AWS SAN in the Cloud delivered 26 percent higher throughput with a synthetic I/O workload and 3 percent more new orders per minute (NOPM) with an online transaction processing (OLTP) workload
Distributed storage performance for OpenStack clouds using small-file IO work...Principled Technologies
OpenStack cloud environments demand strong storage performance to handle the requests of end users. Software-based distributed storage can provide this performance while also providing much needed flexibility for storage resources.
In our tests, we found that Red Hat Storage Server better handled small-file IO workloads than did Ceph Storage, handling up to two times the number of files per second in some instances. The smallfile tool we used simulated users performing actions on their files to show the kind of end-user performance you could expect using both solutions at various node, VM, and thread counts.
These results show that Red Hat Storage Server can provide equivalent or better performance than Ceph Storage for similar workloads in OpenStack cloud environments, which can help users better access the files they keep in the cloud.
Get higher transaction throughput and better price/performance with an Amazon...Principled Technologies
In addition, the EBS gp3-backed EC2 r5b.16xlarge instance delivered a lower average transaction latency to offer more consistent transactional database performance than two Microsoft Azure E64ds_v4 VM configurations
MySQL and Spark machine learning performance on Azure VMsbased on 3rd Gen AMD...Principled Technologies
If your organization is one of the many that are shifting critical applications to the cloud, you know that cloud service providers offer a staggering number of virtual machine options. In your quest for the best performance, an important factor to consider is the processor that powers the VMs.
A single-socket Dell EMC PowerEdge R7515 solution delivered better value on a...Principled Technologies
If your company is running important business applications in VMware vSAN clusters of servers that are several years old, chances are good that you’re considering upgrading to newer hardware. Our testing demonstrated that our clusters of single-socket Dell EMC PowerEdge R7515 servers and clusters of dual-socket HPE ProLiant DL380 Gen10 servers could both improve upon the database performance of a legacy cluster with five-year-old servers by more than 50 percent, with the Dell EMC cluster achieving 93.4 percent of the performance of the HPE cluster.
Get stronger SQL Server performance for less with Dell EMC PowerEdge R6515 cl...Principled Technologies
When it comes to hardware, getting greater performance often requires spending more. In our virtualized SQL Server 2019 testing of two current-generation servers in Hyper-V clusters, however, the less expensive option delivered stronger performance on our OLTP workload.
Move your private cloud to Dell EMC PowerEdge C6420 server nodes and boost Ap...Principled Technologies
Powered by 2nd Generation Intel Xeon Scalable processors, Dell EMC PowerEdge C6420 server nodes handled 2X the operations per second of older HPE ProLiant XL170r Gen9 nodes
Move your private cloud to Dell EMC PowerEdge C6420 server nodes and boost Ap...Principled Technologies
Powered by 2nd Generation Intel Xeon Scalable processors, Dell EMC PowerEdge C6420 server nodes handled 2X the operations per second of older HPE ProLiant XL170r Gen9 nodes
Upgrade to Dell EMC PowerEdge R940 servers with VMware vSphere 7.0 and gain g...Principled Technologies
The document summarizes a study that tested online transactional processing (OLTP) performance on two server solutions: a Dell EMC PowerEdge R940 server with VMware vSphere 7.0, and a previous-generation Dell EMC PowerEdge R930 server with vSphere 6.7. The study found that the R940 solution processed over 30% more operations per minute than the R930 solution. Upgrading to the R940 platform provides benefits like more processor cores, memory, and PCIe capacity. VMware vSphere 7.0 features like vLCM could help scale Dell EMC environments, and integrating with OpenManage for vCenter allows faster updating, upgrading, and compatibility checking.
Distributed storage performance for OpenStack clouds using small-file IO work...Principled Technologies
OpenStack cloud environments demand strong storage performance to handle the requests of end users. Software-based distributed storage can provide this performance while also providing much needed flexibility for storage resources.
In our tests, we found that Red Hat Storage Server better handled small-file IO workloads than did Ceph Storage, handling up to two times the number of files per second in some instances. The smallfile tool we used simulated users performing actions on their files to show the kind of end-user performance you could expect using both solutions at various node, VM, and thread counts.
These results show that Red Hat Storage Server can provide equivalent or better performance than Ceph Storage for similar workloads in OpenStack cloud environments, which can help users better access the files they keep in the cloud.
Get higher transaction throughput and better price/performance with an Amazon...Principled Technologies
In addition, the EBS gp3-backed EC2 r5b.16xlarge instance delivered a lower average transaction latency to offer more consistent transactional database performance than two Microsoft Azure E64ds_v4 VM configurations
MySQL and Spark machine learning performance on Azure VMsbased on 3rd Gen AMD...Principled Technologies
If your organization is one of the many that are shifting critical applications to the cloud, you know that cloud service providers offer a staggering number of virtual machine options. In your quest for the best performance, an important factor to consider is the processor that powers the VMs.
A single-socket Dell EMC PowerEdge R7515 solution delivered better value on a...Principled Technologies
If your company is running important business applications in VMware vSAN clusters of servers that are several years old, chances are good that you’re considering upgrading to newer hardware. Our testing demonstrated that our clusters of single-socket Dell EMC PowerEdge R7515 servers and clusters of dual-socket HPE ProLiant DL380 Gen10 servers could both improve upon the database performance of a legacy cluster with five-year-old servers by more than 50 percent, with the Dell EMC cluster achieving 93.4 percent of the performance of the HPE cluster.
Get stronger SQL Server performance for less with Dell EMC PowerEdge R6515 cl...Principled Technologies
When it comes to hardware, getting greater performance often requires spending more. In our virtualized SQL Server 2019 testing of two current-generation servers in Hyper-V clusters, however, the less expensive option delivered stronger performance on our OLTP workload.
Move your private cloud to Dell EMC PowerEdge C6420 server nodes and boost Ap...Principled Technologies
Powered by 2nd Generation Intel Xeon Scalable processors, Dell EMC PowerEdge C6420 server nodes handled 2X the operations per second of older HPE ProLiant XL170r Gen9 nodes
Move your private cloud to Dell EMC PowerEdge C6420 server nodes and boost Ap...Principled Technologies
Powered by 2nd Generation Intel Xeon Scalable processors, Dell EMC PowerEdge C6420 server nodes handled 2X the operations per second of older HPE ProLiant XL170r Gen9 nodes
Upgrade to Dell EMC PowerEdge R940 servers with VMware vSphere 7.0 and gain g...Principled Technologies
The document summarizes a study that tested online transactional processing (OLTP) performance on two server solutions: a Dell EMC PowerEdge R940 server with VMware vSphere 7.0, and a previous-generation Dell EMC PowerEdge R930 server with vSphere 6.7. The study found that the R940 solution processed over 30% more operations per minute than the R930 solution. Upgrading to the R940 platform provides benefits like more processor cores, memory, and PCIe capacity. VMware vSphere 7.0 features like vLCM could help scale Dell EMC environments, and integrating with OpenManage for vCenter allows faster updating, upgrading, and compatibility checking.
