RUK-COM / CLOUD NETWORK SERVICES
Connect through one endpoint and distribute connections across available backends. Build an L4 load-balancing architecture on Cloud IaaS, with Ruk-Com expertise for clusters and autoscaling.
INTERACTIVE / TRAFFIC LAB
Select a scenario. Watch round-robin skip unavailable backends and admit a returning node only after its readiness gate.
Logical flow: validate the actual return path and health-check design for your deployment. Timing and readiness gates are illustrative. Existing connections may need to reconnect or retry after failure; they are not migrated automatically.
TWO OPERATING MODELS
Use existing virtual servers or provision from a template using scaling rules. Align the model with your release process and traffic profile.
Choose and manage existing VMs. Useful when each server needs explicit configuration review before joining the pool.
Provision backends from an image template using scale-out and scale-in rules. Best suited to repeatable boot and deployment workflows.
TRANSPORT / CONNECTION DESIGN
Start with the protocol, port and backend pool. Design the application to operate across multiple nodes.
Distribute transport-layer traffic with round-robin selection. Match service ports to the processes listening on your VMs.
The TCP example maps one connection to one backend. A new connection is a different event from another HTTP request on an existing connection.
For HTTPS through L4, define backend TLS termination and certificates. Include port mapping and certificate renewal in the deployment plan.
TCP :44310.20.10.11–14IPv4 / Virtual ServersDEPLOYMENT / BLUEPRINT
Work with Ruk-Com to align network, compute and backend design, with inputs your operations team can review and use.
Bring your diagram, port inventory, peak traffic profile and application constraints to the Cloud IaaS design discussion.
Match the compute zone/resource to the VM or template. The referenced modes exclude VMware virtual servers, Smart Servers and bare metal.
Backends need an IP in the selected network zone and must share the same IP range. Also select the nodes network group for autoscaling.
Record the hostname, protocol and port set, plus the services required on each backend.
Set balancer port speed and CPU priority separately from template-node memory, CPUs and rate limit. Align min/max node counts with available resources.
AUTOSCALING / CONTROL LOOP
Scaling rules are the starting point. Validate templates, application startup and available capacity together.
Minimum preserves the configured node floor. Maximum sets the planned ceiling. Provisioning still depends on available resources and a working template.
Evaluate traffic and scaling-rule conditions.
Create a VM from the template within the bounds.
Validate the service before admitting new connections.
Include ready backends in the routing rotation.
Scale-in design: Plan to stop new connections, complete or handle in-flight work, then validate removal. The illustrated drain step is a design requirement to confirm for your deployment.
ENGINEERING / PRODUCTION READINESS
Consider the network and the application together, so growth does not introduce new bottlenecks.
An open port does not necessarily mean the application is usable. Plan dependency checks and test unavailable-backend behaviour.
Review sessions, caches and runtime file writes. State kept only on one VM may not be available when a user reaches another node.
Adding a backend does not replicate databases or files. Design a data layer and backup plan that support every node.
Set client timeouts, retry behaviour and idempotency around the workload, so interrupted connections do not duplicate transactions.
Test CPU, network, connection counts and downstream bottlenecks. More VMs do not guarantee linear throughput for every workload.
Multiple backends spread workload risk. Design load-balancer availability and maintenance windows as explicit parts of the architecture.
RUK-COM / ENGINEER TO ENGINEER
Work with a team that considers compute, networking and real workloads. Define the scope and handover evidence from the beginning.
Review the traffic profile, listeners and backend dependencies before choosing the cluster model and Cloud IaaS resources.
Exercise distribution, backend failure, recovery and scaling against the plan. Record the results and limitations.
Hand over the diagram, configuration and runbook, including monitoring points and escalation steps within the agreed scope.
ENGINEERING / FAQ
Align the architecture and readiness expectations across your engineering team.
Choose a cluster for explicit control of individual VMs. Autoscaling suits repeatable template-based backends with tested startup and shutdown behaviour.
This page covers L4. Its TCP example selects a backend for a new connection. HTTP keep-alive or HTTP/2 may carry multiple requests within that connection.
Do not assume existing connections can migrate. Clients may need to reconnect or retry while new work routes to available backends. Test the actual application and timeout behaviour.
The load balancer distributes traffic; it does not replicate application data. Plan sessions, databases, shared storage and backups for multi-node operation.
Start with the current diagram, protocols and ports, VM count, traffic profile and application constraints. These inputs guide the Cloud IaaS planning discussion.
Technical reference: cluster and autoscaling configuration ↗
LOAD BALANCERS + CLOUD IaaS
Bring compute, networking and backend clusters into one plan. Explore Cloud IaaS and work through the details with Ruk-Com.