Cloud Solutions

This cloud computing platform from Microsoft allows our team to build, run, and manage your applications with a wide array of options. Azure features over 200 products and cloud services, while also supporting open-source technologies and having the capability to run virtually any application (regardless of data source, operating source, or device).

AWS’s scalable infrastructure platform allows for dynamic web hosting and provides on-demand cloud computing platforms and APIs. Features we like from AWS include compute power, database storage, content delivery, or other functionality. Along with that, AWS has the services to help our developers build sophisticated applications with increased flexibility, scalability, and reliability.

Google Cloud is Google’s cloud platform, with services such as Cloud Run, Cloud Functions, Cloud SQL, and BigQuery. Most of our cloud work is on Azure, but we build on Google Cloud when a client’s systems and data already live there.

Cloudflare runs a global network for DNS, caching, security, and edge computing. With Workers and static assets it can host whole sites and APIs close to users, and we use it for fast static sites (including this one), edge functions, and protecting apps from attacks.

Azure App Service is a fully managed platform that empowers Trailhead developers to build, deploy, and scale web applications seamlessly. Supporting multiple programming languages and frameworks, App Service accelerates the development process, allowing us to deliver high-quality applications with speed and efficiency.

Azure Functions is a serverless, cloud-based computing platform that allows our developers to focus on the pieces of code that matter most. The platform features continually updated infrastructure and resources and an end-to-end development experience for solving complex orchestration problems. We can use Azure Functions to build and debug locally, integrate services using bindings and triggers, and deploy and operate at scale in the cloud.

Azure Container Apps runs containerized apps and APIs without managing a Kubernetes cluster. It scales automatically, down to zero when idle, and handles ingress, revisions, and background jobs, which makes it our default choice for running containers on Azure before reaching for AKS.

As part of Amazon Web Services, AWS Lambda is an event-driven, serverless computing platform that can automatically manage computing resources required by the code we write. Without having to factor in servers or clusters, Lambda can run code for virtually any kind of application or backend service. This platform is particularly beneficial when we want to create event-driven applications and process data at scale.

The Docker platform uses OS-level virtualization to deliver software in isolated containers (packages) that communicate with each other through clearly defined channels. While the containers are isolated, they share services from a single operating system kernel, which utilizes fewer resources than virtual machines do. Docker gives our team flexibility because it can run in a variety of locations (on premise, in public, private cloud) and interfaces (Linux, Windows, macOS).

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Trailhead utilizes Kubernetes to efficiently manage and orchestrate containers, ensuring seamless operation and scalability for modern, cloud-native applications.

Azure Kubernetes Service (AKS) simplifies the deployment, management, and scaling of containerized applications. Trailhead utilizes AKS to orchestrate your containers, providing a robust and efficient platform for running modern, cloud-native applications at scale.

Service Bus is a fully managed enterprise message broker that supports message queues and publish-subscribe topics. It is used to decouple applications and services, providing reliable messaging, load balancing, and transactional work coordination. Service Bus supports advanced messaging features such as FIFO delivery, duplicate detection, and message sessions, making it suitable for complex messaging workflows and integration scenarios across different communication protocols and network environments.

Microsoft Entra ID, formerly Azure Active Directory, is Microsoft’s cloud identity service. We use it for single sign-on, multi-factor authentication, app registrations, and role-based access, and Entra External ID for customer-facing sign-in, so users get one secure login across a client’s apps and Azure resources.

Application Insights is the application monitoring service in Azure Monitor. It collects requests, dependencies, exceptions, logs, and traces through OpenTelemetry, so we can see how a system behaves in production, find slow or failing calls, and set alerts before users notice a problem.

Microsoft Foundry (formerly Azure AI Foundry) is Azure’s platform for building AI apps and agents. It gives us models from OpenAI, Anthropic, and others inside a client’s own Azure subscription, with the security, monitoring, and governance controls enterprise teams expect.