Answering the Database Scale Out Problem with PCI SSDsanswers
This document discusses using solid state drives (SSDs) to address the database scale out problem for a growing website. It summarizes the challenges of keeping site performance high while data and traffic increase. Traditional approaches like replication and query optimization were no longer sufficient. Testing Fusion-io SSDs on HP Blade servers showed dramatic improvements in queries per second, response times, replication catch-up times, and server recovery times compared to SAS HDDs. SSDs allowed scaling the database infrastructure on fewer servers, reducing operating costs by 75% while improving performance and scalability. Other potential uses of SSDs in the data center are also mentioned.
Cassandra Day SV 2014: Designing Commodity Storage in Apache CassandraDataStax Academy
As we move into the world of Big Data and the Internet of Things, the systems architectures and data models we've relied on for decades are becoming a hindrance. At the core of the problem is the read-modify-write cycle. In this session, Al will talk about how to build systems that don't rely on RMW, with a focus on Cassandra. Finally, for those times when RMW is unavoidable, he will cover how and when to use Cassandra's lightweight transactions and collections.
This document discusses caching services available on Windows Azure, including content delivery networks (CDNs) and caching. It describes how CDNs deliver content closer to end users, and caching stores frequently accessed data closer to Azure applications. Caching on Azure can be done through dedicated roles, co-location with applications, or shared caching services. The document outlines characteristics of CDNs like dedicated endpoints and worldwide datacenters. It also provides examples of caching configuration and workflows in Visual Studio and code samples for putting and getting items from the cache.
Windows Azure Virtual Machines And Virtual NetworksKristof Rennen
Join us for a tour of the features that make up the new
Windows Azure Virtual Machines and Virtual Networks
offerings. Using demonstrations throughout, we will
explain the Virtual Machine storage architecture and
show how to provision and customize virtual machines,
confi gure network connectivity between virtual machines,
and confi gure site-to-site networks that enable true
applications that span from on-premises to Windows
Azure. We’ll focus specifi cally on features that enable you
to create highly available Virtual Machine-based services
and how to connect Virtual Machines with Cloud Services.
Cassandra Day Chicago 2015: DataStax Enterprise & Apache Cassandra Hardware B...DataStax Academy
Speaker(s): Kathryn Erickson, Engineering at DataStax
During this session we will discuss varying recommended hardware configurations for DSE. We’ll get right to the point and provide quick and solid recommendations up front. After we get the main points down take a brief tour of the history of database storage and then focus on designing a storage subsystem that won't let you down.
CaSSanDra: An SSD Boosted Key-Value StoreTilmann Rabl
This presentation was held by Prashanth Menon at ICDE '14 on April 3, 2014 in Chicago, IL, USA.
The full paper and additional information is available at:
http://msrg.org/papers/Menon2013
Abstract:
With the ever growing size and complexity of enterprise systems there is a pressing need for more detailed application performance management. Due to the high data rates, traditional database technology cannot sustain the required performance. Alternatives are the more lightweight and, thus, more performant key-value stores. However, these systems tend to sacrifice read performance in order to obtain the desired write throughput by avoiding random disk access in favor of fast sequential accesses.
With the advent of SSDs, built upon the philosophy of no moving parts, the boundary between sequential vs. random access is now becoming blurred. This provides a unique opportunity to extend the storage memory hierarchy using SSDs in key-value stores. In this paper, we extensively evaluate the benefits of using SSDs in commercialized key-value stores. In particular, we
investigate the performance of hybrid SSD-HDD systems and demonstrate the benefits of our SSD caching and our novel dynamic schema model.
Answering the Database Scale Out Problem with PCI SSDsanswers
This document discusses using solid state drives (SSDs) to address the database scale out problem for a growing website. It summarizes the challenges of keeping site performance high while data and traffic increase. Traditional approaches like replication and query optimization were no longer sufficient. Testing Fusion-io SSDs on HP Blade servers showed dramatic improvements in queries per second, response times, replication catch-up times, and server recovery times compared to SAS HDDs. SSDs allowed scaling the database infrastructure on fewer servers, reducing operating costs by 75% while improving performance and scalability. Other potential uses of SSDs in the data center are also mentioned.
