Merge pull request GoogleCloudPlatform#1 from GoogleCloudPlatform/master

Merge pull request

.github/stale.yml

@@ -0,0 +1,28 @@
+# Configuration for probot-stale - https://github.com/probot/stale
+
+# Limit the number of actions per hour, from 1-30. Default is 30
+limitPerRun: 30
+
+# Limit to only `issues` or `pulls`
+only: pulls
+
+# Optionally, specify configuration settings that are specific to just 'issues' or 'pulls':
+pulls:
+  # Number of days of inactivity before an Issue or Pull Request becomes stale
+  daysUntilStale: 45
+  # Number of days of inactivity before an Issue or Pull Request with the stale label is closed.
+  # Set to false to disable. If disabled, issues still need to be closed manually, but will remain marked as stale.
+  daysUntilClose: 7
+  # Comment to post when marking as stale. Set to `false` to disable
+  markComment: >
+    This pull request has been automatically marked as stale because it has not had
+    recent activity. It will be closed if no further activity occurs. Thank you
+    for your contributions.
+  # Label to use when marking as stale
+  staleLabel: stale
+
+  # Pull Requests with these labels will never be considered stale. Set to `[]` to disable
+  exemptLabels:
+    - pinned
+    - security
+    - "[Status] Maybe Later"

CONTRIBUTING.md

@@ -1,3 +1,33 @@
-# Professional Services
-## Contributing
-The team is currently not accepting contributions.
+# Contributing
+
+Thanks for your interest in contributing to the Google Cloud Professional Services
+repo!
+
+To get started contributing:
+
+1. Sign a Contributor License Agreement (see details below).
+1. Fork the repo, develop and test your code changes.
+1. Ensure that your code adheres to the existing [style](https://google.github.io/styleguide).
+1. Ensure that your code has an appropriate set of unit tests which all pass.
+1. Ensure that your code has an accompanying README.md file with instructions on usage. See [awesome-readme](https://github.com/matiassingers/awesome-readme) for good examples of high-quality READMEs.
+1. Ensure that you've added a link to your contribution in the top-level [README](https://github.com/GoogleCloudPlatform/professional-services/blob/master/README.md) (alpha-order).
+1. Submit a pull request.
+
+## Contributor License Agreement
+
+Contributions to this project must be accompanied by a Contributor License
+Agreement. You (or your employer) retain the copyright to your contribution;
+this simply gives us permission to use and redistribute your contributions as
+part of the project. Head over to <https://cla.developers.google.com/> to see
+your current agreements on file or to sign a new one.
+
+You generally only need to submit a CLA once, so if you've already submitted one
+(even if it was for a different project), you probably don't need to do it
+again.
+
+## Code reviews
+
+All submissions, including submissions by project members, require review. We
+use GitHub pull requests for this purpose. Consult
+[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
+information on using pull requests.

LICENSE

@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright [yyyy] [name of copyright owner]
+   Copyright 2018 Google LLC
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.

README.md

@@ -1,21 +1,51 @@
 # Professional Services
-This respository is owned by Google's Professional Services team and is organized by service-areas.
+Common solutions and tools developed by Google Cloud's Professional Services team.
 
