The load-balancing policy is an encapsulation of the LBaaS v2 service that distributes the network load evenly among members in a pool. Users are in general not interested in the implementation details although they have a strong requirement of the features provided by a load-balancer, such as load-balancing, health-monitoring etc.
The load-balancing policy is designed to be applicable to a cluster of virtual machines or some variants or extensions of basic virtual machines. Currently, Senlin only supports the load balancing for Nova servers. Future revisions may extend this to more types of clusters.
Before using this policy, you will have to make sure the LBaaS v2 service is installed and configured properly.
The design of the load-balancing policy faithfully follows the interface and properties exposed by the LBaaS v2 service. A sample spec is shown below:
type: senlin.policy.loadbalance
version: 1.1
properties:
pool:
protocol: HTTP
protocol_port: 80
subnet: private_subnet
lb_method: ROUND_ROBIN
admin_state_up: true
session_persistence:
type: HTTP_COOKIE
cookie_name: my_cookie
vip:
subnet: public_subnet
address: 12.34.56.78
connection_limit: 5000
protocol: HTTP
protocol_port: 80
admin_state_up: true
health_monitor:
type: HTTP
delay: 20
timeout: 5
max_retries: 3
admin_state_up: true
http_method: GET
url_path: /health
expected_codes: 200
lb_status_timeout: 300
As you can see, there are many properties related to the policy. The good news is that for most of them, there are reasonable default values. All properties are optional except for the following few:
pool.subnet
: This property provides the name or ID of the subnet for the
port on which nodes can be connected.vip.subnet
: This property provides the name or ID of the subnet on which
the virtual IP (VIP) is allocated.The following subsections describe each and every group of properties and the general rules on using them.
Note that you can create and configure load-balancers all by yourself when you have a good reason to do so. However, by using the load-balancing policy, you no longer have to manage the load-balancer’s lifecycle manually and you don’t have to update the load-balancer manually when cluster membership changes.
The load balancer pool is managed automatically when you have a load-balancing policy attached to a cluster. The policy automatically adds existing nodes to the load balancer pool when attaching the policy. Later on, when new nodes are added to the cluster (e.g. by cluster scaling) or existing nodes are removed from the cluster, the policy will update the pool’s status to reflect the change in membership.
Each pool is supposed to use the same protocol and the same port number for
load sharing. By default, the protocol (i.e. pool.protocol
) is set to
“HTTP
” which can be customized to “HTTPS
” or “TCP
” in your setup.
The default port number is 80, which also can be modified to suit your service
configuration.
All nodes in a pool are supposed to reside on the same subnet, and the subnet
specified in the pool.subnet
property must be compatible to the subnets of
existing nodes.
The LBaaS service is capable of load balance among nodes in different ways
which are collectively called the lb_method
. Valid values for this
property are:
ROUND_ROBIN
: The load balancer will select a node for workload handling
on a round-robin basis. Each node gets an equal pressure to handle workloads.LEAST_CONNECTIONS
: The load balancer will choose a node based on the
number of established connections from client. The node will the lowest
number of connections will be chosen.SOURCE_IP
: The load balancer will compute hash values based on the IP
addresses of the clients and the server and then use the hash value for
routing. This ensures the requests from the same client always go to the
same server even in the face of broken connections.The pool.admin_state_up
property for the most time can be safely ignored.
It is useful only when you want to debug the details of a load-balancer.
The last property that needs some attention is pool.session_persistence
which is used to persist client sessions even if the connections may break now
and then. There are three types of session persistence supported:
SOURCE_IP
: The load balancer will try resume a broken connection based
on the client’s IP address. You don’t have to configure the cookie_name
property in this case.HTTP_COOKIE
: The load balancer will check a named, general HTTP cookie
using the name specified in the cookie_name
property and then resume the
connection based on the cookie contents.APP_COOKIE
: The load balancer will check the application specific cookie
using the name specified in the cookie_name
and resume connection based
on the cookie contents.The Virtual IP (or “VIP” for short) refers to the IP address visible from the
client side. It is the single IP address used by all clients to access the
application or service running on the pool nodes. You have to specify a value
for the vip.subnet
property even though you don’t have a preference about
the actual VIP allocated. However, if you do have a preferred VIP address to
use, you will need to provide both vip.subnet
and vip.address
values.
The LBaaS service will check if both values are valid.
