Achieving Cost and Resource efficiency within OpenStack through Trove Database-As-A-Service (DBaaS)
Trove is an OpenStack DBaaS that allows organizations to leverage their OpenStack infrastructure in a cost-effective way to deploy solutions built upon traditional databases. Trove provides a unified solution for all database types and can provide cost and resource savings through reduced complexity. It allows rapid provisioning of database instances, standardized infrastructure, and self-service capabilities for database management. Trove is integrated with OpenStack and supports both relational and non-relational databases to provide a flexible database solution.
This presentation is for those of you who are interested in moving your on-prem SQL Server databases and servers to Azure virtual machines (VM’s) in the cloud so you can take advantage of all the benefits of being in the cloud. This is commonly referred to as a “lift and shift” as part of an Infrastructure-as-a-service (IaaS) solution. I will discuss the various Azure VM sizes and options, migration strategies, storage options, high availability (HA) and disaster recovery (DR) solutions, and best practices.
By upgrading from the legacy solution we tested to the new Intel processor-based Dell and VMware solution, you could do 18 times the work in the same amount of space. Imagine what that performance could mean to your business: Consolidate workloads from across your company, lower your power and cooling bills, and limit datacenter expansion in the future, all while maintaining a consistent user experience—the list of potential benefits is huge.
Try running DPACK, which can help you identify bottlenecks in your environment and inform you about your current performance needs. Then consider how the consolidation ratio we proved could be helpful for your company. The Intel processor-powered Dell PowerEdge R730 solution with VMware vSphere and Dell Storage SC4020, also powered by Intel, could be the right destination for your upgrade journey.
Oracle presentation from Gartner's Infrastructure, Operations & Data Centre Summit held in Sydney March 2010. Presentation delivered by Roland Slee, VP Database Product Management. Explains how customers can consolidate Oracle Database workloads onto a scale-out, industry-standard platform.
A brief audio summary of this presentation is available online here: http://audioboo.fm/boos/109000-oracle-s-roland-slee-summarises-his-gartner-datacentre-summit-presentation
The document discusses the rise of Big Data as a Service (BDaaS) and how recent technological advancements have enabled its emergence. It provides a brief history of Hadoop and how improvements in networking, storage, virtualization and containers have addressed earlier limitations. It defines BDaaS and describes the public cloud and on-premises deployment models. Finally, it highlights how BlueData's software platform can deliver an integrated BDaaS solution both on-premises and across multiple public clouds including AWS.
HA/DR options with SQL Server in Azure and hybridJames Serra
What are all the high availability (HA) and disaster recovery (DR) options for SQL Server in a Azure VM (IaaS)? Which of these options can be used in a hybrid combination (Azure VM and on-prem)? I will cover features such as AlwaysOn AG, Failover cluster, Azure SQL Data Sync, Log Shipping, SQL Server data files in Azure, Mirroring, Azure Site Recovery, and Azure Backup.
This document summarizes a presentation about deploying Big Data as a Service (BDaaS) in the enterprise. It discusses how BDaaS can address conflicting needs of data scientists wanting flexibility and IT wanting control. It defines different types of BDaaS and requirements for enterprise deployment such as multi-tenancy, security, and application support. The presentation covers design decisions for BDaaS including running Hadoop/Spark unmodified using containers for isolation. It provides details on the implementation including network architecture, storage, and image management. It also discusses performance testing results and demos the BDaaS platform.
This white paper describes the EMC Cloud Tiering Appliance (CTA). The CTA enables NAS data tiering, allowing administrators to move inactive data from high-performance storage to less-expensive archival storage, thus enabling cost-effective use of file storage. The CTA also facilitates data migration which moves data to new shares or exports.
What is Trove, the Database as a Service on OpenStack?OpenStack_Online
Trove was integrated into the IceHouse release of OpenStack to provision and manage databases in an OpenStack Cloud. With Trove developers can spin up a database instance on-demand in an instant.
Please sign up for upcoming OpenStack Online Meetups: http://www.meetup.com/OpenStack-Online-Meetup/
This presentation is for those of you who are interested in moving your on-prem SQL Server databases and servers to Azure virtual machines (VM’s) in the cloud so you can take advantage of all the benefits of being in the cloud. This is commonly referred to as a “lift and shift” as part of an Infrastructure-as-a-service (IaaS) solution. I will discuss the various Azure VM sizes and options, migration strategies, storage options, high availability (HA) and disaster recovery (DR) solutions, and best practices.
By upgrading from the legacy solution we tested to the new Intel processor-based Dell and VMware solution, you could do 18 times the work in the same amount of space. Imagine what that performance could mean to your business: Consolidate workloads from across your company, lower your power and cooling bills, and limit datacenter expansion in the future, all while maintaining a consistent user experience—the list of potential benefits is huge.
Try running DPACK, which can help you identify bottlenecks in your environment and inform you about your current performance needs. Then consider how the consolidation ratio we proved could be helpful for your company. The Intel processor-powered Dell PowerEdge R730 solution with VMware vSphere and Dell Storage SC4020, also powered by Intel, could be the right destination for your upgrade journey.
Oracle presentation from Gartner's Infrastructure, Operations & Data Centre Summit held in Sydney March 2010. Presentation delivered by Roland Slee, VP Database Product Management. Explains how customers can consolidate Oracle Database workloads onto a scale-out, industry-standard platform.
