The document discusses using flash storage to improve the performance of virtualized workloads. It describes three main pain points of weak performance due to I/O bottlenecks, service interruptions from downtime, and complex data management. Introducing a flash tier can provide 2-5x faster performance and continuous availability even if the main facility has an outage. Case studies show how flash storage improved response times for SAP and Oracle databases and provided 99.999% uptime for an internet hosting company. The document provides a blueprint for adopting flash storage by first dedicating it to specific workloads and then extending its use across more applications and tiers.
App Performance Tip: Sharing Flash Across Virtualized WorkloadsDataCore Software
Core business applications like Oracle, SAP, SQL Server, Exchange and SharePoint often perform poorly when virtualized. More often than not the root cause is data I/O bottlenecks.
In this presentation, DataCore Software and Fusion-io highlight how to:
• Integrate flash memory to overcome I/O bottlenecks in real-world environments
• Combine flash technology with existing storage
• Speed up virtualized applications
• Prevent storage from slowing down or taking down your applications
Linked in Twitter Facebook Google+ Email Embed Share Flash Across Virtualized...Emulex Corporation
Does your business need to speed up response times and provide continuous availability for your mission-critical applications?Core business applications like Oracle, SAP, SQL Server, Exchange and SharePoint often perform poorly when virtualized. More often than not, the root cause of poor performance is data I/O bottlenecks. If you are looking at solid-state memory technologies to deliver the blazing performance you need, this joint webinar will be well worth your time!
Enterprise-Grade Disaster Recovery Without Breaking the BankDonna Perlstein
Until recently, enterprise-grade DR had been prohibitively expensive, leaving many companies with high risk levels and unreliable solutions. Now, many organizations are enjoying top-of- the-line disaster recovery at a fraction of the price, thanks to the rapid development of cloud technology. CloudEndure and Actual Tech Media are thrilled to present this presentation, with a cost comparison of 3 Disaster Recovery Strategies, and much more.
This document discusses VMware's EVO SDDC integrated systems solution. EVO SDDC systems deliver a fully automated, policy-driven private cloud by extending virtualization across compute, storage, and networking resources. The EVO SDDC Manager provides automated setup and lifecycle management of the entire software-defined data center stack, including both hardware and software components. The presentation provides an overview of the EVO SDDC architecture and solution and how it simplifies data center operations through features like rapid deployment, elastic scalability, and automated management.
EMC Sponsored Session- Building Massive + Efficient Indexer Storage Environme...Splunk
We all know that Splunk software is designed to handle streaming work flows and scale out very linearly. Infrastructure needs to be able to grow with Splunk’s scalability while being smart enough to take care of itself. There are multiple ways to deploy storage to support your Splunk environment but there are a few recommended practices to keep in mind as you begin planning your Splunk deployment to avoid the pitfalls of traditional DAS infrastructure. From flashing your home path, to ice cold data lakes, + converged solutions, we will cover what you need to know to avoid the common challenges of traditional IT when it comes to big data workloads.
Delivering First Class performance and Availability for Virtualized Tier 1 Apps DataCore Software
This document discusses how virtualization introduces performance barriers and availability issues for applications. It presents networked flash storage and storage virtualization as solutions to provide predictable, high performance and continuous availability for virtualized applications in a simple and cost-effective manner. Specifically, it allows introducing flash as a new high performance tier, provides continuous availability through data separation and mirroring across rooms, and offers a scalable platform to meet growing needs.
Dealing with data storage pain points? Learn why a true Software-defined Storage solution is ideal for improving application performance, managing diversity and migrating between different vendors, models and generations of storage devices.
App Performance Tip: Sharing Flash Across Virtualized WorkloadsDataCore Software
Core business applications like Oracle, SAP, SQL Server, Exchange and SharePoint often perform poorly when virtualized. More often than not the root cause is data I/O bottlenecks.
In this presentation, DataCore Software and Fusion-io highlight how to:
• Integrate flash memory to overcome I/O bottlenecks in real-world environments
• Combine flash technology with existing storage
• Speed up virtualized applications
• Prevent storage from slowing down or taking down your applications
Linked in Twitter Facebook Google+ Email Embed Share Flash Across Virtualized...Emulex Corporation
Does your business need to speed up response times and provide continuous availability for your mission-critical applications?Core business applications like Oracle, SAP, SQL Server, Exchange and SharePoint often perform poorly when virtualized. More often than not, the root cause of poor performance is data I/O bottlenecks. If you are looking at solid-state memory technologies to deliver the blazing performance you need, this joint webinar will be well worth your time!
Enterprise-Grade Disaster Recovery Without Breaking the BankDonna Perlstein
Until recently, enterprise-grade DR had been prohibitively expensive, leaving many companies with high risk levels and unreliable solutions. Now, many organizations are enjoying top-of- the-line disaster recovery at a fraction of the price, thanks to the rapid development of cloud technology. CloudEndure and Actual Tech Media are thrilled to present this presentation, with a cost comparison of 3 Disaster Recovery Strategies, and much more.
This document discusses VMware's EVO SDDC integrated systems solution. EVO SDDC systems deliver a fully automated, policy-driven private cloud by extending virtualization across compute, storage, and networking resources. The EVO SDDC Manager provides automated setup and lifecycle management of the entire software-defined data center stack, including both hardware and software components. The presentation provides an overview of the EVO SDDC architecture and solution and how it simplifies data center operations through features like rapid deployment, elastic scalability, and automated management.
