SNWN Tech Solution engineers high-velocity Internal Developer Platforms (IDPs), automated GitOps CI/CD pipelines, declarative Infrastructure as Code, and production Kubernetes fabrics for modern enterprises. By standardizing golden paths, automating ephemeral environments, and decoupling monolithic architectures into resilient microservices, we reduce developer cognitive load, achieve elite DORA metrics, and guarantee 99.99% runtime reliability.
Engineered for elite DORA software delivery velocity, self-service developer autonomy, zero configuration drift, and high-availability container operations.
Transition engineering squads from risky monthly release windows to multiple daily zero-downtime production deployments using automated GitOps pipelines.
Prevent production regressions through automated progressive canary analysis, contract testing gates, and instant automated rollback triggers upon anomaly detection.
Empower developers to spin up isolated, production-parity ephemeral environments and compliant cloud resources on demand without Ops tickets.
Architect multi-zone Kubernetes control planes, horizontal pod autoscaling, and distributed API gateways backed by proactive 24/7 SRE observability.
Application developers lose days waiting on manual Jira tickets for cloud databases, IAM roles, and basic environment provisioning.
Self-Service Internal Developer Portals: Backstage-powered golden paths enabling instant, governed self-service provisioning of cloud infrastructure and microservice scaffolding.
Bespoke, unmaintained Jenkins scripts and manual weekend release runbooks cause frequent deployment failures and prolonged production outage rollbacks.
Standardized GitOps Delivery Engines: Versioned CI/CD pipeline templates paired with ArgoCD and Flux for declarative, zero-downtime canary deployments.
Ad-hoc console changes across development, staging, and production environments create undocumented configuration drift and unrepeatable disaster recovery failures.
Immutable Infrastructure as Code: Modular Terraform, OpenTofu, and Crossplane blueprints with automated drift detection and OPA policy enforcement.
Multiple engineering squads queue for a single shared staging server, causing broken integration tests and stalled release schedules.
Ephemeral Pull-Request Environments: Automated on-demand preview environments spun up per pull request and torn down automatically upon merge.
Uncoordinated service-to-service calls lack circuit breakers, unified authentication, and distributed tracing, turning minor latency spikes into cascading outages.
Governed Service Mesh & API Fabrics: Istio/Cilium mTLS meshes, Envoy API gateways, and OpenTelemetry tracing across all microservices.
Conduct Value Stream Mapping, benchmark DORA delivery metrics, align Team Topologies, and deploy Backstage Internal Developer Portals (IDPs).
Engineer high-velocity GitHub Actions and GitLab CI pipelines with ArgoCD/Flux GitOps, SBOM signing, and automated Canary/Blue-Green traffic routing.
Codify multi-cloud infrastructure using modular Terraform, OpenTofu, Pulumi, and Crossplane blueprints enforced by Open Policy Agent (OPA) guardrails.
Eliminate staging bottlenecks with automated pull-request preview environments, feature flag orchestration, synthetic test data, and zero-downtime release gates.
Architect multi-cluster EKS, AKS, GKE, and OpenShift platforms with Karpenter autoscaling, Cilium eBPF networking, and Istio service mesh.
Deconstruct monoliths into domain-driven REST, GraphQL, and gRPC microservices orchestrated via Kong/Apigee gateways and Apache Kafka event streams.
Quality Management System
Information Security Management
Azure Solutions Architect
Solutions Architect & CloudOps
RHCE Linux Enterprise
Certified Systems Professional
Certified Administrator
Software Testing & Automation
Quality Management System
Information Security Management
Azure Solutions Architect
Solutions Architect & CloudOps
RHCE Linux Enterprise
Certified Systems Professional
Certified Administrator
Software Testing & Automation
Map code-to-production lead times, measure baseline DORA metrics, identify TicketOps friction points, and define target platform KPIs.
Design self-service Backstage portals, standardized microservice templates, modular Terraform IaC registries, and multi-cluster Kubernetes topologies.
Provision hardened Kubernetes clusters, establish ArgoCD/Flux GitOps control planes, and embed automated OPA and DevSecOps security gates.
Automate on-demand pull-request preview environments, deploy API gateways and Istio/Cilium service meshes, and onboard pilot product squads.
Scale platform adoption across engineering teams, run automated chaos resilience drills, and track continuous DORA velocity improvements.
Traditional DevOps often results in either 'you build it, you run it' cognitive overload for application developers or slow ticket queues waiting on a central Ops team. Platform Engineering treats your infrastructure and delivery pipelines as an internal product, providing a self-service Internal Developer Platform (IDP) with pre-approved Golden Paths that abstract cloud and Kubernetes complexity while enforcing security and compliance automatically.
By deploying standardized CI/CD templates, automated Terraform/Crossplane provisioning, and ephemeral preview environments, most enterprise engineering teams reduce new-service onboarding from weeks to under 15 minutes, increase deployment frequency by 5x to 10x, and lower change failure rates below 1% within the first 90 days.
Yes. We use the Strangler Fig pattern alongside API gateways (Kong, Apigee, Envoy) and event-driven message brokers (Kafka). This lets your teams extract high-value domain capabilities into containerized microservices incrementally while routing traffic seamlessly between legacy monoliths and new Kubernetes workloads.
Every Golden Path template in the platform is governed by Policy-as-Code (Open Policy Agent, Kyverno, Sentinel) and FinOps budget quotas. When a developer requests a database or Kubernetes namespace through the portal, encryption, network micro-segmentation, IAM least privilege, and instance sizing limits are enforced automatically at the pull-request and cluster admission layers.
Partner with SNWN Tech Solution's platform architects and CNCF-certified engineers to build self-service developer platforms, automate GitOps pipelines, and scale cloud-native systems.
