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Future-dated Capacity Reservations For AWS EC2 On-Demand

Declaring future-dated Capacity Reservations for Amazon EC2 On-Demand Capacity

Amazon Elastic Compute Cloud (EC2) is used for databases, virtual desktops, big data processing, web hosting, HPC, and live event broadcasting. Customers requested the flexibility to reserve capacity for certain workloads because they are so important.

In 2018, EC2 On-Demand Capacity Reservations (ODCRs) were introduced to enable users to reserve capacity flexibly. Customers have since utilized capacity reservations (CRs) to run vital services such as processing financial transactions, hosting consumer websites, and live-streaming sporting events.

Today, AWS reveals that CRs can be used to determine the capacity for upcoming workloads. Many customers anticipate future events, such as product releases, significant migrations, or end-of-year sales occasions like Diwali or Cyber Monday. Since these events are crucial, customers want to be sure they have the capacity when and where they need it.

CRs were only available just-in-time, but they assisted clients in reserving capacity for certain events. Customers were therefore need to either carefully prepare to provision CRs just-in-time at the beginning of the event or provision the capacity in advance and pay for it.

Your CRs can now be planned and scheduled up to 120 days ahead of time. To begin, you provide the amount of capacity you require, the start date, your preferred delivery method, and the minimum amount of time you are willing to use the capacity reservation. Making a capacity reservation doesn’t cost anything up ahead. Following evaluation and approval of the request, Amazon EC2 will activate the reservation on the start date, allowing users to begin instances right away.

Beginning to make future-dated Capacity Reservations

Select Capacity Reservations in the Amazon EC2 console, then click Create On-Demand Capacity Reservation and click Get Started to reserve your future-dated capacity.

Indicate the instance type, platform, Availability Zone, platform, tenancy, and quantity of instances you want to reserve in order to create a capacity reservation.

Select the Capacity Reservation information section. Choose your start date and commitment period later on in the Capacity Reservation starts option.

Additionally, you can decide to manually or at a specified time terminate the capacity reserve. The reservation has no expiry date if you choose Manually. Unless you actively cancel it, it will stay in your account and keep getting billed. Click Create to reserve this capacity.

Your capacity request will show up in the dashboard with an Assessing status after it has been created. AWS systems will try to ascertain whether your request is supportable during this phase, which typically takes five days. The status will be changed to Scheduled as soon as the systems decide the request is feasible. Rarely, your request might not be able to be supported.

The capacity reserve will become Active on the day you have chosen, the total number of instances will be raised to the desired number, and you will be able to start instances right away.

You have to keep the reservation for the minimum amount of time specified when it is activated. You have the option to either cancel the reservation if it is no longer needed or keep it and use it if you would like after the commitment period has passed.

Things to consider

The following information concerning the future-dated Capacity Reservations is important for you to know:

Evaluation: When assessing your request, Amazon EC2 takes into account several parameters. In addition to the anticipated supply, Amazon EC2 considers the size of your request, the length of time you intend to hold the capacity, and how early you make the capacity reservation about your start date. Create your reservation at least 56 days (8 weeks) before the commencement date to increase Amazon EC2’s capacity to fulfill your request. For instance types C, M, R, T, and I only, you must require a minimum of 100 virtual CPUs. For the majority of requests, a 14-day minimum commitment is advised.

Notification: It suggests using the console or Amazon EventBridge to keep an eye on the progress of your request. These alerts can be used to send an email or SMS update or to start an automation process.

Cost: Future-dated capacity reservations are charged in the same way as standard CRs. Whether you run instances in reserved capacity or not, you are still charged the same On-Demand fee. For instance, you will be charged for 15 active instances and 5 unused instances in the reservation, including the minimum period, if you establish a future-dated CR for 20 instances and operate 15 instances. Both instances that are operating on the reservation and reservations that are not being used are covered by savings plans.

Currently offered

In all AWS regions where Amazon EC2 Capacity Reservations are available, EC2 future-dated Capacity Reservations are now accessible. Try Amazon EC2 Capacity Reservations in the Amazon EC2 console.

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AWS DynamoDB; The Ultimate Guide You Should Know In 2022

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Amazon Elastic Compute Cloud (Amazon EC2) is a web-based service that allows businesses to run application programs in the Amazon Web Services (AWS) public cloud to run their own applications. 

Know more about the features of Amazon EC2 from our blog link https://codetru.com/amazon-elastic-compute-cloud     

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[govindhtech]

Discover Amazon EC2 G6 Instances’ Power for Deep Learning

Amazon EC2 G6 Instances

The NVIDIA L4 Tensor Core GPU-powered Amazon EC2 G6 instances are now generally available. Numerous machine learning and graphics-intensive use cases are compatible with G6 instances. When compared to Amazon EC2 G4dn instances, G6 instances provide up to two times better performance for applications including deep learning inference and graphics. Go to the Amazon EC2 G6 instance page to find out more.