EMC Sponsored Session- Building Massive + Efficient Indexer Storage Environme...Splunk
We all know that Splunk software is designed to handle streaming work flows and scale out very linearly. Infrastructure needs to be able to grow with Splunk’s scalability while being smart enough to take care of itself. There are multiple ways to deploy storage to support your Splunk environment but there are a few recommended practices to keep in mind as you begin planning your Splunk deployment to avoid the pitfalls of traditional DAS infrastructure. From flashing your home path, to ice cold data lakes, + converged solutions, we will cover what you need to know to avoid the common challenges of traditional IT when it comes to big data workloads.
Delivering First Class performance and Availability for Virtualized Tier 1 Apps DataCore Software
This document discusses how virtualization introduces performance barriers and availability issues for applications. It presents networked flash storage and storage virtualization as solutions to provide predictable, high performance and continuous availability for virtualized applications in a simple and cost-effective manner. Specifically, it allows introducing flash as a new high performance tier, provides continuous availability through data separation and mirroring across rooms, and offers a scalable platform to meet growing needs.
Dealing with data storage pain points? Learn why a true Software-defined Storage solution is ideal for improving application performance, managing diversity and migrating between different vendors, models and generations of storage devices.
This document discusses disaster recovery and the use of cloud computing for disaster recovery. It begins by outlining the need for effective disaster recovery, noting that downtime from disasters cost over $41 billion in 2009 and that improving disaster recovery capabilities is a high priority for most enterprises. It then provides an overview of cloud computing characteristics like scalability, elasticity, and multi-tenancy. The document proposes that virtualizing disaster recovery can bridge the gap between traditional backup approaches that are slow, and duplicating all infrastructure which is costly. It presents the NetGains disaster recovery offerings that use virtualization and replication to enable workloads to be recovered in the cloud quickly and easily during a disaster.
How to Avoid Disasters via Software-Defined Storage Replication & Site RecoveryDataCore Software
Shifting weather patterns across the globe force us to re-evaluate data protection practices in locations we once thought immune from hurricanes, flooding and other natural disasters.
Offsite data replication combined with advanced site recovery methods should top your list.
In this webcast and live demo, you’ll learn about:
• Software-defined storage services that continuously replicate data, containers and virtual machine images over long distances
• Differences between secondary sites you own or rent vs. virtual destinations in public Clouds
• Techniques that help you test and fine tune recovery measures without disrupting production workloads
• Transferring responsibilities to the remote site
• Rapid restoration of normal operations at the primary facilities when conditions permit
From Disaster to Recovery: Preparing Your IT for the UnexpectedDataCore Software
Did you know that 22% of data center outages are caused by human error? Or that 10% are caused by weather incidents?
The impact of an unexpected outage for just a few hours or even days could be catastrophic to your business.
How would you like to minimize or even eliminate these business interruptions, and more?
Join us to discover:
• Useful and simple measures to use that can help you keep the lights on
• How to quickly recover when the worst-case scenario occurs
• How to achieve zero downtime and high availability
Virtual SAN vs Good Old SANs: Can't they just get along?DataCore Software
Dark forces in the IT industry like to polarize popular opinion; most recently they argue for keeping all the storage in the servers using Virtual SANs, leaving nothing external. These sudden mood swings, while attracting a young cult following, lose sight of lessons learned over the past 20 years.
Truth is, a blend of internal storage close to the apps with good old fashioned external secondary storage out on the network makes a heck of a lot of sense.
In this presentation, Senior Analyst Jim Bagley from SSG-NOW, shows the not so black-and-white considerations driving customers to tap into the internal storage resources of clustered servers. Also, it provides some practical guidance on how to incorporate existing storage arrays and even public cloud capacity into your Virtual SAN rollout
Virtual SAN: It’s a SAN, it’s Virtual, but what is it really?DataCore Software
What do you think of when you hear the words “Virtual SAN”? For some, it may mean addressing application latency and infrastructure costs through consolidation. For others, it may be addressing potential single point of failures. Regardless of the use case, Virtual SANs are becoming one of the hottest software-defined storage solutions for IT organizations to maximize storage resources, lower overall TCO, and increase availability of critical applications and data.
This presentation introduces the concept of Virtual SAN and does a technical deep dive on the most common use cases and deployment models involved with a DataCore Virtual SAN solution.
[TDC 2013] Integre um grid de dados em memória na sua ArquiteturaFernando Galdino
The document discusses using Oracle Coherence, which is a data grid product that allows for caching and distributed data storage in memory across a cluster. It provides an introduction to Coherence and examples of how it can be used, such as for caching database query results, distributing user session data across multiple application servers, and replicating data across different geographic regions. Use cases are also presented, such as for trading exchanges, telecommunications systems, and risk calculation applications.
This document discusses challenges with modern data infrastructure and how DataCore software addresses them. It summarizes that data is growing faster than storage budgets, storage silos waste capacity and are hard to manage, and applications often run slowly due to storage performance issues. DataCore software solves these problems by pooling storage, providing infrastructure services independently of hardware, separating software and hardware advances, and providing single-pane management of disparate infrastructure.
