☁️ Cloud Solutions

Amazon Web Services provides scalable cloud infrastructure that powers our applications. We use AWS for hosting, database management, serverless functions, and content delivery to ensure reliable and high-performance solutions.

We run containerized workloads on AWS ECS (Elastic Container Service) for simplified orchestration without managing the control plane. ECS integrates natively with AWS services, enabling seamless CI/CD pipelines, auto-scaling, and service discovery.

We manage Docker images with AWS Elastic Container Registry (ECR) — a fully managed container registry integrated with ECS and EKS. ECR provides vulnerability scanning, lifecycle policies, and cross-account replication for enterprise-grade image management.

We configure AWS Application Load Balancer (ALB) for intelligent traffic distribution across containers, EC2 instances, and Lambda functions. ALB supports path-based routing, WebSockets, and seamless SSL termination for secure, high-availability architectures.

We build serverless architectures with AWS Lambda, creating event-driven, auto-scaling backend services. From API backends to data processing pipelines, serverless eliminates infrastructure management overhead.

We orchestrate complex workflows with AWS Step Functions — building serverless state machines that coordinate Lambda, ECS, SQS, and 200+ AWS services. Visual workflow definitions make multi-step processes debuggable, auditable, and resilient.

We decouple microservices with AWS SQS (Simple Queue Service) — fully managed message queues that buffer requests, smooth traffic spikes, and guarantee at-least-once delivery. SQS + Lambda powers our event-driven architectures at scale.

We use AWS S3 (Simple Storage Service) for scalable object storage — hosting static assets, storing backups, serving media files, and enabling data lakes. With 99.999999999% durability, S3 is the backbone of our cloud storage architecture.

We leverage AWS DynamoDB for serverless, NoSQL database workloads at any scale. From authentication systems at Jonni to high-throughput applications, DynamoDB delivers single-digit millisecond performance.

Docker containerization technology ensures consistent deployment across all environments. We use Docker to package applications with all dependencies, making deployment faster, more reliable, and scalable.

We deploy production workloads on Docker Swarm for simpler container orchestration when Kubernetes is overkill. Swarm's built-in load balancing, rolling updates, and secret management provide a lightweight yet powerful clustering solution.

We orchestrate containerized applications with Kubernetes for automated deployment, scaling, and management. Combined with Docker, K8s ensures your services are resilient, self-healing, and ready for production at any scale.

Microsoft's cloud computing platform

We configure Nginx as a high-performance web server, reverse proxy, and load balancer. From serving static Astro sites to proxying microservices, Nginx ensures fast, reliable delivery of your applications.

Linux is our primary operating environment for development, deployment, and server management. We leverage its stability, security, and vast ecosystem to run everything from Docker containers to production databases.

We automate development workflows, deployments, and system administration with Bash scripting. Shell scripting ties our toolchain together — from CI/CD pipelines to Docker orchestration and cloud management.

We use Redis for high-performance caching, session management, pub/sub messaging, and real-time data processing. Its in-memory architecture delivers sub-millisecond response times for latency-sensitive applications.

We leverage Hazelcast for distributed in-memory computing — real-time data grids, distributed caching, and stream processing across clusters. Its peer-to-peer architecture delivers linear scalability for low-latency, high-throughput applications.

We orchestrate data pipelines with Apache Airflow — defining, scheduling, and monitoring complex DAGs (Directed Acyclic Graphs) as code. From ETL workflows to ML training pipelines, Airflow ensures reliable, observable, and version-controlled data engineering.

We use GitLab for source control, CI/CD pipelines, and DevOps workflows. Its integrated approach to version control, code review, and automated deployment streamlines our entire development lifecycle.

We have hands-on experience with Bitbucket for Git repository management and CI/CD with Bitbucket Pipelines. Combined with Jira integration, it provides seamless traceability from issue to deployment.

We integrate Firebase for real-time databases, authentication, cloud functions, and mobile backend services. Used extensively at Jonni, it accelerates mobile app development with Google's serverless platform.