HM9000 will only be updated in response to vulnerability discoveries and major bugs. No new features will be introduced during this period.
See EOL Timeline for Legacy DEA Backend
HM 9000 is a rewrite of CloudFoundry's Health Manager. HM 9000 is written in Golang and has a more modular architecture compared to the original ruby implementation. HM 9000's dependencies are locked down in a separate repo, the hm-workspace.
There are several Go Packages in this repository, each with a comprehensive set of unit tests. In addition there is an integration test that exercises the interactions between the various components. What follows is a detailed breakdown.
HM9000 solves the high-availability problem by relying on etcd, a robust high-availability store distributed across multiple nodes. Individual HM9000 components are built to rely completely on the store for their knowledge of the world. This removes the need for maintaining in-memory information and allows clarifies the relationship between the various components (all data must flow through the store).
To avoid the singleton problem, we will turn on multiple instances of each HM9000 component across multiple nodes. These instances will vie for a lock in the high-availability store. The instance that grabs the lock gets to run and is responsible for maintaining the lock. Should that instance enter a bad state or die, the lock becomes available allowing another instance to pick up the slack. Since all state is stored in the store, the backup component should be able to function independently of the failed component.
For more information, see the HM9000 release announcement.
If HM9000 enters a bad state, the simplest solution - typically - is to delete the contents of the data store. Follow the steps defined by the etcd-release for Disaster Recovery HM9000 should recover on its own.
Assuming you have go
v1.5+ installed:
-
Clone
dea-hm-workspace
and its submodules:$ cd $HOME (or other appropriate base directory) $ git clone https://github.com/cloudfoundry/dea-hm-workspace $ cd dea-hm-workspace $ git submodule update --init --recursive $ mkdir bin $ export GOPATH=$PWD $ export PATH=$PATH:$GOPATH/bin
-
Download and install
gnatsd
(the version downloaded here is for linux-x64 - if you have a different platform, be sure to download the correct tarball):$ wget https://github.com/nats-io/gnatsd/releases/download/v0.7.2/gnatsd-v0.7.2-linux-amd64.tar.gz $ tar xzf gnatsd-v0.7.2-linux-amd64.tar.gz $ mv ./gnatsd $GOPATH/bin
-
Install
etcd
to $GOPATH/bin (the downloaded version here is for linux-x64 - if you have a different platform, be sure to download the correct tarball)$ wget https://github.com/coreos/etcd/releases/download/v2.2.4/etcd-v2.2.4-linux-amd64.tar.gz $ tar xzf etcd-v2.2.4-linux-amd64.tar.gz $ mv etcd-v2.2.4-linux-amd64/etcd $GOPATH/bin
-
Start
etcd
:$ mkdir $HOME/etcdstorage $ (cd $HOME/etcdstorage && etcd &)
etcd
generates a number of files in the current working directory when run locally, henceetcdstorage
-
Run
hm9000
:$ go install github.com/cloudfoundry/hm9000 $ hm9000 <args>
and get usage information. Run
hm9000 --help
to see supported commands. -
Install consul (if you plan to run the integration test suite):
The
mcat
integration test suite requires that theconsul
binary be in yourPATH
. Refer to the installation instructions for your specific platform to download an install consul. -
Running the tests
$ go get github.com/onsi/ginkgo/ginkgo $ cd src/github.com/cloudfoundry/hm9000/ $ ginkgo -r -p -skipMeasurements -race -failOnPending -randomizeAllSpecs
These tests will spin up their own instances of
etcd
as needed. It shouldn't interfere with your long-runningetcd
server. -
Updating hm9000. You'll need to fetch the latest code and recompile the hm9000 binary:
$ cd $GOPATH/src/github.com/cloudfoundry/hm9000 $ git checkout master $ git pull $ go install .
hm9000
requires a config file. To get started:
$ cd $GOPATH/src/github.com/cloudfoundry/hm9000
$ cp ./config/default_config.json ./local_config.json
$ vim ./local_config.json
You must specify a config file for all the hm9000
commands. You do this with (e.g.) --config=./local_config.json
hm9000 analyze --config=./local_config.json
will connect to CC, fetch the desired state, put it in the store, compute the delta between desired and actual state, and then evaluate the pending starts and stops and publishes them over NATS. You can optionally pass -poll
to manage desired state periodically.
