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google cloud platform tutorial

/Tag: google cloud platform tutorial

Google Cloud CDN


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 CDN2021-02-25T05:31:38+00:00

Google Cloud Load Balancing


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 [...]

Google Cloud Load Balancing2022-07-14T08:19:54+00:00

Google Cloud DNS


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 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 [...]

Google Cloud DNS2021-02-25T05:29:20+00:00

Google Cloud Dataproc


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 [...]

Google Cloud Dataproc2021-02-25T05:48:07+00:00

Google Cloud Dataflow


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 [...]

Google Cloud Dataflow2021-02-27T03:06:04+00:00

Google Cloud Dataprep


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 [...]

Google Cloud Dataprep2021-02-25T05:45:22+00:00

Google BigQuery


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 [...]

Google BigQuery2021-11-03T22:50:44+00:00

Google Cloud Pub/Sub


Bookmarks Features Key Concepts Publisher-subscriber relationships Pricing Validate Your Knowledge Cloud Pub/Sub is a fully-managed real-time messaging service for event driven systems that allows you to send and receive messages between independent applications. Features Capable of global message routing to simplify multi-region systems. Synchronous, cross-zone message replication and per-message receipt tracking ensure at-least-once delivery at any scale. Pub/Sub delivers each message at least once, so the Pub/Sub service might redeliver messages. You can declare independent quota and billing for publishers and subscribers. Cloud Pub/Sub doesn’t have shards or partitions. You just need [...]

Google Cloud Pub/Sub2022-12-09T08:07:21+00:00

Google Cloud Bigtable


A fully managed NoSQL database service designed for large analytical and operational workloads and enables you to store terabytes or even petabytes of data. Features You can use Cloud BigTable to store and query time-series data. It is ideal for storing large amounts of single-keyed data. Scales seamlessly from thousands to millions of reads/writes per second. Resize your cluster nodes to adjust Cloud Bigtable throughput without restarting – all without downtime. Pricing When you use Cloud Bigtable, you are charged for the following: Type of Cloud Bigtable instance Total number of nodes in your instance's clusters Amount of storage that [...]

Google Cloud Bigtable2021-02-25T05:28:10+00:00

Google Cloud Filestore


Fully managed NFS file servers on Google Cloud for Compute Engine and Google Kubernetes Engine instances Most commonly used for media rendering, data analytics, and managing shared content. Features Simple, fast, consistent, scalable, and easy to use network-attached storage. You can copy data from Cloud Storage to a filestore fileshare that is mounted on a Compute Engine instance. Data is encrypted at rest and in transit with system-defined keys or customer-supplied keys. Filestore instances are zonal resources that feature in-zone storage redundancy only. It is tightly integrated with Google Kubernetes Engine (GKE) so containers can reference the same shared data. [...]

Google Cloud Filestore2021-02-25T05:21:47+00:00

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