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Latest Blog Posts

Stay up to date with our latest articles about cloud-native technologies, Kubernetes, and DevOps.

1219 posts

Planning Kubernetes Failover for Ingress and API Server

Planning Kubernetes Failover for Ingress and API Server

A resilient Kubernetes Ingress failover doesn't start with DNS but with clearly defined failure patterns and meaningful backend health checks. Active-active architectures reduce downtime but don't resolve faulty applications or unclear responsibilities. The edge must assess status, routing, and failover independently of individual clusters.

Running Kubernetes Productively with Your Own Edge Connection

Running Kubernetes Productively with Your Own Edge Connection

Kubernetes compute and public application ingress do not have to reside with the same provider. An independent edge layer handles Anycast, DNS, load balancing, TLS, protection functions, and backend cloaking, while the cluster is operated with the chosen provider or in your own data center. A clear division of roles between edge, network, and compute is crucial.

Connecting Kubernetes Gateway Across Providers to the Edge

Connecting Kubernetes Gateway Across Providers to the Edge

The Kubernetes Gateway API can form a portable interface between applications and public traffic. When connected to a provider-independent edge layer, routing, TLS, protection, and backend shielding remain separate from the network and cloud stack of the cluster. This simplifies multi-cloud scenarios, enhances resilience, and reduces infrastructure dependencies.

ACME DNS Challenge with the Edge Cloud in Kubernetes

ACME DNS Challenge with the Edge Cloud in Kubernetes

The ACME DNS-01 Challenge enables TLS certificates for Kubernetes services without making the backend accessible from the internet. Key factors include separate DNS permissions, a unique domain assignment, and the question of where TLS is terminated. Behind the ayedo Edge Cloud, this termination point is at the public edge, not necessarily within the cluster.

Ingress and Gateway: Deriving DNS Records from Hosts

Ingress and Gateway: Deriving DNS Records from Hosts

Kubernetes resources already contain the logical mapping between hostnames and applications. An automated DNS process can evaluate this information from Ingress or Gateway API, generate appropriate records for the edge address, and synchronize changes. Clear responsibilities, secure deletion logic, and the connection of DNS, edge routing, and backend targets are crucial.

Automatically Provisioning Load Balancers from Kubernetes

Automatically Provisioning Load Balancers from Kubernetes

Kubernetes can trigger the provisioning of a public load balancer as a declarative process. A Kubernetes Service describes the desired access to the application, while the ayedo Edge Cloud handles public accessibility, routing, and protection. This reduces manual network configuration and cleanly separates workload and edge responsibilities.

Provider-Independent Load Balancers for Kubernetes APIs

Provider-Independent Load Balancers for Kubernetes APIs

The Kubernetes API Server is not a typical ingress target but the central control point of a cluster. A Kubernetes API Server Load Balancer must therefore combine accessibility, failover, and access protection. The ayedo Edge Cloud publishes Kubernetes APIs provider-independently via Anycast Layer 4 and protects backend addresses through Backend Cloaking.

Provider-Independent Kubernetes Ingress with the Edge Cloud

Provider-Independent Kubernetes Ingress with the Edge Cloud

A Kubernetes Ingress doesn't need to be directly tied to a cloud provider's load balancer. A central edge layer can connect multiple Kubernetes clusters through unified public IPs, TLS termination, protection functions, and health checks. The ayedo Edge Cloud enables this model for ayedo Managed Kubernetes, private clusters, and Kubernetes environments with other providers.

Planning Automatic Failover for Kubernetes Backends

Planning Automatic Failover for Kubernetes Backends

Kubernetes backend failover doesn't start with traffic switching but with clearly defined states: Which endpoints are considered healthy, when is a backend removed from routing, and where is traffic redirected? The ayedo Edge Cloud separates this edge decision from the availability of Kubernetes workloads, creating a robust foundation for controlled failover.

Utilizing Edge Cloud with Your Own Kubernetes Clusters

Utilizing Edge Cloud with Your Own Kubernetes Clusters

A Kubernetes cluster does not need to be operated by the same provider as the edge infrastructure. The ayedo Edge Cloud separates public traffic entry from the compute platform, allowing it to be used with self-managed and provider-hosted Kubernetes clusters. This creates provider independence but changes the requirements for routing, security, and operations.

Cleanly Decoupling Kubernetes DNS and Certificates

Cleanly Decoupling Kubernetes DNS and Certificates

Kubernetes DNS, ACME-DNS-01, and TLS termination address different issues. When treated as a single function, unclear responsibilities, faulty automation, and unnecessary outage risks arise. An edge platform like the ayedo Edge Cloud can connect DNS publishing, ACME validation, and TLS termination without technically mixing these responsibilities.

Ingress and API Server with a Central Edge Entry Point

Ingress and API Server with a Central Edge Entry Point

A central edge entry point can consolidate public Kubernetes endpoints like Ingress services and API servers under a unified architecture. Key factors include a clear separation of routing rules, distinct security requirements, and controlled TLS termination. The ayedo Edge Cloud manages public access, protection, and distribution, while Kubernetes handles workloads and API functions.

Connecting Gateway API and Edge Routing in Kubernetes

Connecting Gateway API and Edge Routing in Kubernetes

The Kubernetes Gateway API delineates responsibilities between infrastructure, platform, and application more effectively than traditional Ingress resources. However, modeling within the cluster is not always sufficient for public routing. An edge platform like the ayedo Edge Cloud connects Kubernetes routing with Anycast, load balancing, TLS, protection functions, and backend failover.

Control Load Balancer Provisioning from Kubernetes

Control Load Balancer Provisioning from Kubernetes

Kubernetes can declaratively describe the desired state of public services but does not automatically handle the entire network provisioning. A Kubernetes integration connects resources like `Service` with an edge platform that implements public accessibility, routing, and protection. This keeps applications and infrastructure separate while automating the operational process.

Automating Ingress with the ayedo Edge Cloud

Automating Ingress with the ayedo Edge Cloud

Automating Kubernetes Ingress involves more than just creating a load balancer via YAML. The key is the connection between declarative resources, edge configuration, and the actual backend. The ayedo Edge Cloud handles public entry, routing, protection, and health checks, while Kubernetes describes the desired publication.

Operating Kubernetes Load Balancers Independently of Providers

Operating Kubernetes Load Balancers Independently of Providers

A Kubernetes Service of type `LoadBalancer` often ties public entry to the infrastructure of a single cloud provider. In contrast, a central edge entry separates cluster operation from traffic processing. The ayedo Edge Cloud handles routing, protection, and distribution in front of Kubernetes clusters—regardless of the provider they are operated with.

Positioning DNS and Load Balancing in Edge Architecture

Positioning DNS and Load Balancing in Edge Architecture

DNS, Anycast reachability, and load balancing serve different purposes. A successful DNS resolution does not guarantee an accessible application; an accessible edge does not prove a healthy backend. For troubleshooting, the entire chain must be considered separately: DNS response, edge reachability, protocol processing, and backend distribution.