Cloud Native

Cloud platforms built to scale and recover.

Sails Software modernizes applications into cloud-native services that deploy independently, scale on demand and recover on their own.

What we do

Microservices, done properly.

Microservices architecture

Loosely coupled services that deploy independently, isolate faults and let teams release on their own schedule.

Containers and serverless

Docker, Kubernetes and serverless functions for scalable, fault-tolerant applications.

API gateways and service mesh

Secure service-to-service traffic with authentication, rate limiting and observability.

Automated testing and CI/CD

Pipelines that test, integrate and deploy every change, lowering release risk.

Resilience and observability

Monitoring, tracing and automated recovery keep services reliable.

Distributed data

CQRS, event sourcing, sharding and replication for consistent, low-latency data at scale.

Beyond the build

Cloud environments that fit your business.

Multicloud operations

Deploy and manage across multiple cloud platforms with one way of working.

Tailored cloud setups

Public, private and hybrid designs matched to your needs and constraints.

High availability

Designs built for uptime, as on the Azure portal we modernized, which reached 99.9% availability.

Overview

What is cloud-native modernization?

Cloud-native modernization rebuilds applications as smaller, independent services that run on cloud infrastructure. Each service can be released, scaled and recovered on its own, so the platform handles traffic peaks and failures better than one large application, and teams ship faster.

At a glance
Platforms
Docker, Kubernetes, serverless
Patterns
API gateways, service mesh, CQRS, event sourcing
Clouds
Public, private and hybrid
FAQ

Frequently asked questions.

What is cloud-native microservices architecture?

Applications built as independent services that each scale, deploy and recover on their own, designed for cloud infrastructure.

How do you design microservices for scale?

Each service owns its data and can be deployed and scaled independently, with API gateways managing the traffic between them.

Which container technologies do you use?

Docker and Kubernetes, and serverless functions where they fit better.

How do you manage APIs between services?

With API gateways and service meshes for authentication, rate limiting, traffic control and visibility.

How do you keep data consistent across services?

With event-driven patterns such as CQRS and event sourcing, and distributed transaction strategies.

How is observability handled?

Tracing, centralized logging, metrics and alerts, so issues are found before customers report them.

Ready when you are

Modernize in stages, not in one big bang.

Tell us what you run today. We'll map the risks and a staged path to cloud-native.