NVIDIA L4 Tensor Core GPU

Many graphics-intensive and machine learning use cases may be fulfilled by NVIDIA L4 Tensor Core GPU-powered Amazon EC2 G6 instances. Compared to EC2 G4dn instances, the G6 instances provide 2x greater performance for applications including deep learning inference and graphics.

Customers may utilize Amazon EC2 G6 instances for workloads related to graphics, such as developing and rendering real-time, cinematic-quality graphics and game streaming, as well as ML models for natural language processing, language translation, video and image analysis, voice recognition, and personalization.

Amazon EC2 G6 instances use third-generation AMD EPYC CPUs and up to eight 24-GB RAM NVIDIA L4 Tensor Core GPUs. Up to 7.52 TB of local NVMe SSD storage, 100 Gbps network bandwidth, and 192 vCPUs are available.

Advantages

Superior performance and economical efficiency for inference in deep learning

When it comes to deep learning inference, G6 instances outperform G4dn instances by up to two times. There is a very effective and affordable option for clients that want to execute their machine learning applications using NVIDIA libraries like TensorRT, CUDA, and cuDNN. They are driven by L4 GPUs, which have fourth-generation tensor cores.

Excellent performance for tasks requiring a lot of graphics

Compared to G4dn instances, Amazon EC2 G6 instances provide up to two times better graphics performance. They are driven by L4 GPUs, which enable NVIDIA RTX technology and have third-generation RT cores. They are thus perfect for operating powerful virtual workstations, enabling graphics-intensive programmes at better fidelity and resolution, and generating realistic sceneries more quickly. Gr6 instances are ideal for graphics applications requiring more memory since they provide a 1:8 vCPU:RAM ratio.

Optimum efficiency using resources

The AWS Nitro System, which combines specialized hardware with a lightweight hypervisor to provide almost all of the computation and memory capabilities of the host hardware to your instances for improved overall speed and security, is the foundation upon which G6 instances are based. The Nitro system uses Amazon EC2 G6 instances to provide the GPUs in a pass-through mode, giving them performance that is similar to that of bare metal.

Features

High-performance NVIDIA L4 Tensor Core GPUs are included in NVIDIA L4 Tensor Core GPU G6 instances, which are ideal for machine learning and graphics-intensive applications. per instance has DLSS 3.0 technology, third-generation NVIDIA RT cores, fourth-generation NVIDIA Tensor Cores, and up to eight L4 Tensor Core GPUs with 24 GB of RAM per GPU. NVIDIA L4 GPUs are equipped with two video encoders, four video decoders, and the ability to hardware encode AV1.

NVIDIA libraries and drivers

Customers using G6 instances can get NVIDIA RTX Enterprise for free. For a variety of graphics-intensive applications, NVIDIA RTX Enterprise drivers may be utilised to create virtual workstations of excellent quality. CUDA, cuDNN, NVENC, TensorRT, cuBLAS, OpenCL, DirectX 11/12, Vulkan 1.3, and OpenGL 4.6 libraries are also supported by G6 instances.

High-end storage and networking

AWS G6 instances can accommodate the low latency requirements of machine learning inference and graphics-intensive applications thanks to their 100 Gbps networking speed. With support for up to 7.52 TB of local NVMe SSD storage and 24 GB of RAM per GPU, big models and datasets may be locally stored for high speed machine learning training and inference. Large video files may also be locally stored by G6 instances, which improves graphics performance and enables the rendering of bigger, more complicated video files.

Built on AWS Nitro System: AWS G6 instances are constructed on the AWS Nitro System, a vast array of building blocks that transfers many of the conventional virtualization tasks to specialized hardware and software in order to minimize virtualization overhead and provide high performance, high availability, and high security.

Using G6 instances to begin machine learning

ML practitioners and academics may accelerate deep learning on the cloud at any scale by using DLAMI, or Deep Learning Containers. Docker images with DL frameworks preloaded are called Deep Learning Containers, and they simplify the deployment of customized ML environments by saving you the trouble of creating and optimizing your environments from the ground up.

Making use of Amazon ECS or EKS

You may use Amazon EKS or Amazon ECS to deploy G6 instances if you would rather manage your own containerized workloads using container orchestration services.

Read more on Govindhtech.com

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Amazon Web Service EC2 Guide For Beginner’s In 2023

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Tìm hiểu về AWS Elastic Block Store (EBS)? Giới hạn tối đa AWS EBS?

Có bài viết học luyện thi AWS mới nhất tại https://cloudemind.com/ebs/ - Cloudemind.com

Tìm hiểu về AWS Elastic Block Store (EBS)? Giới hạn tối đa AWS EBS?

