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  2. Stackdriver - Wikipedia

    en.wikipedia.org/wiki/Stackdriver

    Stackdriver the company was created in 2012 by founders Dan Belcher and Izzy Azeri. [2] The company's goal was to provide consistent monitoring across cloud computing's multiple service layers, using a single SaaS solution.

  3. Google Cloud Dataflow - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Dataflow

    Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]

  4. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Cloud Key Management Service – Cloud-hosted key management service integrated with IAM and audit logging. Cloud Resource Manager – Service to manage resources by project, folder, and organization based on the hierarchy. Cloud Security Command Center – Security and data risk platform for data and services running in Google Cloud Platform.

  5. Apache Airflow - Wikipedia

    en.wikipedia.org/wiki/Apache_Airflow

    [3] [4] From the beginning, the project was made open source, becoming an Apache Incubator project in March 2016 and a top-level Apache Software Foundation project in January 2019. Airflow is written in Python, and workflows are created via Python scripts. Airflow is designed under the principle of "configuration as code".

  6. CloudBolt - Wikipedia

    en.wikipedia.org/wiki/CloudBolt

    CloudBolt is a hybrid cloud management platform developed by CloudBolt Software for deploying and managing virtual machines (VMs), applications, and other IT resources, both in public clouds (e.g., AWS, MS Azure, GCP) and in private data centers (e.g., VMware, OpenStack). [1]

  7. Apache Beam - Wikipedia

    en.wikipedia.org/wiki/Apache_Beam

    Apache Beam is an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream (continuous) processing. [2] Beam Pipelines are defined using one of the provided SDKs and executed in one of the Beam’s supported runners (distributed processing back-ends) including Apache Flink, Apache Samza, Apache Spark, and Google Cloud Dataflow.

  8. Logging as a service - Wikipedia

    en.wikipedia.org/wiki/Logging_as_a_service

    Logging as a service (LaaS) is an IT architectural model for centrally ingesting and collecting any type of log files coming from any given source or location such as servers, applications, devices etc. The files are "normalized" or filtered for reformatting and forwarding to other dependent systems to be processed as “native” data, which ...

  9. Google Cloud Storage - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Storage

    Google Cloud Storage is an online file storage web service for storing and accessing data on Google Cloud Platform infrastructure. [1] The service combines the performance and scalability of Google's cloud with advanced security and sharing capabilities. [2] It is an Infrastructure as a Service , comparable to Amazon S3.

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