A brief audio summary of this presentation is available online here: http://audioboo.fm/boos/109000-oracle-s-roland-slee-summarises-his-gartner-datacentre-summit-presentation
The document discusses the rise of Big Data as a Service (BDaaS) and how recent technological advancements have enabled its emergence. It provides a brief history of Hadoop and how improvements in networking, storage, virtualization and containers have addressed earlier limitations. It defines BDaaS and describes the public cloud and on-premises deployment models. Finally, it highlights how BlueData's software platform can deliver an integrated BDaaS solution both on-premises and across multiple public clouds including AWS.
HA/DR options with SQL Server in Azure and hybridJames Serra
What are all the high availability (HA) and disaster recovery (DR) options for SQL Server in a Azure VM (IaaS)? Which of these options can be used in a hybrid combination (Azure VM and on-prem)? I will cover features such as AlwaysOn AG, Failover cluster, Azure SQL Data Sync, Log Shipping, SQL Server data files in Azure, Mirroring, Azure Site Recovery, and Azure Backup.
This document summarizes a presentation about deploying Big Data as a Service (BDaaS) in the enterprise. It discusses how BDaaS can address conflicting needs of data scientists wanting flexibility and IT wanting control. It defines different types of BDaaS and requirements for enterprise deployment such as multi-tenancy, security, and application support. The presentation covers design decisions for BDaaS including running Hadoop/Spark unmodified using containers for isolation. It provides details on the implementation including network architecture, storage, and image management. It also discusses performance testing results and demos the BDaaS platform.
This white paper describes the EMC Cloud Tiering Appliance (CTA). The CTA enables NAS data tiering, allowing administrators to move inactive data from high-performance storage to less-expensive archival storage, thus enabling cost-effective use of file storage. The CTA also facilitates data migration which moves data to new shares or exports.
What is Trove, the Database as a Service on OpenStack?OpenStack_Online
Trove was integrated into the IceHouse release of OpenStack to provision and manage databases in an OpenStack Cloud. With Trove developers can spin up a database instance on-demand in an instant.
Please sign up for upcoming OpenStack Online Meetups: http://www.meetup.com/OpenStack-Online-Meetup/
Die 10 besten PostgreSQL-Replikationsstrategien für Ihr UnternehmenEDB
Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsansätzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich über die Möglichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich für Ihr System benötigen.
- Wie physische und logische Replikation in PostgreSQL funktionieren
- Unterschiede zwischen synchroner und asynchroner Replikation
- Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation
- Welche Replikationsstrategie für unterschiedliche Use-Cases besser geeignet ist
Referent:
Borys Neselovskyi, Regional Sales Engineer DACH, EDB
------------------------------------------------------------
For more #webinars, visit http://bit.ly/EDB-Webinars
Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers
Read our #Postgres Blog http://bit.ly/EDB-Blogs
Follow us on Facebook at http://bit.ly/EDB-FB
Follow us on Twitter at http://bit.ly/EDB-Twitter
Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn
Reach us via email at marketing@enterprisedb.com
The document summarizes Oracle's Big Data Appliance and solutions. It discusses the Big Data Appliance hardware which includes 18 servers with 48GB memory, 12 Intel cores, and 24TB storage per node. The software includes Oracle Linux, Apache Hadoop, Oracle NoSQL Database, Oracle Data Integrator, and Oracle Loader for Hadoop. Oracle Loader for Hadoop can be used to load data from Hadoop into Oracle Database in online or offline mode. The Big Data Appliance provides an optimized platform for storing and analyzing large amounts of data and is integrated with Oracle Exadata.
This document provides an overview of scalable SQL and NoSQL data stores designed for simple operations over many servers. It discusses key features of these systems like horizontal scaling, data replication, eventual consistency, and tradeoffs with ACID transactions. The document contrasts technologies like BigTable, Dynamo, and Memcached that pioneered scalability and inspired many NoSQL systems, and examines both SQL and NoSQL approaches to providing horizontal scalability without sacrificing too much consistency.
Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware requirements. Mostly, it is just matter of normalizing to the right degree and getting the indexes right. The major challenge in these systems is their extreme concurrency, which means that small temporary slowdowns can escalate to major issues very quickly.
In this presentation, Gwen Shapira will explain how application developers and DBAs can work together to built a scalable and stable OLTP system - using application queues, connection pools and strategic use of caches in different layers of the system.
Snowflake is an analytic data warehouse provided as software-as-a-service (SaaS). It uses a unique architecture designed for the cloud, with a shared-disk database and shared-nothing architecture. Snowflake's architecture consists of three layers - the database layer, query processing layer, and cloud services layer - which are deployed and managed entirely on cloud platforms like AWS and Azure. Snowflake offers different editions like Standard, Premier, Enterprise, and Enterprise for Sensitive Data that provide additional features, support, and security capabilities.
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
VMworld 2013
Michael Corey, Ntirety, Inc
Jeff Szastak, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
1) Enterprises struggle to manage big data with existing technologies due to more systems, complexity, and data to handle.
2) HPE proposes a new "Sparkitecture" called the HPE Elastic Platform for Analytics to address these issues. It uses a data-centric foundation to consolidate all data and applications on a single, elastic platform for analytics workloads.
3) The platform offers workload-optimized systems that provide better performance, scalability, and economics than traditional Hadoop architectures.
