CLOUD · DEVOPS · PLATFORM ENGINEERING

Infrastructure that ships
fast and stays up.

AWS, GCP, and Azure architecture. Kubernetes platform engineering. CI/CD pipelines that make deployments boring. Built by engineers who've carried pagers at 3am - not just drawn architecture diagrams.

Certified on
AWS
Google Cloud
Azure
Kubernetes
Terraform
AWS
EC2, EKS, Lambda, RDS, S3
Google Cloud
GKE, Cloud Run, BigQuery, Spanner
Microsoft Azure
AKS, Functions, Cosmos DB, Entra
Kubernetes
EKS, GKE, AKS, on-prem clusters
Multi-cloud & Hybrid
Unified IaC, networking, identity

Six disciplines. One team
that owns the outcome.

Cloud work goes wrong when specialists hand off to other specialists without anyone responsible for the whole. Our engineers cover the stack end-to-end and carry accountability with it.

01

Cloud Architecture & Platform Design

Good cloud architecture is invisible - it's only bad architecture you notice, usually at 2am during a traffic spike. We design AWS, GCP, and Azure environments that are built to scale, cost-optimised from day one, and comprehensible to the engineers who maintain them.

Well-Architected reviews - Independent assessment of your existing infrastructure against AWS, GCP, or Azure best practices
Greenfield architecture - Full design from scratch - network topology, account structure, compute, storage, and security controls
Multi-region & HA design - Active-active and active-passive designs for applications where downtime costs real money
Cost optimisation - FinOps reviews that typically find 25–40% savings on existing cloud spend without degrading performance
~/infra/main.tf
resource
"aws_eks_cluster"
"production"
{
# EKS cluster with managed node groups
name
=
"prod-cluster-eu-west-2"
version
=
"1.29"
vpc_config
{
subnet_ids
=
module
.vpc.private_subnet_ids
endpoint_private_access
true
endpoint_public_access
false
}
02

Kubernetes & Container Platform Engineering

Running Kubernetes in production is a different discipline from deploying it. We build and operate production-grade Kubernetes platforms - cluster architecture, workload security, networking, observability, and the developer experience layer that makes engineers actually want to use it.

Platform engineering - Internal developer platforms built on Kubernetes that give teams self-service deployment without infra expertise
Cluster hardening - CIS benchmark compliance, Pod Security Standards, OPA/Gatekeeper policy enforcement, network policies
GitOps & CD - ArgoCD and Flux configurations that make the cluster the single source of truth for application state
Observability stack - Prometheus, Grafana, Loki, and Tempo - full metrics, logs, and traces without the vendor lock-in
kubectl get pods -n production
api-7f4b-xk2p
api-7f4b-m9nw
api-7f4b-vr3t
api-7f4b-q8sl
web-6c8d-jh2m
web-6c8d-kp4r
web-6c8d-ns7v
web-6c8d-tw1b
auth-9a2c-fz5x
auth-9a2c-yl6m
cache-redis-0
db-pg-primary
247 Running · 0 Pending · 0 Failed
03

CI/CD Pipeline Design & Developer Experience

The best measure of a CI/CD pipeline is how long engineers spend thinking about it. When it works properly, they don't. We build pipelines on GitHub Actions, GitLab CI, and Tekton that run in under 10 minutes, fail loudly and clearly, and deploy to production without manual steps.

Pipeline architecture - Test, build, scan, and deploy stages designed around your specific stack and deployment targets
Shift-left security - SAST, DAST, container scanning, and secret detection baked into the pipeline - not bolted on after
Release engineering - Feature flags, canary deployments, blue-green strategies, and automated rollback on metric degradation
Developer portals - Backstage-based portals that give developers a single pane for services, documentation, and deployments
~/infra/main.tf
# GitHub Actions - production deploy
deploy
:
needs
:
[test, security-scan]
if
:
github.ref == "refs/heads/main"
steps
-
name
Deploy to EKS
uses
aws-actions/eks-deploy@v2
with
cluster-name:
prod-eu-west-2
image-tag:
${{ github.sha }}
# Canary: 10% traffic → full on SLOs
strategy:
canary
04

Infrastructure as Code & GitOps

Infrastructure defined in code is auditable, repeatable, and reviewable. Infrastructure defined in the AWS console by a consultant who has since left is none of those things. We build Terraform and Pulumi codebases that your team can understand, modify, and own.

