#AmazonEC2U7i

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Boost Your Large In-Memory Databases & Business Workloads

In-memory databases help energy, financial services, healthcare, manufacturing, retail, telecom, media, entertainment, gaming, government, and public sector enterprises. They also support business-critical operations for these companies.

Performance is crucial because they require real-time or nearly real-time transaction and analytics processing for a wide range of use cases. However, cost effectiveness is equally crucial in the modern world of accomplishing more with less.

AWS in memory database

For high-memory applications, Amazon EC2 U7i custom virtual instances (8-socket) provide the scalability, high performance, and cost-effectiveness that enterprises want. They also support in-memory databases like SAP HANA, Oracle, and SQL Server.

With 896 vCPUs and up to 32 TiB of DDR5 memory, these 4th Gen Intel Xeon processor and Intel Advanced Matrix Extensions (Intel AMX)-powered 8-socket U7i instances provide the compute and memory density required to extend transaction processing throughput in rapidly expanding data environments.

U7i instances are a great option for the present and the future since the demand for high-memory cloud solutions, including  AI models, will only increase as large-scale data models whether developed by internal organizations or external vendors become more prevalent.

Intel AMX, an  AI engine built into Intel Xeon Scalable processors, reduces the requirement for specialized hardware while speeding up inferencing and training. This results in exceptional cost savings. These integrated accelerators are located close to system memory in each CPU core. A faster time to value is made possible by the fact that Intel AMX is frequently easier to deploy than discrete accelerators.

Benefits for Businesses

U7i instances give enterprises a quick, easy, and adaptable approach to manage their mission-critical, large-scale workloads. Additional benefits include of:

Extremely Flexible: In data environments that are expanding quickly, organizations can readily scale throughput.

Superb Work: Compared to current U-1 instances, U7i instances have up to 135% greater compute performance and up to 45% better price performance.

Decreased Indirect Costs: With U7i instances, you can operate both business apps that rely on large in-memory databases and databases themselves in the same shared Amazon Virtual Private Cloud (VPC), which guarantees predictable performance while lowering the management burden associated with sophisticated networking.

Worldwide Accessibility: U7i instances come with operating system support for Ubuntu, Windows Server, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Amazon Linux. They are accessible in the US East (North Virginia), US West (Oregon), and Asia Pacific (Seoul, Sydney) AWS Regions. Regularly, new regions are added.

Quick and Simple to Start: Buying U7i instances is simple, allowing you to start using them right away. In addition to shared dedicated instance and dedicated host tenancy, purchase choices include On-Demand, Savings Plan, and Reserved Instance form.

What is in memory database?

In contrast to conventional databases, which store data on disc, in-memory databases store data mostly in main memory (RAM). Because accessing data in RAM is far faster than accessing data on a disc, this makes in-memory databases substantially faster for data retrieval and modification.

The following are some salient features of in-memory databases:

Benefits of in memory database

Speed: In-memory databases’ main benefit is their speed. Read and write operations are substantially faster when data is stored in RAM as opposed to disk-based storage.

Volatility: Data is lost in the event of a system crash or power outage because RAM is volatile memory. Many in-memory databases offer data permanence features, including transaction logs and recurring disc snapshots, to help reduce this.

Use Cases: Applications that need to handle data quickly, such real-time analytics, caching, and session management, are best suited for in-memory databases.

Example of in memory database

Redis: Popular in-memory data structure storage for real-time analytics, message brokers, and caches.

Memcached: A fast distributed memory object caching solution that minimizes database demand to speed up dynamic web apps.

H2: A memory-efficient, lightweight Java SQL database for development, testing, and small apps.

The cutting-edge relational database management system SAP HANA is for analytics and real-time applications.

Performance: Because RAM is used, data access and processing are incredibly quick.

Scalability: Frequently made to expand horizontally, this feature enables load balancing and distributed computing.

Decreased delay: Perfect for applications that need data access with minimal delay.

Disadvantages of in memory database

Cost: Large-scale in-memory databases are expensive since RAM is more expensive than disc storage.

Data Persistence: Adding more methods and potential complexity is necessary to ensure that data is not lost in the event of a power outage.

Limited Capacity: The RAM that is available determines how much data can be kept.

Persistence Mechanisms

In-memory databases frequently employ a number of strategies to deal with the volatility issue:

Snapshots: Writing the complete database to disc on a regular basis.

Append-Only Files, or AOFs, record each modification performed to the database so that the information can be replayed and restored.

Hybrid storage refers to the combining of disk-based and in-memory storage to provide greater storage capacity and data longevity.

Utilization Examples

Real-time analytics: Quick data processing and analysis, crucial for e-commerce, telecom, and financial services.

Caching: Keeping frequently requested data in memory to lighten the burden on conventional databases.

Session management is the process of storing user session information for online apps so that the user experience is uninterrupted.

Gaming: Keeping up with the rapid updates and data changes that occur in online gaming environments.

In summary

Applications that demand real-time data access and processing can benefit greatly from the unmatched speed and performance that in-memory databases provide. They do, however, have limitations with regard to cost, capacity, and data persistence. These difficulties can be overcome by utilizing suitable persistence methods and hybrid storage options, which makes in-memory databases an effective tool for a range of high-performance applications.

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AWS U7i Instances Transforming In-Memory Computing

Amazon EC2 U7i

Amazon Elastic Compute Cloud (Amazon EC2) U7i instances with up to 32 TiB of DDR5 memory and 896 vCPUs are now available, having been unveiled in preview. These high memory instances, which are driven by specially engineered fourth generation Intel Xeon Scalable Processors (Sapphire Rapids), are intended to serve big, in-memory databases, such as SAP HANA, Oracle, and SQL Server.

