SERVICE
DevOps & Platform Engineering
Continuous delivery, infrastructure as code, observability at scale.
What DevOps Actually Solves
The stereotype of DevOps is a grumpy operations person who approves server requests once a week and yells at developers for creating production incidents. Real DevOps is developers and operators working together as a unified team, with tooling and processes that let developers deploy code safely and quickly without needing operations approval for every change.
This matters because the bottleneck for most Singapore software teams isn't writing code—it's getting code to production. A deployment takes two weeks because operations is busy. Code sits in review because infrastructure changes need approval. Fixing a critical bug takes hours because the deployment process is manual and error-prone. DevOps eliminates these bottlenecks.
CI/CD Pipeline Engineering
A CI/CD pipeline is a series of automated steps that take code from a developer's laptop to production: checking the code compiles and tests pass, running security scans, building a container image, deploying to staging for QA, and finally deploying to production. When it works, a developer can merge code and see it live in minutes. When it doesn't, deployments are manual, slow, and error-prone.
We design and implement CI/CD pipelines using industry-standard tools (GitHub Actions, GitLab CI, Jenkins). The pipeline runs every change automatically—developers don't have to ask operations to deploy, they just merge code. The pipeline fails fast if something's wrong (tests fail, linting fails, security scans fail), so bad code never reaches production.
The pipeline also gives you audit trails: exactly which code is running in production, who deployed it, what testing did it pass. For regulated industries, this is compliance gold.
Infrastructure as Code (Terraform, CloudFormation)
Most infrastructure is still managed manually: "SSH into the server and run these commands." This works for one server. It becomes a nightmare for 100 servers—you can't remember which servers are configured which way, changes are fragile, and rebuilding a server from scratch is error-prone. Someone also needs to remember the configuration, or it's lost when they leave.
Infrastructure as Code means describing your infrastructure (servers, networks, databases, load balancers, firewalls) in code. You commit it to version control. The code is automatically deployed—Terraform reads the code and creates/updates infrastructure to match. Now infrastructure changes go through code review like application code, can be tested before deployment, and are fully documented.
IaC also enables disaster recovery and scalability: your entire infrastructure can be recreated from code in minutes. A new data centre deployment, a new region, disaster recovery failover—all just running Terraform.
Container Platforms & Kubernetes
Containers (Docker images) are lightweight virtual machines that bundle your application with its dependencies. Instead of asking operations to install Python 3.11, Node 18, and 30 npm packages on a server, you ship a container with everything baked in. Deployment becomes a simple operation: start a container.
Kubernetes is a container orchestration platform: it runs your containers across a cluster of servers, automatically scaling up when demand is high, scaling down when it's low, restarting containers that crash, and managing networking and storage. Running Kubernetes yourself is complex. We handle it: we provision Kubernetes clusters (on AWS, Azure, GCP, or on-premises), we design the networking and security, we run upgrades and patches, we monitor the platform.
For most Singapore businesses, managed Kubernetes (AWS EKS, Azure AKS, Google GKE) is the right choice—Google and Amazon handle the control plane, you focus on deploying applications. We set that up.
Observability & Site Reliability Engineering (SRE)
Once you're deploying rapidly (multiple times a day), you need to know if something went wrong. If you notice after customers start complaining, you've already failed. Observability means having detailed visibility into your system: structured logs, metrics (CPU, memory, latency, error rates), and traces that show how a request flowed through your system.
We instrument your applications and infrastructure to emit rich observability signals. Then we build dashboards and alerts so you catch problems before they're visible to users. We also define SLOs (service level objectives—"our API will respond in under 500ms for 99.9% of requests") and use observability to verify we're meeting them.
SRE (Site Reliability Engineering) is the practice of using observability to drive reliability improvements: identifying the top causes of outages and building automation or architectural changes to prevent them. It's not about eliminating all outages (impossible) but about trading human toil for automated resilience.
Golden Paths for Developer Experience
When every developer can set up their own infrastructure, configure networking, design databases, and deploy code, you get chaos—inconsistent patterns, security misconfigurations, and a lot of reinvention. Golden paths are opinionated templates that guide developers toward good practices: "here's the right way to deploy a web application, a backend service, a scheduled job." The path handles common concerns (logging, monitoring, secrets management) so developers don't have to.
A good golden path gets out of the way—if you want to do something unusual, you can, but the default is safe and sensible. We design golden paths that work for your tech stack and team culture, then we automate them (scaffolding tools that generate new services from templates, platform engineering that makes it trivial to follow the path).
GitOps Workflows
GitOps means your entire infrastructure and application configuration lives in Git, and deploying is just pushing code. A webhook watches your Git repository; when you merge code, the webhook triggers a deployment. This means deploying is as simple as merging a pull request—no manual deployment commands, no SSH-ing into servers.
GitOps also gives you rollback for free: if a deployment goes wrong, you revert the Git commit and the system rolls back. It's trivial. We set up GitOps for you using tools like ArgoCD or Flux—they watch your Git repository and automatically apply changes to your cluster.
Scaling from Chaos to Discipline
Most Singapore companies start with developers managing their own infrastructure (or not really managing it—it's just running somewhere). This is fast initially but becomes fragile as you grow. We help you scale: invest in platform engineering and DevOps so developers can move fast without breaking things. This investment pays back in reduced outages, faster deployments, and lower operations toil.
Do we need Kubernetes or can we just use traditional servers?
It depends on your complexity. If you have one or two applications, traditional servers (possibly with Docker) might be fine. If you have 10+ applications, varying traffic patterns, and want automated scaling and failover, Kubernetes makes sense. We assess your situation and recommend the right approach—we're not trying to sell you Kubernetes, just the right tool.
Won't DevOps and CI/CD mean more deployments and more risk?
Counter-intuitive, but no. When you deploy once a month, each deployment is scary—lots of changes, high stakes, and mistakes get hidden for weeks. When you deploy ten times a day, each deployment is small, risks are isolated, and you catch problems immediately. Also, CI/CD catches bugs before they reach production—tests fail, the deployment stops. Manual deployments skip tests all the time.
How do you handle rollback when something goes wrong in production?
Automated rollback. If a deployment causes errors to spike, we automatically rollback to the previous version (usually less than a minute of downtime). We also have canary deployments—send 5% of traffic to the new version first, monitor, then gradually increase. If problems show up, you catch them affecting 5% of users instead of 100%.