Terraform & OpenTofu - Module-based codebases with state management, drift detection, and CI-enforced plan/apply workflows
Pulumi for polyglot teams - IaC in TypeScript, Python, or Go when Terraform's HCL becomes a bottleneck
Existing infra import - Systematically import existing manually-provisioned resources into IaC control without disruption
Policy as code - Sentinel, OPA, and Checkov policies enforced in the pipeline before anything reaches production
kubectl get pods -n production
api-7f4b-xk2p
api-7f4b-m9nw
api-7f4b-vr3t
api-7f4b-q8sl
web-6c8d-jh2m
web-6c8d-kp4r
web-6c8d-ns7v
web-6c8d-tw1b
auth-9a2c-fz5x
auth-9a2c-yl6m
cache-redis-0
db-pg-primary
247 Running · 0 Pending · 0 Failed
05

Cloud Migration

Cloud migration projects fail most often for non-technical reasons: scope that grows mid-project, dependencies nobody documented, and a cutover plan that looked fine on a slide. We've run migrations at every scale and we spend as much time on the programme management as the engineering.

Migration assessment - Application portfolio analysis, dependency mapping, and a prioritised wave plan before a single server moves
Lift-and-shift with optimisation - Rehost first to reduce project risk, then modernise - not the other way around
Re-platforming & re-architecting - Containerisation, managed services adoption, and database modernisation where the ROI justifies it
Data migration - Database, object storage, and data warehouse migrations with zero-downtime cutover patterns
~/infra/main.tf
# Migration wave 1 - stateless services
moved
{
from
=
module.legacy.aws_instance.app
to
=
module.eks.kubernetes_deployment.app
}
# Cut-over: weighted DNS → 0% legacy
resource
"aws_route53_record" "api" {
weighted_routing_policy
{
weight =
100
# legacy: 0
}
06

SRE & Ongoing Platform Operations

Platform engineering doesn't end at go-live. We offer embedded SRE support and managed platform operations - on-call coverage, incident response, capacity planning, and continuous improvement - for teams that want expert hands on the platform without the overhead of building an in-house SRE team.

SLOs & error budgets - Service level objective design with error budgets that give engineering teams the autonomy to move fast
On-call & incident response - 24/7 on-call coverage, runbook development, and blameless postmortem facilitation
Capacity planning - Predictive scaling strategies, load testing, and traffic forecasting to prevent the surprises
Platform evangelism - Internal enablement and documentation so your product engineers understand and trust the platform they're building on
kubectl get pods -n production
api-7f4b-xk2p
api-7f4b-m9nw
api-7f4b-vr3t
api-7f4b-q8sl
web-6c8d-jh2m
web-6c8d-kp4r
web-6c8d-ns7v
web-6c8d-tw1b
auth-9a2c-fz5x
auth-9a2c-yl6m
cache-redis-0
db-pg-primary
247 Running · 0 Pending · 0 Failed

Infrastructure opinions from engineers
who've been on-call for it

There's a difference between architects who design cloud environments and engineers who've kept them running at 3am. We're the second kind.

01
Production-first design

We design for failure from the start - not as an afterthought. Blast radius minimisation, graceful degradation, and runbooks are part of the architecture, not something added before an audit.

02
No vendor preference

We don't have reseller arrangements that earn us more margin when we recommend one cloud over another. The right cloud for your workload might be AWS, GCP, Azure, or a mix. We'll say which, and why.

03
We write the runbooks

Every deployment comes with documentation your own engineers can follow. We don't retain institutional knowledge as a business model - your team should be able to operate what we build.

04
Cost is an engineering problem

FinOps isn't a separate engagement we upsell. We build cost visibility, tagging standards, and rightsizing reviews into every cloud environment from the beginning.

05
Security baked in, not bolted on

IAM least-privilege, encrypted secrets management, network segmentation, and compliance controls are architectural defaults - not a security review checklist at the end of the project.

06
Handover that actually works

We don't design systems that require Sequere to operate them. Every engagement includes internal documentation, hands-on training, and a structured transition to your team's ownership.

How we move you to cloud
without the horror stories

Most cloud migrations fail because of poor planning, not poor execution. We spend 30% of the engagement on the first two phases - so the last two are straightforward.

Phase 1
Discover & Assess

Full application portfolio inventory, dependency mapping, and cloud-readiness scoring. No assumptions - we look at what's actually there.

Application inventory
Dependency map
Migration wave plan
Target architecture draft
Phase 2
Architect & Plan

Landing zone design, account structure, network topology, security controls, and a detailed migration runbook per application wave.

Landing zone design
Security baseline
Network architecture
Runbook per application
Phase 3
Migrate & Validate

Wave-by-wave migration with validation testing at each stage. Cutover windows are short, rollback paths are tested, and nothing goes live without a successful dry run.