hm9000 listen --config=./local_config.json
will come up, listen for heartbeat messages via NATS and HTTP, and put them in the store.
hm9000 serve_api --config=./local_config.json
will come up and provide response to requests for /bulk_app_state
over HTTP.
hm9000 evacuator --config=./local_config.json
will come up and listen for droplet.exited
messages and queue start
messages for any evacuating droplets. Start messages will be sent when the analyzer sends start and stop messages. The evacuator
is not necessary for deterministic evacuation but is provided for backward compatibility with old DEAs. There is no harm in running the evacuator
during deterministic evacuation.
hm9000 shred --config=./local_config.json
The shredder will periodically (once per hour, by default) compact the store - removing any orphaned (empty) directories. You can optionally pass -poll
to send messages periodically.
hm9000 dump --config=./local_config.json
will dump the entire contents of the store to stdout. The output is structured in terms of apps and provides insight into the state of a cloud foundry installation. If you want a raw dump of the store's contents pass the --raw
flag.
etcd
has a very simple curlable API, which you can use in lieu of dump
.
watch -n 1 /var/vcap/packages/hm9000/hm9000 dump --config=/var/vcap/jobs/hm9000/config/hm9000.json
on a health manager instance should dump the store.
HM9000 is configured using a JSON file. Here are the available entries:
-
heartbeat_period_in_seconds
: Almost all configurable time constants in HM9000's config are specified in terms of this one fundamental unit of time - the time interval between heartbeats in seconds. This should match the value specified in the DEAs and is typically set to 10 seconds. -
heartbeat_ttl_in_heartbeats
: Incoming heartbeats are stored in the store with a TTL. When this TTL expires the instane associated with the hearbeat is considered to have "gone missing". This TTL is set to 3 heartbeat periods. -
actual_freshness_ttl_in_heartbeats
: This constant serves two purposes. It is the TTL of the actual-state freshness key in the store. The store's representation of the actual state is only considered fresh if the actual-state freshness key is present. Moreover, the actual-state is fresh only if the actual-state freshness key has been present for at leastactual_freshness_ttl_in_heartbeats
. This avoids the problem of having the first detected heartbeat render the entire actual-state fresh -- we must wait a reasonable period of time to hear from all DEAs before calling the actual-state fresh. This TTL is set to 3 heartbeat periods -
grace_period_in_heartbeats
: A generic grace period used when scheduling messages. For example, we delay start messages by this grace period to give a missing instance a chance to start up before sending a start message. The grace period is set to 3 heartbeat periods. -
desired_freshness_ttl_in_heartbeats
: The TTL of the desired-state freshness. Set to 12 heartbeats. The desired-state is considered stale if it has not been updated in 12 heartbeats. -
store_max_concurrent_requests
: The maximum number of concurrent requests that each component may make to the store. Set to 30. -
sender_message_limit
: The maximum number of messages the sender should send per invocation. Set to 30. -
sender_polling_interval_in_heartbeats
: The time period in heartbeat units between sender invocations when usinghm9000 send --poll
. Set to 1. -
sender_timeout_in_heartbeats
: The timeout in heartbeat units for each sender invocation. If an invocation of the sender takes longer than this thehm9000 send --poll
command will fail. Set to 10. -
fetcher_polling_interval_in_heartbeats
: The time period in heartbeat units between desired state fetcher invocations when usinghm9000 fetch_desired --poll
. Set to 6. -
fetcher_timeout_in_heartbeats
: The timeout in heartbeat units for each desired state fetcher invocation. If an invocation of the fetcher takes longer than this thehm9000 fetch_desired --poll
command will fail. Set to 60. -
analyzer_polling_interval_in_heartbeats
: The time period in heartbeat units between analyzer invocations when usinghm9000 analyze --poll
. Set to 1. -
analyzer_timeout_in_heartbeats
: The timeout in heartbeat units for each analyzer invocation. If an invocation of the analyzer takes longer than this thehm9000 analyze --poll
command will fail. Set to 10. -
shredder_polling_interval_in_heartbeats
: The time period in heartbeat units between shredder invocations when usinghm9000 shred --poll
. Set to 360. -
