Cloud & DevOps

A growth-stage SaaS company was spending $28k per month on AWS with no clear picture of where the money went. We ran a two-week FinOps audit, right-sized 120 instances, moved stateless workloads to Fargate Spot, purchased Compute Savings Plans at the correct commitment level, and cleaned up forgotten dev environments, cutting the bill to $10.8k per month with better performance.

A healthtech startup needed SOC 2 Type II and HIPAA compliance before closing an enterprise deal. We designed a compliant AWS architecture with dedicated VPCs per environment, field-level encryption through KMS, audit logging to an immutable S3 bucket, IAM through AWS SSO, and onboarded them to Vanta for continuous evidence collection. They passed SOC 2 Type II with zero findings three months after the project started.

A fintech company had a Kubernetes platform that three out of four engineers were afraid to touch. We audited their EKS setup, simplified down to a GitOps workflow with Argo CD, replaced custom scripts with Helm charts, documented every operational runbook, and onboarded their team through pair-ops sessions, turning Kubernetes from a liability into an asset.

A media company needed to handle 40x normal traffic during a viral content event. We designed an auto-scaling architecture on AWS with CloudFront, Lambda@Edge for personalization, an ALB fronting Fargate services with step-scaling policies, and aggressive caching at multiple tiers, handling the spike with zero downtime and a 12 percent increase in cost for the day instead of a meltdown.

A seed-stage startup needed a real CI/CD pipeline after losing a day to a manual deploy gone wrong. We built GitHub Actions workflows with parallel test execution, automated preview environments on every PR, a staged deploy to canary then production, and one-click rollback, cutting deploy time from 45 minutes of manual work to 8 minutes of fully automated pipeline with zero regressions in the first two months.

A multi-region SaaS had an on-prem Postgres that had become the sole bottleneck for the business. We designed a migration to Aurora Postgres with read replicas in three regions, connection pooling through PgBouncer, change data capture to a data warehouse, and a cutover plan we rehearsed twice, executing the migration with under four minutes of customer-facing downtime.

A Series B company had fifteen AWS accounts with no unified IAM or cost visibility. We stood up AWS Organizations with Control Tower, consolidated billing, applied Service Control Policies for guardrails, integrated SSO through Okta, and rolled out a standard account baseline. Cost visibility became instant and compliance posture improved without slowing engineering down.

A DTC brand had a self-hosted infrastructure that was one outage away from a crisis with no disaster recovery plan. We migrated them to AWS with multi-AZ deployment, automated cross-region backup replication, defined RTO and RPO targets with the business, wrote runbooks, and ran a simulated region failure exercise. They passed a security review with a major retailer partner.

A marketplace startup had a Kubernetes cluster running 80 percent over-provisioned because node autoscaling was misconfigured. We deployed Karpenter, tuned pod resource requests based on actual usage data from Prometheus, enabled Vertical Pod Autoscaler in recommendation mode, and moved non-critical workloads to Spot instances, cutting cluster cost by 58 percent.

A B2B SaaS needed a secrets management solution that was not just dot-env files in production. We rolled out AWS Secrets Manager with automatic rotation for database credentials, integrated it with their Kubernetes deployments through the External Secrets Operator, and purged every secret from their repo history, closing a critical finding on their security review.

A high-growth startup was losing engineering time to flaky infrastructure. We added distributed tracing with OpenTelemetry and Datadog, built SLO dashboards for every customer-facing service, rewrote their alerting around error budgets instead of raw thresholds, and cut their alert volume by 80 percent while shortening incident resolution from hours to minutes.

An enterprise needed to migrate 40 legacy VM workloads from their colocated datacenter to AWS on a hard deadline. We built a Terraform-based landing zone, used AWS Application Migration Service for lift-and-shift of the time-critical workloads, and identified the eight workloads worth rearchitecting to Fargate or Lambda during the move, completing the migration three weeks ahead of schedule.