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Services

Services that keep product teams shipping.

Senior platform, cloud, data, and DevOps help for teams that need outcomes — not another advisory deck. Choose retained help, a scoped project, or emergency response and get clear deliverables, written decisions, runbooks, and next steps your team can act on.

Portfolio

A practical offer map for platform, cloud, data, and AI work.

Start with the business problem — faster releases, safer infrastructure, controlled cloud spend, AI readiness, or recovery confidence. We shape the work into a service offer with concrete outputs, visible tradeoffs, and a handoff your team can maintain.

AI

AI & agent platforms

Scope and ship feasible AI systems: RAG assistants, LLMOps foundations, bounded agent workflows, evaluation loops, and governed tool access.

  • Use-case and data readiness before implementation starts
  • RAG, agent, and model operations with traces and cost visibility
  • Tool, permission, approval, and handoff boundaries operators can review
Plan AI services
Data

Data platform engineering

Turn scattered databases, queues, search, and analytics plumbing into a reliable data platform your team can trust and recover.

  • Managed PostgreSQL, Kafka, and OpenSearch patterns
  • Pipeline readiness for product analytics and warehouse teams
  • Backup, restore, and retention design with testable runbooks
Explore data platforms
DevOps

DevOps as a Service

Retained senior DevOps capacity for teams that need CI/CD, platform ownership, release support, and production operations without hiring a full platform team.

  • Slack-accessible fractional platform ownership
  • Delivery pipelines and infrastructure as code
  • Roadmap, release, and incident follow-through
See DevOps retainers
Delivery platforms

Managed Git Server

Choose and operate GitLab, Gerrit, Gitea, or Forgejo as one managed git server service with clear hosting, identity, backup, upgrade, and runner-integration boundaries.

  • Managed git server option comparison before platform changes
  • One operated service model for GitLab, Gerrit, Gitea, or Forgejo
  • Custom runner integration tied to review and release workflows
Explore Managed Git Server
Cloud

Cloud migration

Move workloads from legacy hosting, VMware, or unmanaged cloud accounts into cloud environments with clearer security, observability, and cost control.

  • Migration assessment, dependency map, and wave plan
  • Landing zones, account structure, and access model
  • Cutover runbooks with rollback paths and ownership notes
Plan a migration
Virtualization

VMware to Proxmox migration

Replace VMware vSphere with Proxmox VE through assessment, target architecture, controlled VM conversion, backup planning, cutover, rollback, and team handoff.

  • VMware estate assessment and Proxmox cluster design
  • VM conversion/import plan with validation gates
  • Proxmox Backup Server and operating runbooks
Plan Proxmox migration
Kubernetes

Kubernetes adoption

Adopt Kubernetes without turning every product team into cluster operators. We design, launch, harden, and hand off platforms across managed and self-hosted environments.

  • Cluster architecture, rollout plan, and environment strategy
  • GitOps delivery model with reviewable changes
  • Observability, runbooks, and platform handoff
Adopt Kubernetes
Security

DevSecOps

Move security from periodic findings into the delivery path with policy-as-code, vulnerability management, supply-chain checks, and compliance-ready evidence.

  • CI/CD security gates that developers can understand
  • Secrets, RBAC, and network-policy hardening
  • Audit findings translated into prioritized delivery work
Harden delivery
AWS

AWS Marketplace onboarding

Technical packaging and provisioning support for SaaS and platform products that need a credible AWS Marketplace delivery path.

  • Provisioning, metering, and entitlement architecture
  • Deployment automation for buyer environments
  • Operational handoff documentation for support teams
Explore Marketplace onboarding
AWS

Graviton migration

Assess and move AWS workloads to Graviton only where compatibility, performance, and cost data justify the migration.

  • Compatibility assessment for runtimes and dependencies
  • EKS node group, build, and workload rollout plan
  • Cost and performance validation after cutover
Explore Graviton migration
Resilience

Disaster recovery planning

Define realistic RTO/RPO targets, automate recovery paths, and test failover before production pressure exposes weak points.

  • DR architecture tied to business-critical services
  • Backup and restore automation with verification steps
  • Tabletop and technical recovery tests with follow-up actions
Design DR readiness
01

Ongoing Retainer

Retained senior platform help with a clear monthly scope and visible priorities.

Who this is for

Teams shipping product while platform work keeps stealing cycles: fragile deployments, rising cloud spend, unclear ownership, or production systems that need senior attention before they become incidents.