What makes Amazon EC2 so special?

With over 750 instances and a selection of the newest processors, storage, networking, operating systems, and pricing models to help you best match the requirements of your workload, Amazon Elastic computational Cloud (Amazon EC2) provides the broadest and deepest computational platform available. Amazon is the first cloud provider with 400 Gbps Ethernet networking, the first major cloud provider to support AMD, Intel, and Arm processors, and the only cloud offering on-demand EC2 Mac instances. Amazon provide the lowest cost per inference instance in the cloud along with the highest pricing performance for machine learning training. AWS supports more workloads related to Windows, SAP, the HPC, and machine learning than any other cloud.

The new instances offer the most memory and computation capacity of any SAP-certified virtual instance from a top cloud provider, and they also deliver the greatest compute pricing performance for big in-memory workloads.

AWS Nitro System

All of the instance’s memory is usable because of Amazon Nitro System. Here is the 32 TiB instance, for illustration:Image credit to Amazon

Amazon Nitro Framework

The foundation of Amazon’s upcoming generation of EC2 instances, the AWS Nitro System, allows AWS to innovate more quickly, further lower costs for Amazon’s clients, and provide additional instance kinds and enhanced security, among other benefits.

Amazon has a whole new virtualization infrastructure thanks to AWS. Conventionally, hypervisors offer a wide range of administration functions, virtualize the CPU, storage, and networking, and safeguard the actual hardware and BIOS. Amazon can separate those operations, transfer them to specialised hardware and software, and lower expenses by providing your instances with nearly all of a server’s resources thanks to the Nitro System.

Advantages

Quicker invention

Amazon can rapidly and efficiently develop EC2 instance types with growing computing, storage, memory, and networking capabilities with the Nitro System. The System is a versatile set of building elements. Additionally, this invention paves the way for bare metal scenarios in which clients are free to supply their own or no hypervisor.

Increased protection

Enhanced security is offered by the Nitro System, which continuously checks, safeguards, and validates the firmware and hardware of the instance. The attack surface is reduced by offloading virtualization resources to specialised hardware and software. Last but not least, the security model of Nitro System is shut down and forbids administrative access, removing the chance of tampering and human error.

Enhanced functionality and cost

Your instances will run better overall since the Nitro System provides nearly all of the host hardware’s computation and memory resources to them. Moreover, high-speed networking, high-speed EBS, and I/O acceleration are made possible by specific Nitro Cards. More savings that can be transferred to the customer result from not needing to reserve resources for management software.

Support for instances from earlier generations

The AWS Nitro System can prolong the duration of operation beyond the standard lifespan of underlying hardware by supporting EC2 instances from earlier generations. By offering clients the ability to execute their workloads on the instance families they were created on, the AWS Nitro System gives customers access to cutting-edge hardware and software components for EC2 instances.

The Amazon EC2 U7i instances provide up to 115% greater memory performance, 2.5 times the EBS bandwidth, and more than 135% more compute performance than the previous generation of EC2 High Memory instances. With this improved capacity, data loads and cache refreshes can happen faster than ever before you can move 30 TiB of data from EBS into memory in an hour or less. The instances offer an 85% reduction in P99.9 latency across instances and support ENA Express with 25 Gbps of bandwidth per flow.

ENA Express

Amazon have made every effort to provide you with the network performance and bandwidth that you can utilise to the fullest extent possible. Network bandwidth increased over time, from 250 Mbps on the first m1 instance to 200 Gbps on the most recent m6in instances. Amazon have added advanced networking features like Enhanced Networking, Elastic Network Adapters (ENAs), and Elastic Fabric Adapters (EFAs) (for tightly connected HPC applications) in addition to sheer bandwidth.

AWS ENA Express

Announcing ENA Express

Amazon is introducing ENA Express today. ENA Express increases the maximum single-flow capacity from 5 Gbps to 25 Gbps and decreases P99 latency of traffic flows by up to 50% and P99.9 latency by up to 85% (compared to TCP), building on the Scalable Reliable Datagram (SRD) protocol that currently drives Elastic Fabric Adapters. In summary, you get significantly less unpredictability and a lot more per-flow capacity.

To benefit from this performance immediately for TCP and UDP traffic between c6gn instances running in the same Availability Zone, you can enable ENA Express on both new and old ENAs.

Using ENA Express

Using ENA Express To set up and test ENA Express, Jeff Barr used two c6gn instances. He enabled ENA Express for both instances using the AWS Management Console after he launched the instances. He locate every ENI, pick it, and then from the Actions menu, select Manage ENA Express:Image credit to Amazon

Up to 128 General Purpose (GP2 and GP3) or Provisioned IOPS (IO1 and IO2 Block Express) EBS volumes can be attached to each Amazon EC2 U7i instance. io2 Block Express volumes are a perfect fit for Amazon EC2 U7i instances because each one can hold up to 64 TiB and give up to 256K IOPS at up to 32 Gbps.

The instances are certified by SAP to operate SAP BW/4HANA, Business Suite on HANA, Business Suite S/4HANA, and Business Warehouse on HANA (BW) in production settings. Refer to the SAP HANA to AWS Migration Guide and the Certified and Supported SAP HANA Hardware for additional information. Don’t forget to look at the SAP AWS Launch Wizard as well.

Important Information

You should be aware of the following two facts regarding these recent occurrences:

Regions

The US East (North Virginia), US West (Oregon), and Asia Pacific (Seoul, Sydney) AWS Regions are where Amazon EC2 U7i instances are accessible.

Operating Systems

Windows Server, Ubuntu, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Amazon Linux are among the supported operating systems.

Greater Instances

To further serve Amazon’s customers,Amazon plan to provide even larger instances with more compute later this year.

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