The document discusses data protection challenges and solutions from Dell. It notes that 23% of respondents desire increased reliability of backups/recoveries and 22% wish for increased speed or frequency of backups. Dell's data protection approach claims to restore applications and data 6x faster than legacy solutions with near-zero downtime. It provides extensible protection across physical, virtual and cloud in one solution. Dell solutions aim to help customers spend less, operate with more agility, and unlock time in their day.
This presentation provides an overview of DataCore's Software-defined Storage Platform and insights into DataCore's latest world-record setting performance achievements on the SPC-1 benchmark. DataCore Parallel I/O, which is at the heart of DataCore's technology, is a unique approach to increasing storage performance by orders of magnitude without the need to acquire more and more hardware.
Increase Your Mission Critical Application Performance without Breaking the B...DataCore Software
In virtualized environments, mission critical applications get bogged down, leading to user complaints. Root cause analysis has shown that inadequate storage performance is the culprit. But, fixing these performance issues will cost 5 to 7 times your current storage.
In this presentation, learn about a revolutionary solution that combines Skyera’s advanced All Flash Arrays (AFA) with DataCore’s innovative Software-defined Storage platform. This solution will easily accelerate your SQL Servers at a price that fits your budget.
What is expected from Chief Cloud Officers?Bernard Paques
The new CxO is taking care of cloud computing for his company. Among his responsabilities: brand experience, go-to-market and business agility. What do these mean in terms of capabilities?
The document outlines 15 value propositions of ExaGrid disk-based backup appliances compared to other solutions. Key advantages include the shortest backup windows due to inline deduplication, fixed length backup windows as data grows by adding both capacity and compute, no forklift upgrades as new appliances can be mixed and matched, and pay as you grow model to buy what is needed. ExaGrid also offers price protection, no undersizing risk, no obsolescence of older appliances, fast onsite restores and offsite tape copies using a unique landing zone, and distributed architecture for high availability.
This document provides an overview and roadmap for EMC's ViPR Global Data Services, which provide storage services at cloud scale across heterogeneous storage infrastructure. It discusses how ViPR uses software-defined storage to abstract and pool storage resources. Key points covered include ViPR's object and HDFS data services, its architecture and object storage capabilities like object on file. The presentation also reviews EMC's object strategy evolution and how ViPR meets new demands of big data through a unified platform that can define multiple data services on the same data.
DataCore Software Defined Storage Survey InfographicDataCore Software
DataCore has released the results of its fifth annual State of Software-Defined Storage (SDS) survey. The 2015 poll explored the impact of SDS on organizations across the globe, and distills the experiences of 477 IT professionals currently using or evaluating SDS to solve critical data storage challenges. The results yield surprising insights from a cross-section of industries over a wide range of workloads.
Securing and automating your application infrastructure meetup 23112021 blior mazor
Stay safe, grab your favorite food and join us virtually for our upcoming "Securing and Automating your application infrastructure" meetup to hear about the vast changes modern application deployment, application security in containers, ways to find vulnerabilities in your code and how to protect your application infrastructure.
1. Cloud computing disaster recovery techniques allow companies to recover data when disasters occur through backups stored remotely in the cloud. This prevents huge losses of data and financial costs from data loss.
2. Traditional disaster recovery techniques involve various tiers for backing up data either onsite or offsite. Cloud disaster recovery as a service provides a cheaper alternative where backups are stored and recovered from the cloud.
3. For effective disaster recovery in the cloud, systems aim to minimize the recovery point objective (amount of data loss allowed) and recovery time objective (acceptable downtime for restoration). Challenges include ensuring network and security when systems fail over to the cloud backup.
MapR is a distribution of Apache Hadoop that includes over a dozen projects like HBase, Hive, Pig, and Spark. It provides capabilities for big data and constantly upgrades projects within 90 days of release. MapR also contributes to open source. Key benefits include high availability without special configurations, superior performance reducing costs, and data protection through snapshots. It also supports real-time applications, security, multi-tenancy, and assistance from MapR data scientists and engineers.
Enterprise-Grade Disaster Recovery Without Breaking the BankCloudEndure
Until recently, enterprise-grade DR had been prohibitively expensive, leaving many companies with high risk levels and unreliable solutions. Now, many organizations are enjoying top-of- the-line disaster recovery at a fraction of the price, thanks to the rapid development of cloud technology. CloudEndure and Actual Tech Media are thrilled to present this presentation, with a cost comparison of 3 Disaster Recovery Strategies, and much more.
In memory computing principles by Mac Moore of GridGainData Con LA
This document provides an overview of in-memory computing principles and GridGain's in-memory data fabric technology. It discusses why in-memory computing is needed to handle today's data volumes and velocities, how architectures have evolved from traditional databases to in-memory data grids, key considerations for in-memory data grids, use cases for GridGain's technology, and highlights of GridGain's Release 6.5 including cross-language interoperability and dynamic schema changes.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
This document discusses disaster recovery and the use of cloud computing for disaster recovery. It begins by outlining the need for effective disaster recovery, noting that downtime from disasters cost over $41 billion in 2009 and that improving disaster recovery capabilities is a high priority for most enterprises. It then provides an overview of cloud computing characteristics like scalability, elasticity, and multi-tenancy. The document proposes that virtualizing disaster recovery can bridge the gap between traditional backup approaches that are slow, and duplicating all infrastructure which is costly. It presents the NetGains disaster recovery offerings that use virtualization and replication to enable workloads to be recovered in the cloud quickly and easily during a disaster.