In our tests, Cisco UCS Director provisioned servers in up to 12.9 percent less time than provisioning them manually and reduced steps by as much as 88.4 percent.
So what do our findings mean for your organization? By reducing the amount of time and number of steps it takes to provision servers with the automation of Cisco UCS Director, you can help save your systems administrators time so they can work on more strategic projects or even reduce the number of staff you require. Moving from manual provisioning to automated provisioning with Cisco UCS Director can have a significant impact on your management budget by streamlining routine tasks—and the savings could only be expected to grow along with your server count.
Boost transactional database performance of VMware vSAN clusters by replacing...Principled Technologies
Replacing older servers in a VMware vSAN cluster with new Dell EMC PowerEdge R640 servers powered by 2nd Generation Intel Xeon Scalable processors can significantly improve transactional database performance. Testing showed the new servers delivered over 7 times the orders per minute of legacy servers and over 2 times the orders per minute of previous-generation servers. Additionally, the new servers were able to handle more transactions in the same amount of rack space, helping to reduce data center costs and sprawl.
Get more out of your Windows 10 laptop experience with SSD storage instead of...Principled Technologies
Your time is precious. Choosing a laptop that loads apps and transfers data as quickly as possible is one way to make sure you get the most from your time investment. Our hands-on testing found that most users could start their day-to day activities faster with a Windows 10 laptop powered by SSD storage instead of HDD storage.
Give DevOps teams self-service resource pools within your private infrastruct...Principled Technologies
Sean, an IT operations team lead, sets up a test environment using Dell Technologies APEX Private Cloud and APEX Data Storage Services running on VMware vSphere with Tanzu to demonstrate self-service capabilities for a DevOps team. The solution allows setting up namespaces for self-service resource provisioning, virtual machine and Kubernetes cluster self-service, and storage policies. By testing the creation of Kubernetes clusters, VMs, and an application environment, the solution is shown to empower DevOps teams with self-service capabilities while maintaining controls and budgets.
The document discusses Oracle's database strategy with Oracle Database 11g. It aims to simplify IT infrastructure through consolidation, reducing costs and complexity. Key points include pooling resources for improved utilization, automated management for reduced support costs, and new capabilities for increased availability and adaptability to change.
The document discusses various disaster recovery scenarios for a BI solution involving Azure Synapse, Data Lake, and Data Share. Scenario 2 involves provisioning these services in a paired secondary region, then synchronizing the Data Lake, restoring the SQL Pool, activating Synapse pipelines, and data share triggers to enable a standby environment. A step-by-step guide is provided for implementing scenario 2 with phases for provisioning, synchronization, restore, activation of pipelines and triggers, and notification of consumers. References are also included.
Amazon Elastic Block Store (Amazon EBS) provides flexible, persistent storage volumes for use with Amazon EC2 instances. In this technical session, we conduct a detailed analysis of all types of Amazon EBS block storage including General Purpose SSD (gp2) and Provisioned IOPS SSD (io1). Along the way, we will share Amazon EBS best practices for optimizing performance, managing snapshots and securing data.
AWS provides a range of Compute Services – Amazon EC2, Amazon ECS and AWS Lambda. We will provide an intro level overview of these services and highlight suitable use cases. Amazon Elastic Compute Cloud (Amazon EC2) itself provides a broad selection of instance types to accommodate a diverse mix of workloads. Going a bit deeper on EC2 we will provide background on the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current-generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances, both from a performance and cost perspective.
It’s been an exciting year for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this deep dive session, we’ll discuss best practices and explore new features, include high availability options and new integrations with AWS services. We’ll also discuss the recently-announced Aurora with PostgreSQL compatibility.
AWS June 2016 Webinar Series - Amazon Aurora Deep Dive - Optimizing Database ...Amazon Web Services
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is a disruptive technology in the database space, bringing a new architectural model and distributed system techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share customer experiences from the field.
Learning Objectives:
Learn how Amazon Aurora delivers 5x the performance and 1/10th the cost
Learn best practices for using Amazon Aurora
This document provides an overview and update on Amazon Aurora, Amazon's relational database service. It discusses new performance enhancements including improved read performance through caching, NUMA-aware scheduling, and lock compression to reduce contention. New availability features are also summarized, such as automatic repair and replacement of failed database nodes and storage volumes that can grow to 64TB. The document outlines Aurora's architecture advantages over traditional databases for scaling in the cloud through its distributed, self-healing design.
This document discusses MongoDB sharding which involves horizontally scaling MongoDB across multiple machines or shards. It describes the components of a sharded MongoDB cluster including shards, config servers, and mongos query routers. It provides examples of when and why sharding would be used such as for large datasets, high throughput, hardware limitations, storage engine limitations, isolating failures, and separating hot and cold data. The document then outlines steps to set up a basic two node sharded cluster with one shard, three config servers, and mongos query routers on the same two machines.
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
Amazon RDS makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. In this webinar, we'll discuss practical ways of migrating applications to Amazon RDS for Oracle. Customer case studies will illustrate how customers moved to Amazon RDS for Oracle and how they benefited.
OCI Storage Services provides different types of storage for various use cases:
- Local NVMe SSD storage provides high-performance temporary storage that is not persistent.
- Block Volume storage provides durable block-level storage for applications requiring SAN-like features through iSCSI. Volumes can be resized, backed up, and cloned.
- File Storage Service provides shared file systems accessible over NFSv3 that are durable and suitable for applications like EBS and HPC workloads.
The document discusses using Dell EMC Isilon all-flash storage for SAS GRID workloads. It describes a test of the Isilon F810 node with hardware-accelerated compression using a multi-user SAS analytics workload. The testing focused on performance, scalability, compression benefits, deduplication savings, and cost when running the workload on an Isilon cluster with up to 12 grid nodes and comparing results with and without enabling various compression options.
Get insight from document-based distributed MongoDB databases sooner and have...Principled Technologies
With additional drive bays and 2nd Generation Intel Xeon Scalable processors, Dell EMC PowerEdge R640 servers handled more Yahoo Cloud Serving Benchmark (YCSB) operations per second than previous-generation servers and handled them more efficiently
20+ Million Records a Second - Running Kafka on Isilon F800 Boni Bruno
The document summarizes performance test results for running Apache Kafka with Dell EMC Isilon F800 All-Flash NAS storage compared to direct attached storage. In the first test, a single producer was able to write 50 million 100 byte records to a topic with no replication at a rate of over 1.2 million records/second on direct attached storage and over 1.4 million records/second on the Isilon storage. Subsequent tests showed the Isilon storage able to handle multiple producers and consumers at rates of over 20 million records/second, with lower latency than direct attached storage. The Isilon storage was also able to withstand stress testing at high throughput levels.