Wave-by-wave migration
Zero-downtime cutover
Rollback playbooks
Performance validation
Phase 4
Optimise & Operate

Post-migration rightsizing, cost review, observability stack deployment, and knowledge transfer to your team. The engagement closes when your team is confident - not when the deadline arrives.

FinOps review
Observability setup
Team training
30-day hypercare

Real numbers.
Not benchmark claims.

These come from actual client engagements over the past three years - the boring averages, not the best-case outliers.

Faster deployment frequency after CI/CD platform implementation (from weekly to multiple times daily)
68%
Reduction in mean time to recovery (MTTR) after SRE engagement and runbook development
34%
Average cloud cost reduction found in FinOps reviews of existing AWS and Azure environments
99.96%
Average uptime across managed Kubernetes platforms over 12-month periods
11min
Average CI/CD pipeline duration after optimisation - down from 38 minutes

Recent engagements

FinTech - Series B, 80-person engineering team
Kubernetes platform build on EKS from scratch. Moved 14 microservices from EC2 + manual deployments to GitOps-managed cluster with full CI/CD, observability, and runbooks in 10 weeks.
Deploy time: 45min→4min MTTR: 4h→22min $180K/yr cloud savings
Global Retailer - 2M daily transactions
AWS architecture review and re-architecture of checkout path. Identified $420K in annual over-provisioned compute and redesigned for horizontal scaling under flash sale conditions.
99.99% uptime on peak days 34% infra cost reduction Zero incidents Black Friday
Healthcare SaaS - ISO 27001 scope
Multi-region AWS landing zone with full compliance controls for PHI data. Terraform IaC codebase with Sentinel policies - teams deploy via pull request, no manual AWS console access.
HIPAA-compliant architecture Terraform from day one Passed ISO 27001 audit
B2B Platform - migration from on-prem DC
Full data centre exit over 16 weeks. 23 applications across 3 migration waves. Final wave included an Oracle DB migration to Aurora with zero-downtime cutover.
DC exit: 16 weeks 100% zero-downtime cutovers 41% lower infra cost vs DC

Every layer of the stack, covered.

We're tool-agnostic at the service layer and opinionated at the engineering layer. Here's what we build with.

Cloud Platforms
AWS (EC2, EKS, Lambda, RDS, S3, CloudFront)
Google Cloud (GKE, Cloud Run, BigQuery, Spanner)
Microsoft Azure (AKS, Functions, Cosmos, Entra)
OVHcloud & Hetzner (cost-optimised workloads)
Bare metal & colocation hybrid setups
Container & Orchestration
Kubernetes (EKS, GKE, AKS, self-managed)
Helm chart development & management
ArgoCD & Flux for GitOps delivery
Istio & Cilium for service mesh & eBPF networking
Crossplane for infrastructure from K8s
IaC & Config Management
Terraform & OpenTofu (primary IaC)
Pulumi (TypeScript/Python for complex logic)
Ansible for configuration management
AWS CDK & CloudFormation (when required)
Checkov, tfsec & Sentinel for policy enforcement
CI/CD & Developer Tools
GitHub Actions (primary)
GitLab CI/CD
Tekton for cloud-native pipelines
ArgoCD Rollouts for advanced deployment strategies
Backstage for developer portals
Observability
Prometheus & Grafana (metrics)
Loki & Grafana (log aggregation)
Tempo & Jaeger (distributed tracing)
OpenTelemetry (vendor-neutral instrumentation)
Datadog & New Relic (managed options)
Security & Compliance
HashiCorp Vault (secrets management)
Falco (runtime security)
Trivy & Grype (container scanning)
OPA & Kyverno (policy enforcement)
AWS Security Hub & GCP Security Command Center
Networking
VPC design & subnet planning
AWS Transit Gateway & VPC peering
Cloudflare (DNS, WAF, Zero Trust)
Nginx & Envoy ingress
Tailscale & WireGuard for internal networking
FinOps & Cost Management
AWS Cost Explorer & Compute Optimizer
Infracost for IaC cost estimation in CI
Kubecost for Kubernetes cost allocation
CAST AI & Karpenter for automated rightsizing
Custom FinOps dashboards in Grafana

Three ways to work with us

A 2-week review or a 12-month embedded team - the right engagement depends on where you are. We'll tell you which one fits before you commit.

Infrastructure Review

2–3 weeks · Fixed scope

A structured assessment of your existing cloud environment - Well-Architected review, security posture, cost analysis, and CI/CD maturity. You get a prioritised report and a clear roadmap, not a list of generic recommendations.