How to Avoid Disasters via Software-Defined Storage Replication & Site RecoveryDataCore Software
Shifting weather patterns across the globe force us to re-evaluate data protection practices in locations we once thought immune from hurricanes, flooding and other natural disasters.
Offsite data replication combined with advanced site recovery methods should top your list.
In this webcast and live demo, you’ll learn about:
• Software-defined storage services that continuously replicate data, containers and virtual machine images over long distances
• Differences between secondary sites you own or rent vs. virtual destinations in public Clouds
• Techniques that help you test and fine tune recovery measures without disrupting production workloads
• Transferring responsibilities to the remote site
• Rapid restoration of normal operations at the primary facilities when conditions permit
From Disaster to Recovery: Preparing Your IT for the UnexpectedDataCore Software
Did you know that 22% of data center outages are caused by human error? Or that 10% are caused by weather incidents?
The impact of an unexpected outage for just a few hours or even days could be catastrophic to your business.
How would you like to minimize or even eliminate these business interruptions, and more?
Join us to discover:
• Useful and simple measures to use that can help you keep the lights on
• How to quickly recover when the worst-case scenario occurs
• How to achieve zero downtime and high availability
Virtual SAN vs Good Old SANs: Can't they just get along?DataCore Software
Dark forces in the IT industry like to polarize popular opinion; most recently they argue for keeping all the storage in the servers using Virtual SANs, leaving nothing external. These sudden mood swings, while attracting a young cult following, lose sight of lessons learned over the past 20 years.
Truth is, a blend of internal storage close to the apps with good old fashioned external secondary storage out on the network makes a heck of a lot of sense.
In this presentation, Senior Analyst Jim Bagley from SSG-NOW, shows the not so black-and-white considerations driving customers to tap into the internal storage resources of clustered servers. Also, it provides some practical guidance on how to incorporate existing storage arrays and even public cloud capacity into your Virtual SAN rollout
Virtual SAN: It’s a SAN, it’s Virtual, but what is it really?DataCore Software
What do you think of when you hear the words “Virtual SAN”? For some, it may mean addressing application latency and infrastructure costs through consolidation. For others, it may be addressing potential single point of failures. Regardless of the use case, Virtual SANs are becoming one of the hottest software-defined storage solutions for IT organizations to maximize storage resources, lower overall TCO, and increase availability of critical applications and data.
This presentation introduces the concept of Virtual SAN and does a technical deep dive on the most common use cases and deployment models involved with a DataCore Virtual SAN solution.
[TDC 2013] Integre um grid de dados em memória na sua ArquiteturaFernando Galdino
The document discusses using Oracle Coherence, which is a data grid product that allows for caching and distributed data storage in memory across a cluster. It provides an introduction to Coherence and examples of how it can be used, such as for caching database query results, distributing user session data across multiple application servers, and replicating data across different geographic regions. Use cases are also presented, such as for trading exchanges, telecommunications systems, and risk calculation applications.
This document discusses challenges with modern data infrastructure and how DataCore software addresses them. It summarizes that data is growing faster than storage budgets, storage silos waste capacity and are hard to manage, and applications often run slowly due to storage performance issues. DataCore software solves these problems by pooling storage, providing infrastructure services independently of hardware, separating software and hardware advances, and providing single-pane management of disparate infrastructure.
The document discusses data protection challenges and solutions from Dell. It notes that 23% of respondents desire increased reliability of backups/recoveries and 22% wish for increased speed or frequency of backups. Dell's data protection approach claims to restore applications and data 6x faster than legacy solutions with near-zero downtime. It provides extensible protection across physical, virtual and cloud in one solution. Dell solutions aim to help customers spend less, operate with more agility, and unlock time in their day.
This presentation provides an overview of DataCore's Software-defined Storage Platform and insights into DataCore's latest world-record setting performance achievements on the SPC-1 benchmark. DataCore Parallel I/O, which is at the heart of DataCore's technology, is a unique approach to increasing storage performance by orders of magnitude without the need to acquire more and more hardware.
Increase Your Mission Critical Application Performance without Breaking the B...DataCore Software
In virtualized environments, mission critical applications get bogged down, leading to user complaints. Root cause analysis has shown that inadequate storage performance is the culprit. But, fixing these performance issues will cost 5 to 7 times your current storage.
In this presentation, learn about a revolutionary solution that combines Skyera’s advanced All Flash Arrays (AFA) with DataCore’s innovative Software-defined Storage platform. This solution will easily accelerate your SQL Servers at a price that fits your budget.
What is expected from Chief Cloud Officers?Bernard Paques
The new CxO is taking care of cloud computing for his company. Among his responsabilities: brand experience, go-to-market and business agility. What do these mean in terms of capabilities?
The document outlines 15 value propositions of ExaGrid disk-based backup appliances compared to other solutions. Key advantages include the shortest backup windows due to inline deduplication, fixed length backup windows as data grows by adding both capacity and compute, no forklift upgrades as new appliances can be mixed and matched, and pay as you grow model to buy what is needed. ExaGrid also offers price protection, no undersizing risk, no obsolescence of older appliances, fast onsite restores and offsite tape copies using a unique landing zone, and distributed architecture for high availability.