The document discusses Amazon Web Services (AWS) and provides information about Elastic Block Store (EBS) storage volumes. It defines EBS and describes the two types of EBS volumes: standard storage volumes and Provisioned IOPS volumes. Standard volumes provide moderate throughput and are suitable for sequential workloads, while Provisioned IOPS volumes offer consistent performance required for input/output intensive applications. The document also provides some AWS CLI commands and terminology related to EBS volumes.
In our tests, Cisco UCS Director provisioned servers in up to 12.9 percent less time than provisioning them manually and reduced steps by as much as 88.4 percent.
So what do our findings mean for your organization? By reducing the amount of time and number of steps it takes to provision servers with the automation of Cisco UCS Director, you can help save your systems administrators time so they can work on more strategic projects or even reduce the number of staff you require. Moving from manual provisioning to automated provisioning with Cisco UCS Director can have a significant impact on your management budget by streamlining routine tasks—and the savings could only be expected to grow along with your server count.
Boost transactional database performance of VMware vSAN clusters by replacing...Principled Technologies
Replacing older servers in a VMware vSAN cluster with new Dell EMC PowerEdge R640 servers powered by 2nd Generation Intel Xeon Scalable processors can significantly improve transactional database performance. Testing showed the new servers delivered over 7 times the orders per minute of legacy servers and over 2 times the orders per minute of previous-generation servers. Additionally, the new servers were able to handle more transactions in the same amount of rack space, helping to reduce data center costs and sprawl.
Get more out of your Windows 10 laptop experience with SSD storage instead of...Principled Technologies
Your time is precious. Choosing a laptop that loads apps and transfers data as quickly as possible is one way to make sure you get the most from your time investment. Our hands-on testing found that most users could start their day-to day activities faster with a Windows 10 laptop powered by SSD storage instead of HDD storage.
Give DevOps teams self-service resource pools within your private infrastruct...Principled Technologies
Sean, an IT operations team lead, sets up a test environment using Dell Technologies APEX Private Cloud and APEX Data Storage Services running on VMware vSphere with Tanzu to demonstrate self-service capabilities for a DevOps team. The solution allows setting up namespaces for self-service resource provisioning, virtual machine and Kubernetes cluster self-service, and storage policies. By testing the creation of Kubernetes clusters, VMs, and an application environment, the solution is shown to empower DevOps teams with self-service capabilities while maintaining controls and budgets.
The document discusses Oracle's database strategy with Oracle Database 11g. It aims to simplify IT infrastructure through consolidation, reducing costs and complexity. Key points include pooling resources for improved utilization, automated management for reduced support costs, and new capabilities for increased availability and adaptability to change.
The document discusses various disaster recovery scenarios for a BI solution involving Azure Synapse, Data Lake, and Data Share. Scenario 2 involves provisioning these services in a paired secondary region, then synchronizing the Data Lake, restoring the SQL Pool, activating Synapse pipelines, and data share triggers to enable a standby environment. A step-by-step guide is provided for implementing scenario 2 with phases for provisioning, synchronization, restore, activation of pipelines and triggers, and notification of consumers. References are also included.
Amazon Elastic Block Store (Amazon EBS) provides flexible, persistent storage volumes for use with Amazon EC2 instances. In this technical session, we conduct a detailed analysis of all types of Amazon EBS block storage including General Purpose SSD (gp2) and Provisioned IOPS SSD (io1). Along the way, we will share Amazon EBS best practices for optimizing performance, managing snapshots and securing data.
AWS provides a range of Compute Services – Amazon EC2, Amazon ECS and AWS Lambda. We will provide an intro level overview of these services and highlight suitable use cases. Amazon Elastic Compute Cloud (Amazon EC2) itself provides a broad selection of instance types to accommodate a diverse mix of workloads. Going a bit deeper on EC2 we will provide background on the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current-generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances, both from a performance and cost perspective.
It’s been an exciting year for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this deep dive session, we’ll discuss best practices and explore new features, include high availability options and new integrations with AWS services. We’ll also discuss the recently-announced Aurora with PostgreSQL compatibility.
AWS June 2016 Webinar Series - Amazon Aurora Deep Dive - Optimizing Database ...Amazon Web Services
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is a disruptive technology in the database space, bringing a new architectural model and distributed system techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share customer experiences from the field.
Learning Objectives:
Learn how Amazon Aurora delivers 5x the performance and 1/10th the cost
Learn best practices for using Amazon Aurora
This document provides an overview and update on Amazon Aurora, Amazon's relational database service. It discusses new performance enhancements including improved read performance through caching, NUMA-aware scheduling, and lock compression to reduce contention. New availability features are also summarized, such as automatic repair and replacement of failed database nodes and storage volumes that can grow to 64TB. The document outlines Aurora's architecture advantages over traditional databases for scaling in the cloud through its distributed, self-healing design.
This document discusses MongoDB sharding which involves horizontally scaling MongoDB across multiple machines or shards. It describes the components of a sharded MongoDB cluster including shards, config servers, and mongos query routers. It provides examples of when and why sharding would be used such as for large datasets, high throughput, hardware limitations, storage engine limitations, isolating failures, and separating hot and cold data. The document then outlines steps to set up a basic two node sharded cluster with one shard, three config servers, and mongos query routers on the same two machines.
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
Amazon RDS makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. In this webinar, we'll discuss practical ways of migrating applications to Amazon RDS for Oracle. Customer case studies will illustrate how customers moved to Amazon RDS for Oracle and how they benefited.
OCI Storage Services provides different types of storage for various use cases:
- Local NVMe SSD storage provides high-performance temporary storage that is not persistent.
- Block Volume storage provides durable block-level storage for applications requiring SAN-like features through iSCSI. Volumes can be resized, backed up, and cloned.
- File Storage Service provides shared file systems accessible over NFSv3 that are durable and suitable for applications like EBS and HPC workloads.
The document discusses using Dell EMC Isilon all-flash storage for SAS GRID workloads. It describes a test of the Isilon F810 node with hardware-accelerated compression using a multi-user SAS analytics workload. The testing focused on performance, scalability, compression benefits, deduplication savings, and cost when running the workload on an Isilon cluster with up to 12 grid nodes and comparing results with and without enabling various compression options.
Get insight from document-based distributed MongoDB databases sooner and have...Principled Technologies
With additional drive bays and 2nd Generation Intel Xeon Scalable processors, Dell EMC PowerEdge R640 servers handled more Yahoo Cloud Serving Benchmark (YCSB) operations per second than previous-generation servers and handled them more efficiently
20+ Million Records a Second - Running Kafka on Isilon F800 Boni Bruno
The document summarizes performance test results for running Apache Kafka with Dell EMC Isilon F800 All-Flash NAS storage compared to direct attached storage. In the first test, a single producer was able to write 50 million 100 byte records to a topic with no replication at a rate of over 1.2 million records/second on direct attached storage and over 1.4 million records/second on the Isilon storage. Subsequent tests showed the Isilon storage able to handle multiple producers and consumers at rates of over 20 million records/second, with lower latency than direct attached storage. The Isilon storage was also able to withstand stress testing at high throughput levels.
