[GSoC Proposal] ScienceBox Monitoring, SWAN, CERN (HSF#694)

* [GSoC Proposal] ScienceBox Monitoring, SWAN, CERN

* ScienceBoxMonitor: Fix logo

* ScienceBoxMonitor: move proposal to _gsocproposals/2020

_gsocprojects/2020/project_SWAN.md

@@ -0,0 +1,11 @@
+---
+project: SWAN
+layout: default
+logo: SWAN-logo.png
+description: |
+  [SWAN](https://cern.ch/swan) (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a "software as a service" model. It is built upon the widely-used Jupyter notebooks, allowing users to write - and run - their data analysis using only a web browser. By connecting to SWAN, users have immediate access to storage, software and computing resources (like Spark clusters) that CERN provides, and that they need to do their analyses. 
+summary: |
+  SWAN is a CERN service that allows users to perform interactive data analysis in the cloud, built upon the widely-used Jupyter notebooks and CERN technologies for storage and software access.
+---
+
+{% include gsoc_project.ext %}

_gsocproposals/2020/proposal_ScienceBoxMonitor.md

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+---
+title: Health Checks and Monitoring Dashboard for ScienceBox
+project: SWAN
+layout: gsoc_proposal
+year: 2020
+organization: CERN
+---
+
+## Description
+
+[ScienceBox](https://sciencebox.web.cern.ch/) is a comprehensive set of services for cloud storage and computing applications suitable for both general-purpose use cases and advanced scientific scenarios.
+It provides [EOS](https://eos.web.cern.ch/), the CERN software for massive distributed storage in the cloud, [CERNBox](http://cernbox.web.cern.ch), the cloud storage, synchronization and sharing service for science, and [SWAN](https://swan.web.cern.ch), a fully-fledged interactive data analysis platform accessible from a web browser.
+ScienceBox is available in two flavors:
+1) A one-click setup for demonstration purposes running on a single machine with docker-compose, and
+2) A production-oriented deployment with the ability to scale out according to storage and computing needs based on Kubernetes.
+
+
+## Task ideas
+
+This project focuses on:
+  * Implementing health checks for ScienceBox services running in containers. This ranges from basic probing (e.g., check network sockets/running processes, issue HTTP requests) to the development of custom scripts for functional tests verifying the expected behavior of services.
+  * Managing application-level logs through sidecar containers running log parsing and ingestion agents (e.g., [Apache Flume](https://flume.apache.org/)). Ingested metrics should be collected on a centralized storage backend (e.g., [Elastic Search](https://www.elastic.co/products/elasticsearch) or [InfluxDB](https://www.influxdata.com/products/influxdb-overview/)).
+  * Exploring collected metrics interactively (e.g., via [Timber](https://timber.io/) or [Kibana] (https://www.elastic.co/products/kibana)) and creating visualization dashboards (e.g., time-series, heatmaps in [Grafana] (https://grafana.com/) for ScienceBox administrators
+  * Complementing the set of containers provided by ScienceBox with the ones requires for log ingestion, storage, and processing/visualization.
+
+It is encouraged to re-use widely adopted technologies as much as possible.
+
+
+## Expected results
+  * A working implementation of health-checks and sidecar containers for log ingestions.
+  * An updated version of ScienceBox with additional containers required to run dedicated services for log inspection and visualization.
+
+## Requirements
+  * Python, Shell scripting
+  * Basic understanding of file systems, HTTP protocol, and process monitoring
+  * Experience with Docker containers and Kubernetes
+  * Experience with Helm charts is a plus
+
+## Mentors
+  * [Enrico Bocchi](mailto:[email protected])
+  * [Diogo Castro](mailto:[email protected])
+
+## Links
+  * [SWAN](https://swan.web.cern.ch/)
+  * [ScienceBox](https://sciencebox.web.cern.ch/)

gsoc/2020/mentors.md

@@ -14,11 +14,13 @@ layout: plain
 * Riccardo Maria Bianchi [[email protected]](mailto:[email protected]) University of Pittsburgh
 * Jakob Blomer [[email protected]](mailto:[email protected]) CERN
 * Ken Bloom [[email protected]](mailto:[email protected]) University of Nebraska-Lincoln
+* Enrico Bocchi [[email protected]](mailto:[email protected]) CERN
 * Brian Bockelman [[email protected]](mailto:[email protected]) Morgridge Institute for Research
 * Andy Buckley [[email protected]](mailto:[email protected]) University of Glasgow
 * Jon Butterworth [[email protected]](mailto:[email protected]) UCL
 * Yvan Calas [[email protected]](mailto:[email protected]) CC-IN2P3
 * Philippe Canal [[email protected]](mailto:[email protected]) Fermilab
+* Diogo Castro [[email protected]](mailto:[email protected]) CERN
 * Vasco Chibante Barroso [[email protected]](mailto:[email protected]) CERN
 * Louie Corpe [[email protected]](mailto:[email protected]) UCL
 * Ulrik Egede [[email protected]](mailto:[email protected]) Monash University