DevOps and cloud
DevOps combines development and operations so code is built, tested and released automatically and reliably. Our projects ship on AWS or Azure with containerised deployments, infrastructure as code and monitoring, so a release is routine rather than an event.
What people ask us about this
Where we do this work
Where it has shipped
- Enterprise Cloud & Infrastructure SREAn Enterprise Cloud Platform & Managed Services ProviderLong-term enterprise cloud infrastructure, Kubernetes modernization, and site reliability engineering (SRE) retainer.11+ MoRetainer Duration
- Telehealth & Digital HealthA US & UK Telehealth Platform (GLP-1 Space)Multi-tenant clinical operating platform across the US and UK for the GLP-1 surge: synchronous/asynchronous EMR, compliant e-prescribe, automated pharmacy routing, and split-billing with day-zero HIPAA and UK GDPR architecture.38Clinic Tenants
- Pharmaceutical DistributionAn Irish Pharmaceutical Distribution EnterpriseMigrating an overweight Salesforce deployment to GoHighLevel + n8n, followed by a mission-critical automated SFTP order & invoice integration into a national pharmaceutical wholesale ERP.100% DoneCRM Migration
Read more on this
The DevOps lifecycle, from commit to production
The DevOps lifecycle runs plan, code, build, test, release, deploy, operate and monitor. Here is what to automate at each stage and how rollbacks and observability close the loop.
"n8n vs Zapier vs Make: which one for business automation"
Zapier is the fastest to start, Make suits visual builders, and n8n gives engineering teams code, self-hosting and data control. Here is how to choose between them.
"PCI DSS for startups: keep card data out of your systems"
The cheapest way to handle PCI DSS is to never touch card numbers. Use hosted fields or redirects and tokenization, and know what still stays on your side.
Terms explained
- DevOpsCombining software development and operations so code is built, tested and released automatically and reliably.
- CI/CDContinuous integration and delivery: automated steps that build, test and deploy code on every change, so releases are small and frequent.
- Infrastructure as codeDescribing servers, networks and services in versioned files so an environment can be created, reviewed and rebuilt automatically.
- MicroservicesAn architecture that splits an application into small services that each do one job and talk over APIs. Easier to scale in parts, harder to operate than one application.
- ObservabilityUnderstanding what a system is doing from its logs, metrics and traces, so problems can be found and explained quickly.
- DockerA tool that packages an application and its dependencies into a container that runs the same way everywhere.
- KubernetesA system that runs and scales containers across many servers and restarts them if they fail.
- TerraformA tool for defining cloud infrastructure in code and applying it repeatably.
- AWSAmazon's cloud platform for computing, storage, databases and AI services.
- Microsoft AzureMicrosoft's cloud platform for computing, storage, databases and AI services.