The document discusses Amazon Web Services (AWS) and provides information about Elastic Block Store (EBS) storage volumes. It defines EBS and describes the two types of EBS volumes: standard storage volumes and Provisioned IOPS volumes. Standard volumes provide moderate throughput and are suitable for sequential workloads, while Provisioned IOPS volumes offer consistent performance required for input/output intensive applications. The document also provides some AWS CLI commands and terminology related to EBS volumes.
The document discusses Amazon Aurora, Amazon's cloud-optimized relational database. It provides an overview of Aurora's architecture, which breaks apart the traditional monolithic database stack into separate services for improved scalability. The document announces that Amazon Aurora now provides compatibility with PostgreSQL in addition to MySQL. It describes Aurora's high performance and availability compared to open source databases like PostgreSQL through its use of Amazon's cloud-optimized storage.
This report compares the block storage performance of AWS, Digital Ocean, OVH, DreamHost, and several StorPool-based cloud offerings. A variety of benchmarks were used, including PGBENCH, Sysbench, fio, and rsync. The results showed extreme differences in performance between the block storage offerings, with StorPool-based clouds significantly outperforming the other providers in most tests, especially for latency-sensitive workloads. Further tests showed that IOPS limits can control throughput but not latency, and that a lower-priced AWS volume with a 3,000 IOPS limit outperformed a Digital Ocean volume with a higher 7,500-10,000 IOPS limit.
Scale up your storage with higher-performing Dell APEX Block Storage for AWSPrincipled Technologies
Dell APEX Block Storage for AWS offered stronger and more consistent storage performance for better business agility than a Vendor A solution
Conclusion
Enterprises desiring the flexibility and convenience of the cloud for their block storage workloads can find fast-performing solutions with the enterprise storage features they’re used to in on-premises infrastructure by selecting Dell APEX Block Storage for AWS.
Our hands-on tests showed that compared to the Vendor A solution, Dell APEX Block Storage for AWS offered stronger, more consistent storage performance in both NVMe-supported and EBS-backed configurations. Using NVMe-supported configurations, Dell APEX Block Storage for AWS achieved 4.7x the random read IOPS and 5.1x the throughput on sequential read operations per node vs. Vendor A. In our EBS-backed comparison, Dell APEX Block Storage for AWS offered 2.2x the throughput per node on sequential read operations vs. Vendor A.
Plus, the ability to scale beyond three nodes—up to 512 storage nodes with capacity of up to 8 PBs—enables Dell APEX Block Storage for AWS to help ensure performance and capacity as your team plans for the future.
Amazon EC2 Instances, Featuring Performance Optimisation Best PracticesAmazon Web Services
This document provides an overview of Amazon EC2. It discusses the different types of EC2 instances optimized for various workloads like compute, memory, storage and graphics. It also covers key EC2 services like Elastic Block Store, Virtual Private Cloud, Placement Groups, Elastic Load Balancing and Auto Scaling. The document reviews EC2 purchasing options including On-Demand, Reserved and Spot instances. It emphasizes optimizing costs by combining these options based on workload requirements.
Get lower latency for NoSQL workloads in the cloud with Azure Cosmos DB for N...Principled Technologies
Azure Cosmos DB delivered lower latency at a lower solution cost in most cases than Amazon DynamoDB
When we compared the latency of Azure Cosmos DB to that of Amazon DynamoDB, we found that the Azure Cosmos DB solution outperformed the Amazon DynamoDB solution in all but one instance, where the difference was statistically insignificant. Plus, we found that the Azure Cosmos DB solution was more affordable than the Amazon DynamoDB solution in most instances. In the two instances where the Amazon DynamoDB solution was cheaper, the Azure Cosmos DB solution provided better latency processing those workloads. At a target rate of 1,000,000 OPS the Azure Cosmos DB solution offered 3.15 ms latencies (100 percent read) and 12.8 ms latencies (100 percent write) at the 99th percentile, which suggests that the solution can efficiently scale and handle a high number of queries with minimal delay or interruption.
(DAT303) Oracle on AWS and Amazon RDS: Secure, Fast, and ScalableAmazon Web Services
AWS and Amazon RDS provide advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle database workloads. Learn best practices for realizing the benefits of the cloud while reducing costs, by running Oracle on AWS in a variety of single- and multi-instance topologies. This session teaches you to take advantage of features unique to AWS and Amazon RDS to free your databases from the confines of the conventional data center.
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
NEW LAUNCH! Introducing PostgreSQL compatibility for Amazon AuroraAmazon Web Services
After we launched Amazon Aurora, a cloud-native relational database with region-wide durability, high availability, fast failover, up to 15 read replicas, and up to five times the performance of MySQL, many of you asked us whether we could deliver the same features - but with PostgreSQL compatibility. We are now delivering a preview of Amazon Aurora with this functionality: we have built a PostgreSQL-compatible edition of Amazon Aurora, sharing the core Amazon Aurora innovations with the object-oriented capabilities, language interfaces, JSON compatibility, ANSI:SQL:2008 compliance, and broad functional richness of PostgreSQL. Amazon Aurora will provide full PostgreSQL compatibility while delivering more than twice the performance of the community PostgreSQL database on many workloads. At this session, we will be discussing the newest addition to Amazon Aurora in detail.
This document summarizes a presentation about Ceph, an open-source distributed storage system. It discusses Ceph's introduction and components, benchmarks Ceph's block and object storage performance on Intel architecture, and describes optimizations like cache tiering and erasure coding. It also outlines Intel's product portfolio in supporting Ceph through optimized CPUs, flash storage, networking, server boards, software libraries, and contributions to the open source Ceph community.
Ceph: Open Source Storage Software Optimizations on Intel® Architecture for C...Odinot Stanislas
Après la petite intro sur le stockage distribué et la description de Ceph, Jian Zhang réalise dans cette présentation quelques benchmarks intéressants : tests séquentiels, tests random et surtout comparaison des résultats avant et après optimisations. Les paramètres de configuration touchés et optimisations (Large page numbers, Omap data sur un disque séparé, ...) apportent au minimum 2x de perf en plus.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
This document provides an overview of Amazon Aurora and discusses its performance advantages over traditional databases. Aurora delivers the performance and availability of commercial databases at 1/10th the cost by leveraging simple open source architecture. The document describes how Aurora achieves high performance through its distributed, asynchronous architecture and integration with other AWS services. It also discusses how Aurora provides high availability through its quorum-based storage system and ability to handle failures without stopping writes or restarting the database. Finally, the document shares benchmark results and customer use cases that demonstrate Aurora's ability to scale to large workloads and datasets at significantly lower costs than alternative solutions.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
The Apache Spark config behind the indsutry's first 100TB Spark SQL benchmarkLenovo Data Center
Some configurations deserve their own SlideShare entry: this is one of them. When the indsutry's first 100TB Spark SQL benchmark was reached, the media took notice. For good reason.
