Cloud & DevOps Company in Austin

How much of the platform your own team intends to run afterwards is what really sizes an Austin cloud engagement. The three shapes are a scoped cloud migration plan or Kubernetes platform design, a typical migration to AWS, Azure, or GCP with Terraform modules, CI/CD pipelines, and observability, or a full platform engineering build covering multi-region, multi-cluster Kubernetes, GitOps with Argo CD, FinOps tooling, ERCOT-aware DR, and an SRE practice handover. Monthly DevOps retainers (on-call SRE, platform operations, FinOps review, security posture management) are scoped separately. Austin rates sit slightly below San Francisco and New York, in line with Seattle, and above Dallas and Houston for similar scope because of the Samsung, Tesla, and Oracle talent premium. We hold fixed-fee proposals rather than open T and M, and we publish the IaC repository so your in-house team can take over operations without lock-in.

There is no perfect answer, which is why we run a region selection workshop in discovery. AWS does not operate a full region inside Texas. The closest options are us-east-2 (Ohio, lowest latency from Austin at roughly 30ms), us-east-1 (Virginia, 40ms), and us-west-2 (Oregon, 50ms). AWS Local Zone Austin has been announced and gives sub-10ms latency for compute and storage parents to a parent region (likely us-east-2) once GA hits. Azure South Central US is in San Antonio, sixty miles south of Austin, which is the closest hyperscale presence for TDPSA-flagged Texas-resident data. GCP us-central1 is in Iowa, roughly 25ms from Austin. For most non-latency-critical workloads, AWS us-east-2 with us-west-2 DR is the default. For Samsung, Tesla, and AMD adjacent latency-sensitive workloads we wait for Local Zone Austin or use Equinix DA-Dallas and Data Foundry Austin colocation.

The February 2021 winter storm took down significant portions of the ERCOT grid for days, killed hundreds of Texans, and caused billions in damage including data center outages and forced evacuations at multiple Texas colocation facilities. Summer 2023 and 2024 heat domes have repeatedly pushed ERCOT to emergency conditions. Any Austin-resident workload that ignores this risk is engineering malpractice. Our standard ERCOT failover playbook includes active-passive multi-region with a primary in AWS us-east-2 (Ohio) or Azure East US 2 (Virginia) and a Texas-resident secondary only when TDPSA or contract terms require it, Route 53 health checks and DNS failover, RTO and RPO targets sized to your business tolerance, regular game day exercises that simulate ERCOT load shed, and on-site UPS plus generator review when your stack includes colocation in Equinix DA-Dallas, Data Foundry Austin, or T5 Austin. We document the playbook so an on-call engineer can execute it at 3am.

Yes, and this is most of what we do for Atlassian-adjacent, Indeed-adjacent, Bumble-adjacent, and Capital Factory portfolio Austin SaaS. The typical engagement is consolidating two-to-five years of Kubernetes drift — multiple EKS clusters, inconsistent IaC, partial Argo CD adoption, mixed observability stacks, and ballooning AWS spend — into a single platform engineering stance with golden paths, internal developer portal (Backstage or Port), policy-as-code (OPA Gatekeeper, Kyverno, or Checkov), and a clear FinOps practice. We ship Terraform or Pulumi modules, Argo CD App-of-Apps patterns, progressive delivery on Argo Rollouts or Flagger, observability standardisation on Datadog or Grafana with OpenTelemetry, and a developer experience uplift that gets feature teams off Jira tickets to platform ops. We have shipped to this cadence inside venture-funded Austin SaaS stacks.

Samsung Austin Semiconductor's Taylor fab is a $17B investment and the legacy Austin campus runs critical MES (manufacturing execution system), EDA (electronic design automation), and yield management workloads where every millisecond of round-trip latency costs measurable wafer throughput. The same constraints apply to AMD Austin, NXP, Applied Materials Austin, and Tokyo Electron's Austin operations. Pre-Local Zone Austin GA the right answer is Equinix DA-Dallas colocation with direct connect to AWS us-east-2 over Megaport or Equinix Fabric, Data Foundry Austin or T5 Austin for tighter latency, or on-prem with cloud burst for non-critical workloads. Post-Local Zone Austin GA the latency math gets much simpler. We size the right hybrid architecture based on actual workload latency budgets, not vendor marketing. Tesla Gigafactory Austin has similar constraints for production line MES.

The Texas Data Privacy and Security Act took effect July 1 2024 and applies to businesses processing personal data of more than 100,000 Texas residents or deriving more than 25 percent of revenue from selling personal data. TDPSA does not have explicit data residency requirements like the GDPR (which sets EU residency expectations through adequacy decisions) or PIPEDA in Canada, but contract terms with enterprise customers — Tesla, Oracle, Samsung, AMD — increasingly demand Texas-resident or US-resident data handling. Our architecture decisions document where personal data lives, log access through CloudTrail and Azure Activity Log, ship a TDPSA data inventory mapped to processing purposes, support consumer rights (access, correction, deletion, portability, opt-out of targeted advertising) through API tooling, and run DPIAs for high-risk processing. Azure South Central US (San Antonio) is the closest hyperscale region for Texas-resident data when that is contractually required.

Yes, and Austin SaaS has a recognisable FinOps pattern — venture-funded growth phase, hire ahead of revenue, AWS spend balloons during the scale-up, then the board asks the CFO to bring cloud spend under control in a CFO-to-Board cycle. Our FinOps practice covers a forty-five day initial audit (Cost Explorer, CUR analysis, Compute Optimizer, Trusted Advisor, third-party tooling on Vantage or CloudHealth), reserved instance and savings plan optimisation, spot instance and Karpenter adoption for stateless workloads, RDS and EBS right-sizing, S3 storage class lifecycle policies, data transfer cost reduction (the silent killer for multi-region SaaS), and ongoing showback or chargeback tooling so engineering teams own their spend. We typically find 25 to 45 percent of annualised AWS spend in optimisation within the first ninety days for venture-funded Austin SaaS, and we hold fixed-fee on the engagement so our incentives align with yours.

A typical Austin cloud migration (on-prem to AWS, AWS to multi-region, or Azure to GCP) takes twelve to thirty weeks from kickoff to cutover, with the long pole being application refactoring rather than infrastructure provisioning. Week 1 to 4 is discovery, region selection workshop, ERCOT failover design, and TDPSA data inventory. Week 5 to 12 is foundation build — landing zone, Terraform modules, IAM and SSO, networking, observability, CI/CD pipelines. Week 13 to 22 is application migration by wave, with each wave running shadow mode before cutover. Week 23 to 28 is cutover, hyper-care, and runbook handover. Week 29 onward is the optimisation phase where FinOps and SRE practice mature. We have shipped to this cadence inside Austin SaaS, semiconductor partner, and consumer brand stacks, and we hold fixed-fee on the engineering portion with cloud spend always pass-through.