Oracle Systems Overview
Engineered systems strategy and overview about exadata, exalitics, superCluster, Exalogic, Oracle virtual appliance, ZFS appliance
Paper: Oracle RAC Internals - The Cache Fusion EditionMarkus Michalewicz
Accompanying paper to the presentation with the same name (see other slideshares). This paper explains some of the inner workings of Oracle RAC and the Oracle Cache Fusion technology, explaining how Oracle RAC can ensure horizontal scaling across up to the supported number of nodes in a cluster.
Hadoop and WANdisco: The Future of Big DataWANdisco Plc
View the webinar recording here... http://youtu.be/O1pgMMyoJg0
Who: WANdisco CEO, David Richards, and core creaters of Apache Hadoop, Dr. Konstantin Shvachko and Jagane Sundare.
What: WANdisco recently acquired AltoStor, a pioneering firm with deep expertise in the multi-billion dollar Big Data market.
New to the WANdisco team are the Hadoop core creaters, Dr. Konstantin Shvachko and Jagane Sundare. They will cover the the acquisition and reveal how WANdisco's active-active replication technology will change the game of Big Data for the enterprise in 2013.
Hadoop, a proven open source Big Data technolgoy, is the backbone of Yahoo, Facebook, Netflix, Amazon, Ebay and many of the world's largest databases.
When: Tuesday, December 11th at 10am PST (1pm EST).
Why: In this 30-minute webinar you’ll learn:
The staggering, cross-industry growth of Hadoop in the enterprise
How Hadoop's limitations, including HDFS's single-point of failure, are impacting the productivity of the enterprise
How WANdisco's active-active replication technology will alleviate these issues by adding high-availability to Hadoop, taking a fundamentally different approach to Big Data
View the webinar Q&A on the WANdisco blog here...http://blogs.wandisco.com/2012/12/14/answers-to-questions-from-the-webinar-of-dec-11-2012/
Microsoft released SQL Azure more than two years ago - that's enough time for testing (I hope!). So, are you ready to move your data to the Cloud? If you’re considering a business (i.e. a production environment) in the Cloud, you need to think about methods for backing up your data, a backup plan for your data and, eventually, restoring with Red Gate Cloud Services. In this session, you’ll see the differences, functionality, restrictions, and opportunities in SQL Azure and On-Premise SQL Server 2008/2008 R2/2012. We’ll consider topics such as how to be prepared for backup and restore, and which parts of a cloud environment are most important: keys, triggers, indexes, prices, security, service level agreements, etc.
This document discusses BRAC's transition to using OpenStack for its private cloud infrastructure. It provides an overview of cloud computing and OpenStack, including definitions, components, and architecture. It describes BRAC's transformation from physical servers to virtualization to OpenStack. BRAC chose OpenStack because it is open source, massively scalable, has a large community and developer base, and no licensing fees.
Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware requirements. Mostly, it is just matter of normalizing to the right degree and getting the indexes right. The major challenge in these systems is their extreme concurrency, which means that small temporary slowdowns can escalate to major issues very quickly.
In this presentation, Gwen Shapira will explain how application developers and DBAs can work together to built a scalable and stable OLTP system - using application queues, connection pools and strategic use of caches in different layers of the system.
The document discusses running Hadoop clusters in the cloud and the challenges that presents. It introduces CloudFarmer, a tool that allows defining roles for VMs and dynamically allocating VMs to roles. This allows building agile Hadoop clusters in the cloud that can adapt as needs change without static configurations. CloudFarmer provides a web UI to manage roles and hosts.
Presentación sobre la futura base de datos 18c, en la cual se incorpora todo lo mejor de las tecnologías Oracle, perfilando así una base de datos autónoma.
Hadoop is an open-source framework that allows distributed processing of large datasets across clusters of computers. It has two major components - the MapReduce programming model for processing large amounts of data in parallel, and the Hadoop Distributed File System (HDFS) for storing data across clusters of machines. Hadoop can scale from single servers to thousands of machines, with HDFS providing fault-tolerant storage and MapReduce enabling distributed computation and processing of data in parallel.
VMware PEX Boot Camp - The Future Now: NetApp Clustered Storage and Flash for...NetApp
Business drivers affect the performance expectations of enterprise applications. Data infrastructure must be flexible and agile to support these emerging performance and availability requirements. This session will show you how to build a data infrastructure using NetApp's flash and clustering technologies that is flexible enough to accommodate those changing demands. The session will cover how to combine NetApp's enterprise flash technology (including host-based flash, controller-based caching, hybrid disk shelves, and all-flash arrays) with NetApp's Clustered Data ONTAP to allow dynamic re-optimization of application performance, with an eye on how workload characteristics drive architectural decisions.
What is the Oracle PaaS Cloud for Developers (Oracle Cloud Day, The Netherlan...Lucas Jellema
The promise of the cloud is substantial. Oracle's public cloud promise goes beyond the generic promise. This presentation describes the promise of the Oracle Public Cloud specifically for developers. It describes the current state of the PaaS Platform, the actual and coming services and what they could mean to a developer. From same platform, different location (DBaaS, JCS) to cloud native stack (ICS, MCS) and services for Citizen Developers, the presentation touches upon virtually all services relevant to developers. The presentation concludes with first the steps enterprises can start taking to move to the cloud and second the steps individual developers could and perhaps should take in order to conquer the clouds.
