#hcl #gcp #google_cloud #terraform

https://github.com/GoogleCloudPlatform/cloud-foundation-fabric

#typescript #aws #azure #cloud_cost_estimates #cost_estimation #cost_management #cost_optimization #finops #gcp #google #infrastructure_as_code #terraform #terraform_cost_estimation

https://github.com/infracost/vscode-infracost

#go #aws #azure #cis #cloud #cnapp #cspm #cwpp #devops #devsecops #fdw #gcp #golang #hacktoberfest #kubernetes #postgresql #postgresql_fdw #security #sql #steampipe #terraform

https://github.com/turbot/steampipe

#other #amazon #amazon_web_services #aws #azure #cloud #cloud_computing #cloudcomputing #cloudservices #gcp #google #google_cloud_platform #microsoft #microsoft_azure #microsoft_azure_cloud #roadmap #serverless

https://github.com/milanm/Cloud-Product-Mapping

#go #alicloud #aws #azure #cluster #controller #equinixmetal #extensibility #gardener #gcp #golang #hetzner #k8s #kubernetes #kubevirt #metalstack #onmetal #openstack #vsphere

https://github.com/gardener/gardener

#java #aws #azure #ctf #devsecops #docker #gcp #hashicorp_vault #keepass #kubernetes #secrets #secrets_management #security #terraform_aws #terraform_azure #terraform_gcp #vault #vulnerable_web_app

https://github.com/OWASP/wrongsecrets

#other #aws #azure #cloud #cloud_computing #cloud_providers #free_hosting #free_tier_offers #freebie #freebies #gcp #google_cloud #google_cloud_platform #hacktoberfest #ibm_cloud #oci #oracle #postgresql #serverless

https://github.com/cloudcommunity/Cloud-Free-Tier-Comparison

#go #gcp #gke #google_cloud #grpc #istio #kubernetes #kustomize #sample_application #samples #skaffold #terraform

The Online Boutique is a web-based e-commerce app where you can browse items, add them to your cart, and purchase them. It is built using multiple microservices in different languages and demonstrates how to use Google Cloud products like Google Kubernetes Engine (GKE), Cloud Service Mesh, and more. This app helps developers learn how to modernize enterprise applications using these tools. By using this demo, you can see how different services work together and how to deploy and manage them efficiently on a Kubernetes cluster, which makes it easier to build and maintain complex applications.

https://github.com/GoogleCloudPlatform/microservices-demo

#hcl #ansible #aws #devops #gcp #kubernetes #packer #serverless #sre #terraform

You can watch a new video on YouTube by clicking the link provided. If you need help or support, you can get mentorship, on-the-job support, or consulting by emailing me@antonputra.com. There are also playlists available, such as Performance Benchmarks, and you can find more lessons in the contents section. You can follow on various social media platforms like YouTube, LinkedIn, Twitter/X, Instagram, or contact directly via email. This helps you learn new things, get support when needed, and stay connected with valuable resources.

https://github.com/antonputra/tutorials

#java #ai #apache_kafka #aws #azure #cloud #cloud_first #cloud_native #ebs #gcp #kafka #llm #messaging #minio #s3 #serverless #spot #streaming

AutoMQ provides a cloud-native alternative to Apache Kafka that runs on S3 storage, cutting costs by up to 90% while enabling instant scaling and eliminating cross-zone traffic fees. It offers high reliability, serverless operation, and full Kafka compatibility, making it easier and cheaper to manage large-scale data streaming without sacrificing performance or features.

https://github.com/AutoMQ/automq

#go #aws #azure #cncf #cost #cost_optimization #finops #gcp #k8s #kubernetes #monitoring #opencost #prometheus

OpenCost is a free, open-source tool that helps you see and understand the costs of running Kubernetes clusters and cloud services in real time. It breaks down costs by cluster, node, namespace, pod, and more, across multiple cloud providers like AWS, Azure, and GCP, and even supports on-premises setups. This lets you track where your money is going, spot expensive resources, and manage your cloud spending better. It integrates with Prometheus for metrics and offers a user-friendly web interface and APIs for easy cost monitoring and exporting. Using OpenCost helps you control and optimize your cloud and Kubernetes expenses efficiently[1][2][3][4].

https://github.com/opencost/opencost

#python #alibabacloud #android #android_emulator #aws #azure #cloud #docker #docker_android #emulator #gcp #genymotion #jenkins #kubernetes #mobile_app #mobile_web #novnc #saltstack #selenium #selenium_grid #terraform

You can use Docker-Android to run Android emulators inside Docker containers, which helps you develop and test Android apps easily without needing physical devices. It offers many device profiles like Samsung Galaxy and Nexus models, supports viewing the emulator via VNC, sharing logs through a web interface, and controlling the emulator remotely with adb. It works on Ubuntu and can integrate with cloud services like Genymotion. This setup speeds up development, testing, and automation, making your workflow more consistent and efficient while saving resources. You can also persist data and run unit or UI tests with popular frameworks like Appium and Espresso. This helps you build and test Android apps faster and more reliably.

https://github.com/budtmo/docker-android

#typescript #actions #authentication #gcp #github_actions #google_cloud #google_cloud_platform #iam #identity #security

You can securely connect GitHub Actions to Google Cloud using the Google GitHub Action called `auth`. It supports two main ways: the recommended Workload Identity Federation (WIF), which uses short-lived tokens and avoids long-lived service account keys, and the older Service Account Key JSON method. WIF improves security by creating a trust link between your GitHub workflow and Google Cloud without exposing permanent credentials. To use it, you set up a Workload Identity Pool and Provider in Google Cloud, then configure your GitHub workflow to authenticate with these. This lets your workflows access Google Cloud resources safely and easily, reducing risks and simplifying credential management.

https://github.com/google-github-actions/auth

#python #agents #gcp #gemini #genai_agents #generative_ai #llmops #mlops #observability

You can quickly create and deploy AI agents using the Agent Starter Pack, a Python package with ready-made templates and full infrastructure on Google Cloud. It handles everything except your agent’s logic, including deployment, monitoring, security, and CI/CD pipelines. You can start a project in just one minute, customize agents for tasks like document search or real-time chat, and extend them as needed. This saves you time and effort by providing production-ready tools and integration with Google Cloud services, letting you focus on building smart AI agents without worrying about backend setup or deployment details.

https://github.com/GoogleCloudPlatform/agent-starter-pack