Cassandra Day SV 2014: Designing Commodity Storage in Apache CassandraDataStax Academy
As we move into the world of Big Data and the Internet of Things, the systems architectures and data models we've relied on for decades are becoming a hindrance. At the core of the problem is the read-modify-write cycle. In this session, Al will talk about how to build systems that don't rely on RMW, with a focus on Cassandra. Finally, for those times when RMW is unavoidable, he will cover how and when to use Cassandra's lightweight transactions and collections.
This document discusses caching services available on Windows Azure, including content delivery networks (CDNs) and caching. It describes how CDNs deliver content closer to end users, and caching stores frequently accessed data closer to Azure applications. Caching on Azure can be done through dedicated roles, co-location with applications, or shared caching services. The document outlines characteristics of CDNs like dedicated endpoints and worldwide datacenters. It also provides examples of caching configuration and workflows in Visual Studio and code samples for putting and getting items from the cache.
Windows Azure Virtual Machines And Virtual NetworksKristof Rennen
Join us for a tour of the features that make up the new
Windows Azure Virtual Machines and Virtual Networks
offerings. Using demonstrations throughout, we will
explain the Virtual Machine storage architecture and
show how to provision and customize virtual machines,
confi gure network connectivity between virtual machines,
and confi gure site-to-site networks that enable true
applications that span from on-premises to Windows
Azure. We’ll focus specifi cally on features that enable you
to create highly available Virtual Machine-based services
and how to connect Virtual Machines with Cloud Services.
Cassandra Day Chicago 2015: DataStax Enterprise & Apache Cassandra Hardware B...DataStax Academy
Speaker(s): Kathryn Erickson, Engineering at DataStax
During this session we will discuss varying recommended hardware configurations for DSE. We’ll get right to the point and provide quick and solid recommendations up front. After we get the main points down take a brief tour of the history of database storage and then focus on designing a storage subsystem that won't let you down.
CaSSanDra: An SSD Boosted Key-Value StoreTilmann Rabl
This presentation was held by Prashanth Menon at ICDE '14 on April 3, 2014 in Chicago, IL, USA.
The full paper and additional information is available at:
http://msrg.org/papers/Menon2013
Abstract:
With the ever growing size and complexity of enterprise systems there is a pressing need for more detailed application performance management. Due to the high data rates, traditional database technology cannot sustain the required performance. Alternatives are the more lightweight and, thus, more performant key-value stores. However, these systems tend to sacrifice read performance in order to obtain the desired write throughput by avoiding random disk access in favor of fast sequential accesses.
With the advent of SSDs, built upon the philosophy of no moving parts, the boundary between sequential vs. random access is now becoming blurred. This provides a unique opportunity to extend the storage memory hierarchy using SSDs in key-value stores. In this paper, we extensively evaluate the benefits of using SSDs in commercialized key-value stores. In particular, we
investigate the performance of hybrid SSD-HDD systems and demonstrate the benefits of our SSD caching and our novel dynamic schema model.
Why does my choice of storage matter with cassandra?Johnny Miller
The document discusses how the choice of storage is critical for Cassandra deployments. It summarizes that SSDs are generally the best choice as they have no moving parts, resulting in much faster performance compared to HDDs. Specifically, SSDs can eliminate issues caused by disk seeks and allow the use of compaction strategies like leveled compaction that require lower seek times. The document provides measurements showing SSDs are up to 100x faster than HDDs for read/write speeds and latency. It recommends choosing local SSD storage in a JBOD configuration when possible for best performance and manageability.
MS Cloud Day - Building web applications with Azure storageSpiffy
This document provides an overview and agenda for a Microsoft Cloud Day session on building web applications with Azure Storage. The session will cover Blob, Table, and Queue storage capabilities in Azure, including how to create storage accounts, upload and retrieve blobs, create and query tables, and use queues for communication between services. Attendees will learn best practices for scalability when using Azure Storage.
Edge performance with in memory nosql, see how you can add high performance and scalability to your application. And try out some of the possible solutions: memcached, redis and aerospike
The document discusses Windows Azure Drive, which allows mounting cloud storage as a disk volume. It describes uploading files to Azure blob storage by writing them in pages. It also covers how to work with Azure Drive, including mounting, unmounting, and retrying operations using snapshots if an exception occurs. The drive can be mounted in read-only or read-write modes, and files can be accessed directly as if they were on a local disk.