shredder_timeout_in_heartbeats
: The timeout in heartbeat units for each shredder invocation. If an invocation of the shredder takes longer than this thehm9000 analyze --poll
command will fail. Set to 6. -
number_of_crashes_before_backoff_begins
: When an instance crashes HM9000 immediately restarts it. If, however, the number of crashes exceeds this number HM9000 will apply an increasing delay to the restart. -
starting_backoff_delay_in_heartbeats
: The initial delay (in heartbeat units) to apply to the restart message once an instance crashes more thannumber_of_crashes_before_backoff_begins
times. -
maximum_backoff_delay_in_heartbeats
: The restart delay associated with crashes doubles with each crash but is not allowed to exceed this value (in heartbeat units). -
listener_heartbeat_sync_interval_in_milliseconds
: The listener aggregates heartbeats and flushes them to the store periodically with this interval. -
store_heartbeat_cache_refresh_interval_in_milliseconds
: To improve performance when writing heartbeats, the store maintains a write-through cache of the store contents. This cache is invalidated and refetched periodically with this interval. -
cc_auth_user
: The user to use when authenticating with the CC desired state API. Set by BOSH. -
cc_auth_password
: The password to use when authenticating with the CC desired state API. Set by BOSH. -
cc_base_url
: The base url for the CC API. Set by BOSH. -
desired_state_batch_size
: The batch size when fetching desired state information from the CC. Set to 500. -
fetcher_network_timeout_in_seconds
: Each API call to the CC must succeed within this timeout. Set to 10 seconds. -
store_schema_version
: The schema of the store. HM9000 does not migrate the store, instead, if the store data format/layout changes and is no longer backward compatible the schema version must be bumped. -
store_urls
: An array of etcd server URLs to connect to. -
actual_freshness_key
: The key for the actual freshness in the store. Set to"/actual-fresh"
. -
desired_freshness_key
: The key for the actual freshness in the store. Set to"/desired-fresh"
. -
dropsonde_port
: The port which metron is listening on to receive metrics. -
api_server_address
: The IP address of machine runnine HM9000. -
api_server_port
: The port in which to serve the HTTP API. -
api_server_username
: User name to be used for basic auth on the API server. -
api_server_password
: Password to be used for basic auth on the API server. -
log_level
: Must be one of"INFO"
or"DEBUG"
-
sender_nats_start_subject
: The NATS subject for HM9000's start messages. Set to"hm9000.start"
. -
sender_nats_stop_subject
: The NATS subject for HM9000's stop messages. Set to"hm9000.stop"
. -
nats.host
: The NATS host. Set by BOSH. -
nats.port
: The NATS host. Set by BOSH. -
nats.user
: The user for NATS authentication. Set by BOSH. -
nats.password
: The password for NATS authentication. Set by BOSH.
The top level is home to the hm9000
CLI. The hm
package houses the CLI logic to keep the root directory cleaner. The hm
package is where the other components are instantiated, fed their dependencies, and executed.
The actualstatelistener
provides a simple listener daemon that monitors the NATS
stream for app heartbeats. It generates an entry in the store
for each heartbeating app under /actual/INSTANCE_GUID
.
It also maintains a FreshnessTimestamp
under /actual-fresh
to allow other components to know whether or not they can trust the information under /actual
The desiredstatefetcher
requests the desired state from the cloud controller. It transparently manages fetching the authentication information over NATS and making batched http requests to the bulk api endpoint.
Desired state is stored under `/desired/APP_GUID-APP_VERSION
The analyzer
comes up, analyzes the actual and desired state, and puts pending start
and stop
messages in the store. If a start
or stop
message is already in the store, the analyzer will not override it.
These are the metrics emitted:
- NumberOfAppsWithAllInstancesReporting: The number of desired applications for which all instances are reporting (the state of the instance is irrelevant: STARTING/RUNNING/CRASHED all count).
- NumberOfAppsWithMissingInstances: The number of desired applications for which an instance is missing (i.e. the instance is simply not heartbeating at all).
- NumberOfUndesiredRunningApps: The number of undesired applications with at least one instance reporting as STARTING or RUNNING.
- NumberOfRunningInstances: The number of instances in the STARTING or RUNNING state.