NetApp and Microsoft offer solutions for building a private cloud using their integrated technologies. This allows organizations to [1] reduce IT costs by improving efficiency, [2] increase agility to respond faster to business needs, and [3] automate data management tasks for greater operational efficiency. Key components include NetApp storage, Microsoft System Center, and Windows Server Hyper-V, which provide capabilities like dynamic scalability, automated workflows, predictable multi-tenancy, and self-service provisioning when combined. Migrating to a private cloud is a multi-step process including standardizing, consolidating, automating management, and centralizing control.
The presentation was made at the first Serverless Pune meetup on 4th Feb 2017 https://www.meetup.com/Serverless-Pune
In the first Meetup, we covered most of the basics & a simple demos. Upcoming meetups will dive deeper into technical implementation and various real world use cases
Achieving Cost and Resource Efficiency through Docker, OpenShift and KubernetesDean Delamont
The document discusses how adopting containerization and microservices technologies like Docker, Kubernetes, and OpenShift can help organizations achieve cost savings, resource efficiency, reduced complexity, accelerated time to market, and greater portability when deploying solutions on OpenStack. Currently, deploying applications on OpenStack using virtual machines is costly due to high resource usage from large VM sizes, installed operating systems, overprovisioned resources, and maintaining active standby instances. The presentation explores how a container-based approach addresses these issues and improves business outcomes.
Die 10 besten PostgreSQL-Replikationsstrategien für Ihr UnternehmenEDB
Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsansätzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich über die Möglichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich für Ihr System benötigen.
- Wie physische und logische Replikation in PostgreSQL funktionieren
- Unterschiede zwischen synchroner und asynchroner Replikation
- Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation
- Welche Replikationsstrategie für unterschiedliche Use-Cases besser geeignet ist
Referent:
Borys Neselovskyi, Regional Sales Engineer DACH, EDB
------------------------------------------------------------
For more #webinars, visit http://bit.ly/EDB-Webinars
Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers
Read our #Postgres Blog http://bit.ly/EDB-Blogs
Follow us on Facebook at http://bit.ly/EDB-FB
Follow us on Twitter at http://bit.ly/EDB-Twitter
Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn
Reach us via email at marketing@enterprisedb.com
The document summarizes Oracle's Big Data Appliance and solutions. It discusses the Big Data Appliance hardware which includes 18 servers with 48GB memory, 12 Intel cores, and 24TB storage per node. The software includes Oracle Linux, Apache Hadoop, Oracle NoSQL Database, Oracle Data Integrator, and Oracle Loader for Hadoop. Oracle Loader for Hadoop can be used to load data from Hadoop into Oracle Database in online or offline mode. The Big Data Appliance provides an optimized platform for storing and analyzing large amounts of data and is integrated with Oracle Exadata.
This document provides an overview of scalable SQL and NoSQL data stores designed for simple operations over many servers. It discusses key features of these systems like horizontal scaling, data replication, eventual consistency, and tradeoffs with ACID transactions. The document contrasts technologies like BigTable, Dynamo, and Memcached that pioneered scalability and inspired many NoSQL systems, and examines both SQL and NoSQL approaches to providing horizontal scalability without sacrificing too much consistency.
Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware requirements. Mostly, it is just matter of normalizing to the right degree and getting the indexes right. The major challenge in these systems is their extreme concurrency, which means that small temporary slowdowns can escalate to major issues very quickly.
In this presentation, Gwen Shapira will explain how application developers and DBAs can work together to built a scalable and stable OLTP system - using application queues, connection pools and strategic use of caches in different layers of the system.
Snowflake is an analytic data warehouse provided as software-as-a-service (SaaS). It uses a unique architecture designed for the cloud, with a shared-disk database and shared-nothing architecture. Snowflake's architecture consists of three layers - the database layer, query processing layer, and cloud services layer - which are deployed and managed entirely on cloud platforms like AWS and Azure. Snowflake offers different editions like Standard, Premier, Enterprise, and Enterprise for Sensitive Data that provide additional features, support, and security capabilities.
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
VMworld 2013
Michael Corey, Ntirety, Inc
Jeff Szastak, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
1) Enterprises struggle to manage big data with existing technologies due to more systems, complexity, and data to handle.
2) HPE proposes a new "Sparkitecture" called the HPE Elastic Platform for Analytics to address these issues. It uses a data-centric foundation to consolidate all data and applications on a single, elastic platform for analytics workloads.
3) The platform offers workload-optimized systems that provide better performance, scalability, and economics than traditional Hadoop architectures.
Oracle Systems Overview
Engineered systems strategy and overview about exadata, exalitics, superCluster, Exalogic, Oracle virtual appliance, ZFS appliance
Paper: Oracle RAC Internals - The Cache Fusion EditionMarkus Michalewicz
Accompanying paper to the presentation with the same name (see other slideshares). This paper explains some of the inner workings of Oracle RAC and the Oracle Cache Fusion technology, explaining how Oracle RAC can ensure horizontal scaling across up to the supported number of nodes in a cluster.
Hadoop and WANdisco: The Future of Big DataWANdisco Plc
View the webinar recording here... http://youtu.be/O1pgMMyoJg0
Who: WANdisco CEO, David Richards, and core creaters of Apache Hadoop, Dr. Konstantin Shvachko and Jagane Sundare.
What: WANdisco recently acquired AltoStor, a pioneering firm with deep expertise in the multi-billion dollar Big Data market.
