Making typed common cache so that we don't use wrong types
across set/get methods and more higher-level methods can be
defined for cache.
Currently, we are not able to operate over all keys of the cache
due to generic types.
I also removed code comments around the cache.
Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
* skeleton for envtest fission
* Refactor code and add CLI test
* hack
* Update server test
* remove skip-ci for lint tests
* Pass client go storagesvc
* Add clientGen interface across code
* Fix storagesvc test
* Fix cmd client
* add retry in server test
* Fix concurrenct access to pool deployment
* Remove old executor test
* get rid of ginkgo/gomega
* disable flaky test
* flaky test
* revert ci change
* handle err from ParseBool
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Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
Co-authored-by: Pranoy Kundu <pranoy1998k@gmail.com>
- added retainPods flag to take in the number of specialized pods to retain
- add retainPods in both the create function and update function command
- modify crd keys to be typed instead of string
- keep track of function generation in case of update function operation
- add delete handler function to make sure specialized pods are deleted in case function is deleted
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Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
Signed-off-by: Pranoy Kundu <pranoy1998k@gmail.com>
Co-authored-by: Pranoy Kundu <pranoy1998k@gmail.com>
* Add fixes for failure in specialization
* reduce specialization in progress and remove expired requests from queue when specialization is timed out
* rename markSpecializationFailure and remove logger from the queue
* refactor clean up code in api.go and add test case for queue
Details:
- Cleanup svc waiting for the counter in the pool manager if specialization fails
- Cleanup active requests counter in pool manager if client exists the demand for function service while we have allocated function service
- Consider specialization timeout if pod ready timeout > specialization timeout in waiting for ready pod. We also consider if the request to choosePod is cancelled.
- We ensure if we have requests waiting for service requests but if there is no pod in the specialization we clean up those.
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Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
Co-authored-by: Pranoy Kundu <pranoy1998k@gmail.com>
* add functionality to wait for specialization by keeping track of incoming requests
* format executor package
* fix required capacity to specialise new pod condition
* move handling concurrency logic into pool cache from executor
* remove unused methods and structs
* implement queue in to store the svc wait
* create a queue struct and its methods to handle concurrent inputs
* use newly created queue to store waiting for svc requests
* add waiting requests in queue and use them when a svc is ready
* set function to request in queue if the context is still alive
* remove concurrency approach to set svc for waiting requests
* update the active requests whenever requests from pool are assigned a svc
* add doc to define why the conditions exist
* remove unwanted params in strcut and clean up code
* set error while getting svc value if sum of specialization in progress and specialized is only more than concurrency limit
* remove duplicate functions and unnecessary values in struct
* close svc channel on set value and create constants for default concurrency and rpp
* get next value in queue in case context is timed out for fetched value
* remove specializationInProgress counter from pool cache
* return in case the queue is empty wihle setting func to svc
* test getSvcVaue and setSvcValue in poolcache
* add unit tests for GetConcurrent and GetRequestsPerPod methods
* reorder imports
* add fuzzy testing for getSVCValue and setSVCValue in poolcache
* restructure go mod file and update pool cache test cases
* Add tests and bug fixes
* refactor code and add test cases
* add svcWaiting check while setting svc value
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Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
Co-authored-by: Sanket Sudake <sanketsudake@gmail.com>
Merged pool cache package into fscache to avoid import cycle.
Also changed all types in pool cache from interface to specific
types.
Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
- Enabled metrics in storagesvc, buildermgr and controller.
- Added a middleware in storagesvc, router, executor and controller to monitor total number of http requests, each request's duration and number of requests that are currently being served. These requests can be filtered on their path, method or statuscode.
- Removed functionCallDuration and functionCallResponseSize metrics from router.
- Removed funcAliveSummary, funcIsAlive, funcReapTime and idleTime metrics.
- Replaced function calls for collecting metrics to direct metric calls.
Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
Co-authored-by: Sanket Sudake <sanketsudake@gmail.com>
This change mainly fixes few things around router and executor
exposed metrices.
1. We are trying to follow standard in metric names.
2. Lables such as namespace are colliding with kube-prometheus standards
so they are getting relabled to exported_namespace. Added function prefix
to resolve this.
Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
* Retrieve pod metrics only if metrics server is running
Currently we query pod metrics every 30 sec which floods executor logs,
added check which confirms if metrics server is running then only we start
querying pod metrics for identifying CPU utilization.
Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
* Fixed couple of typos and misspells with Go CI
Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
* Remove unnecessary conversions with Go CI
Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
Websocket event support for cleaning up pods only after WS connection is terminated. The support for websocket is right now in the environment itself and router simply acts as a proxy for WS communication!
This feature enables routing more than one request to a pod at the same time. This is the first draft of the work and might involve more optimizations later.
Poolmanager when tested at high load had some issues and this PR fixes one set of them which were found so far.
Co-authored-by: Vishal <vishal-biyani@users.noreply.github.com>
Concurrency in the pool manager allows specializing pods concurrently based on a specified limit.
Co-authored-by: Vishal <vishal-biyani@users.noreply.github.com>
The pool manager keeps terminating function pod periodically even there are
traffic to the function. The root cause is that executor, poolmgr, newdeploy
manage their own functionServiceCache separately. And when router taps a
function, executor updates the access time of the function service entry in its
own cache without notifying executor types to do the update as well. Hence,
the access time of function service entry in poolmanager cache never gets updated.
Due to the access time never gets updated, the idle pod reaper in poolmanager
then thinks the function pod is in idle state and recycle it.
This PR removes the cache in executor itself, and when router tries to tap a function,
executor will call executor type to tap the function and update access time.