This document provides an overview and roadmap for EMC's ViPR Global Data Services, which provide storage services at cloud scale across heterogeneous storage infrastructure. It discusses how ViPR uses software-defined storage to abstract and pool storage resources. Key points covered include ViPR's object and HDFS data services, its architecture and object storage capabilities like object on file. The presentation also reviews EMC's object strategy evolution and how ViPR meets new demands of big data through a unified platform that can define multiple data services on the same data.
DataCore Software Defined Storage Survey InfographicDataCore Software
DataCore has released the results of its fifth annual State of Software-Defined Storage (SDS) survey. The 2015 poll explored the impact of SDS on organizations across the globe, and distills the experiences of 477 IT professionals currently using or evaluating SDS to solve critical data storage challenges. The results yield surprising insights from a cross-section of industries over a wide range of workloads.
Securing and automating your application infrastructure meetup 23112021 blior mazor
Stay safe, grab your favorite food and join us virtually for our upcoming "Securing and Automating your application infrastructure" meetup to hear about the vast changes modern application deployment, application security in containers, ways to find vulnerabilities in your code and how to protect your application infrastructure.
1. Cloud computing disaster recovery techniques allow companies to recover data when disasters occur through backups stored remotely in the cloud. This prevents huge losses of data and financial costs from data loss.
2. Traditional disaster recovery techniques involve various tiers for backing up data either onsite or offsite. Cloud disaster recovery as a service provides a cheaper alternative where backups are stored and recovered from the cloud.
3. For effective disaster recovery in the cloud, systems aim to minimize the recovery point objective (amount of data loss allowed) and recovery time objective (acceptable downtime for restoration). Challenges include ensuring network and security when systems fail over to the cloud backup.
MapR is a distribution of Apache Hadoop that includes over a dozen projects like HBase, Hive, Pig, and Spark. It provides capabilities for big data and constantly upgrades projects within 90 days of release. MapR also contributes to open source. Key benefits include high availability without special configurations, superior performance reducing costs, and data protection through snapshots. It also supports real-time applications, security, multi-tenancy, and assistance from MapR data scientists and engineers.
Enterprise-Grade Disaster Recovery Without Breaking the BankCloudEndure
Until recently, enterprise-grade DR had been prohibitively expensive, leaving many companies with high risk levels and unreliable solutions. Now, many organizations are enjoying top-of- the-line disaster recovery at a fraction of the price, thanks to the rapid development of cloud technology. CloudEndure and Actual Tech Media are thrilled to present this presentation, with a cost comparison of 3 Disaster Recovery Strategies, and much more.
In memory computing principles by Mac Moore of GridGainData Con LA
This document provides an overview of in-memory computing principles and GridGain's in-memory data fabric technology. It discusses why in-memory computing is needed to handle today's data volumes and velocities, how architectures have evolved from traditional databases to in-memory data grids, key considerations for in-memory data grids, use cases for GridGain's technology, and highlights of GridGain's Release 6.5 including cross-language interoperability and dynamic schema changes.
Similar to Presentation to customers sharing flash across virtualized workloads (1) (20)
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
In today’s fast-paced world, IT organizations are continuously looking for better ways to increase the productivity and agility of their business. One major initiative that IT organizations have already implemented is virtualizing mission-critical applications; especially core business and database applications such as Oracle, SAP, SQL Server, Exchange, and SharePoint.This is not an easy task for IT organizations because they have the mission and pressure to provide a fast, non-stop service to the business while maintaining low operating costs. But like everything else in life, there are always tradeoffs to make and IT is not the exception. IT organizations have some difficult decisions to make when virtualizing mission-critical applications. The key is to figure out the optimal approach to achieve the best result in three of the main areas they are measured on, which are performance, uptime, and costs.
One of the major pain points we hear from IT organizations that have migrated their database applications into a virtualized environment is that they are experiencing a significant impact on application performance. The reason why they see this impact is because all the virtualized applications are now competing for access to retrieve data from storage. This problem is most commonly known as an I/O bottleneck. This is a major challenge because a significant impact on application performance causes a direct impact on business productivity. This is unacceptable to any business.
Another major pain point we are hearing from IT organizations delivering virtualized applications is the amount of downtime due to service interruptions. Service interruptions are a bigchallenge as well because end users rely on these applications to run the business and they cannot afford any downtime. If a server is taken down for maintenance or a system component fails, then all the virtualized applications go down with the server. If end users cannot access their applications, then there’s a major disruption in day-to-day business operations. This is also unacceptable to any business.
One solution typically implemented to minimize downtime is creating a cluster. In a cluster you have a group of servers running virtualized applications acting as a redundant system to immediately migrate workloads from one server to another. This cluster approach provides continued service when a server goes offline for any particular reason. However, something to keep in mind is that the virtualized applications require the use of shared storage in a cluster approach. This not only means that you have to make an additional investment on external storage, but you are also wasting existing and valuable server storage resources. By now you are probably thinking, well I might not be fully utilizing my server resources, but I can live with that because now I have a solution that minimizes downtime and takes care of my problem. Right?... ClickNot exactly. There is still another factor you have to consider because your system is still vulnerable. Just implementing a cluster with a shared storage array leads to a bigger problem. This solution has limitations because now all your servers and shared storage reside in one location. So what happens if there’s an outage in that facility due to a power failure, an air conditioning malfunction, a water leak, or even a construction accident? Now that facility becomes a single point of failure causing major downtime and a huge impact on the business.