New to the WANdisco team are the Hadoop core creaters, Dr. Konstantin Shvachko and Jagane Sundare. They will cover the the acquisition and reveal how WANdisco's active-active replication technology will change the game of Big Data for the enterprise in 2013.
Hadoop, a proven open source Big Data technolgoy, is the backbone of Yahoo, Facebook, Netflix, Amazon, Ebay and many of the world's largest databases.
When: Tuesday, December 11th at 10am PST (1pm EST).
Why: In this 30-minute webinar you’ll learn:
The staggering, cross-industry growth of Hadoop in the enterprise
How Hadoop's limitations, including HDFS's single-point of failure, are impacting the productivity of the enterprise
How WANdisco's active-active replication technology will alleviate these issues by adding high-availability to Hadoop, taking a fundamentally different approach to Big Data
View the webinar Q&A on the WANdisco blog here...http://blogs.wandisco.com/2012/12/14/answers-to-questions-from-the-webinar-of-dec-11-2012/
Microsoft released SQL Azure more than two years ago - that's enough time for testing (I hope!). So, are you ready to move your data to the Cloud? If you’re considering a business (i.e. a production environment) in the Cloud, you need to think about methods for backing up your data, a backup plan for your data and, eventually, restoring with Red Gate Cloud Services. In this session, you’ll see the differences, functionality, restrictions, and opportunities in SQL Azure and On-Premise SQL Server 2008/2008 R2/2012. We’ll consider topics such as how to be prepared for backup and restore, and which parts of a cloud environment are most important: keys, triggers, indexes, prices, security, service level agreements, etc.
This document discusses BRAC's transition to using OpenStack for its private cloud infrastructure. It provides an overview of cloud computing and OpenStack, including definitions, components, and architecture. It describes BRAC's transformation from physical servers to virtualization to OpenStack. BRAC chose OpenStack because it is open source, massively scalable, has a large community and developer base, and no licensing fees.
Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware requirements. Mostly, it is just matter of normalizing to the right degree and getting the indexes right. The major challenge in these systems is their extreme concurrency, which means that small temporary slowdowns can escalate to major issues very quickly.
In this presentation, Gwen Shapira will explain how application developers and DBAs can work together to built a scalable and stable OLTP system - using application queues, connection pools and strategic use of caches in different layers of the system.
The document discusses running Hadoop clusters in the cloud and the challenges that presents. It introduces CloudFarmer, a tool that allows defining roles for VMs and dynamically allocating VMs to roles. This allows building agile Hadoop clusters in the cloud that can adapt as needs change without static configurations. CloudFarmer provides a web UI to manage roles and hosts.
Presentación sobre la futura base de datos 18c, en la cual se incorpora todo lo mejor de las tecnologías Oracle, perfilando así una base de datos autónoma.
Hadoop is an open-source framework that allows distributed processing of large datasets across clusters of computers. It has two major components - the MapReduce programming model for processing large amounts of data in parallel, and the Hadoop Distributed File System (HDFS) for storing data across clusters of machines. Hadoop can scale from single servers to thousands of machines, with HDFS providing fault-tolerant storage and MapReduce enabling distributed computation and processing of data in parallel.
VMware PEX Boot Camp - The Future Now: NetApp Clustered Storage and Flash for...NetApp
Business drivers affect the performance expectations of enterprise applications. Data infrastructure must be flexible and agile to support these emerging performance and availability requirements. This session will show you how to build a data infrastructure using NetApp's flash and clustering technologies that is flexible enough to accommodate those changing demands. The session will cover how to combine NetApp's enterprise flash technology (including host-based flash, controller-based caching, hybrid disk shelves, and all-flash arrays) with NetApp's Clustered Data ONTAP to allow dynamic re-optimization of application performance, with an eye on how workload characteristics drive architectural decisions.
What is the Oracle PaaS Cloud for Developers (Oracle Cloud Day, The Netherlan...Lucas Jellema
The promise of the cloud is substantial. Oracle's public cloud promise goes beyond the generic promise. This presentation describes the promise of the Oracle Public Cloud specifically for developers. It describes the current state of the PaaS Platform, the actual and coming services and what they could mean to a developer. From same platform, different location (DBaaS, JCS) to cloud native stack (ICS, MCS) and services for Citizen Developers, the presentation touches upon virtually all services relevant to developers. The presentation concludes with first the steps enterprises can start taking to move to the cloud and second the steps individual developers could and perhaps should take in order to conquer the clouds.
NetApp and Microsoft offer solutions for building a private cloud using their integrated technologies. This allows organizations to [1] reduce IT costs by improving efficiency, [2] increase agility to respond faster to business needs, and [3] automate data management tasks for greater operational efficiency. Key components include NetApp storage, Microsoft System Center, and Windows Server Hyper-V, which provide capabilities like dynamic scalability, automated workflows, predictable multi-tenancy, and self-service provisioning when combined. Migrating to a private cloud is a multi-step process including standardizing, consolidating, automating management, and centralizing control.
