Backend & cloud software.

We run production workloads on EC2, keep relational data in RDS and store files and backups in S3. It is the stack we reach for when a product needs to scale without a rewrite.

Compute Engine for steady workloads, Cloud Functions for the parts that only need to run on an event, and Cloud Storage for everything in between.

App Service, Functions and SQL Database. The natural choice when your organisation already runs on Microsoft and identity and licensing should stay in one place.

AWS Lambda, Google Cloud Functions and Azure Functions let us run code only when it is needed. For devices that report in bursts, that keeps the running cost close to the actual use.

Ansible lets us describe how a server should be set up, and then apply the same setup every time. It removes the manual steps that otherwise cause environments to drift apart.

We package services in Docker so they behave the same on a laptop and in production, and use Kubernetes when several services need to run and scale together.

IBM Cloud Foundry is on the list for customers who already have IBM in the house, or who need to keep data within a specific region.

We document APIs in Swagger and test them in Postman, so your own developers can work against the interface from day one instead of waiting for it to be finished.

With Terraform the infrastructure is written down as code and versioned like the rest of the project. A new environment can be rebuilt from scratch, and nothing depends on one person remembering how it was set up.

All code is kept in Git and shared through GitHub. You get full access to the history, and the source is yours whether or not we continue working together.

Prometheus and Grafana show what the system is doing right now, while New Relic and Splunk help us find the cause when something goes wrong. Problems are caught before your users report them.

IntelliJ IDEA, Visual Studio Code and Eclipse. Our developers work in the environment that fits the language, so the choice of editor never dictates the choice of technology.

MySQL Workbench, Microsoft SQL Server Management Studio and MongoDB Compass. We work with both relational and document databases and pick the model that fits the data, not the habit.

Docker Hub, Google Container Registry and Azure Container Registry hold the built images. It means a release can be rolled back to a known version in minutes.

Slack, Microsoft Teams and JIRA. We work in the channel your team already uses, so the project does not add another place to check.

Jenkins builds and tests every change automatically before it is deployed. Errors are found while they are still cheap to fix.