This document discusses ways to measure and improve computer drive performance. It describes average access time and data transfer rate as two key metrics of drive performance. To optimize performance, the document recommends regularly cleaning unnecessary files, scanning for and fixing disk errors, defragmenting disks, and compressing files. It also outlines common drive interface standards like EIDE, SCSI, USB, and FireWire and their characteristics.
This document discusses Azure Backup (Recovery Services) and provides an overview of its key concepts and usage scenarios. Azure Backup allows backing up of on-premises servers and virtual machines to Azure storage. It uses storage vaults mapped to Azure Blob storage to store backup recovery points. The Azure Backup Agent installs on machines to perform backups and restores and manage the backup schedule. Site Recovery allows disaster recovery between on-premises and Azure environments, or between two on-premises sites. References and contacts are provided for further information.
The document discusses security issues related to NoSQL databases. It begins with an overview of eventual consistency and how it can allow reading stale data in some situations. It then covers how NoSQL databases often have open ports and lack authentication by default. It also discusses how REST APIs can enable cross-site request forgery attacks. Additionally, it shows how injection is possible in some NoSQL databases using $where queries or request parameters. The document aims to raise awareness of security challenges in NoSQL databases compared to traditional SQL databases.
This document discusses Microsoft Azure's infrastructure as a service capabilities including provisioning virtual machines and environments, disk types, virtual networking, connectivity options like SQL Azure Data Sync and Service Bus, and hybrid public/private cloud capabilities. It also mentions Azure's DNS services and VPN connectivity options like IKE and encryption standards.
Keynote - Silicon Valley Cloud Computing User Group Meet - April 2011 - Srira...Sriram Krishnan
This document provides an overview of Windows Azure, including what it is, some of its key services and features, how it works under the covers with compute and storage clusters across global data centers, how many popular open source stacks can run on it, and examples of companies using it at scale like Bing. It also mentions that Windows Azure offers a free 30-day trial that can be accessed with a provided code.
Overview of Windows Azure Virtual Machines - the IaaS offering in the Windows Azure platform. The presentation covers the compute, storage and network features of Virtual Machines. It also describes how best to deploy Windows Azure cloud services and VMs.
This document provides an overview of Azure Storage services including Blob Storage, CDN, Drive Storage, Queue Storage, Table Storage, and File Storage. It discusses key concepts such as containers, accounts, and storage artifacts. Specific services covered in more detail include Blob Storage (block blobs, page blobs, operations), Tables (entities, partitions, queries), and Drives (durability, mounting page blobs). Performance tests demonstrate benefits of multi-threaded uploads, copy operations, and batch operations versus single operations for Blobs and Tables.
JetStor offers Microsoft certified storage solutions for Windows Storage Spaces, including JBOD enclosures with SAS connectivity. A customer reference praises the reliability and cost-effectiveness of using a JetStor JBOD with Storage Spaces over a SAN. JetStor's portfolio includes small, medium, and large enclosures to address different capacity, performance, and density needs for Storage Spaces deployments.
Internet of Things (IoT) data frequently has a location and time component. Getting value out of this "geotemporal" data can be tricky. We'll explore when and how to leverage Cassandra, DSE Search and DSE Analytics to surface meaningful information from your geotemporal data.
This document provides an overview of Microsoft Azure Media Services for encoding, packaging and streaming media. It describes Media Services' support for common input/output formats and codecs for video and audio encoding. Tasks define processing instructions for assets containing media files and associated metadata. Jobs coordinate task execution across processors. Streaming can be static via packaged files or dynamic via just-in-time encoding. Pricing is based on data processed and reserved units for parallel tasks or streaming bandwidth.
Scaling MongoDB in the cloud with Microsoft AzureIvan Fioravanti
Scaling MongoDB in the cloud with Microsoft Azure.
From my MongoDB Evening Talk of 1st April in Milan.
What we do, why, and how with MongoDB, with a lot of tips & tricks from our real life experience.
