Cloud & DevOps Company in New York

Regulatory documentation, not cluster count, is what inflates New York platform work. A scoped landing zone build on AWS, Azure, or GCP for a New York fintech or SaaS is the baseline. A full platform engineering engagement (EKS or AKS with ArgoCD, observability on Datadog, policy-as-code, secrets, NYDFS-aligned controls) carries that documentation weight. Ongoing platform-as-a-service retainers for a small NYC engineering team are the steady-state option. Scope drivers include organisation structure, identity federation, network topology, baseline Terraform modules, and a reference CI/CD pipeline. New York rates sit above national averages because of the regulatory documentation overhead and the Datadog-and-finance talent premium. We quote fixed-fee on scoped deliverables and never run open-ended time and materials on platform work.

NYDFS 23 NYCRR Part 500 (now in the amended Part 500 effective November 2023) requires covered entities to maintain a written cybersecurity programme, governance, risk assessments, third-party risk management under 500.11, multi-factor authentication, encryption in transit and at rest, incident response, and now annual certification by a senior officer plus CISO reporting to the board. Our landing zone templates encode the technical controls: MFA enforced through Okta or Entra ID with FIDO2, encryption defaults on every storage class, CloudTrail or Azure Monitor with immutable retention, segregated production accounts, and break-glass procedures with logged justification. For Part 500.11 third-party risk we deliver the AWS or Azure shared responsibility mapping and a SOC 2 Type II package suitable for the senior officer certification.

Most New York firms run us-east-1 as primary, which makes the December 2021 and June 2023 control plane incidents a recurring board-level question. We design with three principles. First, no critical control plane dependency lives only in us-east-1, which includes Route 53 health checks, IAM identity centre, and S3 buckets used for break-glass. Second, us-east-2 (Ohio) is the active DR region for stateful workloads, with RDS or Aurora cross-region replication, S3 Cross-Region Replication for critical buckets, and DNS failover tested quarterly. Third, the cutover runbook is rehearsed, not theoretical, with a documented RTO and RPO that internal audit has approved. For firms that cannot tolerate any single-region risk we layer Azure East US 2 or GCP us-east4 as a cross-cloud DR posture, accepting the operational cost in exchange for the resilience posture.

Yes. The Federal Reserve's SR 11-7 guidance on model risk management applies to any model used in regulated business decisions, including ML models deployed through your cloud platform. Our platform builds for SR 11-7 covered firms include reproducible model artefacts in versioned S3 or Azure Blob with object lock, deployment pipelines that enforce challenger model testing and shadow-mode rollouts, immutable inference logs feeding your model risk platform (typically built on Splunk or a custom warehouse), and segregation of model development and model validation environments enforced through separate AWS accounts or Azure subscriptions. We coordinate with your model risk management function on the SR 11-7 documentation, but we own the infrastructure controls that make the documentation defensible during an OCC or Fed examination.

Both, depending on your risk posture. GitHub Actions is the de facto standard for New York product engineering teams (including most NYC SaaS, Datadog, MongoDB, and increasingly the bulge bracket internal platforms) and we deliver hardened reusable workflows, OIDC federation to AWS or Azure, environment protection rules with required reviewers, and secret scanning plus dependency review enforced on every pull request. For air-gapped finance estates (typically core banking, trading systems, or any workload subject to SEC 17a-4 immutability) we deliver self-hosted GitLab on EKS with JFrog Artifactory for binary management, Sigstore Cosign for signed artefact verification, and the change advisory board integration your operational risk team requires. Pipeline outputs feed your existing SIEM with evidence retention configured to your regulatory minimum.

Datadog is headquartered in NYC and is the default observability stack for most New York enterprises, so we build for it natively. Engagements typically include APM with distributed tracing across services, infrastructure monitoring with per-account billing tags, log management with retention tiered to NYDFS Part 500.06 audit trail requirements (currently five years for covered entities), real user monitoring on customer-facing surfaces, and synthetics for critical user journeys. SLOs are defined per service with error budgets that gate releases through GitHub Actions or ArgoCD. For firms that need to control Datadog cost we layer Grafana plus Mimir plus Loki plus Tempo as a self-hosted complement for high-cardinality infrastructure metrics, sending only the high-value signals into Datadog. Splunk and New Relic estates are equally supported.

Kubernetes (EKS, AKS, or GKE) is the right answer when you have stateful workloads, multi-tenant SaaS architecture, complex networking requirements, or a platform engineering team large enough to operate it. Serverless (Lambda, Azure Functions, Cloud Run) is correct for event-driven workloads, predictable spike traffic, and teams that want to minimise operational surface. Most New York engagements end up hybrid: stateful banking core or trading-adjacent workloads on EKS with Karpenter for cost-aware scaling, customer-facing APIs and batch workloads on Lambda or Cloud Run behind API Gateway or Cloudflare. We will refuse to push you onto Kubernetes if your team cannot operate it, because the operational cost of a half-staffed platform team is the biggest hidden expense in New York cloud spend.

Yes. New York financial firms with state and local government clients (municipal bond underwriting, public pension administration, NYC agency contracts) often need FedRAMP Moderate or High alignment even when they are not federal contractors. We build inside AWS GovCloud (US-East) or Azure Government, deliver the System Security Plan templates aligned with NIST 800-53 Rev. 5, and produce the boundary documentation, control implementation summaries, and continuous monitoring artefacts that a 3PAO assessment needs. For commercial workloads adjacent to FedRAMP environments we maintain account isolation, separate identity federation paths, and documented data flow diagrams that keep the commercial boundary clearly outside the authorisation boundary. We do not lead the 3PAO engagement, but we deliver the technical artefacts that make it possible.