Intel, Mellanox, Lenovo and IBM came together to investigate a topology that leveraged advances in CPU, memory, storage and networking to assess the readiness of Spark SQL to harness new capabilities -- and speeds.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Similar to Performance benchmark results: Amazon Web Services (AWS) SAN in the Cloud vs. comparable on-premises all-flash SAN solution (20)
Help skilled workers succeed with Dell Latitude 7030 and 7230 Rugged Extreme ...Principled Technologies
Instead of equipping consumer-grade tablets with rugged cases
Conclusion
In our hands-on testing, the Dell Latitude 7030 and 7230 Rugged Extreme Tablets showed that they are better equipped to help skilled workers than consumer-grade Apple iPad Pro and Samsung Galaxy Tab S9 tablets in multiple ways. They provide more built-in capabilities and features than the consumer-grade tablets we tested. And, while they were more expensive than the rugged-case fortified consumer-grade options we tested, their rugged claims were more than skin deep.
In our performance and durability tests, the Dell Latitude 7030 and 7230 Rugged Extreme Tablets performed better in demanding manufacturing, logistics, and field service environments than consumer-grade tablets with rugged cases. Both Rugged Extreme Tablets, with their greater thermal range, suffered less performance degradation in extreme temperatures, never failed and were merely scuffed after 26 hard drops, survived a 10 minute drenching with no ill effects, and were easier to view in direct sunlight than Apple iPad Pro and Samsung Galaxy Tab S9 tablets.
Bring ideas to life with the HP Z2 G9 Tower Workstation - InfographicPrincipled Technologies
We compared CPU performance and noise output of an HP Z2 G9 Tower Workstation in High Performance Mode to a similarly configured Dell Precision 3660 Tower Workstation in its out-of-box performance mode
Investing in GenAI: Cost‑benefit analysis of Dell on‑premises deployments vs....Principled Technologies
Conclusion
Diving into the world of GenAI has the potential to yield a great many benefits for your organization, but it first requires consideration for how best to implement those GenAI workloads. Whether your AI goals are to create a chatbot for online visitors, generate marketing materials, aid troubleshooting, or something else, implementing an AI solution requires careful planning and decision-making. A major decision is whether to host GenAI in the cloud or keep your data on premises. Traditional on-premises solutions can provide superior security and control, a substantial concern when dealing with large amounts of potentially sensitive data. But will supporting a GenAI solution on site be a drain on an organization’s IT budget?
In our research, we found that the value proposition is just the opposite: Hosting GenAI workloads on premises, either in a traditional Dell solution or using a managed Dell APEX pay-per-use solution, could significantly lower your GenAI costs over 3 years compared to hosting these workloads in the cloud. In fact, we found that a comparable AWS SageMaker solution would cost up to 3.8 times as much and an Azure ML solution would cost up to 3.6 times as much as GenAI on a Dell APEX pay-per-use solution. These results show that organizations looking to implement GenAI and reap the business benefits to come can find many advantages in an on-premises Dell solution, whether they opt to purchase and manage it themselves or choose a subscription-based Dell APEX pay-per-use solution. Choosing an on-premises Dell solution could save your organization significantly over hosting GenAI in the cloud, while giving you control over the security and privacy of your data as well as any updates and changes to the environment, and while ensuring your environment is managed consistently.
Workstations powered by Intel can play a vital role in CPU-intensive AI devel...Principled Technologies
In three AI development workflows, Intel processor-powered workstations delivered strong performance, without using their GPUs, making them a good choice for this part of the AI process
Conclusion
We executed three AI development workflows on tower workstations and mobile workstations from three vendors, with each workflow utilizing only the Intel CPU cores, and found that these platforms were suitable for carrying out various AI tasks. For two of the workflows, we learned that completing the tasks on the tower workstations took roughly half as much time as on the mobile workstations. This supports the idea that the tower workstations would be appropriate for a development environment for more complex models with a greater volume of data and that the mobile workstations would be well-suited for data scientists fine-tuning simpler models. In the third workflow, we explored tower workstation performance with different precision levels and learned that using 16-bit floating point precision allowed the workstations to execute the workflow in less time and also reduced memory usage dramatically. For all three AI workflows we executed, we consider the time the workstations needed to complete the tasks to be acceptable, and believe that these workstations can be appropriate, cost-effective choices for these kinds of activities.
Enable security features with no impact to OLTP performance with Dell PowerEd...Principled Technologies
Get comparable online transaction processing (OLTP) performance with or without enabling AMD Secure Memory Encryption and AMD Secure Encrypted Virtualization - Encrypted State
Conclusion
You’ve likely already implemented many security measures for your servers, which may include physical security for the data center, hardware-level security, and software-level security. With the cost of data breaches high and still growing, however, wise IT teams will consider what additional security measures they may be able to implement.
AMD SME and SEV-ES are technologies that are already available within your AMD processor-powered 16th Generation Dell PowerEdge servers—and in our testing, we saw that they can offer extra layers of security without affecting performance. We compared the online transaction processing performance of a Dell PowerEdge R7625 server, powered by AMD EPYC 9274F processors, with and without these two security features enabled. We found that enabling AMD Secure Memory Encryption and Secure Encrypted Virtualization-Encrypted State did not impact performance at all.
If your team is assessing areas where you might be able to enhance security—without paying a large performance cost—consider enabling AME SME and AMD SEV-ES in your Dell PowerEdge servers.
Improving energy efficiency in the data center: Endure higher temperatures wi...Principled Technologies
In high-temperature test scenarios, a Dell PowerEdge HS5620 server continued running an intensive workload without component warnings or failures, while a Supermicro SYS‑621C-TN12R server failed
Conclusion: Remain resilient in high temperatures with the Dell PowerEdge HS5620 to help increase efficiency
Increasing your data center’s temperature can help your organization make strides in energy efficiency and cooling cost savings. With servers that can hold up to these higher everyday temperatures—as well as high temperatures due to unforeseen circumstances—your business can continue to deliver the performance your apps and clients require.
When we ran an intensive floating-point workload on a Dell PowerEdge HS5620 and a Supermicro SYS-621CTN12R in three scenario types simulating typical operations at 25°C, a fan failure, and an HVAC malfunction, the Dell server experienced no component warnings or failures. In contrast, the Supermicro server experienced warnings in all three scenario types and experienced component failures in the latter two tests, rendering the system unusable. When we inspected and analyzed each system, we found that the Dell PowerEdge HS5620 server’s motherboard layout, fans, and chassis offered cooling design advantages.
