Modernize applications, platforms, and ops on one governed cloud foundation
CognitiveCloud™ unifies migration, platform engineering, DevSecOps, and observability—so teams provision capacity, ship changes, and run AI workloads with policy gates from day one.
Typical reduction in migration cutover risk via automated validation
1
Control plane for ops, security, and cost visibility
Why cloud modernization stalls
CognitiveCloud™ addresses the gaps between legacy estates, fragmented tooling, and AI-ready platforms.
Legacy estates and cloud landing zones evolve separately—with no shared migration runway or golden paths
Platform teams rebuild provisioning, CI/CD, and observability per project instead of once for the enterprise
Security and compliance gates are manual reviews instead of policy-as-code in every pipeline
Event-driven and AI workloads need GPU, data zones, and cost controls beyond classic lift-and-shift
Operations runbooks, FinOps, and incident response live in disconnected tools and spreadsheets
Cloud coverage
Modernize on any cloud—or your private estate
CognitiveCloud™ delivers the same migration runway, platform engineering, DevSecOps, and observability patterns on every major cloud—and on sovereign or air-gapped private infrastructure.
Migrate and modernize on AWS with Control Tower landing zones, EKS golden paths, and integrated DevSecOps—wired for AI workloads on Bedrock and SageMaker when you are ready.
Wave-based migration with AWS MGN, dependency mapping, and automated cutover validation
Golden-path EKS and serverless templates with IAM, KMS, and network guardrails as code
GitOps pipelines with policy checks, artifact signing, and continuous compliance evidence
Unified CloudWatch, X-Ray, and FinOps tagging from app migration through production SLOs
Landing Zones · AKS · Azure Migrate · DevOps · Monitor · Defender
Stand up Azure Landing Zones, migrate workloads with Azure Migrate, and run platform engineering on AKS—with DevSecOps and observability aligned to Microsoft Cloud Adoption Framework.
Enterprise-scale landing zones with policy, identity, and network topology as code
Application migration waves with Azure Migrate, refactor patterns, and traffic-shift playbooks
Self-service AKS and PaaS catalogs with RBAC, quotas, and approval workflows in Azure DevOps
Azure Monitor, App Insights, and cost management in one operational model for migrated estates
Modernize on Oracle Cloud Infrastructure with compartment-isolated landing zones, OKE platform engineering, and Cloud Guard—ideal when Oracle estates and ADW are part of the runway.
OCI landing zone design with compartments, VCN isolation, and Vault-managed secrets
Migration tooling and wave plans for Oracle and VMware workloads moving to OCI
OKE golden paths with GitOps, image signing, and policy gates before every deploy
Logging Analytics, APM, and cost tracking unified across migrated applications
Deploy Google Cloud Foundation, migrate with Migrate to Containers, and operate on GKE—with Cloud Build security, Anthos-ready patterns, and FinOps built into the platform layer.
Org/folder hierarchy, VPC design, and policy constraints via Foundation Toolkit
Migration and modernization paths for VMs, containers, and data pipelines into GCP
GKE platform teams with Binary Authorization, workload identity, and internal catalogs
Cloud Monitoring, Trace, and Recommender tied to SLOs and right-sizing from day one
OpenShift · Cloud Pak · watsonx · DevOps · Instana · Security Center
Run CognitiveCloud on IBM Cloud or Cloud Pak for Data—OpenShift-centric platform engineering, watsonx-ready AI zones, and enterprise governance for regulated industries.
OpenShift clusters on IBM Cloud or on-prem with tenant isolation and quota policies
Migration patterns for legacy IBM, mainframe-adjacent, and hybrid estates into modern runtimes
DevSecOps pipelines with IBM DevOps, image scanning, and segregation-of-duties approvals
Instana and Cloud Pak observability for full-stack SLOs across migrated services
Deliver the full CognitiveCloud control plane on private cloud, VMware, or bare metal—Kubernetes platforms, GitOps, and observability without public-cloud dependency.
Reference architecture for private landing zones, network segmentation, and identity integration
Migration from data center and VMware estates into OpenShift or upstream Kubernetes
Air-gapped CI/CD, artifact signing, and policy-as-code for regulated environments
Prometheus, Grafana, or enterprise APM stacks unified with FinOps and runbook automation
CognitiveBricks implements CognitiveCloud™ on AWS, Azure, Oracle, GCP, IBM, or your private cloud—the same migration discipline, golden paths, and operational model, adapted to your anchor platform.
Platform capabilities
CognitiveCloud™ pillars
Unified cloud provisioning, governance, and AI workload orchestration.
Application Migration
Assess, refactor, and cut over with validated runways
Inventory dependencies, prioritize wave plans, and automate refactoring and cutover checks—minimal downtime, auditable milestones, and parity validation before production traffic moves.
Discovery & dependency mapping across apps, data, and integrations
Wave planning with risk scoring and rollback playbooks
Automated refactor assist and containerization patterns
Cutover validation, smoke tests, and traffic shifting
Move critical workloads faster with measurable risk reduction at each wave.
Platform Engineering
Self-service platforms with golden paths and guardrails
Environment catalogs, IaC templates, and GitOps pipelines encode how teams request compute, data zones, and AI capacity—without opening security exceptions or shadow IT.
Golden-path templates for dev, staging, and production
Multi-tenant RBAC, quotas, and network isolation as code
Internal developer portal for requests and status
GPU pools, model endpoints, and data lake zones on demand
Ship new environments in minutes while governance stays automatic.
DevSecOps
Security and compliance wired into every change
Policy-as-code, supply-chain scanning, and approval workflows run before infrastructure applies or apps deploy—aligned to your change-management and audit requirements.
IaC and pipeline policy checks before merge and apply
Secrets management, SBOM, and artifact signing gates
Segregation of duties with approval trails
Continuous compliance evidence for audits
Fewer late-stage security surprises and faster, safer releases.
Observability
Unified telemetry from apps to infrastructure and AI inference
Traces, metrics, logs, and cost signals in one operational model—SLOs, incident hooks, and agent-assisted triage grounded in your runbooks and FinOps rules.
Full-stack APM across web, services, data pipelines, and GPU jobs
SLO dashboards with error budgets and alerting
Incident workflows with blast-radius visibility
Cost and performance correlation for right-sizing
Less firefighting; clearer ownership from request to production.
Engagement roadmap
A phased path from assessment to unified operations—aligned to your migration waves and platform maturity.
01
Assess & blueprint
Weeks 1–4
· Estate inventory
· Migration waves
· Platform maturity baseline
02
Platform foundation
Weeks 3–8
· Control plane & RBAC
· IaC / GitOps
· Observability stack
03
Migration waves
Weeks 6–16
· Pilot cutovers
· Automated validation
· Traffic shifting
04
Unified operations
Parallel rollout
· SLOs & runbooks
· FinOps tagging
· Agent-assisted triage
Ready to build with CognitiveBricks?
Book a strategy session with our architects to map your agentic AI roadmap, platform foundation, and first production use case.