  • Well-Architected framework review
  • Security posture assessment
  • FinOps cost analysis
  • Prioritised improvement roadmap
Get Started
Most Popular

Platform Build

8–20 weeks · Full delivery

End-to-end delivery of a cloud platform - Kubernetes cluster, CI/CD pipelines, observability stack, IaC codebase, and developer documentation. Scoped per your team's size and deployment complexity. Delivered with full handover.

  • Kubernetes platform on AWS / GCP / Azure
  • CI/CD pipelines for all services
  • Observability stack (metrics, logs, traces)
  • Terraform IaC + runbooks + team training
Get Started

Embedded SRE / Platform Team

3–18 months · Retainer

Senior cloud engineers and SREs embedded in your team - on-call rotation, incident response, capacity planning, and continuous improvement. Works for teams that need expert capacity without the 9-month hiring timeline.

  • 24/7 on-call coverage available
  • Incident response & postmortems
  • Ongoing IaC and platform development
  • Monthly architecture & cost reviews
Get Started

What people ask before they start

Straight answers about cloud architecture, timelines, and what happens when something breaks. Anything missing? Ask us directly.

The honest answer depends on three things: your team's existing skills, your primary technology stack, and whether you have an existing enterprise agreement. AWS is the default right answer for most workloads - it has the deepest service catalogue, the most mature tooling ecosystem, and the easiest hiring market. GCP wins for data and ML-heavy workloads and for companies already in the Google Workspace ecosystem. Azure makes sense when your organisation is Microsoft-heavy (Active Directory, SQL Server, Office 365). We'll give you a recommendation after a 30-minute call, not after a 6-week assessment.
Usually with a two-week infrastructure review - get the map of what actually exists before deciding what to fix first. The most common finding is that 20% of the complexity causes 80% of the problems: a few long-running EC2 instances without IaC, some overlapping security groups that nobody understands, and a CI/CD pipeline that works 95% of the time. We triage, prioritise by blast radius and operational cost, and fix the most painful things first.
A production-grade Kubernetes platform - cluster on EKS/GKE/AKS, GitOps CD with ArgoCD, Prometheus/Grafana observability, ingress, cert management, secrets management, and developer documentation - takes 8–12 weeks for a greenfield build. If you're migrating existing workloads onto the platform, add 2–4 weeks per migration wave depending on application complexity. We don't cut corners on the observability and documentation parts - those are what determine whether your team can actually operate it.
It means your infrastructure is defined in version-controlled files, reviewed via pull requests, and applied through automated pipelines - the same way your application code works. The practical consequence is that every change is auditable, every environment can be rebuilt from scratch in minutes, and "what does production actually look like" has a clear answer. The most common objection is "we already have too much manual infrastructure to start IaC now" - which is true, but there are systematic approaches to importing existing infrastructure into Terraform control without disrupting anything.
If you're on a managed SRE retainer, we're paged and responding within the SLA. For project-based engagements, we build runbooks covering the most likely failure modes into every delivery - so your team isn't navigating a crisis without documentation. We also design for failure from the start: circuit breakers, graceful degradation, and rollback paths are architectural requirements, not optional extras. That said, things do go wrong, and the right response is a blameless postmortem to understand root cause - not a blame-the-vendor call.
Yes, and it's quite common. The first step is always the infrastructure review: understand what's there, document what isn't, and identify the risks before changing anything. The biggest risk in inheriting someone else's cloud environment is undocumented dependencies - applications that silently rely on a specific instance type, or a security group that half the estate uses for reasons nobody can explain. We've untangled some challenging environments and the pattern is always the same: document before you modify.
We don't treat it as a separate engagement. Cost visibility - tagging standards, per-service cost allocation, and anomaly alerting - is baked into every architecture we build. For existing environments, a FinOps review typically finds 25–40% of spend that can be reduced through rightsizing, reserved instance planning, and Spot usage. The most common finding is significantly over-provisioned RDS instances and EC2 compute that was sized for a traffic peak that never happened. We use Infracost in CI pipelines so cost estimates appear on every infrastructure pull request - before anything is deployed.
Everything. Every line of Terraform, every Helm chart, every GitHub Actions workflow, every runbook document. We work under standard IP assignment agreements - full source code ownership transfers to you. We don't retain licences, we don't leave "phone home" hooks, and we don't design systems that require Sequere to operate. If you want ongoing support, we offer it. But the decision is yours, and the code works either way.

Let's look at your infrastructure.
No agenda, just an honest view.

Book a free 45-minute infrastructure review call. We'll talk through your current setup, identify the highest-priority issues, and give you a realistic view of what a well-run cloud environment for your stage looks like - no pitch deck required.

Book a Free Review Call
No commitment required
Architecture summary in 48 hours
NDA available before the call