For businesses aiming to meet sustainability goals by running hotter data centers, as well as those concerned with server cooling design, the Dell PowerEdge HS5620 is a strong contender to take on higher temperatures during day-to-day operations and unexpected malfunctions.
Dell APEX Cloud Platform for Red Hat OpenShift: An easily deployable and powe...Principled Technologies
The 4th Generation Intel Xeon Scalable processor‑powered solution deployed in less than two hours and ran a Kubernetes container-based generative AI workload effectively
Dell APEX Cloud Platform for Red Hat OpenShift: An easily deployable and powe...Principled Technologies
The 4th Generation Intel Xeon Scalable processor‑powered solution deployed in less than two hours and ran a generative AI workload effectively
Conclusion
The appeal of incorporating GenAI into your organization’s operations is likely great. Getting started with an efficient solution for your next LLM workload or application can seem daunting because of the changing hardware and software landscape, but Dell APEX Cloud Platform for Red Hat OpenShift powered by 4th Gen Intel Xeon Scalable processors could provide the solution you need. We started with a Dell Validated Design as a reference, and then went on to modify the deployment as necessary for our Llama 2 workload. The Dell APEX Cloud Platform for Red Hat OpenShift solution worked well for our LLM, and by using this deployment guide in conjunction with numerous Dell documents and some flexibility, you could be well on your way to innovating your next GenAI breakthrough.
Upgrade your cloud infrastructure with Dell PowerEdge R760 servers and VMware...Principled Technologies
Compared to a cluster of PowerEdge R750 servers running VMware Cloud Foundation (VCF)
For organizations running clusters of moderately configured, older Dell PowerEdge servers with a previous version of VCF, upgrading to better-configured modern servers can provide a significant performance boost and more.
Upgrade your cloud infrastructure with Dell PowerEdge R760 servers and VMware...Principled Technologies
Compared to a cluster of PowerEdge R750 servers running VMware Cloud Foundation 4.5
If your company is struggling with underperforming infrastructure, upgrading to 16th Generation Dell PowerEdge servers running VCF 5.1 could be just what you need to handle more database throughput and reduce vSAN latencies. As an additional benefit to IT admins, we also found that the embedded VMware Aria Operation adapter provided useful infrastructure insights.
Realize 2.1X the performance with 20% less power with AMD EPYC processor-back...Principled Technologies
Three AMD EPYC processor-based two-processor solutions outshined comparable Intel Xeon Scalable processor-based solutions by handling more Redis workload transactions and requests while consuming less power
Conclusion
Performance and energy efficiency are significant factors in processor selection for servers running data-intensive workloads, such as Redis. We compared the Redis performance and energy consumption of a server cluster in three AMD EPYC two-processor configurations against that of a server cluster in two Intel Xeon Scalable two-processor configurations. In each of our three test scenarios, the server cluster backed by AMD EPYC processors outperformed the server cluster backed by Intel Xeon Scalable processors. In addition, one of the AMD EPYC processor-based clusters consumed 20 percent less power than its Intel Xeon Scalable processor-based counterpart. Combining these measurements gave us power efficiency metrics that demonstrate how valuable AMD EPYC processor-based servers could be—you could see better performance per watt with these AMD EPYC processor-based server clusters and potentially get more from your Redis or other data intensive applications and workloads while reducing data center power costs.
Improve performance and gain room to grow by easily migrating to a modern Ope...Principled Technologies
We deployed this modern environment, then migrated database VMs from legacy servers and saw performance improvements that support consolidation
Conclusion
If your organization’s transactional databases are running on gear that is several years old, you have much to gain by upgrading to modern servers with new processors and networking components and an OpenShift environment. In our testing, a modern OpenShift environment with a cluster of three Dell PowerEdge R7615 servers with 4th Generation AMD EPYC processors and high-speed 100Gb Broadcom NICs outperformed a legacy environment with MySQL VMs running on a cluster of three Dell PowerEdge R7515 servers with 3rd Generation AMD EPYC processors and 25Gb Broadcom NICs. We also easily migrated a VM from the legacy environment to the modern environment, with only a few steps required to set up and less than ten minutes of hands-on time. The performance advantage of the modern servers would allow a company to reduce the number of servers necessary to perform a given amount of database work, thus lowering operational expenditures such as power and cooling and IT staff time for maintenance. The high-speed 100Gb Broadcom NICs in this solution also give companies better network performance and networking capacity to grow as they embrace emerging technologies such as AI that put great demands on networks.
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
With more memory available, system performance of three Dell devices increased, which can translate to a better user experience
Conclusion
When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Principled Technologies
A Principled Technologies deployment guide
Conclusion
Deploying VMware Cloud Foundation 5.1 on next gen Dell PowerEdge servers brings together critical virtualization capabilities and high-performing hardware infrastructure. Relying on our hands-on experience, this deployment guide offers a comprehensive roadmap that can guide your organization through the seamless integration of advanced VMware cloud solutions with the performance and reliability of Dell PowerEdge servers. In addition to the deployment efficiency, the Cloud Foundation 5.1 and PowerEdge solution delivered strong performance while running a MySQL database workload. By leveraging VMware Cloud Foundation 5.1 and PowerEdge servers, you could help your organization embrace cloud computing with confidence, potentially unlocking a new level of agility, scalability, and efficiency in your data center operations.
Upgrade your cloud infrastructure with Dell PowerEdge R760 servers and VMware...Principled Technologies
Compared to a cluster of PowerEdge R750 servers running VMware Cloud Foundation 4.5
Conclusion
If your company is struggling with underperforming infrastructure, upgrading to 16th Generation Dell PowerEdge servers running VCF 5.1 could be just what you need to handle more database throughput and reduce vSAN latencies. We found that a Dell PowerEdge R760 server cluster running VCF 5.1 processed over 78 percent more TPM and 79 percent more NOPM than a Dell PowerEdge R750 server cluster running VCF 4.5. It’s also worth noting that the PowerEdge R750 cluster bottlenecked on vSAN storage, with max write latency at 8.9ms. For reference, the PowerEdge R760 cluster clocked in at 3.8ms max write latency. This higher latency is due in part to the single disk group per host on the moderately configured PowerEdge R750 cluster, while the better-configured PowerEdge R760 cluster supported four disk groups per host. As an additional benefit to IT admins, we also found that the embedded VMware Aria Operation adapter provided useful infrastructure insights.
Based on our research using publicly available materials, it appears that Dell supports nine of the ten PC security features we investigated, HP supports six of them, and Lenovo supports three features.