The presentation was made at the first Serverless Pune meetup on 4th Feb 2017 https://www.meetup.com/Serverless-Pune
In the first Meetup, we covered most of the basics & a simple demos. Upcoming meetups will dive deeper into technical implementation and various real world use cases
Achieving Cost and Resource Efficiency through Docker, OpenShift and KubernetesDean Delamont
The document discusses how adopting containerization and microservices technologies like Docker, Kubernetes, and OpenShift can help organizations achieve cost savings, resource efficiency, reduced complexity, accelerated time to market, and greater portability when deploying solutions on OpenStack. Currently, deploying applications on OpenStack using virtual machines is costly due to high resource usage from large VM sizes, installed operating systems, overprovisioned resources, and maintaining active standby instances. The presentation explores how a container-based approach addresses these issues and improves business outcomes.
This document discusses testing Kubernetes and OpenShift at scale. It describes installing large clusters of 1000+ nodes, using scalability test tools like the Kubernetes performance test repo and OpenShift SVT repo to load clusters and generate traffic. Sample results show loading clusters with thousands of pods and projects, and peaks in master node resource usage when loading and deleting hundreds of pods simultaneously.
This presentation is to help you understand https://kubernetes.io/docs/tutorials/stateful-application/zookeeper/ without having to read all the concepts in a number of Kubernetes documents.
The document discusses the Kubernetes API server and its RESTful HTTP API. It describes the API endpoints for accessing different Kubernetes resources, how API groups and versions are organized, how API requests are routed and processed, how Kubernetes objects are converted between different versions, and how storage and code generation are used.
Kubernetes is awesome! But what does it takes for a Java developer to design, implement and run Cloud Native applications? In this session, we will look at Kubernetes from a user point of view and demonstrate how to consume it effectively. We will discover which concerns Kubernetes addresses and how it helps to develop highly scalable and resilient Java applications.
FOSDEM TALK: https://fosdem.org/2017/schedule/event/cnjavadev/
Tips on solving E_TOO_MANY_THINGS_TO_LEARN with KubernetesBen Hall
Presented at Skills Matter, 8th February 2017.
Discusses the Kubernetes community and tools such as Minikube, Kubeadm, Helm and Weave Flux. Demos driven by katacoda.com
A look at kubeless a serverless framework on top of kubernetes. We take a look at what serverless is and why it matters then introduce kubeless which leverages Kubernetes API resources to provide a Function as a Services solution.
Strata SC 2014: Apache Mesos as an SDK for Building Distributed FrameworksPaco Nathan
O'Reilly Media - Strata SC 2014
Apache Mesos is an open source cluster manager that provides efficient resource isolation for distributed frameworks—similar to Google’s “Borg” and “Omega” projects for warehouse scale computing. It is based on isolation features in the modern kernel: “cgroups” in Linux, “zones” in Solaris.
Google’s “Omega” research paper shows that while 80% of the jobs on a given cluster may be batch (e.g., MapReduce), 55-60% of cluster resources go toward services. The batch jobs on a cluster are the easy part—services are much more complex to schedule efficiently. However by mixing workloads, the overall problem of scheduling resources can be greatly improved.
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Similar to Achieving Cost & Resource Effeciencies through Trove Database As-A-Service (DBaaS)[Public Version] (20)
1. Achieving Cost and Resource
efficiency within OpenStack
through Trove Database-As-A-Service
(DBaaS)
V1.0
Dean Delamont
8th January 2016
2. Context
One of biggest challenges to organizations is how to leverage their Openstack
infrastructure in a cost effective way to deploy their solutions. Also where their
solutions are built upon traditional (non-cloud) proprietary databases this
presents further challenges.
In addition where there is great uncertainty over the underlying database
technology which is ever evolving this represents a major cost to many
organizations having to choose to invest in multiple infrastructures and
technologies without certainty as to the longevity of their investment.
In this presentation we explore how Trove can provide a uniformed solution for all
database types – MySQL, Oracle, Mongo, Cassandra etc. and whether as a business by
integrating our solutions with the OpenStack Trove DBaaS module we can benefit from:
Cost and resource savings;
Reduced complexity
3. Introduction to DBaaS
Today databases are used extensively within our solutions and are a core part
of our solutions holding business critical subscriber data and service related
data for our customers.
Traditionally these databases were installed on a customer site and hosted on
dedicated hardware as bare metal (non cloud). These databases remained
relatively static and never scaled.
Conversely within other state of the art cloud platforms like Amazon’s AWS
Cloud or other private clouds Infrastructure as a Service’s (IaaS) platforms
based similar to us on OpenStack such as RackSpace among others, these
solutions provide databases inside Virtual Machines (VMs) with the use of
advanced Cloud technologies such as Database As A Service (DBaaS) that
allow users to simply and easily spin up new database instances on demand
through self service portals.
These state-of-the-art platforms provide speed, scale and agility through the
utlisation of DBaaS technologies whilst also maintaining a high service
availability of 99.95% in order to meet their Service Level Agreements (SLAs).
.
4. Introduction to DBaaS
This provides organizations and developers the ability to focus on building their products and
improving their applications without worrying about managing the database infrastructure. It
also gives the ability to rapidly rollout multiple database instances and different database
technologies i.e. Oracle, Mongo, Cassandra, that can efficiently share the same OpenStack
and Database infrastructure giving greater flexibility in the choice for database technologies.
In addition it offer a number of advantages to businesses including;
Savings on cost efficiencies though utilizing the same infrastructure for multiple Database types
reducing their TCO.
A standardized process and infrastructure within OpenStack to rapidly deploy new databases, new
functionality accelerating time to market within a consistent framework
Self-service dashboard and APIs enabling end users to rapidly provision as well as monitor and
manage databases throughout the life cycle of the database without needing to understand the
complexity of individual database infrastructures and technologies.
