Google Cloud Platform OpenJDK Docker image
An application to help with IP Address Management (IPAM) for Google Kubernetes Engine (GKE) clusters. Easily allows the calculation of the subnets required to spin up GKE clusters in VPC-native mode. See it at: https://googlecloudplatform.github.io/gke-ip-address-management/
Commons code used by the Data Catalog connectors, and links for the connectors sample code.
Demonstrates the use of Jenkins and Terraform to manage Infrastructure as Code using GitOps practices
This repository guides you through deploying a private GKE cluster and provides a base platform for hands-on exploration of several GKE related topics which leverage or integrate with that infrastructure. After completing the exercises in all topic areas, you will have a deeper understanding of several core components of GKE and GCP as configured in an enterprise environment.
This project describes the steps required to deploy a sample application to Kubernetes Engine that forwards log events to Stackdriver Logging. As a part of the exercise, you will create a Cloud Storage bucket and a BigQuery dataset for exporting log data.
Creates a Managed Instance Group with a loadbalancer
Google Cloud Platform Jetty Docker image
Video Clip Analytics By Using Dataflow and Video AI For Object Tracking
The Prometheus monitoring system and time series database. GCP fork to export to Google Cloud Managed Service for Prometheus. Main branch is kept at parity with upstream - see branches or tags for Google's additions.
GKE CIS 1.1.0 Benchmark InSpec Profile
A set of tutorials for Knative Build
A serverless bot which periodically checks configured BigQuery capacity commitments, reservations and assignments against actual slot consumption of running jobs and reports findings to Slack/Google Chat.
Sample code with integration between Data Catalog and Hive data source.
This project demonstrates how a third party solution, like Datadog, can be used to monitor a Kubernetes Engine cluster and its workloads. Using the provided manifest, you will install Datadog and a simple nginx workload into your cluster. The Datadog agents will be configured to monitor the nginx workload, and ship metrics to your own Datadog account.
Historical metadata of your data warehouse is a treasure trove to discover not just insights about changing data patterns, but also quality and user behaviour. This solution creates Data Catalog Tags history in BigQuery since Data Catalog keeps only the latest version of metadata for fast searchability.
Terraform template for running Folding@home on Google Cloud Platform