Khi làm việc với AWS, một trong những dịch ko thể thiếu được xếp vào dạng xóa mù cloud ko thể ko xem qua đó là nhóm dịch vụ về lưu trữ trong đó có EBS (Elastic Block Store). Đây là một dạng dịch vụ lưu trữ dữ liệu dạng block, có nghĩa là dữ liệu lưu vào các block khác nhau, khi có sự thay đổi dữ liệu là thay đổi các block này. Bài này chúng ta cùng hiểu kỹ hơn về EBS nhé. EBS sử dụng trong những use cases nào? Giới hạn của EBS là gì? Ưu nhược điểm của AWS EBS…

Giới thiệu AWS EBS

EBS là loại dịch vụ thuộc nhóm về lưu trữ. EBS được thiết kế để sử dụng cùng với EC2 để tạo nên một máy ảo trên cloud gọi là EC2 instances. Một máy chủ trên cloud sẽ được phân biệt phần tính toán và bộ nhớ riêng với phần lưu trữ. EC2 cung cấp cho bạn lựa chọn về vCPU và RAM, còn EBS cung cấp khả năng lưu trữ như HDD/SSD. Vậy EC2 và EBS xem như là perfect couple để tạo nên một bộ đôi ăn ý và phổ biến nhất. (Ngoài EBS, EC2 còn có thể làm việc với nhiều loại lưu trữ khác như EFS hay Instance Store nhưng trong bài này Kevin chỉ cover về EBS loại hình phổ biến và dễ sử dụng nhất).

internet

EBS là loại hình lưu trữ phổ biến cho nhiều loại workload ứng dụng thiên về xử lý giao dịch transactional hay cần khả năng đọc ghi throughput cao. Có rất nhiều ứng dụng có thể cài trên EBS ví dụ như web server, database (sql và nosql), enterprise application, containers, big data analytics, media processing hay các chương trình thiên về machine learning, file system…

Thậm chí EBS còn có thể chịu các workload mà tần số truy suất tính bằng single-digit-milisecond (độ trễ tính bằng 1 ký số ví dụ như: 1 milisecond 9 milsecond) như các DB đòi hỏi performance cao như SAP HANA hay các ứng dụng cần thông lượng throughput cực cao tính bằng Gigabyte/s như phân tích dữ liệu Hadoop.

EBS có tính persistent hiểu nôm na là có tính tồn tại, khi máy chủ EC2 stop hay thậm chí terminated (xóa bỏ) thì phân vùng EBS vẫn còn tồn tại. Điều này ngược với loại hình storage có tên là Instance Store.

EBS có scope hoạt động là AZ specific, có nghĩa là EBS khi tạo ra sẽ ảnh hưởng trên một AZ, và dữ liệu EBS được sao lưu trong AZ đó.

EBS Snapshot là một tính năng cho phép sao lưu EBS đến Amazon S3 tự động thông qua lifecycle policy.

Lợi ích chính của EBS

High performance – EBS là loại dịch vụ lưu trữ phù hợp với một dải rộng các workload từ các ứng dụng web server, dịch vụ lưu trữ file hay tới các workload nặng như phân tích dữ liệu lớn, machine learning hay xử lý media…

EBS volume sử dụng cho EC2 R5b instance có thể hỗ trợ throughput tới 60Gbps và 260K IOPS

HDD EBS-backed EC2 phù hợp các workload về big data hay analytics, data warehouse…

High Available & Durable – Protect failure when replicating within AZ, offering 99,999% availability (five 9s). Bạn có thể kết hợp sử dụng với DLM (Data Lifecycle Management) để backup dữ liệu tăng tính available của dữ liệu.

Durability 99.8% – 99.9%

For high durable volume (io2) provide 99.999%

Cost effective – Chi phí đôi khi ko phải là lúc nào cũng có lợi nhất khi bàn tổng thể một giải pháp nhưng phần lớn các dịch vụ AWS ra đời sau luôn có tỷ số giá trên hiệu năng (p/p) luôn tốt hơn, đem lại lợi ích cho người dùng. Cụ thể AWS ra loại hình lưu trữ gp3 mới hơn gp2 với chi phí thấp hơn 20% cho phép bạn có IOPS mạnh hơn và hiệu năng mạnh hơn.

Virtually unlimited scale – Bạn có thể dễ dàng scale EBS tính đến hàng Petabytes mà không ảnh hưởng hay gián đoạn đến ứng dụng. EBS vì có AZ Specific nên muốn provision vùng EBS ở AZ khác bạn dễ dàng sử dụng thông qua tính năng EBS Snapshot (rồi provision ở AZ khác với bản snapshot đã có).

Secure – EBS tạo mới được mã hóa mặc định để đảm bảo data compliance. EBS hỗ trợ mã hóa data at rest và in-transit. EBS cũng work rất tốt với các hệ thống quản lý khóa của AWS như KMS và ko ảnh hưởng tới performance của EBS. Điều này rất tuyệt.

Một số giới hạn của AWS EBS

Maximum volume size: 16TB

Logical data block: 4K

Một EC2 instance có thể attach bao nhiêu EBS? Tùy theo loại instance và OS là gì, thông thường 28, có một số instance type hỗ trợ tới 31, một số khác chỉ 3. Tham khảo thêm: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/volume_limits.html

Tham khảo:

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/volume_constraints.html

Xem thêm: https://cloudemind.com/ebs/