Page tree
Skip to end of metadata
Go to start of metadata


Product Name
Load Balancing
Publisher Page
Google
Category
Virtual Machine Software
Release
TKU 2018-Oct-1
More Information
Publisher Link
Google


Product Description

High performance, scalable load balancing on Google Cloud Platform. Scale your applications on Google Compute Engine from zero to full-throttle with Google Cloud Load Balancing, with no pre-warming needed. Distribute your load-balanced compute resources in single or multiple regions, close to your users and to meet your high availability requirements. Cloud Load Balancing can put your resources behind a single anycast IP and scale your resources up or down with intelligent Autoscaling. 



Triggers

PatternTrigger NodeAttributeConditionArgument
RESTAPIsDiscoveredCloudAPIResultListdiscovery_method=Google.Compute.ForwardingRules.List

REST APIs

RESTAPIsComments
Google.Compute.GlobalForwardingRules.List
Google.Compute.TargetHttpProxies.List
.Google.Compute.TargetHttpsProxies.List
Google.Compute.UrlMaps.List
Google.Compute.BackendServices.List
Google.Compute.RegionBackendServices.List
Google.Compute.TargetPools.List


Pattern Summary

  • Pattern models LoadBalancerService node:
NodeKindAttributeDefault value/Comments
LoadBalancerService
type

Google Load Balancer

key<id>
name<name>
cloudtrue
project
project_name
availability_zones


port
protocol
scheme
ip_version
ip_addr
network
subnetwork

  • Pattern models LoadBalancerPool node:
NodeKindAttributeDefault value/Comments
LoadBalancerPooltype

Google Backend Service

key<id>
name<name>
cloudtrue
project
project_name
availability_zones


port
protocol
network
subnetwork
session_affinity
failover_ratio
connection_draining
protocol
port_name
enable_CDN
scheme
timeout_sec
affinity_cookie_ttl_sec
description
max_utilization
capacity_scaler
balancing_mode

  • Pattern models LoadBalancerMember node:


NodeKindAttributeDefault value/Comments
LoadBalancerMember
name<name>
cloudtrue
project
project_name

Testing


This pattern was tested against a live installation .

Information Sources

Most information used to develop the pattern came from analyzing a live installation of the product.

Open Issues

There are no known open issues with this pattern.