Ease of Elasticity/Scalability – the ability to scale you databases with ease as your needs grow. Where
customers can scale their databases in two manners:
• Based on User Demand (Reed Scaling) – where you need to increase capacity to support a
higher volume of user requests for your service.
• Based on the volume of data (Data Scaling) - where for example you need to increase the size
of your database to support the increased size in the volume of data needed to be persisted in
your database volumes for your service.
5. Introduction to Trove
Trove is an OpenStack Database As a Service (DBaaS) which provides a
simple, reliable and scalable provising, monitoring and management
system for single and multiple Database instances within a private cloud.
Supports both MySQL and non SQL Databases.
Provides a self-service, managed database service through an extended
OpenStack HORIZON dashboard UI that allows you to perform otherwise
complex administration tasks in a simple way through single actions in a UI.
Provides an enterprise level system for fully managing multiple Databases
with the cloud including monitoring, backup etc.
http://wiki.openstack.org/wiki/Trove
6. Introduction to Trove
Multi-Database Architecture – supports traditional MySQL and non SQL
databases agnostic. Future proof.
7. Introduction to Trove
Part of the OpenStack Optional Services:
Core Services
Optional Enhanced Services
SWIFT
Object Storage
GLANCE
Image Service
NEUTRON
Networking
CINDER
Block Storage
KEYSTONE
IDENTITY
NOVA
COMPUTE LAYER
HORIZON
Dashboard UI
CEILOMETER
TELEMETRY
SAHARA
Data
Processing
TROVE
(DBaaS)
HEAT
Orchestration
IRONIC
Bare Metal
MAGNUN
Container Service
+
8. Trove OpenStack Architecture Overview
Integral to OpenStack and designed for On-Prem Private Cloud
implementations
9. Adoption of Trove
Originally released as a part of the Icehouse release, Trove aims to automate much of this
process by using existing OpenStack components to manage tasks like infrastructure
deployment, storage allocation, monitoring, and replication.
Both Oracle 11g and 12c have been certified on Trove by Tesora.
Has been part of the Core OpenStack Modules for many years now and has been adopted by:
• HP
• Ebay
• PayPal
• Mirantis (Major contributor to Trove)
• Ubuntu
• Rackspace
• Percona
• A much longer list than above, growing by the day.
10. Key Features
Provides suitable enterprise level tools for DB Creation, deletion etc. where in an
instant you can spin up a new instance from a simple Dashboard
Enhanced and easy to administer Horizon Dashboard UI (As of Kilo Release)
Automates complex administrative like patching (Security), configuration, user
permissions, backups, upgrades, restores, and monitoring again all configurable
through simple dashboard.
Support for Failover
Self-service Database Provisioning - Provides an easy self-service way to quickly
select, provision, and operate a data management infrastructure in a secure, scalable,
and reliable manner.
Full Database Life Cycle Management
Multi-database support – can run single or multiple databases
Supports both Relational and no relation databases
Offers us a flexible solution that allows us to move to other Databases
implementation more quickly and in a less costly manor – instead of tying ourselves
to one database “Oracle”
Replication framework – single master, multiple slaves, MySQL replication (from Juno
Release) where you can specify a master DB and slave for the purpose of auto scaling.
11. Key Features
Allows you to manages multiple database instances from again a simple Dashboard
easy to administrate
Supports mixed DB environment – Oracle + Cassandra + Mongo + many others
Provides enhanced Logging and Monitoring specific to Databases through simple
easy to manage dashboard – not just CPU/Memory usage but provides an API to
monitor and report the state of datastores.
SLA Level - Automated/intelligent recovery mechanisms – Promotes a slave to
master if master fails, provisions new slave if detects a slave failed, self repair for
clustered databases on failed nodes, gathers metrics, sends automated alerts to
engineers and much more. Integrated with LogStash, Elastic Search, Kibana.
Provides a coherent infrastructure to manage the diversity of databases we will
have in the future – Cassandra, Mongo (a long list). It solves not just our short term
need to solve the issue of Oracle support on OpenStack but also addresses our future
needs, where we shall be able to migrate more quickly our applications to other
Databases reducing our costs longer term.
Reduction in total cost of ownership (TCO)
NOTE: Its worth noting that as well as being part of the OpenStack official implementation, Trove has a major community of
of developers working on Trove and many organisations like Mirantis and Tesora working on Trove
12. Don’t take my word for it see what Oracle and others have to say
about trove:
http://www.slideshare.net/mattalord/mysql-dbaas-with-openstack-
trove
13. 5 Key Reasons – Why as a business we need Trove
Reduces development costs – Provides a uniformed common infrastructure in which to write our
Apps to single common API framework, which can be reused across multiple DB technologies.
Here we write our code once not several times each time trying to understand intricately in detail
how the new Database technology works, such as how to do backup, grow the cluster, scale etc.
all currently things today we are doing at our cost and time!
Reduced OPEX Costs – Through a simplified dashboard this greatly reduces the operational
complexity allowing end users at ease to perform complicated related administration and
operational functions through simple UI functions without the need to call on the DBA. Empowers
the end user to self create, operate and manage their chosen database technology instances in the
cloud easily and simply where effort to create the database infrastructure is done once by the DBA
and re-used by all.
