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GSOC: Varnish Cache support in Apache Traffic Control

Background
Apache Traffic Control is a Content Delivery Network (CDN) control plane for large scale content distribution.

Traffic Control currently requires Apache Traffic Server as the underlying cache. Help us expand the scope by integrating with the very popular Varnish Cache.

There are multiple aspects to this project:

  • Configuration Generation: Write software to build Varnish configuration files (VCL). This code will be implemented in our Traffic Ops and cache client side utilities, both written in Go.
  • Health Monitoring: Implement monitoring of the Varnish cache health and performance. This code will run both in the Traffic Monitor component and within Varnish. Traffic Monitor is written in Go and Varnish is written in C.
  • Testing: Adding automated tests for new code

Skills:

  • Proficiency in Go is required
  • A basic knowledge of HTTP and caching is preferred, but not required for this project.
Difficulty: Major
Potential mentors:
Eric Friedrich, mail: friede (at) apache.org
Project Devs, mail: dev (at) trafficcontrol.apache.org

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DolphinScheduler

Apache DolphinScheduler-Parameter coverage

Apache DolphinScheduler

Apache DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available out of the box.

Page:https://dolphinscheduler.apache.org
GitHub: https://github.com/apache/incubator-dolphinscheduler

Background:
Configuration parameter override

At present, our parameter configuration is mainly based on configuration files: you can refer to PropertiesUtils,

But usually important parameters will be injected through the form of Java runtime virtual machine parameters, so we need to support this way of parameter injection. At the same time, because different ways of parameter injection have different priorities, we need to achieve configuration coverage. There are two main situations at present, SystemProperties and LocalFile. The priority of SystemProperties should be the highest, followed by LocalFile (that is, our various configuration files, such as master.properties).

issue:
https://github.com/apache/incubator-dolphinscheduler/issues/5164

for example:
1: Configure master.max.cpuload.avg=-1 in master.prperties

2: Java runtime virtual machine parameters -Dmaster.max.cpuload.avg=1

3:PropertiesUtils.get("master.max.cpuload.avg") = 1

Task: realize configuration parameter coverage

Mentor: CalvinKirs kirs@apache.org

Difficulty: Major
Potential mentors:
Calvin Kirs, mail: kirs (at) apache.org
Project Devs, mail: dev (at) dolphinscheduler.apache.org

CloudStack

CloudStack GSoC 2021 - Clone a Virtual Machine (with all the data disks)

Hi there,

Here is the background of the proposed improvement in the CloudStack.

Currently, there is no straight way to clone / create a copy of the VM (with all the data disks) in CloudStack. Operator/Admin requires a series of steps/API cmds to be followed to achieve that in CloudStack, and also it takes considerable time (to wait and check each cmd response before proceeding to next step). Some hypervisors (Eg. VMware) already supports clone VM operation, and CloudStack can leverage that.

The support for this new functionality, can be integrated by introducing a new (admin-only) API to clone the VM, something like cloneVirtualMachine , which facilitates direct way to clone / create a copy of the VM (with all the data disks) can be . CloudStack internally performs all the required operations to create the copy of the VM (leverages the relevant hypervisor(s) operations if necessary), and returns the VM as response when success, otherwise throws the relevant error message.

This improvement will be a good addition to the VM operations supported in the CloudStack. It requires some virtualization/cloud domain knowledge & usage.

More details here: https://github.com/apache/cloudstack/issues/4818

Skills Required:

  • Java and Python
  • Vue.js (for UI integration)
     
Difficulty: Major
Potential mentors:
Suresh Kumar Anaparti, mail: sureshkumar.anaparti (at) apache.org
Project Devs, mail: dev (at) cloudstack.apache.org

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