Cloud Router is a fully distributed and managed Google Cloud service that helps you define custom dynamic routes and scales with your network traffic. Features It works with both legacy networks and Virtual Private Cloud (VPC) networks. Cloud Router utilizes Border Gateway Protocol (BGP) to exchange routes between your Virtual Private Cloud (VPC) network and your on-premises network. Using Cloud Router is required or recommended in the following cases: Required for Cloud NAT Required for Cloud Interconnect and HA VPN A recommended configuration option for Classic VPN When you extend your on-premises network to Google Cloud, use Cloud Router to [...]
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Bookmarks Cloud Interconnect Direct Peering Cloud VPN Validate Your Knowledge There are several ways to extend your on-premises environment to the Google Cloud Platform. You can connect your infrastructure to Google Cloud Platform (GCP) on your terms, from anywhere based on your requirements. Cloud Interconnect Provides low latency, highly available connections that enable you to reliably transfer data between your on-premises and Google Cloud VPCs. Cloud Interconnect connections provide internal IP address communication, which means internal IP addresses are directly accessible from both networks. Cloud Interconnect offers two options to extend your on-premises [...]
Bookmarks Key Concepts Network and Subnets Configuring IP Addresses Firewall Rules Routes Communications and access for APP Engine Connecting VPC Networks Pricing Validate Your Knowledge You can create and manage your own virtual topology network where you can launch your Google Cloud resources using Google Virtual Private Cloud (VPC). Google VPC is the networking layer of Google Cloud resources. A VPC spans all the zones in the region. After creating a VPC, you can add one or more subnets in each zone. Key Concepts A virtual private cloud (VPC) allows [...]
The Google Cloud CDN (content delivery network) service accelerates your web content delivery by using Google’s global edge network to bring content as close to the user as possible. It helps you reduce latency, cost, and load for your backend services. Features Activates with a single click for Cloud Load Balancing users. Cloud CDN supports modern protocols originally developed at Google, like HTTP/2 and QUIC. Integrates with Cloud Monitoring and Cloud Logging by providing latency metrics and raw HTTP request logs for deeper and better visibility. Logs can be exported to Cloud Storage or BigQuery for analysis. Cloud CDN content [...]
Google Cloud Load Balancing allows you to put your resources behind a single IP address. Features Can be set to be available externally or internally with your Virtual Private Network (VPC). HTTP(S) load balancing can balance HTTP and HTTPS traffic across multiple backend instances, across multiple regions. Enable Cloud CDN for HTTP(S) load balancing to optimize application delivery for your users with a single checkbox. You can define the autoscaling policy and the autoscaler performs automatic scaling based on the measured load. No pre-warming required — go from zero to full throttle in seconds. Manage SSL certificates and decryption. Types [...]
Cloud DNS is Google’s infrastructure for production quality and high-volume authoritative DNS serving. Features Authoritative DNS Lookup Cloud DNS translates requests for domain names like www.google.com into IP addresses like 188.8.131.52. Manage your DNS records for your domain using Google Cloud Console. Create managed zones for your project so you can add, edit, and delete DNS records. You can control permissions at a project level and monitor your changes as they propagate to DNS name servers. Can perform DNS Forwarding for hybrid architecture. You can create Private DNS zones that provide an easy-to-manage internal DNS solution for your private Google Cloud networks [...]
Build fully managed Apache Spark, Apache Hadoop, Presto, and other OSS clusters on the Google Cloud Platform using Cloud Dataproc. Features You can spin up resizable clusters quickly with various virtual machine types, disk sizes, number of nodes, and networking options on Cloud Dataproc. Dataproc provides autoscaling features to help you automatically manage the addition and removal of cluster workers. Cloud Dataproc has built-in integration with the following Google Cloud services for a more complete and robust platform. Cloud Storage BigQuery Cloud Bigtable Cloud Logging Cloud Monitoring AI Hub It is capable of image versioning. This will allow you to [...]
Cloud Dataflow is a fully managed data processing service for executing a wide variety of data processing patterns. Features Dataflow templates allow you to easily share your pipelines with team members and across your organization. You can also take advantage of Google-provided templates to implement useful but simple data processing tasks. Autoscaling lets the Dataflow automatically choose the appropriate number of worker instances required to run your job. You can build a batch or streaming pipeline protected with customer-managed encryption key (CMEK) or access CMEK-protected data in sources and sinks. Dataflow is integrated with VPC Service Controls to provide additional [...]
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning. Features You can transform structured or unstructured datasets of any size — megabytes to petabytes — with equal ease and simplicity. Cloud Dataproc can transform datasets stored in CSV, JSON, or relational table formats. You can process data stored in Cloud Storage, BigQuery, or from your desktop, then export the refined data to BigQuery or Cloud Storage for storage, analysis, visualization, or machine learning. Uses a proprietary algorithm that interprets the data transformation intent of [...]
Bookmarks Features Loading data into BigQuery Querying from external data sources Monitoring Pricing Validate Your Knowledge Google Cloud BigQuery A fully managed data warehouse where you can feed petabyte-scale data sets and run SQL-like queries. Features Cloud BigQuery is a serverless data warehousing technology. It provides integration with the Apache big data ecosystem allowing Hadoop/Spark and Beam workloads to read or write data directly from BigQuery using Storage API. BigQuery supports a standard SQL dialect that is ANSI:2011 compliant, which reduces the need for code rewrites. Automatically replicates data and keeps [...]