Increase security, sustainability, and efficiency with robust Dell server man...Principled Technologies
Compared to the Supermicro management portfolio
Conclusion
Choosing a vendor for server purchases is about more than just the hardware platform. Decision-makers must also consider more long-term concerns, including system/data security, energy efficiency, and ease of management. These concerns make the systems management tools a vendor offers as important as the hardware.
We investigated the features and capabilities of server management tools from Dell and Supermicro, comparing Dell iDRAC9 against Supermicro IPMI for embedded server management and Dell OpenManage Enterprise and CloudIQ against Supermicro Server Manager for one-to-many device and console management and monitoring. We found that the Dell management tools provided more comprehensive security, sustainability, and management/monitoring features and capabilities than Supermicro servers did. In addition, Dell tools automated more tasks to ease server management, resulting in significant time savings for administrators versus having to do the same tasks manually with Supermicro tools.
When making a server purchase, a vendor’s associated management products are critical to protect data, support a more sustainable environment, and to ease the maintenance of systems. Our tests and research showed that the Dell management portfolio for PowerEdge servers offered more features to help organizations meet these goals than the comparable Supermicro management products.
Increase security, sustainability, and efficiency with robust Dell server man...Principled Technologies
Compared to the Supermicro management portfolio
Conclusion
Choosing a vendor for server purchases is about more than just the hardware platform. Decision-makers must also consider more long-term concerns, including system/data security, energy efficiency, and ease of management. These concerns make the systems management tools a vendor offers as important as the hardware.
We investigated the features and capabilities of server management tools from Dell and Supermicro, comparing Dell iDRAC9 against Supermicro IPMI for embedded server management and Dell OpenManage Enterprise and CloudIQ against Supermicro Server Manager for one-to-many device and console management and monitoring. We found that the Dell management tools provided more comprehensive security, sustainability, and management/monitoring features and capabilities than Supermicro servers did. In addition, Dell tools automated more tasks to ease server management, resulting in significant time savings for administrators versus having to do the same tasks manually with Supermicro tools.
When making a server purchase, a vendor’s associated management products are critical to protect data, support a more sustainable environment, and to ease the maintenance of systems. Our tests and research showed that the Dell management portfolio for PowerEdge servers offered more features to help organizations meet these goals than the comparable Supermicro management products.
Scale up your storage with higher-performing Dell APEX Block Storage for AWS ...Principled Technologies
In our tests, Dell APEX Block Storage for AWS outperformed similarly configured solutions from Vendor A, achieving more IOPS, better throughput, and more consistent performance on both NVMe-supported configurations and configurations backed by Elastic Block Store (EBS) alone.
Dell APEX Block Storage for AWS supports a full NVMe backed configuration, but Vendor A doesn’t—its solution uses EBS for storage capacity and NVMe as an extended read cache—which means APEX Block Storage for AWS can deliver faster storage performance.
Get in and stay in the productivity zone with the HP Z2 G9 Tower WorkstationPrincipled Technologies
We compared CPU performance and noise output of an HP Z2 G9 Tower Workstation in High Performance Mode to Dell Precision 3660 and 5860 tower workstations in optimized performance modes
Conclusion
HP Z2 G9 Tower Workstation users can change the BIOS settings to dial in the performance mode that best suits their needs: High Performance Mode, Performance Mode, or Quiet Mode. In good
news for both creative and technical professionals, we found that an Intel Core i9-13900 processor-powered HP Z2 G9 Tower Workstation set to High Performance mode received higher CPU-based benchmark scores than both a similarly configured Dell Precision 3660 and a Dell Precision 5860 equipped with an Intel Xeon w5-2455x processor. Plus, the HP Z2 G9 Tower Workstation was quieter while running CPU-intensive Cinebench 2024 and SPECapc for Solidworks 2022 workloads than both Dell Precision tower workstations. This means HP Z2 G9 Tower Workstation users who prize performance over everything else can do so without sacrificing a quiet workspace.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
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
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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!
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Performance benchmark results: Amazon Web Services (AWS) SAN in the Cloud vs. comparable on-premises all-flash SAN solution
1. Performance benchmark results: Amazon Web Services
(AWS) SAN in the Cloud vs. comparable on-premises
all‑flash SAN solution
AWS SAN in the Cloud delivered 26 percent higher throughput with
a synthetic I/O workload and 3 percent more new orders per minute
(NOPM) with an online transaction processing (OLTP) workload
Many organizations choose on-premises storage area networks (SAN) because of their significant
capacity, performance for transactional database workloads, and reliability. However, SAN solutions
can be complex to manage and present challenges in maintaining performance while increasing
capacity. To address these challenges, Amazon Web Services (AWS) now offers an on-demand SAN
in the Cloud solution for workloads requiring low latency and high throughput. The AWS SAN in the
Cloud configuration we tested consisted of Amazon Elastic Block Storage (EBS) io2 Block Express
volumes and Amazon Elastic Cloud Computing (EC2) R5b.24xlarge instances.
We ran benchmarking tests to compare database performance of our AWS SAN in the Cloud
solution and an on-premises SAN storage solution using an HPE 3PAR StoreServ 8450 array that
we configured similarly to the AWS solution. Running a synthetic I/O workload, the AWS solution
supported 26 percent more GB per second than the on-premises SAN solution. Handling more data
can reduce the possibility of storage bottlenecks that slow access to data.
Running an OLTP workload, the AWS R5b instance backed by two io2 Block Express volumes
processed more NOPM than the on-premises solution. With the performance of an EBS io2 Block
Express and EC2 R5b solution, you can lift and shift business-critical OLTP workloads, satisfying
current usage levels while also having the ability to scale out to the cloud for future data growth. In
addition, moving the workload to an AWS SAN in the Cloud can provide the core cloud economic
benefits of paying for only the compute and storage resources that you use without investing in
physical infrastructure.
Exceeded OLTP
performance after
workload migration
3% more NOPM than an
on-premises SAN solution
Processed more GB/s
26% higher throughput than a
comparable on-premises SAN
Performance benchmark results: Amazon Web Services (AWS) SAN in the Cloud vs.
comparable on-premises all‑flash SAN solution
December 2021 (Revised)
A Principled Technologies report: Hands-on testing. Real-world results.
2. EBS io2 Block Storage for EC2
R5b.24xlarge instances compared
to an on-premises SAN solution in
OLTP performance
To demonstrate the performance differences between the AWS
EC2 R5b.24xlarge instance with io2 Block Express storage and an
on-premises HPE 3PAR StoreServ 8450 SAN-based solution, we ran
a synthetic I/O workload and an OLTP workload on both solutions.
The synthetic I/O workload was a sequential, all-read I/O profile
from CrystalDiskMark. The OLTP workload, known as TPROC-C, is
part of the transaction processing benchmark HammerDB v4.2 and
is derived from the TPC-C specification.
