Cloud &
DevOps
AWS, GCP, Azure. CI/CD, infrastructure-as-code, and monitoring that lets your team ship without fear.
Start a project ↗(01) The problem
Sound familiar?
Pain 01
Your cloud bill is growing faster than revenue
Unused resources, over-provisioned instances, no tagging strategy, and dev environments that run 24/7 add up. The engineering team knows it's wrong but doesn't have the mandate to fix it.
Our fix — A cost audit is usually our first deliverable — identifying rightsizing opportunities, reserved instance savings, and unused resources typically yields 20–40% reduction.
Pain 02
Deployments are manual, infrequent, and scary
If deploying to production requires a specific person, a specific time of day, and a Slack message to everyone saying 'deploying now' — the process is the risk, not the code.
Our fix — We build CI/CD pipelines that make deploying boring: automated, tested, observable, and reversible without drama.
Pain 03
Incidents are long, opaque, and repeat themselves
Without structured observability, incidents become blame sessions with no root cause, no SLO, and no confidence the same thing won't happen next month. The post-mortem is just a document nobody reads.
Our fix — We set up monitoring, alerting, and runbooks that make incidents shorter, clearer, and genuinely educational — not just stressful.
(02) What we deliver
Ship fast.
Sleep soundly.
01
Cloud Architecture
Right-sized, cost-aware infrastructure on AWS, GCP, or Azure — designed for your actual scale, not the next unicorn's hypothetical traffic spike.
02
Infrastructure as Code
Terraform and Pulumi stacks your team can read, review in PRs, and change with confidence — with remote state, workspaces, and reusable modules.
03
CI/CD Pipelines
GitHub Actions, GitLab CI, or Buildkite — deploy to production with confidence, multiple times a day, with automated rollback when something goes wrong.
04
Container Orchestration
Kubernetes, ECS, or simpler — matched to your actual traffic, team size, and operational maturity. Not to a résumé.
05
Monitoring & Alerting
Datadog, Grafana, PagerDuty — observe everything, alert on signal, silence noise. On-call should be boring. We make it boring.
06
Security & Compliance
IAM least-privilege, VPC hardening, secrets management, audit logging, and SOC 2 readiness — security as infrastructure, not afterthought.
99.9%
Uptime SLO maintained across managed accounts
41%
Average cloud cost reduction post-optimisation
6×
Average increase in deployment frequency in 6 months
(03) How we work
Observe first,
build second.
We don't arrive with a services pitch. We audit what you have, understand your team's operational maturity, and recommend the simplest infrastructure that meets your actual reliability goals.
99.9%
Uptime SLO maintained across managed accounts
01
Audit
Current state review: cloud spend, security posture, incident response capability, deployment frequency, and mean time to recover. We start with data, not assumptions.
02
Architecture Design
Target state diagram, migration path, cost model, and a written decision record for every major trade-off — agreed before any infrastructure changes are made.
03
IaC Build
Terraform modules, environment parity across dev/staging/prod, remote state management, and a PR-based change workflow enforced from day one.
04
CI/CD
Pipeline templates, preview environments, secrets injection, automated rollback playbooks, and deployment frequency targets with measurement.
05
Observability
Dashboards, SLOs, on-call runbooks, and a post-incident review template — so the next incident is shorter and better understood than the last.
(04) Why Grovitt
Different
by design.
DevOps consultancies often leave you more dependent than when you started. We don't — because our measure of success is the day you don't need to call us.
Right-sized, not over-engineered
We don't pitch Kubernetes to a team of five. We recommend the simplest infrastructure that meets your reliability and growth goals — then build in upgrade paths as you scale, not before you need to.
Infrastructure as code from day one
Every resource is defined in version-controlled code, reviewed in PRs, and applied through automation. No snowflakes, no tribal knowledge, no 'ask Sarah — she set that up' infrastructure.
We hand over capability, not dependency
We document everything and train your team. The goal is an engineering organisation that's independent, capable, and confident in their infrastructure — not one that needs us to answer every ops question.
(05) Common questions
Questions
answered.
Not finding what you need? We scope transparently — no vague statements of work, no surprise dependencies.
Ask us anything →Which cloud provider do you recommend?
We're provider-agnostic and work across all three major clouds. AWS for ecosystem maturity and breadth, GCP for data and ML workloads, Azure for organisations already in the Microsoft stack. We'll recommend based on your actual use case and team familiarity.
Can you reduce our existing cloud bill without disrupting the application?
Usually yes. A cost audit is often our first deliverable — identifying rightsizing opportunities, reserved instance and savings plan opportunities, and unused resources. Typical reduction is 20–40% without a single application change.
Do you offer ongoing managed infrastructure support?
Yes. Monthly retainers cover monitoring, incident response, planned maintenance windows, cost reviews, and security patching. Most clients move to a retainer after the initial infrastructure build.
How do you handle security and compliance requirements?
IAM least-privilege, VPC design, secrets management, and audit logging are in scope by default on every engagement. SOC 2 readiness, GDPR-aligned data architecture, and specific compliance frameworks (PCI, HIPAA) can be scoped separately.
Ready to make
on-call boring?
Tell us your current cloud spend and your worst incident from last quarter. We'll show you what changes first.