This document discusses cloud computing patterns and options for running Linux workloads on Windows Azure infrastructure as a service. It lists available virtual machine images including Windows Server, SQL Server, and Windows Server along with CentOS Linux images. A table shows the CPU cores, memory, bandwidth, and data disks available for different sized virtual machines on the infrastructure.
This document summarizes Marek Lubinski's presentation on implementing NexentaStor as the backend storage for LeaseWeb's Express Cloud platform. Initially, storage performance issues arose using Linux NFS on Supermicro servers. NexentaStor was selected for its ZFS capabilities. The initial design underestimated I/O sizes and overestimated cache hit ratios, resulting in performance problems during VM migration. Through sizing changes, such as adding RAM, SSD caching, and mirrored vdevs, a final configuration was achieved that met performance needs. Lessons included using mirrored vdevs for high demand, achieving high cache hit ratios, and testing configurations first.
This document provides guidance and best practices for using Infrastructure as a Service (IaaS) on Microsoft Azure for database workloads. It discusses key differences between IaaS, Platform as a Service (PaaS), and Software as a Service (SaaS). The document also covers Azure-specific concepts like virtual machine series, availability zones, storage accounts, and redundancy options to help architects design cloud infrastructures that meet business requirements. Specialized configurations like constrained VMs and ultra disks are also presented along with strategies for ensuring high performance and availability of database workloads on Azure IaaS.
This document discusses best practices for migrating database workloads to Azure Infrastructure as a Service (IaaS). Some key points include:
- Choosing the appropriate VM series like E or M series optimized for database workloads.
- Using availability zones and geo-redundant storage for high availability and disaster recovery.
- Sizing storage correctly based on the database's input/output needs and using premium SSDs where needed.
- Migrating existing monitoring and management tools to the cloud to provide familiarity and automating tasks like backups, patching, and problem resolution.
Why does my choice of storage matter with cassandra?Johnny Miller
The document discusses how the choice of storage is critical for Cassandra deployments. It summarizes that SSDs are generally the best choice as they have no moving parts, resulting in much faster performance compared to HDDs. Specifically, SSDs can eliminate issues caused by disk seeks and allow the use of compaction strategies like leveled compaction that require lower seek times. The document provides measurements showing SSDs are up to 100x faster than HDDs for read/write speeds and latency. It recommends choosing local SSD storage in a JBOD configuration when possible for best performance and manageability.
MS Cloud Day - Building web applications with Azure storageSpiffy
This document provides an overview and agenda for a Microsoft Cloud Day session on building web applications with Azure Storage. The session will cover Blob, Table, and Queue storage capabilities in Azure, including how to create storage accounts, upload and retrieve blobs, create and query tables, and use queues for communication between services. Attendees will learn best practices for scalability when using Azure Storage.
Edge performance with in memory nosql, see how you can add high performance and scalability to your application. And try out some of the possible solutions: memcached, redis and aerospike
The document discusses Windows Azure Drive, which allows mounting cloud storage as a disk volume. It describes uploading files to Azure blob storage by writing them in pages. It also covers how to work with Azure Drive, including mounting, unmounting, and retrying operations using snapshots if an exception occurs. The drive can be mounted in read-only or read-write modes, and files can be accessed directly as if they were on a local disk.
This document discusses ways to measure and improve computer drive performance. It describes average access time and data transfer rate as two key metrics of drive performance. To optimize performance, the document recommends regularly cleaning unnecessary files, scanning for and fixing disk errors, defragmenting disks, and compressing files. It also outlines common drive interface standards like EIDE, SCSI, USB, and FireWire and their characteristics.
This document discusses Azure Backup (Recovery Services) and provides an overview of its key concepts and usage scenarios. Azure Backup allows backing up of on-premises servers and virtual machines to Azure storage. It uses storage vaults mapped to Azure Blob storage to store backup recovery points. The Azure Backup Agent installs on machines to perform backups and restores and manage the backup schedule. Site Recovery allows disaster recovery between on-premises and Azure environments, or between two on-premises sites. References and contacts are provided for further information.
The document discusses security issues related to NoSQL databases. It begins with an overview of eventual consistency and how it can allow reading stale data in some situations. It then covers how NoSQL databases often have open ports and lack authentication by default. It also discusses how REST APIs can enable cross-site request forgery attacks. Additionally, it shows how injection is possible in some NoSQL databases using $where queries or request parameters. The document aims to raise awareness of security challenges in NoSQL databases compared to traditional SQL databases.
