloud Architecture & Cost Optimization
Azure landing zones, edge design, and cost governance with commercial transition support.
next step
Have a delivery, platform, or reliability problem?
Request a Cloud/AKS assessment or start a scoped discussion. BetterCallDevOps engagements begin with discovery and a written scope.
We respond to assessment and inquiry requests within 1 business day.