Kubernetes & Container Platforms
Container platforms built to support your applications.
A running cluster is the beginning. In order for applications to run on it permanently, access, networks, storage, updates and fault handling must fit together. We plan, implement and develop container platforms with your teams and first check which operating model makes sense for your applications and available capacities.
Service modules
Designing the platform from application entry to ongoing operations.
Operating model and cluster architecture
We evaluate managed and self-operated offerings based on workloads, site requirements, and operational resources. Cluster boundaries, environments, outage areas, and spare capacity are designed with actual application operations in mind.
A well-founded platform decision with responsibilities and a comprehensible capacity concept.
Workload security and access
Roles, technical identities, workload specifications and the inspection of container images are merged. We define which rights applications receive and which deployments the platform accepts. Exceptions are deliberately documented.
Reviewed access and security rules with clear ownership of images and workloads.
Networking, services and data
We plan service access, certificates, DNS and network rules as well as the connection of required storage and data services. For stateful applications, we explicitly consider recovery and data consistency.
Tested communication and storage paths, including documented recovery requirements.
Standard application deployment
We create reusable deployment templates and connect them to your release processes. Configuration, secrets connection, health checks, and resource requirements are tested for a representative application pattern.
A usable deployment path with verified templates and a documented sample service.
Updates and lifecycle
We structure cluster, node and component updates including compatibility checks and maintenance windows. Capacity changes and behavior in the event of failures are checked in a traceable manner in suitable test environments.
An update and lifecycle plan with test cases, releases, and restart procedures.
Operations and recovery
We connect platform metrics, events, and alerting to specific operational tasks. Backup and recovery procedures are tested to the agreed extent so that platform health and application data are considered together.
Operating instructions, alarm paths and documented results of recovery tests.
Application examples
Kubernetes & Container Platforms Use Cases
These exemplary starting points show possible projects. Together, we narrow down what makes sense for your organization.
From pilot cluster to productive platform
A development team is already using Kubernetes experimentally. We fill in missing operating modules, check the application requirements and accompany the first productive use with defined acceptance criteria.
Multiple teams on a common basis
Product teams need standardized environments with clear access boundaries. We assess appropriate cluster and tenant boundaries and test deployment, resource control, and responsibilities with select teams.
Stabilize an existing platform
Updates are postponed and disruptions are repeated. We analyze components, dependencies and workflows, prioritize the most important risks and implement improvements in coordinated stages.
Collaboration
With a real application to a resilient platform.
Assess workloads and operational needs
We capture applications, data dependencies, load profiles, and the available operations team. From this, we derive requirements and a reasoned choice of platform model.
Design the platform components
Cluster structure, accesses, networks, data services and life cycle are planned together. A representative pilot service makes the requirements for subsequent use concrete.
Build and test with an application
We implement the aligned foundation and provide the pilot service. Deployment, scaling, error behavior and operational data are specifically reviewed.
Verify operational readiness
Together, we test the agreed update and recovery cases. Documentation, responsibilities and open points are recorded in a comprehensible manner before the handover.
Your result
What you can use in concrete terms
- Platform architecture with justified cluster, client and responsibility boundaries.
- Reusable configuration and a successfully proven application path.
- Safety and operational requirements including update and capacity planning.
- Test protocols and guidance for the agreed operation and recovery cases.
SYNEDAT PLATFORM
Platform experience for your project
We use these selected tools in SYNEDAT PLATFORM or its delivery processes. We adapt suitable practices to your project and align their integration with your existing systems.
Deployment and platform automation
Kubernetes · Azure Kubernetes Service · Helm · Argo CD · Terraform
Versioned configuration and declarative deployment connect infrastructure and applications. GitOps makes proposed changes reviewable and the desired state explicit. Operational transitions and recovery procedures are still planned for the specific application.
Repeatable changes and clearer responsibility boundaries.
Identities, secrets and policies
Keycloak · OpenBao · External Secrets · Kyverno
Sign-in, technical secrets and platform policies serve different purposes. We connect them with roles, limited permissions and documented exceptions. The selected tools form part of a common access and operating model.
Controlled access and more consistent platform policies.
Observability and operations
Prometheus · Grafana · Alloy · Loki · Tempo
Metrics, logs and traces provide different views of applications and platforms. We organize data sources, dashboards and alert paths around specific operating questions. Retention, sensitive data and costs are considered when planning data collection.
Better incident diagnosis and informed operating decisions.
Frequently Asked Questions
Does Kubernetes make sense for every containerized application?
No. For some applications, managed container services or simpler forms of operation are sufficient. We evaluate the required range of functions as well as complexity, existing competencies and ongoing effort. Kubernetes is chosen if it adequately supports the requirements.
Does a managed Kubernetes service handle all operations?
Depending on the offering, a provider takes on certain platform tasks. However, responsibility for applications, configurations, access, data and parts of the life cycle remains to be clarified. We specify the division of tasks and examine the remaining operational requirements.
Are backups of the cluster configuration sufficient?
As a rule, this is not the case for data-holding applications. Persistent data, external services and their consistency are also crucial. We jointly determine which components are backed up and how a coherent recovery is practically proven.
How do you assess whether existing applications are suitable?
We consider runtime, interfaces, data storage, dependencies and operational requirements. A representative application helps test deployment, failure behavior and effort. The findings show which adaptations are useful and which applications should remain in their current environment for now.
How do you plan platform updates?
We agree version changes, compatibility checks and maintenance windows with the responsible teams. Tests in an appropriate environment check applications and affected interfaces before rollout. Procedures, decision points and recovery measures are documented; required operational services are agreed separately.
Your next step
What do you want your container platform to do next?
Whether it's a new entry, productive expansion or stabilization: Describe your applications and the current form of operation. We clarify the most important requirements and a suitable first step.
Kubernetes & Container Platforms
Your next step
Tell us what you need. We will route your enquiry to the right team and discuss the next steps with you.
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