This document discusses Microsoft Azure's infrastructure as a service capabilities including provisioning virtual machines and environments, disk types, virtual networking, connectivity options like SQL Azure Data Sync and Service Bus, and hybrid public/private cloud capabilities. It also mentions Azure's DNS services and VPN connectivity options like IKE and encryption standards.
Keynote - Silicon Valley Cloud Computing User Group Meet - April 2011 - Srira...Sriram Krishnan
This document provides an overview of Windows Azure, including what it is, some of its key services and features, how it works under the covers with compute and storage clusters across global data centers, how many popular open source stacks can run on it, and examples of companies using it at scale like Bing. It also mentions that Windows Azure offers a free 30-day trial that can be accessed with a provided code.
Overview of Windows Azure Virtual Machines - the IaaS offering in the Windows Azure platform. The presentation covers the compute, storage and network features of Virtual Machines. It also describes how best to deploy Windows Azure cloud services and VMs.
This document provides an overview of Azure Storage services including Blob Storage, CDN, Drive Storage, Queue Storage, Table Storage, and File Storage. It discusses key concepts such as containers, accounts, and storage artifacts. Specific services covered in more detail include Blob Storage (block blobs, page blobs, operations), Tables (entities, partitions, queries), and Drives (durability, mounting page blobs). Performance tests demonstrate benefits of multi-threaded uploads, copy operations, and batch operations versus single operations for Blobs and Tables.
JetStor offers Microsoft certified storage solutions for Windows Storage Spaces, including JBOD enclosures with SAS connectivity. A customer reference praises the reliability and cost-effectiveness of using a JetStor JBOD with Storage Spaces over a SAN. JetStor's portfolio includes small, medium, and large enclosures to address different capacity, performance, and density needs for Storage Spaces deployments.
Internet of Things (IoT) data frequently has a location and time component. Getting value out of this "geotemporal" data can be tricky. We'll explore when and how to leverage Cassandra, DSE Search and DSE Analytics to surface meaningful information from your geotemporal data.
This document provides an overview of Microsoft Azure Media Services for encoding, packaging and streaming media. It describes Media Services' support for common input/output formats and codecs for video and audio encoding. Tasks define processing instructions for assets containing media files and associated metadata. Jobs coordinate task execution across processors. Streaming can be static via packaged files or dynamic via just-in-time encoding. Pricing is based on data processed and reserved units for parallel tasks or streaming bandwidth.
Scaling MongoDB in the cloud with Microsoft AzureIvan Fioravanti
Scaling MongoDB in the cloud with Microsoft Azure.
From my MongoDB Evening Talk of 1st April in Milan.
What we do, why, and how with MongoDB, with a lot of tips & tricks from our real life experience.
This document discusses cloud computing patterns and options for running Linux workloads on Windows Azure infrastructure as a service. It lists available virtual machine images including Windows Server, SQL Server, and Windows Server along with CentOS Linux images. A table shows the CPU cores, memory, bandwidth, and data disks available for different sized virtual machines on the infrastructure.
This document summarizes Marek Lubinski's presentation on implementing NexentaStor as the backend storage for LeaseWeb's Express Cloud platform. Initially, storage performance issues arose using Linux NFS on Supermicro servers. NexentaStor was selected for its ZFS capabilities. The initial design underestimated I/O sizes and overestimated cache hit ratios, resulting in performance problems during VM migration. Through sizing changes, such as adding RAM, SSD caching, and mirrored vdevs, a final configuration was achieved that met performance needs. Lessons included using mirrored vdevs for high demand, achieving high cache hit ratios, and testing configurations first.
This document provides guidance and best practices for using Infrastructure as a Service (IaaS) on Microsoft Azure for database workloads. It discusses key differences between IaaS, Platform as a Service (PaaS), and Software as a Service (SaaS). The document also covers Azure-specific concepts like virtual machine series, availability zones, storage accounts, and redundancy options to help architects design cloud infrastructures that meet business requirements. Specialized configurations like constrained VMs and ultra disks are also presented along with strategies for ensuring high performance and availability of database workloads on Azure IaaS.