We aimed to match CPU specifications as closely as possible
between the AWS solution and the on-premises SAN solution
to offer comparable computing performance in terms of speed,
core, and threads. Both the EC2 R5b instance and the on-premises
solution used Intel®
Xeon®
processors from the same generation
(Cascade Lake) and offered the same number of cores (24) and
threads (48). An Intel Xeon Platinum 8259CL processor with a base
core frequency of 2.50 GHz powered the EC2 R5b instance. An Intel
Xeon Gold 6240R processor with a base core frequency of 2.40
GHz powered the SAN solution. We configured both the EC2 R5b
instance and the SAN solution with 768 GB of memory.
We selected the R5b.24xlarge instance with support for up to 260K
IOPS and 7.5GBps throughput to ensure that the instance type
was not a bottleneck when testing the io2 Block Express storage.
We intended to represent how a real-world customer might select
an appropriate EC2 R5b instance based on compute, IOPS, and
throughput for optimal database performance.
The EBS io2 Block Express volume offered 4 TB of data storage
for the EC2 R5b instance, with two 2TB io2 volumes in a single
stripe to use the instance’s maximum throughput limit (a single io2
volume maxes out at 4GBps). The on-premises SAN solution had 4
TB of data storage consisting of two 2TB RAID 1 volumes from 48
SAS SSDs in a single stripe. This configuration allowed us to use
multiple LUNs and do more with the SAN’s two controllers, and the
configuration offered parity with the two-io2 volume single-stripe
configuration. Note that configuring multiple striped LUNs on the
SAN may not be a common configuration, but it ensured equality
for our testing.
About io2 Block
Express volumes
Built on AWS EBS architecture,
io2 Block Express storage
is currently available for
R5b instances in US East
(Ohio), US East (N. Virginia),
US West (Oregon), Asia
Pacific (Singapore), Asia
Pacific (Tokyo), and Europe
(Frankfurt) regions. According
to AWS, io2 Block Express
volumes “deliver up to 4x
higher throughput, IOPS, and
capacity than io2 volumes,
and are designed to deliver
sub-millisecond latency and
99.999% durability.”1
AWS
plans to support io2 Block
Express in more regions and
for more instance types in
the future. To learn more
about io2 Block Express, visit
https://aws.amazon.com/ebs/
provisioned-iops/.
Performance benchmark results: Amazon Web Services (AWS) SAN in the Cloud
vs. comparable on-premises all‑flash SAN solution
December 2021 (Revised) | 2
3. Table 1 presents a side-by-side comparison of the two storage configurations.
Table 1: Configuration details for the storage we tested.
AWS San in the Cloud solution On-premises SAN solution
Operating system Microsoft Windows Server 2019 Datacenter
10.0.17763 / Build 17763
Microsoft Windows Server 2019 Datacenter
10.0.17763 / Build 17763
Instance/server type EC2 R5b.24xlarge HPE ProLiant DL380 Gen10
Location us-east-1c (data center region) Principled Technologies data center
RDMS version Microsoft SQL Server 2019 (KB4577194) Microsoft SQL Server 2019 (KB4577194)
CPU vCPUs/threads 96 96
RAM (GB) 768 768
Storage type EBS io2 Block Express HPE 3PAR StoreServ 8450
Disk configuration for data/logs 2 x 2TB, single stripe 2 x 2TB, single stripe
Performance benchmark results: Amazon Web Services (AWS) SAN in the Cloud
vs. comparable on-premises all‑flash SAN solution
December 2021 (Revised) | 3
4. SAN in the Cloud from Amazon delivered 26 percent higher
throughput during a synthetic I/O workload
Our synthetic I/O workload from CrystalDiskMark was a 100-percent sequential-read I/O profile with 64k-sized
blocks. The EBS io2 Block Express volume and EC2 R5b instance offered 26 percent higher throughput
compared to the on-premises SAN solution. Figure 1 shows the median throughput for the AWS solution and the
on-premises SAN solution in our 64k-block all-read I/O workload testing.
AWS SAN in the Cloud processed 3 percent more NOPM for an
OLTP workload
Figure 2 shows the median NOPM from our OLTP workload testing for our AWS and on-premises SAN solutions.
The EBS io2 Block Express volume and EC2 R5b instance handled 3 percent more NOPM than the on-
premises SAN solution.
Figure 1: The max throughput, in GB per second, that the solutions achieved in our 100-percent sequential-read synthetic
workload using 64k blocks. Higher is better. Source: Principled Technologies.
Max throughput achieved for all-read sequential
synthetic workload with a 64k block size
AWS SAN in the Cloud
7.852 GB/s
26%
higher throughput
than the on-premises SAN
6.187 GB/s
On-premises SAN
Figure 2: The NOPM that the EBS io2 Block Express volume and EC2 R5b instance and the on-premises SAN solution
delivered while running an OLTP workload. Larger is better. Source: Principled Technologies.
NOPM on an OLTP workload
AWS SAN in the Cloud
787,901
762,132
On-premises SAN
AWS SAN in the Cloud
exceeded on-premises SAN
OLTP performance by 3%
Performance benchmark results: Amazon Web Services (AWS) SAN in the Cloud
vs. comparable on-premises all‑flash SAN solution
December 2021 (Revised) | 4
5. Conclusion
Migrating OLTP or read-heavy I/O workloads to an AWS SAN in the Cloud solution could be an alternative to
on-premises SAN solutions. We found that EBS io2 Block Express storage and EC2 R5b instances delivered 26
percent higher throughput in GB per second and exceeded transactional database performance in NOPM (3
percent more) compared to an on-premises SAN solution. Lifting and shifting those workloads could allow you to
meet current usage levels and help your organization grow by taking advantage of more capacity in the cloud.
1 “AWS Announces General Availability of Amazon EBS io2 Block Express Volumes Amazon EBS io2 Block Express Volumes,”
accessed August 24, 2021, https://aws.amazon.com/about-aws/whats-new/2021/07/aws-announces-general-availability-
amazon-ebs-block-express-volumes/.
2 HammerDB, “Comparing HammerDB results,” accessed August 24, 2021,
https://www.hammerdb.com/docs/ch03s04.html.
Why NOPM?
NOPM is a metric for OLTP workloads that shows only the number of new order
transactions completed in one minute as part of a serialized business workload.
HammerDB claims that because NOPM is “independent of any particular
database implementation [it] is the recommended primary metric to use.”2
Principled Technologies is a registered trademark of Principled Technologies, Inc.
All other product names are the trademarks of their respective owners.
For additional information, review the science behind this report.
Principled
Technologies®
Facts matter.®
Principled
Technologies®
Facts matter.®
This project was commissioned by AWS.
Read the science behind this report at http://facts.pt/3zTs2lU
Performance benchmark results: Amazon Web Services (AWS) SAN in the Cloud
vs. comparable on-premises all‑flash SAN solution
December 2021 (Revised) | 5