* Refactor specialization process
* Separate readiness and liveness probe to different routes
For newdeploy, readiness probe should check whether a fetcher specializes env container successfully or not. In this commit, fetcher returns the actual state of current specialization status instead of returning 200ok directly.
Java environment builder with support for Maven builds. Default build comman runs `mvn clean package` and picks up target/*with-dependencies.jar for function.
* Python Environment: add gevent based WSGI server framework
This supply gevent based WSGI server framework to Python Environment, to
allow customer to run their functions under multi-threads.
* classify the flask based application
This set up the flask based application as individual class, to make
sure the consistent and integrity.
* Add instruction of WSGI server selection applied in Python Environment
* Python Environment starting logger: provide framework name
For certain environments, the archive should not be extracted and kept as it is (For ex. for Java the jar file should not be extracted). This change enables an environment level flag to control this behaviour.
This the very first step for fission to integrate with Istio, which is an open platform to connect, manage, and secure microservices. With Istio, users are able to monitor functions usage and trace requests latency through dashboards. For more information, please visit http://fission.io/docs/
This commit solves part of the issue #52 , functions are able to access secrets/configmaps specified by the user. For now, CLI only accept one secret/configmap. For advanced users, it will be able to use YAML to declare multiple secrets/configmaps in later changes.
A newdeploy backend which uses new deployment to serve requests. This is the second phase of #193 and builds on top of changes in #384 .
* Executor layer added on top of pool manager
* Removed the external server for executor
* Minor changes to keep existing semantics as much possible
* Separating the executor vs. poolmgr backend functionality and associated data members
* Executor logic separated from Poolmgr backend completely, placeholder for new backend
* Changed references to poolmgr in tests
* Moved poolmgr to it's package, as a side effect moved Cache to its's package (was causing cyclical dependency) and had to make some data structures exposed outside package
* Rebased from master and changed references to tpr -> crd
* Executor layer added on top of pool manager
* Executor logic separated from Poolmgr backend completely, placeholder for new backend
* Changed podName to a generic objectReference in fscache (#391)
Changed podName to a generic objectReference in function service cache implementation.
* Moved poolmgr to it's package, as a side effect moved Cache to its's package (was causing cyclical dependency) and had to make some data structures exposed outside package
* Rebased from master and changed references to tpr -> crd
* Merged from master with latest changes
* Executor layer added on top of pool manager
* Removed the external server for executor
* Minor changes to keep existing semantics as much possible
* Separating the executor vs. poolmgr backend functionality and associated data members
* Executor logic separated from Poolmgr backend completely, placeholder for new backend
* Changed references to poolmgr in tests
* update compiling.md to use helm
* Compile instructions: changed pullPolicy to IfNotPresent (#378)
Containers will get stuck in ErrImagePull/ImagePullBackOff state otherwise
* Moved poolmgr to it's package, as a side effect moved Cache to its's package (was causing cyclical dependency) and had to make some data structures exposed outside package
* Fetcher called when pod is created for newDeploy backend but also supports older way, this is WIP and still needs pod specialization and creating & exposing a service so the URL can be hit by end user
* WIP Specializing the POD as part of startup along with fetching
* Working specialization of a new deployment. Needs some work on caching, cleanup etc.
* Switched to service based address instead of POD address
* Minor formating issue fixed
* Added logging to pods and a readiness check, the readiness check is flaky though ATM
* Fixed some rebase issues that were failing build
* Better names for K8S objects and methods
* Switched usage of FuncSvc in backends from pod to api.ObjectReference
* Adding retry to fetcher request, for now just using default retry client which might need tweaking in future
* Switching to plain old retry, some issue in getting retryablehttp with glide import
* Removed stale executor service & deployment from previous merge
* Addressed review comments, still testing some areas
* Added types in FunctionSpec
* Resolved conflicts due to merge from executor_abstraction branch
* Added backend type on EnvironmentSpec along with operations for create/list/update, the pools are created/destroyed based on change in backend type
* Backend from types and a minor err return issue fixed
* Draft version of CPU and memory parameters added to environment
* Added resourceReq to newDeploy, though it has some issues
* Issue with resourceName fixed, now newdeploy pods also pick up resources from the environment config
* Adding scale params, removing validation on CPU params for now
* Fixed a formatting issue
* Checking if slight more delay helps in the test which is currently failing for internal routes
* The resourceList newly added in Env can not be compared by compiler, hence must use breakdown comparison instead
* Added strategy selection on client side
* Added caching, informers, delete operations for newdeploy backend functions
* Deleted a stale directory
* A simple HPA based on scale parameters, testing still WIP
* Fixed a small issue in delete function, added HPA delete too when deleting a function
* Previous merge missed the pkg flag for update fn command somehow, fixed that
* Fixed comments from review
* Changed poolmgr cleanup to be generic cleanup and moved to executor, added instanceID labels to newdeploy so that cleanup works
* Moved instanceIdLabel to types to avoid cyclic dependency
* More review fixes
* Tweaking sleep to see results
* If user does not provide poolsize, then it should not default to zero
* Switched to naming convention for now, fixed default poolsize if not provided
* Changed error return behaviour in delete fn, also changed cleanup to look based on obj type though support for additional type will need more work
* Changed check location so avoid false logging
* Test for newdeploy backend
* Adding tests for poolmgr backend
* Fixed an issue with glide dependency version, already fixed in master
* Added instanceId for NewDeploy, Initial cleanup now cleans older objects of newdeploy backend, removed eagercreate flag and instead using minScale to drive eager creation
* Moved cleanup to executor layer with cleanup for newDeploy backend, changes to use the new Cache impl
* Cleaning up pod & rs along with deployment for newdeploy backend
* Enhanced fn and env listing to show min/maxscale and resuorces respectively
* Added conditional heapster deployment and fixed a small issue with resources for fetcher container in function pod
* Addressed review comments from previous change
* Addressed some more review comments - majorly create only on NotFoundError
* Added TargetCPU as an input for scaling
* Bumped target CPU to be greater than 0 and added a default value
* Min replicas should be 1 even if the minScale is 0 when creating deployment
* Changed name from 'backend' to executorType, added additional test for minscale 0 case, changed TargetCPU to TargetCPUPercent
* Add readiness probe
* Remove builder manager http api interface since we don’t use/need it
* Check environment builder status and block build requests until builder is ready
* Replace deprecated api extension interface
* Add healthy check to python env