This document discusses best practices for migrating database workloads to Azure Infrastructure as a Service (IaaS). Some key points include:
- Choosing the appropriate VM series like E or M series optimized for database workloads.
- Using availability zones and geo-redundant storage for high availability and disaster recovery.
- Sizing storage correctly based on the database's input/output needs and using premium SSDs where needed.
- Migrating existing monitoring and management tools to the cloud to provide familiarity and automating tasks like backups, patching, and problem resolution.
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.
- Big Green IT is a Microsoft Gold Partner that provides Azure Backup and Azure Site Recovery services.
- Azure Backup allows backing up of physical servers, virtual machines, files/folders to Azure using the Azure Backup agent, Azure Backup server, or native Azure VM backup.
- Azure Site Recovery allows replication and disaster recovery of on-premises and Azure VMs to Azure.
Eric Moreau - Samedi SQL - Backup dans Azure et BD hybridesMSDEVMTL
7 février 2015
Samedi SQL
Sujet: Session 4 - Backup dans Azure, Bases de données hybrides (Éric Moreau)
Cette session vous montrera comment prendre des backups de vos bases de données "on premises" vers Azure. Il vous montrera aussi comment utiliser des bases de données hybrides.
Get started With Microsoft Azure Virtual MachineLai Yoong Seng
The document discusses infrastructure as a service (IaaS) on Microsoft Azure, including how to use Azure storage, networking, and compute resources to deploy virtual machines. It provides an overview of key Azure services and features like virtual networks, availability sets, and disk types. The document also previews several demonstrations that will show how to create Azure storage and virtual machines.
Technical session on Databases as Service in Azure
Technical session - Azure SQL DB on Dec 20, 2020
https://youtu.be/Cl4IDpc_0yc
Technical session - 2 on Azure SQL DB - Dec 27, 2020
https://youtu.be/_4lZ54eI3F0
Technical session on Azure Cosmos DB -Dec 27, 2020
https://youtu.be/rtDwX1K_64k
This document provides guidance and best practices for migrating database workloads to infrastructure as a service (IaaS) in Microsoft Azure. It discusses choosing the appropriate virtual machine series and storage options to meet performance needs. The document emphasizes migrating the workload, not the hardware, and using cloud services to simplify management like automated patching and backup snapshots. It also recommends bringing existing monitoring and management tools to the cloud when possible rather than replacing them. The key takeaways are to understand the workload demands, choose optimal IaaS configurations, leverage cloud-enabled tools, and involve database experts when issues arise to address the root cause rather than just adding resources.
Sql Start! 2020 - SQL Server Lift & Shift su AzureMarco Obinu
Slide of the session delivered during SQL Start! 2020, where I illustrate different approaches to determine the best landing zone for you SQL Server workloads.
Video (ITA): https://youtu.be/1hqT_xHs0Qs
The document provides information about Azure disk storage options including:
- Azure now offers a Cold Tier storage option for infrequently accessed data with long-term retention needs.
- An upcoming Azure Storage Mover public preview will support migrating files and folders to Azure Storage from SMB and Azure Files sources.
- The Azure Hour schedule includes upcoming sessions on Azure Data Disks, EPIC on Azure, and Oracle on Azure.
- Standard, Premium, Ultra disks are optimized for different workloads based on performance needs including IOPS, throughput, and latency. Choosing the right disk type depends on workload requirements.
This document provides an overview of deploying and configuring Azure SQL resources. It discusses deploying SQL Server on virtual machines using various methods like the Azure portal, PowerShell scripts, and ARM templates. It also covers deploying SQL databases using the PaaS offerings like single databases, elastic pools, and hyperscale. Key aspects covered include high availability and disaster recovery options, storage configurations, licensing models, and migration strategies.
Global Azure Virtual 2020 What's new on Azure IaaS for SQL VMsMarco Obinu
Come dimensionare una VM per SQL Server in Azure IaaS, alla luce delle ultime novità della piattaforma.Sessione erogata il 24 Aprile 2020, nell'ambito del Global Azure Virtual 2020.