Note that if you choose to omit the vip.address
property, the LBaaS
service will allocate an address for you from the provided subnet. You will
have to check the cluster’s data
property after the load-balancing policy
has been successfully attached to your cluster. For example:
$ openstack cluster show my_cluster
+------------------+------------------------------------------------+
| Field | Value |
+------------------+------------------------------------------------+
| created_at | 2017-01-21T06:25:42Z |
| data | { |
| | "loadbalancers": { |
| | "1040ad51-87e8-4579-873b-0f420aa0d273": { |
| | "vip_address": "11.22.33.44" |
| | } |
| | } |
| | } |
| dependents | {} |
| desired_capacity | 10 |
| domain_id | None |
| id | 30d7ef94-114f-4163-9120-412b78ba38bb |
| ... | ... |
The output above shows you that the cluster has a load-balancer created for you and the VIP used to access that cluster is “11.22.33.44”.
Similar to the pool properties discussed in previous subsection, for the
virtual IP address, you can also specify the expected network protocol and
port number to use where clients will be accessing it. The default value for
vip.protocol
is “HTTP
” and the default port number is 80. Both can be
customized to suit your needs.
Another useful feature provided by the LBaaS service is the cap of maximum
number of connections per second. This is a limit set on a per-VIP basis. By
default, Senlin sets the vip.connection_limit
to -1 which means there is
no upper bound for connection numbers. You may want to customize this value
to restrict the number of connection requests per second for your service.
The last property in the vip
group is admin_state_up
which is default
to “True
”. In some rare cases, you may want to set it to “False
” for
the purpose of debugging.
Since a load-balancer sits in front of all nodes in a pool, it has to be aware of the health status of all member nodes so as to properly and reliably route client requests to the active nodes for processing. The problem is that there are so many different applications or web services each exhibit a different runtime behavior. It is hard to come up with an approach generic and powerful enough to detect all kinds of node failures.
The LBaaS that backs the Senlin load-balancing policy supports four types of node failure detections, all generic enough to serve a wide range of applications.
PING
: The load-balancer pings every pool members to detect if they are
still reachable.TCP
: The load-balancer attempts a telnet connection to the protocol port
configured for the pool thus determines if a node is still alive.HTTP
: The load-balancer attempts a HTTP request (specified in the
health_monitor.http_method
property) to specific URL (configured in the
health_monitor.url_path
property) and then determines if a node is still
active by comparing the result code to the expected value (configured in the
health_monitor.expected_codes
.HTTPS
: The load-balancer checks nodes’ aliveness by sending a HTTPS
request using the same values as those in the case of HTTP
.The health_monitor.expected_codes
field accepts a string value, but you
can specify multiple HTTP status codes that can be treated as an indicator of
node’s aliveness:
200
;200, 202
;200-204
.To make the failure detection reliable, you may want to check and customize
the following properties in the health_monitor
group.
timeout
: The maximum time in milliseconds that a monitor waits for a
response from a node before it claims the node unreachable. The default is
5.max_retries
: The number of allowed connection failures before the monitor
concludes that node inactive. The default is 3.delay
: The time in milliseconds between sending two consecutive requests
(probes) to pool members. The default is 10.A careful experimentation is usually warranted to come up with reasonable values for these fields in a specific environment.
Due to the way the LBaaS service is implemented, creating load balancers and health monitors, updating load balancer pools all take considerable time. In some deployment scenarios, it make take the load balancer several minutes to become operative again after an update operation.
The lb_status_timeout
option is provided since version 1.1 of the
load-balancing policy to mitigate this effect. In real production environment,
you are expected to set this value based on some careful dry-runs.
When creating a new load-balancing policy object, Senlin checks if the subnet provided are actually known to the Neutron network service. Or else, the policy creation will fail.
When a load-balancing policy has been successfully attached to a cluster, you
can observe the VIP address from the data
property of the cluster, as
described above.
You can also check the data
property of nodes in the cluster. Each node
will have a lb_member
key in its data property indicating the ID of the
said node in the load-balancer pool.
When the load-balancing policy is detached from a cluster successfully. These data will be automatically removed, and the related resources created at the LBaaS side are deleted transparently.
In the case where there is a Deletion Policy attached to the same cluster, the deletion policy will elect the victims to be removed from a cluster before the load-balancing policy gets a chance to remove those nodes from the load-balancing pool.
However, when there is no such a deletion policy in place, the load-balancing policy will try to figure out the number of nodes to delete (if needed) and randomly choose the victim nodes for deletion.
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