ºÝºÝߣshows by User: adeeshfulay / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: adeeshfulay / Mon, 02 Oct 2017 01:56:49 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: adeeshfulay Docker 101 for Oracle DBAs - Oracle OpenWorld 2017 /slideshow/docker-101-for-oracle-dbas-oracle-openworld-2017/80346384 fulayoow2017docker101-171002015649
SUN5617- Docker 101 for Oracle DBAs Linux Container (not to be confused with Oracle Container Cloud Service), like Docker and LxC, is a next-generation virtualization technology. Imagine having all the benefits of a hypervisor-based virtual machine but with no performance overhead. It’s this combination that makes containers ideal for databases, especially when running on bare metal. While the adoption of containers has been steadily increasing for many applications and databases, the Oracle community at large has been fairly sluggish. In this session bring your laptop along and practice basic docker commands. ]]>
SUN5617- Docker 101 for Oracle DBAs Linux Container (not to be confused with Oracle Container Cloud Service), like Docker and LxC, is a next-generation virtualization technology. Imagine having all the benefits of a hypervisor-based virtual machine but with no performance overhead. It’s this combination that makes containers ideal for databases, especially when running on bare metal. While the adoption of containers has been steadily increasing for many applications and databases, the Oracle community at large has been fairly sluggish. In this session bring your laptop along and practice basic docker commands. ]]> Mon, 02 Oct 2017 01:56:49 GMT /slideshow/docker-101-for-oracle-dbas-oracle-openworld-2017/80346384 adeeshfulay@slideshare.net(adeeshfulay) Docker 101 for Oracle DBAs - Oracle OpenWorld 2017 adeeshfulay SUN5617- Docker 101 for Oracle DBAs Linux Container (not to be confused with Oracle Container Cloud Service), like Docker and LxC, is a next-generation virtualization technology. Imagine having all the benefits of a hypervisor-based virtual machine but with no performance overhead. It’s this combination that makes containers ideal for databases, especially when running on bare metal. While the adoption of containers has been steadily increasing for many applications and databases, the Oracle community at large has been fairly sluggish. In this session bring your laptop along and practice basic docker commands. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fulayoow2017docker101-171002015649-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> SUN5617- Docker 101 for Oracle DBAs Linux Container (not to be confused with Oracle Container Cloud Service), like Docker and LxC, is a next-generation virtualization technology. Imagine having all the benefits of a hypervisor-based virtual machine but with no performance overhead. It’s this combination that makes containers ideal for databases, especially when running on bare metal. While the adoption of containers has been steadily increasing for many applications and databases, the Oracle community at large has been fairly sluggish. In this session bring your laptop along and practice basic docker commands.
Docker 101 for Oracle DBAs - Oracle OpenWorld 2017 from Adeesh Fulay
]]> 619 2 https://cdn.slidesharecdn.com/ss_thumbnails/fulayoow2017docker101-171002015649-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data Pipeline with Docker on AWS /slideshow/data-pipeline-with-docker-on-aws/79137125 datapipelineondockermeetup-170824224214
We at Robin Systems help customers deploy data pipelines both on-premises and on the cloud. In this session, we will walk through different examples of data pipelines designed to cater to different data sets and use cases like Twitter feeds, IoT sensor data, recommendations, etc and their deployment using Docker containers. We will also discuss different considerations to simplify management of the data pipeline in terms of performance, availability, recoverability, scaling, etc Event: Santa Clara Docker Meetup]]>
We at Robin Systems help customers deploy data pipelines both on-premises and on the cloud. In this session, we will walk through different examples of data pipelines designed to cater to different data sets and use cases like Twitter feeds, IoT sensor data, recommendations, etc and their deployment using Docker containers. We will also discuss different considerations to simplify management of the data pipeline in terms of performance, availability, recoverability, scaling, etc Event: Santa Clara Docker Meetup]]> Thu, 24 Aug 2017 22:42:14 GMT /slideshow/data-pipeline-with-docker-on-aws/79137125 adeeshfulay@slideshare.net(adeeshfulay) Data Pipeline with Docker on AWS adeeshfulay We at Robin Systems help customers deploy data pipelines both on-premises and on the cloud. In this session, we will walk through different examples of data pipelines designed to cater to different data sets and use cases like Twitter feeds, IoT sensor data, recommendations, etc and their deployment using Docker containers. We will also discuss different considerations to simplify management of the data pipeline in terms of performance, availability, recoverability, scaling, etc Event: Santa Clara Docker Meetup <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datapipelineondockermeetup-170824224214-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We at Robin Systems help customers deploy data pipelines both on-premises and on the cloud. In this session, we will walk through different examples of data pipelines designed to cater to different data sets and use cases like Twitter feeds, IoT sensor data, recommendations, etc and their deployment using Docker containers. We will also discuss different considerations to simplify management of the data pipeline in terms of performance, availability, recoverability, scaling, etc Event: Santa Clara Docker Meetup
