The Problem Statement
For many established businesses and SaaS companies, the core problem isn't a lack of ideas; it's the inability to execute them quickly. Their engineering teams are trapped, spending up to 30-40% of their time managing fragile infrastructure, performing manual deployments, and fighting fires. This "operational drag" means that innovation slows to a crawl, competitors pull ahead, and your best engineers become frustrated and leave.
The Client
A fast-growing SaaS company
Why Most Solutions Fail
The typical reaction is to hire more engineers or create a separate "ops team." This often makes the problem worse by creating more silos and communication overhead. It doesn't fix the underlying issue: a brittle, high-friction environment where every change is risky and time-consuming.
Our Strategic Solution
We believe the goal of DevOps is to make shipping high-quality software boringly reliable and incredibly fast. We implement an "Automated Delivery" flywheel: 1. Infrastructure as Code (IaC): We define your entire infrastructure in code using tools like Terraform, making it repeatable, auditable, and disposable. 2. CI/CD Automation: We build a robust CI/CD pipeline (GitLab CI, GitHub Actions) that automates testing and deployment, giving developers feedback in minutes, not days. 3. Containerisation & Orchestration: We use Docker and Kubernetes to break down monolithic applications, enabling teams to deploy and scale their services independently.
Infrastructure as Code (IaC)
Defined entire infrastructure in code using tools like Terraform, making it repeatable, auditable, and disposable.
CI/CD Automation
Built robust CI/CD pipeline (GitLab CI, GitHub Actions) that automates testing and deployment, giving developers feedback in minutes, not days.
Containerisation & Orchestration
Used Docker and Kubernetes to break down monolithic applications, enabling teams to deploy and scale their services independently.
Proof Point: How We Did It
A fast-growing SaaS client was struggling. Deployments happened once a month and were high-risk, while infrastructure costs were spiralling. We implemented our flywheel, rebuilding their infrastructure with Terraform on AWS and containerising their application with Docker and Kubernetes. We automated their entire release process, moving them from monthly deployments to multiple, zero-downtime deployments per day. By optimising their cloud usage and enabling auto-scaling, we immediately cut their infrastructure bill by 40%.
Business Impact
Measurable Results
Deployment Frequency: 1 per month → Daily (Massively accelerated time-to-market)
Engineer Time on Ops: 30% → <5% (Freed senior talent to focus on innovation)
Infrastructure Costs: £25,000/month → £15,000/month (Increased gross margin and profitability)
Change Failure Rate: 15% → <1% (Dramatically increased system stability)
Key Results Summary
Deployment frequency: 1 per month → Daily (Massively accelerated time-to-market)
Engineer time on ops: 30% → <5% (Freed senior talent to focus on innovation)
Infrastructure costs: £25,000/month → £15,000/month (Increased gross margin and profitability)
Change failure rate: 15% → <1% (Dramatically increased system stability)
Is Your Engineering Team Trapped by Toil?
If your feature roadmap is constantly delayed and your best engineers are bogged down with manual work, you don't have a people problem—you have a system problem. Book a no-BS strategy call. We'll show you how strategic automation can unlock your team's true potential.
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