Tech covered

AWS · Azure · GCP · Kubernetes · Terraform · Pulumi · ArgoCD · GitHub Actions · GitLab CI · Prometheus · Grafana

Deliverables and evidence

  • 01Named senior engineer available in Slack for priority triage and delivery planning
  • 02Monthly backlog of platform, reliability, cost, and security work agreed with your team
  • 03CI/CD pipeline design, implementation, and ongoing maintenance
  • 04Kubernetes cluster care across dev, staging, and production where applicable
  • 05Version-controlled infrastructure with Terraform or Pulumi and reviewable changes
  • 06Monthly infrastructure review with shipped work, risk notes, and cost observations
02

Project Engagement

Fixed-scope platform work with defined acceptance criteria and a handoff plan.

Who this is for

Teams with a specific outcome to deliver: Kubernetes migration, CI/CD rebuild, observability rollout, reliability audit, security hardening, or cloud cost reduction where the numbers support the change.

Tech covered

AWS · Azure · GCP · Kubernetes · k3s · Helm · Argo CD · Terraform · PostgreSQL · Kafka · OpenTelemetry

Deliverables and evidence

  • 01Discovery notes, technical scope, and acceptance criteria before implementation starts
  • 02Architecture, security, or delivery review captured in a written decision record
  • 03Hands-on implementation with pull requests, runbooks, and operational documentation
  • 04Knowledge transfer session with your team and recorded decisions for future owners
  • 0530-day post-delivery support period for fixes, questions, and adoption friction
03

Emergency Response

Rapid production help for outages, failed deploys, and unstable systems.

Who this is for

Engineering teams in an active incident or watching a critical system degrade. You need an experienced operator to help stabilize first, then leave behind a clear record of what happened and what to fix next.

Tech covered

AWS · Azure · GCP · Kubernetes · Docker · PostgreSQL · MySQL · Kafka · Elasticsearch · Nginx

Deliverables and evidence

  • 01Severity and response target confirmed at intake based on availability and impact
  • 02Senior engineer joins your communication channel to coordinate stabilization work
  • 03Incident timeline, root-cause analysis, and written report after the system is stable
  • 04Prioritized remediation plan with owners, tradeoffs, and follow-up work
  • 05Optional retained monthly credits for future emergency coverage

Capabilities

Proof points in the stack

  • Kubernetesk8s, k3s, RKE2 — production clusters on any cloud or bare metal
  • CI/CD pipelinesGitHub Actions, GitLab CI, Buildkite — from commit to deploy
  • Infrastructure as CodeTerraform, Pulumi — version-controlled, peer-reviewed, auditable
  • GitOpsArgoCD, Flux — declarative delivery and drift detection
  • AWSEC2, EKS, RDS, S3, CloudFront, Lambda, Route 53, IAM
  • GCPGKE, Cloud SQL, Cloud Run, Pub/Sub, Artifact Registry, Cloud Armor
  • AzureAKS, Azure SQL, App Service, Azure DevOps, Entra ID
  • PostgreSQLHA clusters, read replicas, pgBouncer, point-in-time recovery
  • MySQL · MongoDBProduction-grade managed databases as supporting service components
  • Kafka · OpenSearchEvent streaming and full-text search at scale
  • ObservabilityPrometheus, Grafana, OpenTelemetry — metrics, traces, SLO dashboards
  • Log aggregationLoki, ELK — structured logging with retention policies
  • AI platformsAgent platforms, RAG workloads, model gateways, observability, governance controls
  • Data platformsStreaming, search, analytics plumbing, backups, restore paths, retention policy
  • Cloud migrationLanding zones, account structure, migration waves, cutover and rollback runbooks
  • VMware to ProxmoxProxmox VE architecture, VM conversion/import, Proxmox Backup Server, validation, handoff
  • Security hardeningCIS benchmarks, RBAC, network policies, vulnerability scanning
  • Secrets managementVault, Sealed Secrets, AWS Secrets Manager — no plaintext configs
  • DevSecOpsPolicy-as-code, CI/CD security gates, supply-chain checks, compliance operations
  • FinOpsCost optimization, reserved instance strategy, rightsizing, Graviton assessment, budget alerts
  • Disaster recoveryRTO/RPO planning, automated backups, tested DR runbooks
  • Service meshIstio, Linkerd — traffic management and zero-trust networking
  • CDN & edgeCloudflare, CloudFront — global distribution, DDoS mitigation
  • Self-hosted toolingGitLab, Bitwarden, Prometheus stacks — supporting tools for delivery teams
  • Data sovereigntyEU-resident deployments with compliance-ready architecture

Not sure which engagement fits?

Tell us what you're trying to solve, what is at risk, and when you need movement. We'll recommend the right engagement model, outline likely next steps, and say so clearly if the work is not a fit.