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Cloud, Security & Ongoing Operations

Build, Secure, and Operate the Cloud Behind Your Business Systems.

A working system needs a dependable environment, and attention after launch. We build or migrate the cloud environment where needed, then help define and carry out the operating work around your applications and infrastructure, including system health, security, changes, capacity, and recovery.

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A Situation We Hear Often

Follow One Problem from Start to Finish.

This is how the problem usually shows up, and what changes at each step of the fix. Switch to By Service to see the work behind it.

Choose how to explore this offering

The Systems Get Attention Only When Something Breaks

Most businesses look after their systems in between everything else. Follow what that looks like, and what changes with clear responsibility.

The Systems Get Attention Only When Something Breaks

Each of These Waits Until Something Goes Wrong

The Systems Your Business Depends On

  • ProblemsA problem is noticed when a customer or colleague reports it
  • Updates & SecurityUpdates and security checks wait until there is time
  • CostThe cloud bill grows, and it is hard to say why
  • Recovery“We’re not sure our backups would actually work.”
  • KnowledgeOne person, or one outside firm, knows how it all fits together
  • GrowthA new system or a busy season needs more room than the setup has

The setup that got you here was never meant to carry a business this size.

What We Can Work On Here

  • Cloud Foundations & Migration (applies to this view)
  • Cloud & Application Operations (applies to this view)
  • Cloud & Security Architecture
  • System Monitoring & Delivery - DevOps (applies to this view)
  • AI-Assisted System Monitoring - AIOps
  • Security Operations - DevSecOps (applies to this view)
  • Resilience & Recovery (applies to this view)
  • Scalability & Ongoing Improvement (applies to this view)

Scope of Work

What We Can Work On Here

Each of these can be a project on its own or part of a larger one. We start with the one your situation calls for.

Case Studies

See This Work in Practice.

Real projects in this area: the business problem, what we built, and what changed.

35%
Fewer daily calls to customer service
<1 Day
To follow up on an order that needs information, down from 3 days
20%
Order questions resolved by the AI agent without a person

E-Commerce & Retail

How an E-Commerce Store Cut Daily Customer Service Calls by 35%.

Customers phoned to ask where their order was, and orders missing information waited for someone to reach the customer. An AI agent now answers order questions by message, WhatsApp, or phone, and a second one calls customers when an order needs their attention.

  • VapiVapi
  • OpenAI APIOpenAI API
  • WhatsApp
  • Python
  • AWSAWS
  • Redis
  • Amazon S3
  • Terraform
  • GitHubGitHub
Read the Case Study
<5 Sec
To answer a business question in Slack, down from hours
1
Governed data layer across HubSpot, Stripe, and the rest of the stack
200
Metrics defined once and read by every dashboard and answer

Technology & SaaS

How a B2B SaaS Company Unified Its Data Across HubSpot, Stripe, and Everything Else, and Put an AI Analyst in Slack.

At a B2B SaaS company, every team pulled its own numbers from its own tool, and the numbers never matched. We unified HubSpot, Stripe, and the rest into one governed warehouse and added an AI data intelligence layer for Slack and the AI tools their teams already use, so there is one answer and everyone can ask for it.

  • HubSpot
  • Stripe
  • Gong
  • Google BigQuery
  • MetricFlow
  • Apache AirflowApache Airflow
  • Terraform
  • Claude
  • Slack
Read the Case Study
20%
Sales revenue increase reported by the project owner
30 Min
Pipeline processing, down from 5–6 hours
~60
Property attributes added per record

Property Services

How a Property Services Business Grew Sales Revenue 20% After Rebuilding Its Data.

A property services business needed current location, property, and weather data to focus its sales outreach. We rebuilt the enrichment pipelines, cutting processing from 5–6 hours to 30 minutes. The project owner reports a 20% increase in sales revenue following the work.

  • Python
  • Apache AirflowApache Airflow
  • Microsoft Azure
  • Azure Database for PostgreSQL
  • Terraform
  • GitHub ActionsGitHub Actions
  • Datadog
Read the Case Study
View All Case Studies

How We Work

How We Approach the Work

Identify what the business depends on, who owns each component, and what requires attention. Agree coverage, escalation, change responsibilities, and recovery needs before defining the ongoing work, and record the agreed service levels in a service level agreement (SLA).