The third and final pain point for IT we want to highlight is managing the complexity of the environment. Using storage hardware from different manufacturers can become an environment that is difficult to manage because there’s a strict dependency on specific configuration parameters, like firmware levels, channel protocols and inter-device compatibility. Even if the hardware is from the same manufacturer, there’s always the challenge when new technologies arrive because the existing hardware might not be compatible with the new technology forcing IT to make the decision between investing in new hardware upgrades or not leveraging the new technology as part of their infrastructure. Additionally, figuring out how to allocate the data to different storage resources and managing it introduces more complexity in the environment.
All these three pain points we have discussed are very common in any IT organization. Unfortunately some of the quick solutions implemented to address these pain points tend to force IT to make significant tradeoffs between performance, uptime, complexity, and costs. Instead of making tradeoffs in all these areas you are measured on and settling for one of them, why not evaluate a different approach to delivering data that is optimized to address all theses pain points simultaneously? Now let us share with you a better approach to increase business productivity and agility for your organization. This approach will help you improve the performance of your virtualized applications and maintain non-stop business operations while reducing your capital and operating expenses.
The first part of the approach consists of aligning your storage tiers to your application requirements. This means that as a best practice you should leverage tiering across different types of storage to deliver the right balance between those applications that demand the fastest performance versus the ones that demand the largest capacity.
In fact, one way to take application performance to the next level is by introducing a new and faster tier consisting of flash memory for those data-intensive applications that require quick access to information. Fusion-io provides technologies that leverage flash memory to significantly increase datacenter efficiency with enterprise grade performance. Later on, we’ll show you some examples on how to implement and share flash across virtualized workloads to deliver faster data.
In addition to introducing a flash tier and leveraging tiering across your storage devices, it is recommended to provide a virtualized environment that can provide continuous availability to your business operations.
This can be accomplished by creating a physical separation that extendsyour cluster and expands your storage resources into a different location. This approach allows you to maintain an independent copy of your data that can be used to provide continuous access in case some type of service interruption occurs on the other end.
The best way to leverage tiering and take advantage of physical separation to provide fast performance and continuous availability for your virtualized applications is via high-performance storage virtualization. Through storage virtualization you are adding a storage hypervisor – an intelligent software layer residing between the applications and the disks that virtualizes the individual storage resources it controls and creates one or more flexible pools of storage capacity to improve their performance, availability, and utilization. The benefit of DataCore’s storage hypervisor is that it has the ability to present uniform virtual devices and services from dissimilar and incompatible hardware, even from different manufacturers, making these devices interchangeable. Continuous replacement and substitution of the underlying physical storage may take place, without altering or interrupting the virtual storage environment that is presented.
Now let us show you how a high-performance storage virtualization solution will help you speed up your virtualized applications.
Here’s how it works. A key capability of the DataCore storage virtualization software is its ability to dynamically optimize storage capacity based on which disk blocks are most frequently accessed. Let’s say you have a multi-tier pool, using bulk storage for Tier 2, fast disks for Tier 1, and the blazing-fast Fusion-io flash memory cards for Tier 0, which are renowned for accelerating response in the most demanding data-intensive environments as flash-based storage servers. The DataCore software organizes the Fusion-io cards and the other available disks into a virtual storage pool. It classifies the flash memory as the top tier, and assigns less speedy, higher density drives to lower tiers based on performance characteristics that you set. The software dynamically directs workloads to the most appropriate class of storage device, favoring the Tier 0 flash memory for high-priority demands needing very high-speed access. It relegates lower priority requests to fast disks and bulk drives, striking a balance between the blazing speed of Fusion-io flash memories and the economies of larger-capacity HDDs. Any special, high-priority workloads can also be pinned to the Fusion-io cards. At the same time, the software migrates less-frequently used blocks to the hard disk drives to avoid undesirable contention for the flash memory. This novel approach helps you avoid unnecessary spending on additional disk equipment or exotic storage devices and more importantly, it maximizes application performance.
If we take a closer look at the DataCore nodes you will notice the Fusion-io flash memories, which play an instrumental role in reducing the disk latencies often responsible for mission-critical applications running poorly.Additionally, if you already have other types of disk arrays, you can combine all of them as part of your storage pool. The Fusion-io cards can operate as the fastest member in your balanced storage hierarchy, accompanied by high-performance SAS devices and bulk SATA storage. The flash cards are dynamically selected by the auto-tiering intelligence within the DataCore software for the most critical apps. When the flash memory disk capacity is consumed with high-priority requests, less critical requests are automatically directed to the SAS devices or SATA storage depending on their relative importance.
Now let us show you how a high-performance storage virtualization solution will help you prevent storage from taking down your applications, providing continuous availability for your business operations.
Another major capability of the DataCore software is that it allows you to configure redundant storage pools by synchronously mirroring between DataCore nodes at different locations. Basically, the virtual disk is really a logical representation of a dual-ported drive except that two independent copies are being updated in real time at each location. Notice that as a best practice, it is recommended that the two storage copies reside in two separate physical locations up to 100 km apart. To better load balance these configurations, traffic is evenly spread between the two pools by equally distributing the preferred paths from the host servers across the active/activeSAN. In other words, each node is generally set up to serve as the primary resource for half of the capacity while the other covers primary responsibility for the other half.
