Technology Stack

At Cognition Cloud Consulting, we leverage a cutting-edge technology stack to develop robust, scalable, and secure solutions tailored to modern enterprise needs. Our stack is built on best-in-class tools and frameworks that ensure high performance, seamless deployments, and operational excellence.

Core Technologies

  • Java 21: Our backend services are powered by Java 21, utilising its latest performance enhancements, virtual threads, and structured concurrency to build high-throughput, low-latency applications. These services can achieve up to 1million messages per hour with just 512Mb of memory and dual core ECS Instance.
  • Microservices Architecture: We design microservices-driven architectures that promote scalability, modularity, and ease of maintenance. The services can also be event-driven.
  • RESTful & GraphQL APIs: Our APIs are designed to be highly efficient, supporting both RESTful and GraphQL approaches for seamless client-server interactions.

Infrastructure & Cloud-Native Deployments

  • Terraform: We automate infrastructure provisioning and management using Terraform, enabling infrastructure-as-code (IaC) for repeatable and scalable deployments.
  • Docker: Containerized applications ensure consistency across development, testing, and production environments.
  • Kubernetes: We orchestrate and manage containerized applications using Kubernetes (EKS), ensuring high availability, self-healing, and auto-scaling capabilities.
  • AWS (Amazon Web Services): Our cloud infrastructure is powered by AWS, utilizing services such as:
    • EC2 / ECS for scalable compute power
    • S3 for object storage
    • RDS/Aurora for managed relational databases
    • DynamoDB for high-performance NoSQL databases
    • Lambda for serverless compute
    • EKS for Kubernetes-based container management or Fargate
    • VPC, IAM, and Security Groups for network security and access control

CI/CD & DevOps

  • GitHub Actions / Jenkins / GitLab CI/CD: We implement automated pipelines for continuous integration and delivery, ensuring smooth, frequent deployments.
  • Helm: Kubernetes deployments are managed using Helm charts for simplified version control and environment consistency.
  • Prometheus & Grafana: Real-time monitoring and observability enable proactive system health checks and performance optimisation.
  • ELK Stack (Elasticsearch, Logstash, Kibana): Centralised logging and analytics enhance debugging and operational insights.

Security & Compliance

  • HashiCorp Vault: Secrets management and encryption-as-a-service ensure secure handling of credentials and API keys.
  • AWS WAF & Shield: Web application firewalls and DDoS protection ensure resilience against cyber threats.
  • IAM & Role-Based Access Control (RBAC): Strict access control policies enforce least-privilege principles across infrastructure and applications.
  • OAuth 2.0 over TLS / SSL for communications inside the ECS clusters.

Scalability & Performance Optimization

  • Event-Driven Architecture: We use Kafka, RabbitMQ, or AWS SQS for asynchronous messaging and real-time data processing.
  • Load Balancers (AWS ALB/NGINX): Ensure optimal traffic distribution and failover mechanisms.
  • Redis / Memcached: In-memory caching solutions for ultra-fast data retrieval and reduced database load.
  • Auto-scalability: enabled by setting the correct rules around ECS instances to act as on-demand that scale with usage.

Observability & Automation

  • Terraform & Ansible: Used for provisioning and configuration management.
  • AWS CloudWatch & X-Ray: Application monitoring, logging, and distributed tracing for diagnosing performance bottlenecks.
  • 24/7 monitoring: Enabled by using CloudWatch Alarms and OpsGenie integration.
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