Cloud-Native Development
Build applications designed for the cloud from the ground up: containers, Kubernetes, and CI/CD pipelines that deliver on the promise of cloud investment.
Cloud-Native Development
Build applications designed for the cloud from the ground up: containers, Kubernetes, and CI/CD pipelines that deliver on the promise of cloud investment.
Cloud-Native Development
Build applications designed for the cloud from the ground up: containers, Kubernetes, and CI/CD pipelines that deliver on the promise of cloud investment.
Cloud-Native Development
Moving to the cloud is not the same as being cloud-native.
Lifting a legacy application into a cloud VM gives you a cloud bill, not cloud benefits. Cloud-native development means building applications that use the cloud's elasticity, managed services, and automation capabilities by design. Containers, microservices, serverless functions, and declarative infrastructure are not buzzwords. They are the building blocks of systems that scale, recover, and evolve without manual intervention.
of organisations use cloud-native techniques for nearly all their development and deployment (CNCF Annual Survey 2024, n=750)
CNCF ecosystem: Kubernetes and cloud-native technologies have established themselves as the industry standard
are industry standards for containerisation, but the real strength lies in adapting container platforms to individual requirements
new operating models that cloud-native organisations adopt to combine reliability and speed
Source: CNCF Annual Survey 2024, Cloud Native Computing Foundation, n=750
How does a company become cloud-native?
Container-first architecture
We containerise applications with Docker and orchestrate them with Kubernetes on Amazon EKS. Consistent environments from development to production, with automated scaling and self-healing.
CI/CD pipelines
Every code change triggers automated build, test, and deployment pipelines. We implement GitOps workflows that make deployments reproducible and rollbacks instant.
Serverless and managed services
Where containers are not the right tool, we use AWS Lambda, Fargate, and managed databases to eliminate operational overhead and pay only for what you use.
Observability by design
Distributed systems need distributed tracing. We instrument applications with structured logging, metrics, and traces from day one using CloudWatch, X-Ray, and Prometheus.
Infrastructure as Code
Every resource is defined in Terraform or AWS CDK. Infrastructure is version-controlled, peer-reviewed, and deployed through the same pipelines as application code.
Security and compliance
We embed security scanning, image vulnerability checks, and policy enforcement into the pipeline. Compliance is automated, not audited after the fact.
Operating model
Optimise your operating model
Optimised, integrated containers can form the foundation of your cloud-native transformation, especially in combination with Kubernetes. Tallence knows that cloud-native is about more than just technology: with a holistic view, we implement a transformation that encompasses organisational structure, operations, and your culture. We support the introduction of new methods (open, agile, distributed, automated), new operating models (SRE, DevOps), and new architectural concepts (microservices, API-first, platforms).
Container Transformation Framework
We determine whether and to what degree containers can be integrated into your current IT infrastructure, and develop a tailored transformation plan.
Container Starter Pack
Together we containerise your first application. At the same time we train your staff and review your IT strategy. We guide you through the first phases of containerisation.
DevSecOps Workbench
Need support bringing together development and operations, plus quality assurance and security? Our DevSecOps Workbench combines all three disciplines in an integrated approach.
FAQ
Frequently Asked Questions
Everything you need to know about cloud-native development and our services.
Still have questions? We are happy to advise you. →When should we choose containers over serverless?
Containers are better suited to long-running workloads, applications with complex dependencies, and services that need consistent resource allocation. Serverless is better for event-driven, short-duration tasks with variable traffic. Many architectures use both.
What is GitOps and why does it matter?
GitOps uses a Git repository as the single source of truth for infrastructure and application configuration. Changes are made through pull requests, reviewed, and automatically applied by a reconciliation controller. This makes deployments auditable, reversible, and consistent.
How do we migrate an existing application to cloud-native?
We start with containerisation, then introduce CI/CD pipelines, then progressively decompose the application into smaller services where it makes sense. We do not recommend a big-bang rewrite. Incremental migration reduces risk and delivers value at each step.
Which Kubernetes distribution does Tallence recommend?
For AWS environments, we recommend Amazon EKS. It integrates natively with IAM, VPC networking, ALB, and AWS security services. We manage EKS clusters as part of our Tallence Container Operations service.
Next step
Managed Kubernetes with Tallence Container Operations
Cloud-native development does not end at deployment. Tallence Container Operations takes over the ongoing operation of your Kubernetes workloads on AWS EKS: cluster management, security patching, monitoring, and incident response. Your engineers can focus on what matters.
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Are you getting the full value from your cloud investment?
We assess your current architecture and show you where cloud-native patterns deliver the biggest gains.
Application Innovation
Related Application Innovation Topics
DevOps
Development and operations aligned around shared goals, automated pipelines, and a culture that ships reliably.
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Migrate legacy systems to modern architectures without losing the business logic your teams depend on.
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Connect systems, eliminate data silos, and build APIs that let your applications communicate in real time.
Learn moreMicroservices
Decompose monoliths into independently deployable services that scale, fail gracefully, and evolve without coordinating every release.
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Shift quality left. Automated tests in every pipeline stage mean fewer regressions, faster releases, and engineers who spend time building, not debugging.
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