Data Pipeline with Docker on AWS from Adeesh Fulay
]]> 1237 2 https://cdn.slidesharecdn.com/ss_thumbnails/datapipelineondockermeetup-170824224214-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Database Containerization Platform Checklist /adeeshfulay/database-containerization-platform-checklist dockersanjose-dbcontainerizationchecklist-161027221819
Containers are lightweight, fast, agile, and solve all dependency issues related to the applications. With such benefits, why aren’t we using containers for stateful apps like databases? Unfortunately, most container platforms treat stateful apps just like stateless, often focusing just on initial provisioning, scale, or failover. To use the cattle vs pets analogy, stateful apps like databases are pets and not cattle. This means losing an instance of a database can lead to data loss, scaling them is not simple, and restoring does not imply simply bringing up another instance on a different host. In this session, we will review the current state of container support for databases and discuss key aspects of database management like consolidation, data management, node failures, scaling out/back and scaling up/down, etc that container platforms need to address. ]]>
Containers are lightweight, fast, agile, and solve all dependency issues related to the applications. With such benefits, why aren’t we using containers for stateful apps like databases? Unfortunately, most container platforms treat stateful apps just like stateless, often focusing just on initial provisioning, scale, or failover. To use the cattle vs pets analogy, stateful apps like databases are pets and not cattle. This means losing an instance of a database can lead to data loss, scaling them is not simple, and restoring does not imply simply bringing up another instance on a different host. In this session, we will review the current state of container support for databases and discuss key aspects of database management like consolidation, data management, node failures, scaling out/back and scaling up/down, etc that container platforms need to address. ]]> Thu, 27 Oct 2016 22:18:19 GMT /adeeshfulay/database-containerization-platform-checklist adeeshfulay@slideshare.net(adeeshfulay) Database Containerization Platform Checklist adeeshfulay Containers are lightweight, fast, agile, and solve all dependency issues related to the applications. With such benefits, why aren’t we using containers for stateful apps like databases? Unfortunately, most container platforms treat stateful apps just like stateless, often focusing just on initial provisioning, scale, or failover. To use the cattle vs pets analogy, stateful apps like databases are pets and not cattle. This means losing an instance of a database can lead to data loss, scaling them is not simple, and restoring does not imply simply bringing up another instance on a different host. In this session, we will review the current state of container support for databases and discuss key aspects of database management like consolidation, data management, node failures, scaling out/back and scaling up/down, etc that container platforms need to address. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dockersanjose-dbcontainerizationchecklist-161027221819-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Containers are lightweight, fast, agile, and solve all dependency issues related to the applications. With such benefits, why aren’t we using containers for stateful apps like databases? Unfortunately, most container platforms treat stateful apps just like stateless, often focusing just on initial provisioning, scale, or failover. To use the cattle vs pets analogy, stateful apps like databases are pets and not cattle. This means losing an instance of a database can lead to data loss, scaling them is not simple, and restoring does not imply simply bringing up another instance on a different host. In this session, we will review the current state of container support for databases and discuss key aspects of database management like consolidation, data management, node failures, scaling out/back and scaling up/down, etc that container platforms need to address.
Database Containerization Platform Checklist from Adeesh Fulay
]]> 500 5 https://cdn.slidesharecdn.com/ss_thumbnails/dockersanjose-dbcontainerizationchecklist-161027221819-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-adeeshfulay-48x48.jpg?cb=1716872868 Specialties: Configuration and Change Management, Oracle Enterprise Manager, Software Provisioning, Cloud Computing, Oracle Database as a Service, Extensibility, Cloud APIs https://adeeshfulay.wordpress.com https://cdn.slidesharecdn.com/ss_thumbnails/fulayoow2017docker101-171002015649-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/docker-101-for-oracle-dbas-oracle-openworld-2017/80346384 Docker 101 for Oracle ... https://cdn.slidesharecdn.com/ss_thumbnails/datapipelineondockermeetup-170824224214-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-pipeline-with-docker-on-aws/79137125 Data Pipeline with Doc... https://cdn.slidesharecdn.com/ss_thumbnails/dockersanjose-dbcontainerizationchecklist-161027221819-thumbnail.jpg?width=320&height=320&fit=bounds adeeshfulay/database-containerization-platform-checklist Database Containerizat...