Slow & Manual Releases
Automate software delivery and environment promotion through secure CI/CD and GitOps workflows.
Cloud · Platform · AI Engineering
Engineering Cloud,
Platform & AI Systems
for Production.
AJDS AI Technologies helps organizations design, automate, secure and scale modern cloud infrastructure, Kubernetes platforms, software delivery systems and enterprise AI solutions.
Security by designBuilt for scaleProduction first
CONNECTED BY DESIGN01 — 04
Security & governance at every layer
FROM CLOUD FOUNDATIONS TO ENTERPRISE INTELLIGENCEExplore our engineering
Cloud NativeInfrastructure as CodeDevSecOpsKubernetesGitOpsPlatform EngineeringEnterprise AI
Additional capabilities: MLOps, Observability and SRE.
Our capabilities
Deep Expertise. Connected Engineering.
From cloud foundations to enterprise AI platforms, architecture, implementation and operational engineering under one roof.
01
Cloud Engineering
Secure, scalable cloud foundations designed around your workloads, not the other way around.
Explore service02
DevOps & DevSecOps
Automated, auditable delivery pipelines with security integrated from the first commit.
Explore service03
Kubernetes Engineering
Production-ready Kubernetes platforms built for resilience, security and operational clarity.
Explore service04
Platform Engineering
Internal developer platforms and golden paths that give teams autonomy with guardrails.
Explore service05
AI Engineering
Enterprise RAG and AI agents with the controls, evaluation and visibility production demands.
Explore service06
MLOps Engineering
Reproducible model lifecycles, automated deployment and monitored production inference.
Explore serviceReal challenges. Practical engineering.
Engineering Challenges We Help Solve
Complex systems should not stand in the way of progress. We address the friction between your ambitions and production.
Infrastructure Drift
Standardize infrastructure using reusable Infrastructure-as-Code patterns.
Kubernetes Complexity
Design secure, observable and scalable Kubernetes platforms for production workloads.
Developer Bottlenecks
Introduce self-service platforms and golden paths that reduce dependency on centralized teams.
AI Stuck in Proof of Concept
Move RAG and AI agent workloads toward secure, governed production architectures.
Limited Operational Visibility
Connect logs, metrics, traces, alerting and audit capabilities across distributed platforms.
Engineered as a system
Every Layer. Working Together.
Explore how our engineering capabilities connect into production-ready architectures.
Automated Delivery from Commit to Production
Repeatable software delivery platforms where infrastructure, security and application deployment are automated and auditable.
Cloud & DevOpsILLUSTRATIVE WORKFLOW
- 01Developer
- 02GitHub / GitLab
- 03CI pipeline
- 04Unit tests
- 05Code quality
- 06Security scanning
- 07Container build
- 08Container registry
- 09GitOps repository
- 10Argo CD / Flux
- 11AKS / EKS / GKE
- 12Observability
Security by designObservable by defaultAutomated end to end
Purpose-built solutions
Your Next Challenge. A Clear Path Forward.
Connected capabilities, shaped around the problem you need to solve.
Architecture in practice
Reference Implementations
Representative architectures. Real engineering thinking. Explore how we approach common enterprise platform challenges.
Production Kubernetes Platform
A GitOps-driven Kubernetes foundation with security, autoscaling and end-to-end observability.
Explore architectureEnterprise RAG Platform
Permission-aware retrieval with governed ingestion, citations and measurable answer quality.
Explore architectureEnterprise AI Agent Platform
Integrate AI agents with enterprise systems through controlled tools, policy and auditability.
Explore architectureIllustrative reference designs — not customer case studies or claims of delivered results.
How we deliver
From Discovery to Production
A structured approach. Clear decisions. Engineering ownership at every stage.
- 01
Discover
Understand business objectives, workloads, architecture and constraints.
- 02
Assess
Identify technical, security and operational gaps in the current environment.
- 03
Architect
Define the target architecture, implementation approach and roadmap.
- 04
Validate / POC
Test technical assumptions with a focused proof of concept.
- 05
Implement
Build the infrastructure, automation, platforms and integrations.
- 06
Secure
Apply identity, network, secrets and policy controls.
- 07
Test
Validate functionality, performance, resilience and readiness.
- 08
Production
Execute a controlled rollout, documentation and handover.
- 09
Operate & Improve
Monitor, optimize and continuously improve the platform.
Ways to work together
Engage at the Right Stage
The right engineering support, whether you’re defining a roadmap or operating in production.
Assessment & Architecture
Clarity before commitment.
- Current-state review
- Gap analysis
- Target architecture
- Security review
- Implementation roadmap
Proof of Concept
Validate what matters.
- Focused use case
- Architecture validation
- Technology evaluation
- Production recommendations
Production Implementation
Build for the real world.
- Infrastructure and automation
- Security and testing
- Deployment
- Documentation
- Knowledge transfer
Managed Engineering
Keep your platform moving.
- Monitoring and incident support
- Platform upgrades
- Security improvements
- Performance optimization
- Cost optimization
The AJDS approach
Engineering Principles Built for Production
Not just a working implementation. A foundation your teams can understand, operate and evolve.
Cloud-to-AI Engineering
Architecture across infrastructure, Kubernetes, developer platforms, MLOps and AI.
Automation First
Repeatable infrastructure and delivery through Infrastructure as Code, CI/CD and GitOps.
Security by Design
Identity, policy, networking, secrets and audit controls integrated into the architecture.
Platform Mindset
Reusable modules, templates and golden paths instead of repeated one-off implementations.
Production Readiness
Availability, scaling, monitoring and disaster recovery considered from the beginning.
Flexible Engagement
Assessment, proof of concept, implementation and managed engineering options.
Technology ecosystem
The Right Tools. Engineered Together.
Established technologies, selected for your architecture and operational needs.
Cloud
Microsoft AzureAmazon Web ServicesGoogle Cloud
Containers
DockerKubernetesAKSEKSGKE
Infrastructure & GitOps
TerraformHelmKustomizeArgo CDFlux
CI/CD
GitHub ActionsAzure DevOpsGitLab CI/CDJenkins
Observability
PrometheusGrafanaOpenTelemetryAzure MonitorApplication Insights
Platform Engineering
BackstageOPAAPI gatewaysService catalogs
AI / ML
Azure OpenAIOpenAI-compatible integrationsAnthropic-compatible integrationsMLflowVector databasesRAG frameworksMCP
Technology references describe engineering capabilities and do not imply official partnerships or certifications.
Engineering perspectives
Thinking Beyond the Implementation
Kubernetes4 min read
Production-ready Kubernetes starts beyond the cluster
A practical architecture checklist for identity, delivery, observability and recovery.
Read articlePlatform Engineering3 min read
Golden paths, not golden cages
Design self-service platforms that make the right engineering choices the easiest ones.
Read articleRAG4 min read
What to evaluate before your RAG platform goes live
Look beyond fluent answers to retrieval quality, permissions and evidence.
Read articleLet's build what's next
Build Your Next Production Platform With Confidence
Whether you’re modernizing cloud infrastructure, standardizing Kubernetes or operationalizing enterprise AI, AJDS can help architect and implement the engineering foundation.