GCP
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Google Cloud Platform (GCP) focuses on Google-specific “as a service” offerings primarily in the ML/AI space. One of its key services is Spanner; a geo-distributed SQL database that relies on atomic clocks for its transactional guarantees. Like AWS and Azure, it also offers the typical compute, storage, and networking, software-defined services but it focuses more on Kubernetes and Google App Engine for PaaS/FaaS workloads.
- 📁 Google Cloud Frameworks (1)
- 12 Factor App on GCP - Concrete application of 12 factor app principles in GCP. 🌐
- BigQuery - A petabyte-scale data warehouse by Google designed to ingest, store, analyse, and visualise data. BigQuery supports a standard SQL dialect that is ANSI-compliant. BigQuery (unlike Google BigTable) is ideal when there is the need to scan a large table including queries such as sums, averages, counts, groupings or even queries for creating machine learning models.
- BigQuery Omni - A multi-cloud (AWS, Azure, etc.) solution based on Google Anthos to access and analyse data using the BigQuery user interface. 🌐
- Bigtable - A managed, column-based database in the GCP ecosystem. It is wire-compatible with HBase. 🌐
- Certificate Authority Service - A solution to automate, and customize the deployment, management, and security of private certificate authorities (CA). 🌐
- DataProc - A platform to run open source data and analytics workloads (Apache Spark, Hadoop, etc.) in GCP. 🌐
- Document AI - A machine learning platform to analyse and get insights from documents. 🌐
- Gcloud Cheat Sheet - PDF document that contains the most used gcloud (the GCP’s command line utility) arguments. 🌐
- Hybrid and Multi-Cloud Network Topologies - Architectural patterns these topologies are best suited for, and best practices for implementing them by using Google Cloud. 🌐
- Persistent Disk - Google’s block storage include a range of options, from low-lost HDD-based storage, to high-performance SDD-based one. 🌐
- Top > Backing Services > Basic Storage > SAN
- Stackdriver Trace - Stackdriver Trace analyzes applications’ traces to generate latency reports to surface performance degradations. It can capture traces from all of your VMs, containers, or App Engine projects. 🌐
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