  1. Map What the Business Depends On

    The systems your people and customers rely on, what each one relies on in turn, and what it means for the business when one of them stops.

  2. Name an Owner for Every Part

    Including suppliers. When something fails, it is already clear who responds and who they call.

  3. Agree Coverage and Recovery in Writing

    Coverage hours, escalation, who may change what, and how quickly each system must come back, recorded in a service level agreement (SLA).

  4. Run It, Report It, Improve It

    Monitoring, updates, security findings, capacity, and cost are looked after continuously and reported against what was agreed.

Measuring It

What Useful Progress Looks Like

  • The responsible people can detect a problem, understand its impact, and act.
  • Recovery arrangements are tested, not assumed.
  • Capacity and cost can be related to demand.
  • Security findings are assigned and followed through.

These questions help define the improvement with your team and the measures appropriate to the engagement.

For Technical Leaders

Technical Considerations

Technologies We Work With

These are the platforms and tools we use most for this work, and we are not limited to them.

Where Do Your Systems Run?
Compute & Containers
  • DockerECS
  • KubernetesEKS
  • Helm
  • AWS Lambda
  • AWS App Runner
Infrastructure as Code
  • Terraform
  • Pulumi
  • Ansible
  • AWS CloudFormation
Networking & Delivery
  • Cloudflare
  • NGINX
  • Amazon CloudFront
  • Amazon API Gateway
Monitoring & Alerts
  • PrometheusManaged Prometheus
  • GrafanaManaged Grafana
  • Datadog
  • New Relic
  • Sentry
  • OpenTelemetry
  • PagerDuty
  • Amazon CloudWatch
AI-Assisted Operations
  • Amazon DevOps Guru
  • Dynatrace
  • Datadog
  • Grafana Machine Learning
Security Operations
  • Wiz
  • Snyk
  • Trivy
  • HashiCorp Vault
  • AWS Security Hub
Backup & Recovery
  • AWS Backup
Releases
  • GitHub Actions
  • GitLab CI/CD
  • Argo CD

If your business runs on a different stack, we adapt to it and build on what you already have.

How It Connects

Applications & modernization establishes the business systems. This work builds or migrates the cloud environments they run on, then keeps them useful as requirements change. Governance sets policies and evidence requirements; security operations puts the agreed controls into daily practice. DevOps connects delivery with ongoing operation.

When a Smaller Change Is Enough

Keep an environment that meets the business need. A focused improvement to access, monitoring, recovery, or capacity may be enough without a platform move.

A Useful Starting Point

Common Questions

Do you work to a service level agreement (SLA)?

Yes. Ongoing operations work is covered by an SLA agreed for the engagement. It sets out the systems in scope, coverage hours, response and escalation for each level of severity, and how performance against it is reported. The terms follow what the business depends on, so a critical order system and an internal tool do not need the same cover.

Can you build a new cloud environment or move our systems to the cloud?

Yes. We design the environment around what each system needs, build it with infrastructure as code so it can be repeated and reviewed, include the security controls and records your agreed compliance requirements call for, and plan the move around the systems the business depends on. Where the current environment meets the need, we say so.

Can you take over systems that someone else built?

Yes. We start with a review of what is there: access, documentation, how it is deployed, backups, and the known risks. We agree what needs fixing first, then take on operating responsibility for the systems in scope under an agreed service level agreement (SLA).

Does moving to the cloud always reduce costs?

No. Workload, capacity, and operating requirements determine the cost. We include usage and cost visibility in the decision.

Who owns the cloud accounts and the infrastructure code?

You do, always. The cloud accounts, the infrastructure code, the configuration, and the data belong to your business, and they stay with you if the engagement ends.

Tell Us Which Systems Your Business Needs to Depend On.

Share the problem, its business impact, and any systems or constraints involved. We can work from the business context, the technical detail, or both.

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