So for example, if one of the storage pools needs to be taken out of service, or any of its devices suffers a failure, the application servers sense that they cannot reach the disks through the preferred path and automatically redirect the applications on the alternate path without disruption. That request is fielded by the redundant node using the mirrored copy. When the service is completed on the left side, any changes that transpired while absent are sent over by the right node. After they are both back in sync, then the application servers which had redirected their requests are signaled to return to their preferred paths. They repeat the same procedure at the other site if necessary, never interrupting users despite the magnitude of the change. This technique maximizes uptime.
Now let us show you a couple of real-world examples from businesses who have experienced the benefits of implementing a high-performance storage virtualization solution as part of their IT infrastructure.
The University Hospital Würzburg is one of the oldest hospitals in Germany and has been operating for over 400 years. The hospital is a research and academic center for the faculty of medicine and provides comprehensive medical care for a region of 1.5 million people. The University Hospital of Würzburg’s business runs on an SAP-based ERP Medical Information System where thousands of MDs, nurses, scientists, and administrators work on it 24/7/365.The hospital IT environment consisted of 12 SAP servers, 2 large Oracle servers, 168 hard disks and 2 large SANs for storage. However, they were facing some challenges in regards to application performance and high capital costs. More specifically, they were getting slow SAP dialog response times as well as slow update and background process times. Their end goal was to improve the SAP database and ERP system performance so the hospital could utilize new SAP and Oracle features, as well as support a growing user base. Therefore, the hospital required implementing a system that could:Deliver maximum performance and fast response times Provide reliability they could trust mission critical operations toReduce costs and scale to growth
The team decided to migrate and upgrade the entire SAP and Oracle database. After evaluating multiple solutions, they decided to move its ERP system off a physical SAN and onto a high-performance storage virtualization system. As part of the process, they took their existing environment and virtualized it. This allowed them to consolidate servers and deploy the very fast Fusion-io flash cards in DataCore nodes as part of their new storage infrastructure. The results speak for themselves. Basically, through virtualization, they were able to consolidate the number of application and database servers, reducing the number of SAP servers by half, and replacing the two large SANs and hundreds of hard disks they had with two DataCore nodes and 4 Fusion-io flash cards, providing all the storage functionality they needed. This implementation allowed the hospital to reduce the hardware and capital expenses of their existing system by 33%.
Not only the hospital was able to reduce their costs, but their SAP performance results were extraordinary. All interaction with the system is now faster. SAP dialog response times were 4.5X faster and the update times were 8.3X faster on the new system. Thanks to the Fusion-io and DataCore solution, now the hospital can provide high-quality services to the organization faster, whether users are retrieving patient data, screens are being rendered, or statistics are being calculated.The end result is many more satisfied customers. Sounds like a win-win situation to me.The full case study offers more insights into their accomplishments. --- (suggested reading) ---http://www.fusionio.com/case-studies/wurzburg/
Here’s another real-world implementation. Great Plains Communications – the largest Nebraska-owned telecommunications provider – provides telephone service, Internet hosting, digital cable television, and cloud hosting services to its customers. Their IT project was triggered by the growing needs of internal corporate apps used for maintaining all customer information, e-mail hosting, accounting, billing, and business analysis. ClickTwo major challenges they faced were slow application response times and fear of downtime due to unexpected outages or system failure. Therefore, their principal objectives were improving application performance and assuring business continuity.ClickTo address their requirements, the IT team also chose a high-performance storage virtualization solution and spread their datacenter between two locations. In other words, as part of their IT infrastructure, Great Plains Communications operates one logical datacenter split between two physical sites, about 10 miles apart with each location handling roughly half of the total workloads. Among the major virtualized applications, Great Plains Communications runs several mission-criticaldatabases, including Microsoft SQL Server. They also run Microsoft Exchange, Microsoft Lync, and LinuxMagicMagicMail.Throughout their datacenter, they use the DataCore software to virtualize the disks and mirror all data between the separate and redundant facilities in real-time. The multi-tiered storage infrastructure incorporates the latest flash memories supplied by Fusion-io alongside a variety of devices with SAS and SATA drives. ClickWith this setup, any one of the sites can automatically take over the entire corporate application load should the other site be intentionally shut down or suffer an unexpected outage. The apps use the storage closest to them, unless it is temporarily out of service. In which case, they are automatically re-directed without a glitch to the secondary facility, 10 miles away across a 10-Gigabit fiber link. This solution provided many benefits to Great Plains Communications. First, the combination of the DataCore software with the Fusion-io flash memory cards allowed them to overcome I/O bottlenecks and accelerate application response times. Secondly, the solution allowed them to provide business continuity by eliminating the downtime caused by scheduled and emergency maintenance as well as unexpected outages. Finally, the solution allowed them to reduce their costs by separating their storage hardware lifecycle from their SAN software lifecycle, essentially allowing them to extend the life of their storage arrays as well as to support the latest technologies like Fusion-io flash memory cards. Another great success story!The full case study offers more insights into their accomplishments. --- (suggested reading) ---http://www.datacore.com/Testimonials/Great-Plains-Communications.aspx
Now that we have already shared with you the value proposition of the solution as well as two real-world implementations in the healthcare and telecom industries, let us go over the recommended steps to adopt this high-performance storage virtualization solution as part of your current environment.