- NumberOfMissingIndices: The number of missing instances (these are instances that are desired but are simply not heartbeating at all).
- NumberOfCrashedInstances: The number of instances reporting as crashed.
- NumberOfCrashedIndices: The number of indices reporting as crashed. Because of the restart policy an individual index may have very many crashes associated with it.
If either the actual state or desired state are not fresh all of these metrics will have the value -1
.
The sender
runs periodically and pulls pending messages out of the store and sends them over NATS
. The sender
verifies that the messages should be sent before sending them (i.e. missing instances are still missing, extra instances are still extra, etc...) The sender
is also responsible for throttling the rate at which messages are sent over NATS.
ÂÂ
The apiserver
responds to NATS app.state
messages and allow other CloudFoundry components to obtain information about arbitrary applications.
The evacuator
responds to NATS droplet.exited
messages. If an app exists because it is EVACUATING the evacuator
sends a start
message over NATS. The evacuator
is not necessary during deterministic evacuations but is provided to maintain backward compatibility with older DEAs.
The shredder
prunes old/crufty/unnecessary data from the store. This includes pruning old schema versions of the store.
config
parses the config.json
configuration. Components are typically given an instance of config
by the hm
CLI.
helpers
contains a number of support utilities.
A trivial wrapper around net/http
that improves testability of http requests.
Provides a (sys)logger. Eventually this will use steno to perform logging.
Supports metrics tracking. Used by the metricsserver
and components that post metrics.
models
encapsulates the various JSON structs that are sent/received over NATS/HTTP. Simple serializing/deserializing behavior is attached to these structs.
store
sits on top of the lower-level storeadapter
and provides the various hm9000 components with high-level access to the store (components speak to the store
about setting and fetching models instead of the lower-level StoreNode
defined inthe storeadapter
).
testhelpers
contains a (large) number of test support packages. These range from simple fakes to comprehensive libraries used for faking out other CloudFoundry components (e.g. heartbeating DEAs) in integration tests.
Provides a fake implementation of the helpers/logger
interface
Provides a fake implementation of the helpers/httpclient
interface that allows tests to have fine-grained control over the http request/response lifecycle.
Provides a fake implementation of the helpers/metricsaccountant
interface that allows test to make assertions on metrics tracking.
app
is a simple domain object that encapsulates a running CloudFoundry app.
The app
package can be used to generate self-consistent data structures (heartbeats, desired state). These data structures are then passed into the other test helpers to simulate a CloudFoundry eco-system.
Think of app
as your source of fixture test data. It's intended to be used in integration tests and unit tests.
Some brief documentation -- look at the code and tests for more:
//get a new fixture app, this will generate appropriate
//random APP and VERSION GUIDs
app := NewApp()
//Get the desired state for the app. This can be passed into
//the desired state server to simulate the APP's presence in
//the CC's DB. By default the app is staged and started, to change
//this, modify the return value.
desiredState := app.DesiredState(NUMBER_OF_DESIRED_INSTANCES)
//get an instance at index 0. this getter will lazily create and memoize
//instances and populate them with an INSTANCE_GUID and the correct
//INDEX.
instance0 := app.InstanceAtIndex(0)
//generate a heartbeat for the app.
//note that the INSTANCE_GUID associated with the instance at index 0 will
//match that provided by app.InstanceAtIndex(0)
app.Heartbeat(NUMBER_OF_HEARTBEATING_INSTANCES)
Provides a collection of custom Gomega matchers.
Listens on the NATS bus for health.start
and health.stop
messages. It parses these messages and makes them available via a simple interface. Useful for testing that messages are sent by the health manager appropriately.
Brings up an in-process http server that mimics the CC's bulk endpoints (including authentication via NATS and pagination).
Brings up and manages the lifecycle of a live NATS server. After bringing the server up it provides a fully configured cfmessagebus object that you can pass to your test subjects.
The MCAT is as HM9000's integration test suite. It tests HM9000 by providing it with inputs (desired state, actual state heartbeats, and time) and asserting on its outputs (start and stop messages and api/metrics endpoints).
In addition to the MCAT there is a performance-measuring test suite at https://github.com/pivotal-cf-experimental/hmperformance.