Video sessione: https://youtu.be/7o80CJUtnh4
Demo: https://github.com/OmegaMadLab/SqlIaasVmPlayground
ARM Template ottimizzato per SQL Server: https://github.com/OmegaMadLab/OptimizedSqlVm-v2
VMworld 2013: IBM Solutions for VMware Virtual SAN VMworld
VMworld 2013
Eric Deadwyler, IBM
Joseph Russell, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Azure VM 101 - HomeGen by CloudGen Verona - Marco ObinuMarco Obinu
Slides presented during HomeGen by CloudGen Verona, about how to properly size an Azure IaaS VM, with an additional focus on high availability and cost-saving topics.
Session recording: https://youtu.be/C8v6c6EkJ9A
Demo: https://github.com/OmegaMadLab/SqlIaasVmPlayground
The document summarizes a presentation on optimizing Linux, Windows, and Firebird for heavy workloads. It describes two customer implementations using Firebird - a medical company with 17 departments and over 700 daily users, and a repair services company with over 500 daily users. It discusses tuning the operating system, hardware, CPU, RAM, I/O, network, and Firebird configuration to improve performance under heavy loads. Specific recommendations are provided for Linux and Windows configuration.
Azure data store with storage and cosmo dbBipeen Sinha
This document discusses Azure storage options including managed disks, unmanaged disks, storage accounts, blobs, tables, queues, and page blobs. It provides details on managed vs unmanaged disks, different storage account types, performance tiers and replication options, and how various Microsoft services use Azure storage. Key points covered include that managed disks simplify storage management, storage accounts provide namespaces for objects, and blobs can store large unstructured data files for applications.
Backup and Restore SQL Server Databases in Microsoft AzureDatavail
You’ll come to understand some of the advantages of using SQL Server in Azure by examining cloud-friendly SQL Server backup methods like backup to block blobs as well as finding workarounds to real-world issue like Azure’s throughput limitations.
The document discusses various considerations for deploying applications and solutions using Microsoft Azure Virtual Machines (VMs). It covers VM sizing configurations including CPU, memory, storage, and I/O capabilities for different VM series. It also discusses deployment strategies like availability sets and resource groups. Other topics include networking, security, costs, limits, and best practices.
Windows Server 2012 Deep-Dive - EPC GroupEPC Group
Windows Server 2012 provides enterprise-class features on less expensive hardware. It delivers increased performance and scale through capabilities like Storage Spaces, SMB Direct, and failover clustering. It also offers continuous application availability, simplified manageability, and an improved hybrid cloud experience. [/SUMMARY]
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
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GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
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- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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
11. Virtual Machines and VHDs
Lift and Shift approach
Never performs like on premises!
Requires files and filegroups strategy
12. VM Disks
Traditional Approach
VHD in blob container
60 MB/s limit per blob
Blob container limits
Current Approach
Managed Disks
200 MB/s limit per disk
19. Azure SQL DB and Elastic Pools
PaaS offering
No concerns onVHDs, managed disk, throughput, etc.
Performance measure in DTUs
Requires authentication review
Almost full compatibility with on-prem SQL
No inter-database dependencies
No file management
20. Azure SQL DB
Share DTUs among multiple databases
Great for saving on costs
Does not change functionality
Slow when multiple DBs demand peak workload
25. Why are you still taking backups?
ARMANDO LACERDA
@ARLACERDA | LINKEDIN | FACEBOOK
ME@ARMANDOLACERDA.COM
LINKS ( C O N T . ) :
FILE-SNAPSHOT BACKUP
HTTPS://MSDN.MICROSOFT.COM/EN -US/LIBRARY/MT169363.ASPX
HTTPS://CHANNEL9.MSDN.COM/BLOGS/WINDOWS -AZURE/FILE-SNAPSHOT-BACKUPS-DEMO
HTTPS://MSDN.MICROSOFT.COM/EN -US/LIBRARY/DN385720.ASPX
HTTPS://MSDN.MICROSOFT.COM/EN -US/LIBRARY/MT169363.ASPX
HTTPS://MSDN.MICROSOFT.COM/EN -US/LIBRARY/DN466438.ASPX
HTTPS://MSDN.MICROSOFT.COM/LIBRARY/DN466438.ASPX
DATA PLATFORM BLOG
HTTPS://BLOGS.TECHNET.MICROSOFT.COM/DATAPLATFORMINSIDER/