Let’s say your current environment consists of a set of virtualized applications in a cluster connected to a shared storage array represented by Tier 1 in the yellow square. As discussed earlier, in this type of setup your virtualized applications are competing for access to the storage disks frequently causing I/O bottlenecks and resulting in slower response times.
So in order to accelerate the performance of your virtualized applications, the first step is to introduce a new storage tier – Tier 0, consisting of the high-performance Fusion-io flash cards in conjunction with the storage virtualization capabilities of the DataCore software. In this setup you will configure the storage virtualization software to take high-priority requests from one of your business critical applications (App 1) and route them to the flash cards, which are used as the fastest dedicated storage resources in the pool. This approach allows you to compare the application performance of your original environment with the DataCore and Fusion-io technologies and see for yourself the performance improvements of the solution. Meanwhile, the rest of your virtualized applications continue to communicate directly with your Tier 1 storage.
The second step in the adoption process is to extend the capabilities of the solution by sharing the use of the flash devices between two of your virtualized applications. Again the virtualization software will take care of managing the most critical data requests from these two applications and route them directly to the flash cards. Any lower priority data requests from these two applications will be also routed to the flash cards if the capacity allows. Also, notice that all of your virtualized applications continue to communicate directly with the Tier 1 storage device. This would be a good time to evaluate the performance benefits of the solution.
After you evaluate and validate the performance improvements obtained from the DataCore and Fusion-io solution, the third step is to extend the use of the DataCore software by taking advantage of its auto-tiering capabilities.For this setup, you will connect the two virtualized applications directly into the DataCore node and use the auto-tiering capabilities of the software to help manage data requests across different storage tiers. The rest of your virtualized applications continue to be connected directly to the Tier 1 storage. By taking this approach, now you have a storage virtualization solution that will automatically optimize the resources available for these two applications by tieringacross any of the storage resources in your datacenter; those that you may have purchased in the past, as well as new technologies that you are likely to acquire in the future. This means that the hottest data requests will be automatically allocated to the top tier with the Fusion-io flash cards while the rest of the requests go to the disks in Tier 1. At this moment you can evaluate the application performance improvements of the solution as well as the efficiency of the built-in auto-tiering capabilities.
The final step is to implement full storage virtualization by connecting all your virtualized applications to the DataCore node and letting the software manage all the data requests. You can even introduce a third storage tier consisting of bulk storage, which can be used for the lower-priority requests. In this configuration, the auto-tiering intelligence of the DataCore software will automatically send the high-priority requests from the most critical applications to the top tier with Fusion-io flash cards, the medium-priority requests to the middle tier, and the low-priority ones to the lowest tier based on the criteria that you have specified.
There you have it! This is what we call our blueprint for adoption and success.
We have talked about how the combination of DataCore’s storage virtualization software and the Fusion-io flash memory cards help accelerate application performance and maximize uptime. In this animation, I will also show you how this solution also helps you reduce costs by repurposing your existing assets to maximize your investment and avoid additional costs on exotic storage devices.I’ll walk you through the staged transition from a traditional physical environment to a robust, fully virtualized infrastructure spread across separate campuses for extra resiliency. ClickThe first step you’re quite familiar with. We take the siloed workloads from the 7 machines and re-host them as virtual machines on 3 of the servers. Click ClickWe’ll install the DataCore software on a couple of the freed-up servers and add the Fusion-io flash memory cards. ClickThen we’ll move the internal data drives from the server farm behind the two nodes. Those that don’t fit inside the two nodes will be placed on external disk trays.Initially, the data on those drives is simply passed-through to the app servers as if it was merely re-attached. Later the data are mirrored and re-organized behind the scenes to take advantage of thin provisioning, auto-tiering and other storage hypervisor features. As previouslyshown, the nodes should be split so that they are not exposed to the same environmental factors; ideally on a nearby campus within the same metro area. This configuration will maximize application performance and provide continuous availability .ClickThen we’ll establish a disaster recovery (DR) site by repurposing another one of the servers, adding a Fusion-io card, and connecting it to the primary data center. Updates made to critical volumes at the primary location are automatically replicated asynchronously to the disaster recovery site. This additional configuration will support a business continuity strategy in a cost-effective way by repurposing existing equipment.And there you have it. That’s what a high-performance data delivery platform looks like.
Finally to wrap up the presentation and open it up for questions, here are the next steps you can take if you are interested in learning more about how to improve application performance by sharing flash across virtualized workloads. First, we encourage you to give us a call to get in touch with our sales professionals, obtain more information, and schedule an onsite meeting. Secondly, rethink your virtualization strategy to make sure it’s comprehensive. Our Sales Directors are available at your disposition to sit down with you, understand your needs, and build a plan together. Finally, request an assessment. Our Sales Engineers will work with you to provide a live demonstration and assess your business and technical requirements.We look forward to helping you transform your business and keep your organization competitive and well-positioned for future growth.Thank you for your time!
Now let’s open it up for questions and remember you can also contact us via our websites at www.datacore.com and www.fusionio.com. -- Use the next slide as a visual to keep during the Q&A so that the audience is not staring at a blank slide
Use this slide as a visual to keep during the Q&A so that the audience is not staring at a blank slide.