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Production-grade cloud systems across AWS, Azure, and Google Cloud - from greenfield architectures to complex migrations, data pipelines, and archival platforms we've built and operate ourselves.
We architect, migrate, and operate cloud infrastructure across AWS, Azure, and Google Cloud - with deep specialization in cloud-native data pipelines, archival platforms, enterprise security architecture, and production Kubernetes workloads. We don't just advise - we've built our own cloud products in production, giving every engagement the benefit of real operational experience, not just theoretical best practices.
Audit existing infrastructure, applications, and dependencies. Identify migration candidates and cloud-readiness gaps.
Design target cloud architecture — VPC layout, security groups, IAM policies, DR strategy, and cost model.
Detailed migration runbook with phased approach, rollback procedures, downtime windows, and data migration strategy.
Execute migration with Infrastructure as Code. Lift-and-shift, re-platform, or re-architect based on each workload's needs.
Right-sizing instances, implementing auto-scaling, reserved capacity planning, and cost anomaly detection.
Ongoing monitoring, patching, security compliance, cost reporting, and 24/7 incident response.
Each practice is backed by production deployments - including our own cloud-native archival product, enterprise data pipelines, and secure multi-tenant platforms.
Greenfield cloud-native architectures and complex legacy-to-cloud migrations. Infrastructure as Code using Terraform and CloudFormation. Multi-region deployments, high-availability patterns, and disaster recovery design. Strategies chosen per workload - not per sales quota.
Production data pipelines for enterprise compensation platforms, HR systems, and analytical workloads. Deep expertise in Azure Data Factory (feed-driven orchestration, idempotent pipelines, zero-secret architectures), AWS Glue, and cloud-native ETL patterns.
Cloud-native archival platforms with tiered storage, media processing pipelines, resumable uploads, signed URL delivery, and fine-grained access control. We built and operate our own production media asset management platform (Cloud MAM) on Google Cloud Storage.
Cloud security architecture, IAM design, encryption strategies, and compliance frameworks. Key Vault / Secrets Manager / KMS patterns. VPC segmentation. Zero-trust architectures. Federated identity (Entra, Okta, IAM).
Production Kubernetes workloads on EKS, AKS, and GKE. Containerization strategies, Helm chart design, service mesh patterns, and CI/CD pipeline integration.
Cloud cost visibility, right-sizing, reserved capacity planning, and cost anomaly detection. We routinely achieve 20-40% cost reductions through instance right-sizing, storage-class optimization, and architectural refactoring.
Target-state architecture with network topology, security model, IAM design, and DR strategy.
Terraform/CloudFormation templates for reproducible, version-controlled infrastructure provisioning.
Step-by-step migration plan with rollback procedures, validation checkpoints, and communication plan.
Detailed cost comparison (current vs. cloud) with optimization recommendations and projected savings.
Security posture assessment with compliance mapping (SOC 2, ISO 27001, HIPAA as applicable).
Whether you’re modernizing legacy systems, building a new product, or need senior engineering muscle — we’re ready.
hello@periscopelabs.io · +880 9611 656808 · +880 1626 934015 · +1 646 267 9820
