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AlgoCoder
Service Lane / 02

Most teams overpay for cloud they don't understand.

We design, deploy, and operate cloud-native infrastructure across edge, AI fintech, and blockchain ecosystems. For the Clust GPU cloud platform we architected the Cloudflare-native edge end-to-end — Workers, Zero Trust networking, DDoS protection, DNS routing, load balancing — sitting in front of high-throughput GPU compute. For the Microvest AI Bitcoin investment platform we engineered the cloud and security posture supporting the custodian system and transaction infrastructure. And we ran the production Kubernetes on AWS and GCP that powered the ICICB-managed Atari blockchain ecosystem and ICICB direct — wallet backends, portal systems, blockchain nodes. Our engineers don't write infrastructure-as-code as a deliverable. They write it because they're going to maintain it themselves.

— The Problem

The patterns we see kill projects before they ship.

“Your AWS bill went up 40% this quarter. Nobody can tell you why.”

Cost overruns are almost never caused by the line item the dashboard highlights. They come from architecture choices made months earlier — egress patterns, idle clusters, over-provisioned instances, forgotten snapshots.

“Your cluster runs fine until traffic doubles. Then it doesn't.”

Most Kubernetes setups are tuned for the staging load profile. Real traffic exposes pod scheduling fights, HPA lag, ingress saturation, and DNS bottlenecks the moment numbers move past dev.

“Your deployments take 4 hours. Your competitor ships in 4 minutes.”

The slow-deploy organization is a symptom, not the disease. Underneath it is usually a missing GitOps loop, an opaque secret-management layer, and a CI pipeline that nobody actually owns.

— Our Approach

How we engage, scope, and ship.

Step 01

Cloud Audit

We map your current AWS / GCP / Cloudflare footprint, identify the cost and reliability hotspots, and produce a written report with prioritized fixes.

Step 02

Architecture Plan

We design the target state — clusters, namespaces, networking, observability, secrets, deploy pipelines — in a doc you can hand to anyone.

Step 03

Implementation

IaC-first build (Terraform, Helm, ArgoCD or Flux). Migration runbook, blue/green or canary cutover, zero-downtime by default.

Step 04

Operate

SRE retainer, on-call rotation, runbook curation, post-incident reviews. We keep the systems we build live.

— What We Deliver

The full stack for this lane — engineered to live in production.

Kubernetes & Containers

  • Multi-cluster Kubernetes on AWS EKS and GCP GKE
  • Custom controllers, operators, and CRDs
  • Service mesh (Istio, Linkerd) when justified
  • Helm chart authoring and Kustomize layering
  • Stateful workloads, StorageClasses, CSI drivers

Edge Infrastructure (Cloudflare)

  • Cloudflare Workers for edge compute at scale
  • Zero Trust networking and access policies
  • DDoS protection and WAF rule engineering
  • DNS routing and load balancing
  • Cloudflare R2, D1, KV for edge data

GitOps, CI/CD & Delivery

  • GitOps pipelines with ArgoCD or Flux
  • GitHub Actions / GitLab CI / Buildkite
  • Image signing, SBOM generation, supply-chain hardening
  • Progressive delivery (canary, blue/green, feature flags)
  • Secret management with Vault, External Secrets Operator

Observability & FinOps

  • Prometheus, Grafana, OpenTelemetry full stack
  • Distributed tracing (Tempo, Jaeger)
  • Log pipelines (Loki, ELK, Datadog)
  • FinOps audits with concrete cut-the-bill recommendations
  • SLO-based alerting and error budgets
— The Proof

Production cloud and edge infrastructure across GPU compute, AI fintech, and blockchain ecosystems — anchors of more than a decade of delivery.

Clust GPU cloud platform. Cloudflare-native edge architecture engineered end-to-end — Workers, Zero Trust networking, DDoS protection, DNS routing, load balancing — sitting in front of high-throughput GPU compute and the data infrastructure layer.

Microvest AI Bitcoin investment platform. Production cloud and security architecture supporting the custodian system and BTC transaction infrastructure — IAM boundaries, secret management, audit-grade deploy provenance for a regulated fintech context.

ICICB-managed Atari blockchain ecosystem and ICICB direct. Production Kubernetes on AWS and GCP — wallet backends, portal systems, blockchain nodes (including the ICICB Private Chain validator infrastructure: private EVM, 8–16 nodes, public-facing block explorer).

These are systems carrying real users and real workloads. Not slide-deck capability — shipped, monitored, and maintained.

Read the case studies →
  • Cloudflare-native edge for the Clust GPU cloud platform — Workers, Zero Trust, DDoS, DNS routing, load balancing engineered end-to-end.
  • Microvest cloud and security architecture — IAM boundaries, secret management, and audit-grade deploy provenance for a regulated AI Bitcoin investment platform.
  • Production K8s on AWS and GCP for the ICICB-managed Atari ecosystem — wallet backends, portal, smart-contract infrastructure.
  • K8s + private chain node ops for ICICB direct — Wallet, Portal, and the ICICB Private Chain (private EVM, 8–16 nodes, public-facing block explorer).
  • Multi-cluster operations, GitOps deploy pipelines, SLO-driven monitoring across the whole stack.
  • FinOps audits identifying real, addressable line-item cost — not generic best-practice slideware.
In addition to further engagements we are not in a position to name; the projects cited here are representative of the depth of our delivery.
— Engagement Models

Three ways to bring AlgoCoder into your build.

Cloud Audit (Fixed Fee)

Two-week deep audit producing a written report with prioritized fixes, projected savings, and an architecture plan. Best as a first engagement.

Project-Based

Migration, platform build, or specific workload modernization. Defined scope and timeline, fixed price.

SRE Retainer

Monthly retainer covering on-call coverage, incident response, runbook curation, and ongoing platform work. Best for production systems that need to stay up.

— Honest Answers

The questions enterprise buyers actually ask.

Are you AWS certified / a partner?
AWS Partner Network application is in progress. Production AWS, GCP, and Cloudflare experience is documented through the Clust GPU cloud platform edge architecture, the Microvest cloud and security posture, and the ICICB-managed Atari ecosystem and ICICB direct deployments (including the private EVM chain validator infrastructure). Certification is a marketing badge — track record is the actual signal.
Do you work with on-call rotations and incident response?
Yes — through the SRE retainer engagement model. We carry the pager for the systems we build.
What's your minimum engagement size?
2-week minimum for the Cloud Audit. 4-week minimum for project-based work. 3-month minimum for SRE retainer.
Cloudflare or Kubernetes — how do you choose?
Workload first, dogma never. Stateless, latency-sensitive, globally distributed work tends to win on Cloudflare Workers. Stateful, complex orchestration usually needs Kubernetes. Most real platforms use both — Clust runs Cloudflare-native edge in front of GPU compute; the ICICB-managed Atari ecosystem runs production Kubernetes for backend services.
Do you migrate from existing infrastructure?
Yes — we've done lift-and-shift, re-platform, and full rebuild migrations. The right pattern depends on what you're trying to keep, what you're trying to fix, and how much downtime budget you actually have.
Can you reduce our cloud bill without breaking anything?
Usually, yes. The audit identifies where, how much, and the implementation risk for each fix. We don't recommend cuts that compromise reliability.

Run cloud infrastructure the way you actually want it to run.

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