CLOUD & INFRASTRUCTURE

DevOps & Kubernetes Architectures.

We automate your software development and operations processes with CI/CD pipelines; creating uninterrupted, microservice-oriented, and highly available infrastructure with Docker and Kubernetes.

Start Automating

10x

Faster Deployment

99.99%

Availability (SLA)

DevSecOps

Secure Processes

K8s

Certified Expertise

production-env ~ k8s-cluster

admin@devops:~$ kubectl apply -f deployment.yaml

deployment.apps/web-service created

admin@devops:~$ watch kubectl get pods

NAME READY STATUS RESTARTS AGE

web-service-84f9b8c5d7-x1 1/1 Running 0 12s

web-service-84f9b8c5d7-y2 1/1 Running 0 12s

web-service-84f9b8c5d7-z3 1/1 Running 0 12s

🔄 Pipeline status: SUCCESS [Production Deployed]

3/3

Pods Ready

Restarts

12s

Deploy Time

Automation and Scalability Capabilities

Break through the limitations of traditional monolithic structures and transition to microservice-oriented, modern, fully automated infrastructure.

CI/CD PIPELINEPASSING

main → production#1247

✓ Build

45s

✓ Test

✓ Scan

30s

✓ Stage

✓ Deploy

38s

RECENT DEPLOYMENTS

feat/payment-apiproduction3m ago

fix/auth-tokenstaging1h ago

feat/dashboard-v2staging4h ago

98%

Success Rate

4m 12s

Avg Deploy

42/gün

Deploys

Continuous Integration & Deployment (CI/CD)

Achieve Zero Downtime deployments with automated build, security scanning, testing, and deployment processes that start the moment a developer pushes code to the repository.

GitLab CI, GitHub Actions, and Jenkins integration

Blue/Green & Canary deployment strategies

Automated security scanning (SAST/DAST)

Rollback and version management

INFRASTRUCTURE AS CODE

// main.tf

resource "kubernetes_deployment" "app" {

replicas = 3

image = "app:v2.4.1"

cpu = "500m"

memory = "256Mi"

}

$ terraform plan

+ kubernetes_deployment.app

+ kubernetes_service.app_lb

~ kubernetes_ingress.main (update)

Plan: 2 to add, 1 to change, 0 to destroy

Resources

v3.12

State Version

Infrastructure as Code (IaC)

Manage your entire server, network, and database infrastructure as code using tools like Terraform and Ansible. Version your infrastructure changes and make them reproducible.

Declarative infrastructure management with Terraform

Configuration automation with Ansible

Infrastructure version control with Git

Reproducible environment provisioning

KUBERNETES CLUSTERv1.29

Worker Nodes

node-01

12/16 pods

node-02

14/16 pods

node-03

8/16 pods

Deployments

api-gateway3/3Running

auth-service2/2Running

payment-svc3/3Running

worker-queue4/4Scaling

HPA Auto-Scaling Activemin:2 max:8

Kubernetes Orchestration

We build intelligent microservice clusters with high availability (HA) that automatically create server replicas when traffic increases (auto-scaling) and self-heal crashed services (self-healing).

Auto-scaling & Self-healing mechanisms

Service mesh & ingress management

Package management with Helm charts

Namespace isolation & RBAC

OBSERVABILITY STACK

REQUEST RATE2.4K/s

ERROR RATE0.02%

P99 LATENCY

p50p99

RECENT ALERTS

CPU usage normalized12m

Auto-scale completed (3→5)28m

High memory on node-021h

24/7 Monitoring, Logging & Alerting

We monitor every detail of all your microservices on a single screen, from CPU and RAM consumption to application error logs, using Prometheus, Grafana, and the ELK stack. Receive alerts within seconds via Slack, email, or SMS when defined thresholds are exceeded to prevent system outages.

Prometheus & Grafana dashboards

Centralized log management with ELK Stack

Slack/SMS/Email alert integration

Distributed tracing (Jaeger/Zipkin)