google cloud platform tutorial

/Tag: google cloud platform tutorial

Google BigQuery vs BigTable

2021-03-09T07:38:51+00:00

BigQuery BigTable BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real-time. You can use bq command-line tool or Google Cloud Console to interact with BigTable. You can access BigQuery by using the Cloud Console, by using the bq command-line tool, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python. A dataset is contained within a specific project. Datasets are top-level containers that are used to organize and control access to your tables [...]

Google BigQuery vs BigTable2021-03-09T07:38:51+00:00

Google Cloud Functions vs App Engine vs Cloud Run vs GKE

2021-03-09T07:38:33+00:00

Serverless compute platforms like Cloud Functions, App Engine, and Cloud Run lets you build, develop, and deploy applications while simplifying the developer experience by eliminating all infrastructure management. On the other hand, Google Kubernetes Engine (GKE) runs Certified Kubernetes that helps you facilitate the orchestration of containers via declarative configuration and automation. Both Google serverless platforms and GKE allows you to scale your application based on your infrastructure requirement. Here’s a table to help you identify when to use these specific services. Cloud Functions App Engine Cloud Functions is a fully managed, serverless platform for creating stand-alone functions that respond [...]

Google Cloud Functions vs App Engine vs Cloud Run vs GKE2021-03-09T07:38:33+00:00

Google Cloud Storage vs Persistent Disks vs Local SSD vs Cloud Filestore

2021-03-09T23:46:32+00:00

Google Cloud Storage Persistent Disks Local SSD Cloud Filestore Cloud Storage is a service for storing your objects in Google Cloud. An object is an immutable piece of data consisting of a file of any format. You store objects in containers called buckets. You specify a location for storing your object data when you create a bucket. You can either select region, dual-region, and multi-region as location. Objects stored in a multi-region or dual-region are geo-redundant. Cloud Storage offers different storage classes for various storage requirements: Standard, Nearline, Coldline, and Archive. GCS offers unlimited storage with no minimum object size. [...]

Google Cloud Storage vs Persistent Disks vs Local SSD vs Cloud Filestore2021-03-09T23:46:32+00:00

Google Compute Engine vs App Engine

2021-03-09T07:36:55+00:00

Google Compute Engine Google App Engine Compute Engine delivers configurable virtual machines running in Google's data centers with access to high-performance networking infrastructure and block storage solutions. App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. Delivered as Infrastructure-as-a-Service (IaaS) Delivered as Platform-as-a-Service (PaaS) Supported Languages: Any Supported Languages: Go, Python, Java, Node.js, PHP, Ruby (.Net and Custom runtimes for Flexible Environment) A machine type is a set of virtualized hardware resources available to a virtual machine (VM) instance, including the system memory size, virtual CPU (vCPU) count, and persistent disk limits. In [...]

Google Compute Engine vs App Engine2021-03-09T07:36:55+00:00

Google Cloud Build

2021-02-25T05:57:44+00:00

Build, test, and deploy on Google Cloud Platform’s serverless CI/CD platform. Features Cloud build is a fully serverless platform that helps you build your custom development workflows for building, testing, and deploying. Cloud Build can import source code from: Cloud Storage Cloud Source Repositories GitHub Bitbucket Supports Native Docker. You can import your existing Docker file. Push images directly to Docker image storage repositories such as Docker Hub and Container Registry. You can also automate deployments to Google Kubernetes Engine (GKE) or Cloud Run for continuous delivery. Automatically performs package vulnerability scanning for vulnerable images based on policies set by [...]

Google Cloud Build2021-02-25T05:57:44+00:00

Google Container Registry

2021-02-27T03:48:32+00:00

Container Registry is a container image repository to manage Docker images, perform vulnerability analysis, and define fine-grained access control. Features Automatically build and push images to a private registry when you commit code to Cloud Source Repositories, GitHub, or Bitbucket. You can push and pull Docker images to your private Container Registry utilizing the standard Docker command-line interface. The system creates a Cloud Storage bucket to store all of your images the first time you push an image to Container Registry You have the ability to maintain control over who can access, view, or download images. Pricing Container Registry charges [...]

Google Container Registry2021-02-27T03:48:32+00:00

Google Cloud Source Repositories

2021-02-25T06:01:59+00:00

A fully managed git repository where you can securely manage your code. Features You will be able to extend your git workflow with Cloud Source Repositories. Set up a repository as a Git remote. Push, pull, clone, log, and perform other Git operations as required by your workflow. You can create multiple repositories for a single Google Cloud project. This allows you to organize the code associated with your cloud project in the best way. View repository files from within the Cloud Source Repositories using Source Browser. You can filter your view to focus on a specific branch, tag, or [...]

Google Cloud Source Repositories2021-02-25T06:01:59+00:00

Google Cloud Deployment Manager

2021-02-25T05:54:16+00:00

Google Cloud Deployment Manager is an infrastructure deployment service that automates the creation and management of Google Cloud resources. Features You can write template and configuration files and utilize them to create deployments that have a variety of Google Cloud services working together, such as: Cloud Storage Compute Engine Cloud SQL A configuration defines the structure of your deployment. You must specify a configuration on a YAML file to create a deployment. It contains the following: type and properties of the resources that are part of the deployment any templates the configuration should use additional subfiles that can be executed [...]

Google Cloud Deployment Manager2021-02-25T05:54:16+00:00

Google Cloud Monitoring

2022-04-12T04:07:23+00:00

Bookmarks Features Workspaces Cloud Monitoring Agent Pricing Validate Your Knowledge Cloud Monitoring collects metrics, events, and metadata, hosted uptime probes, and application instrumentation to gain visibility into the performance, availability, and health of your applications and infrastructure. Features Collect metrics from multicloud and hybrid infrastructure in real time. Metrics, events, and metadata are displayed with rich query language that helps identify issues and uncover significant patterns. Reduces time spent navigating between systems with one integrated service for metrics, uptime monitoring, dashboards, and alerts. Workspaces Cloud Monitoring utilizes workspaces to organize and manage [...]

Google Cloud Monitoring2022-04-12T04:07:23+00:00

Google Cloud Logging

2022-07-14T05:18:51+00:00

Bookmarks Features Cloud Audit Logs Exporting Audit Logs Pricing Validate Your Knowledge An exabyte-scale, fully managed service for real-time log management.  Helps you to securely store, search, analyze, and alert on all of your log data and events. Features Write any custom log, from any source, into Cloud Logging using the public write APIs. You can search, sort, and query logs through query statements, along with rich histogram visualizations, simple field explorers, and the ability to save the queries. Integrates with Cloud Monitoring to set alerts on the logs events and logs-based [...]

Google Cloud Logging2022-07-14T05:18:51+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!