-## Service areas
- * [Application development](/application-development/README.md)
- * [Data analytics](/data-analytics/README.md)
- * [Infrastructure](/infrastructure/README.md)
- * [Machine learning](/machine-learning/README.md)
+## Examples
+The examples folder contains example solutions across a variety of Google Cloud Platform products. Use these solutions as a reference for your own or extend them to fit your particular use case.
+
+* [BigQuery Cross Project Slot Monitoring](examples/bigquery-cross-project-slot-monitoring) - Solution to help monitoring slot utilization across multiple projects, while breaking down allocation per project.
+* [Cloud Composer Examples](examples/cloud-composer-examples) - Examples of using Cloud Composer, GCP's managed Apache Airflow service.
+* [CloudML Bee Health Detection](examples/cloudml-bee-health-detection) - Detect if a bee is unhealthy based on an image of it and its subspecies.
+* [CloudML Energy Price Forecasting](examples/cloudml-energy-price-forecasting) - Predicting the future energy price based on historical price and weather.
+* [CloudML Fraud Detection](examples/cloudml-fraud-detection) - Fraud detection model for credit-cards transactions.
+* [CloudML Sentiment Analysis](examples/cloudml-sentiment-analysis) - Sentiment analysis for movie reviews using TensorFlow `RNNEstimator`.
+* [CloudML TensorFlow Profiling](examples/tensorflow-profiling-examples) - TensorFlow profiling examples for training models with CloudML
+* [Dataflow BigQuery Transpose Example](examples/dataflow-bigquery-transpose) - An example pipeline to transpose/pivot/rotate a BigQuery table.
+* [Dataflow Elasticsearch Indexer](examples/dataflow-elasticsearch-indexer) - An example pipeline that demonstrates the process of reading JSON documents from Cloud Pub/Sub, enhancing the document using metadata stored in Cloud Bigtable and indexing those documents into [Elasticsearch](https://www.elastic.co/).
+* [Dataflow Python Examples](examples/dataflow-python-examples) - Various ETL examples using the Dataflow Python SDK.
+* [Data Generator](examples/dataflow-data-generator) - Generate random data with a custom schema at scale for integration tests or demos.
+* [Dataflow Streaming Benchmark](examples/dataflow-streaming-benchmark) - Utility to publish randomized fake JSON messages to a Cloud Pub/Sub topic at a configured QPS.
+* [IoT Nirvana](examples/iot-nirvana) - An end-to-end Internet of Things architecture running on Google Cloud Platform.
+* [Pub/Sub Client Batching Example](examples/pubsub-publish-avro-example) - Batching in Pub/Sub's Java client API.
+* [QAOA](examples/qaoa) - Examples of parsing a max-SAT problem in a proprietary format.
+* [Spinnaker](examples/spinnaker) - Example pipelines for a Canary / Production deployment process.
+
+## Tools
+The tools folder contains ready-made utilities which can simpilfy Google Cloud Platform usage.
+
+* [CloudConnect](tools/cloudconnect) - A package that automates the setup of dual VPN tunnels between AWS and GCP.
+* [Cloudera Parcel GCS Connector](tools/cloudera-parcel-gcsconnector) - This script helps you create a Cloudera parcel that includes Google Cloud Storage connector. The parcel can be deployed on a Cloudera managed cluster.
+This script helps you create a Cloudera parcel that includes Google Cloud Storage connector. The parcel can be deployed on a Cloudera managed cluster.
+* [DNS Sync](tools/dns-sync) - Sync a Cloud DNS zone with GCE resources. Instances and load balancers are added to the cloud DNS zone as they start from compute_engine_activity log events sent from a pub/sub push subscription. Can sync multiple projects to a single Cloud DNS zone.
+* [GCE Quota Sync](tools/gce-quota-sync) - A tool that fetches resource quota usage from the GCE API and synchronizes it to Stackdriver as a custom metric, where it can be used to define automated alerts.
+* [GCP Architecture Visualizer](/tools/gcp-arch-viz) - A tool that takes CSV output from a Forseti Inventory scan and draws out a dynamic hierarchical tree diagram of org -> folders -> projects -> gcp_resources using the D3.js javascript library.
+* [GCS Bucket Mover](tools/gcs-bucket-mover) - A tool to move user's bucket, including objects, metadata, and ACL, from one project to another.
+* [GKE Billing Export](tools/gke-billing-export) - Google Kubernetes Engine fine grained billing export.
+* [GSuite Exporter](tools/gsuite-exporter/) - A Python package that automates syncing Admin SDK APIs activity reports to a GCP destination. The module takes entries from the chosen Admin SDK API, converts them into the appropriate format for the destination, and exports them to a destination (e.g: Stackdriver Logging).
+* [LabelMaker](tools/labelmaker) - A tool that reads key:value pairs from a json file and labels the running instance and all attached drives accordingly.
+* [Maven Archetype Dataflow](tools/maven-archetype-dataflow) - A maven archetype which bootstraps a Dataflow project with common plugins pre-configured to help maintain high code quality.
+* [Site Verification Group Sync](tools/site-verification-group-sync) - A tool to provision "verified owner" permissions (to create GCS buckets with custom dns) based on membership of a Google Group.
 
 ## Contributing
-The team is currently not accepting contributions.
+See the contributing [instructions](/CONTRIBUTING.md) to get started contributing.
 
 ## License
-See [LICENSE](/LICENSE)
+All solutions within this repository are provided under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) license. Please see the [LICENSE](/LICENSE) file for more detailed terms and conditions.
 
 ## Disclaimer
 This repository and its contents are not an official Google Product.
 
 ## Contact
 Questions, issues, and comments should be directed to
-[professional-services-oss@google.com](mailto:professional-services@google.com).
+[professional-services-oss@google.com](mailto:professional-services-oss@google.com).