Case studies & portfolio

Client

Confidential (under NDA)

Platform

Amazon Web Services (AWS)

Services

DevOps & CI/CD, Infrastructure as Code

Type

DevOps as a Service

The challenge

The client's application ran on AWS, but its environments had been set up by hand and every release depended on manual steps. Deployments were slow to repeat, hard to audit, and risky whenever the one person who knew the process was unavailable.

What we did

• Reviewed the existing AWS setup, environments and release process together with the client's team.
• Described the infrastructure as code with Terraform, so environments can be recreated consistently.
• Containerised the application with Docker to keep builds identical from development to production.
• Built a CI/CD pipeline that tests, builds and deploys each change automatically.
• Added monitoring and alerting so the team hears about problems before users do.

The outcome

Releases moved from manual deployments to an automated, repeatable pipeline, and infrastructure changes are now reviewed as code instead of being made directly in the console. The client's team can ship updates with less effort and more confidence, and new environments can be created from the same templates.

Client

Confidential (under NDA)

Platform

Google Cloud Platform (GCP)

Services

Containerisation, Kubernetes, CI/CD

Type

DevOps as a Service

The challenge

The client wanted to run its services on Google Cloud in a way that could grow with demand. Each service was deployed on its own, which made it hard to scale, keep environments consistent, and roll out changes safely.

What we did

• Assessed the services and agreed a target architecture on Google Cloud with the client's developers.
• Packaged each service as a Docker container and deployed them to a managed Kubernetes cluster.
• Provisioned the cloud resources with Terraform, so the setup is documented and repeatable.
• Set up CI/CD pipelines that build container images and roll out new versions to Kubernetes.
• Configured monitoring, logging and alerts for the cluster and the applications running on it.

The outcome

The services now run as containers on a shared Kubernetes platform, so each one can be scaled and updated independently. Deployments follow the same automated path every time, and the client's team has clearer visibility into the health of the platform.

Client

Confidential (under NDA)

Platform

Public cloud (AWS / Azure / GCP)

Services

Migration planning, IaC, database management

Type

Cloud migration

The challenge

The client's applications ran on on-premise servers and traditional hosting that had become costly to maintain and hard to scale. Hardware and operating-system upgrades were a recurring burden, and any move had to happen without disrupting the business.

What we did

• Inventoried the existing servers, applications, databases and dependencies, and planned the migration in phases.
• Rehosted the workloads in the cloud first (lift-and-shift) to reduce risk and leave the old environment behind.
• Migrated the databases with backups and verification, and scheduled the final cut-over for a low-traffic window.
• Defined the new environment with Terraform and set up monitoring, backups and access controls.
• Modernised step by step after the move: containerising services with Docker, right-sizing resources and automating deployments.

The outcome

The workloads now run in the cloud instead of on ageing servers, and the environment is documented as code. With the move complete, the client can scale resources to match demand and keep improving the platform in small, safe steps rather than through another large project.

Client

Specstree.com

Platform

Cloud infrastructure

Services

Cloud support, performance tuning

Type

Cloud Management

The challenge

Specstree.com was dealing with performance issues and downtime on its cloud infrastructure, and it was paying more for hosting than it needed to. The founder needed a team that could find the causes quickly and keep the platform stable.

What we did

• Reviewed the cloud setup, application behaviour and database to find where the slowdowns came from.
• Looked at application code and database queries before adding capacity, since slowness is often caused there rather than by a lack of servers.
• Right-sized cloud resources and removed unused ones to bring running costs down.
• Set up monitoring and alerts so issues are caught early, reducing downtime.
• Continued with ongoing cloud infrastructure support.

The outcome

The performance issues were fixed and the platform became more stable, with less downtime and lower infrastructure costs, as Specstree.com's founder describes below.

“The Cloud Support team fixed our performance issues quickly and efficiently. We got excellent cloud infrastructure support that significantly reduced our downtime and costs.”

— Nikhil, Founder — Specstree.com

Client

Huaw Phai Pharmacy, Thailand

Platform

Website & database

Services

Web development, database management

Type

Digital transformation

The challenge

Covid changed how customers found and dealt with local businesses. Huaw Phai Pharmacy wanted to adapt, with a website for the business and a properly managed database behind it, and it needed the work delivered on schedule while the pharmacy carried on serving its customers.

What we did

• Worked with the founder to understand the business and what the website needed to do.
• Designed and built the pharmacy's website.
• Set up the database and took on its day-to-day management.
• Kept the founder informed throughout and delivered on the agreed timeline.

The outcome

The pharmacy gained a website and a managed database at a time when adapting to Covid mattered most, helping it change how the business works. Because we handled both the website and the database, the founder had a single team to work with on the technical side of the project. In the founder's own words:

“Sequence Technologies helped us transform our business during Covid — built our website and set up database management. They were responsive, professional, and delivered on time.”

— Metha Pokawin, Founder — Huaw Phai Pharmacy, Thailand

Client

Sequence Technologies (own product)

Platform

Web platform

AI model

Google Gemini

Services

AI & NLP, product engineering

Type

In-house product

The challenge

Hiring involves a lot of repetitive work: reading and ranking resumes, coordinating interview times, and tracking candidates across emails and spreadsheets. We wanted to apply the AI skills behind our consulting work to a problem that every growing business faces, and prove them in a product of our own.

What we did

• AI-powered resume screening that ranks and shortlists candidates against job requirements using NLP and ML models.
• Intelligent interview scheduling that books interviews, sends reminders and syncs with calendars.
• Predictive hiring analytics with insights on candidate fit, retention risk and team performance trends.
• Employee lifecycle management covering everything from onboarding to performance reviews in one platform.
• Built on Google’s Gemini models for its AI features, with the same review, testing and data rules as the rest of our engineering (see how we use AI).

The outcome

HRxAI is now our flagship product, bringing hiring, management and retention of talent into one AI-assisted platform.

As we say on our homepage, it automates resume screening, predicts candidate success, and reduces time-to-hire by up to 70%. Building it has also given us practical experience of running AI in a real product, which we bring to our AI Consulting clients.