Greater product Velocity – It takes minutes to create a new Database instance using Trove,
something that ordinarily would take us considerable man effort and time if we did ourselves.
Greater ability to innovate – The speed at which one can select and deploy a new chosen
database technology using Trove is significantly faster by a phenomenal magnitude of order
compared to doing it by ourselves manually and at our own cost. Through DBaaS and Trove we
can leverage new Database technologies faster than any other approach. As a business this
allows us greater flexibility to innovate.
Reduced TCO – If your still not convinced, then consider the cost savings that shall be gained by
having one common database infrastructure for all of solutions and our databases. This is where
Trove excels as an approach as not only does it reduce development costs, OPEX, it also reduces
CAPEX where as a result of all of this we gain cost efficiencies at a wider scale that in turn drives
14. Alternative Paths
Alternatives - Go in your own direction opposite to OpenStack and
develop a bespoke custom solution which may be costly and expensive
to develop and maintain. Plus it may not cover half the functionality of
Trove that is already available. In addition you may have issues with
support and any work undertaken could be throw away where your
organisation may need to migrate its solution to an alternative database
technology.
Trove is rapidly becoming the solution for provisioning and managing all
of the relational and non-relational database resources within many
enterprises. It is in fact the only considered enterprise level solution for
a DBaaS within a Private Cloud. Anything else is a choice to invest in
custom potentially wasted development effort building database
infrastructures and orchestration which goes in the opposite direction to
the main direction for OpenStack.
15. Not convinced?
1. Databases don’t stay static anymore, the rate of changes in the adoption mainstream of new database technologies has
evolved more in the last 5 years than ever before, where businesses cant rely on simply buying all their database needs from
single provider such as Oracle. Todays successful businesses need to innovate, scale, deploy more reliably their solutions in the
cloud and need the means provision create new database types for testing of new features, upgrading and patching of databases
across multiple test environments and their CI-CD pipeline. Can you be sure that the database technology your using today will
be the same in the next 5 years? If not I recommend considering the value of a one time investment of using DBaaS which
supports multiple database types in which your employees can then leverage the Trove APIs to create their Databases with ease
and within minutes (Not weeks or months as it may take doing it yourself).
2. DBaaS doesn’t just solve the problem of the set up but provides the end user a full database life cycle solution covering
complex database tasks like Replication, HA, User Management, Restore, Backup and Cluster Management etc. needed by any
business that needs to maintain service availability in the cloud of 99.95%. All of this in a custom approach takes time and
money away from businesses who’s primary business is in selling its products and software, not building custom database
infrastructures at the expense of slowing their products time to market.
3. Support for multiple database types – Presently many businesses solutions are working with multiple database technologies
adding complexity and costs to the business to maintain custom infrastructures for each database type such as MongoDB,
Couchbase, Cassandra, Oracle 11g, Oracle 12c, Oracle RAC, Postgre. This is an unsustainable model where the custom effort to
support this is a potential significant drain on the critical resources to a business.
4. Consider also that with new open source mySQL and noSQL databases these are changing at an unprecedented rate of
development where new versions are coming out every few days or weeks (not even months) and certainly not years as we
used to see with Oracle. Can your business afford to fund spending significant resource on supporting all of this? If no, why not
consider making a one time investment in DBaaS where you have a common API framework for all database types that once you
have invested in you can re-use time and time again not worrying about the cost of how your business will support the building of
custom database infrastructures.
To find out more on Trove visit: https://www.tesora.com and https://wiki.openstack.org/wiki/Trove
Consider:
16. “Since 2000, 52% of the companies in the Fortune 500 have either gone
bankrupt, been acquired, ceased to exist, or dropped off the list • Digitalization
of business is a key factor in this accelerated pace of change. Information flows
faster. Cloud is the foundation for digital transformation – Ubiquity and ease
of adoption – Unlimited and dynamic capacity – Helps you innovate faster” Ray
Wang, Constellation Research Cloud: ”Single Most Disruptive Technology”
Source: Forbes
Dean Delamont
8th January 2016
Closing Thought
Note DBaaS doesn’t remove or reduce the development effort for your client apps to perform read/write functions on databases. It addresses the problem and cost associated with building and maintaining database infrastructures for which in a large IT organisation the cost may be significant to the business as well as the implications where resource is allocated to supporting database custom infrastructures rather than on focusing on getting the product or solution to the market (where most business make their money!).
Note Tesora can provide your business a commercial support framework for DBaaS further reducing the cost of supporting databases in the cloud to your business. I recommend evaluating both Tesora’s DBaaS platform which is by far the most advanced DBaaS plaform I have seen based on a detailed code review and comparison of alternative DBaaS offerings at the time of producing this.
For more information please see my white paper which provides a detailed guide on how to use Trove.
Ubiquity meaning in our context our ability to leverage many database technologies through DBaaS and Trove. We must search out technologies that will enable our businesses accelerate its product development and innovate faster!
Success in the cloud may not defined by the features we support, but by how you leverage enabling technologies like Trove that enable you to compete better with reduce TCO, faster time to market, greater ability to innovate adopting new database cloud friendly technologies, increased ability to scale your solutions in a managed and efficient way whereby you can then deliver not just your solutions to our customer but the same benefits of reduced OPEX cost, faster time to market, ability to scale on demand etc. they expect from any cloud solution from a leading SW company.