Amazon Elastic Compute Cloud (Amazon EC2) provides scalable computing capacity in the Amazon Web Services (AWS) Cloud. By leveraging Amazon EC2, there’s no need for you to make upfront hardware investments, allowing for faster application development and deployment. With Amazon EC2, you can launch the exact number of virtual servers required, configure networking and security settings, and handle storage management. Moreover, Amazon EC2 enables you to effortlessly scale up or down as required, avoiding the need to anticipate traffic patterns or changing needs.
Amazon EC2 provides the following features:
Multiple Locations – With Amazon EC2, it’s possible to deploy instances across various locations, including Regions and Availability Zones. These Availability Zones are physically separated, ensuring that failures in one zone do not affect the others, while also offering affordable, high-speed network connectivity. By deploying instances in multiple Availability Zones, you can safeguard your applications against potential failures in any single location. Regions, on the other hand, consist of multiple Availability Zones spread across different geographic locations. Amazon EC2 promises a 99.99% availability commitment for every Region, as part of their Service Level Agreement.
Choice of operating systems and software– Amazon Machine Images (AMIs) come preloaded with a constantly expanding range of operating systems that includes Microsoft Windows, as well as several Linux distributions like Amazon Linux 2, Ubuntu, Red Hat Enterprise Linux, CentOS, SUSE, and Debian. Amazon Web Services (AWS) collaborates with their partners and the community to offer a diverse array of options. In addition, the AWS Marketplace provides an extensive collection of both free and paid software from reputable vendors that are optimized for use with EC2 instances.
Pay for What You Use – Per-second billing ensures that you are charged only for the exact amount of usage, which means that any unused minutes or seconds within an hour are not included in the bill. This billing model allows you to concentrate on enhancing your applications without worrying about maximizing usage to the hour in order to save costs.
Optimal storage for every workload – Amazon EC2 workloads may have distinct storage needs that vary widely. In addition to the default instance storage, Amazon Web Services (AWS) provides Amazon Elastic Block Store (Amazon EBS) and Amazon Elastic File System (Amazon EFS) to accommodate diverse cloud storage requirements. Amazon EBS offers reliable, high-performance, consistent, low-latency block storage volumes that are highly available and meant for use with Amazon EC2 instances. Meanwhile, Amazon EFS provides fully managed cloud file storage that is simple, scalable, persistent, and designed for shared access.
High Packet-Per-Second Performance and Low Latency with Enhanced Networking – Elastic IP addresses are fixed IP addresses that are specifically intended for flexible cloud computing. They are linked to your account rather than a specific instance, and you have the ability to maintain control of the address until you decide to release it. Unlike traditional static IP addresses, Elastic IP addresses enable you to conceal instance or Availability Zone outages by programmatically reassigning your public IP addresses to any instance in your account.
Manage Dynamic Cloud Computing Services with Elastic IP Addresses – Elastic IP addresses are fixed IP addresses that are specifically intended for flexible cloud computing. They are linked to your account rather than a specific instance, and you have the ability to maintain control of the address until you decide to release it. Unlike traditional static IP addresses, Elastic IP addresses enable you to conceal instance or Availability Zone outages by programmatically reassigning your public IP addresses to any instance in your account.
High Throughput and Low Latency with High Performance Computing (HPC) Clusters – Customers with complex computational workloads or with applications sensitive to network performance, can achieve the same high compute and network performance provided by custom-built infrastructure, benefiting with elasticity, flexibility and cost advantages of Amazon EC2. Cluster Compute, Cluster GPU, and High Memory Cluster instances have been specifically made to provide high-performance network capability and can be programmatically launched into clusters – allowing applications to get the low-latency network performance. Cluster instances also provide significantly increased throughput making them suited for applications that need to perform network-intensive operations
AWS regularly performs routine hardware, software, power, and network maintenance with minimal disruption across all the AWS EC2 instances. This is achieved by a combination of technologies and methods across the entire AWS Global infrastructure, such as live update and live migration as well as concurrently maintainable systems. Non-intrusive maintenance technologies such as live updates and live migration do not require instances to be halted or rebooted. Customers do not need to do anything before to, during, or after a live migration or live upgrade. By using these technologies, you can enhance application uptime and minimize the amount of operational effort required. Amazon EC2 employs live update to swiftly deliver software to servers with minimal impact on customer instances. Live update ensures that customers’ workloads run on servers with software that is up to date with security patches and new EC2 features. Amazon EC2 employs live migration when relocating running instances from one server to another, either for hardware maintenance, instance optimization, or dynamic CPU resource management. Over time, Amazon EC2 has broadened the range and reach of non-invasive maintenance technologies, thereby minimizing the need for scheduled maintenance events and using them as a last resort for routine maintenance.
Use cases: – Applications built on open-source software such as application servers, microservices, gaming servers, midsize data stores, and caching fleets.
Use Cases:- High performance computing (HPC), batch processing, ad serving, video encoding, gaming, scientific modelling, distributed analytics, and CPU-based machine learning inference.
Use cases: – Memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics.
Use Cases: – Machine learning, high performance computing, computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles, and drug discovery.
Use Cases: – These instances maximize the number of transactions processed per second (TPS) for I/O intensive and business-critical workloads which have medium size data sets and can benefit from high compute performance and high network throughput such as relational databases (MySQL, MariaDB, and PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, and Cassandra). They are also an ideal fit for workloads that require very fast access to medium size data sets on local storage such as search engines and data analytics workloads.
Run cloud-native and enterprise applications: – Amazon EC2 delivers secure, reliable, high-performance, and cost-effective compute infrastructure to meet demanding business needs.
Scale for HPC applications: – Access the on-demand infrastructure and capacity you need to run HPC applications faster and cost-effectively.
Develop for Apple platforms: – Build, test, and sign on-demand macOS workloads. Access environments in minutes, dynamically scale capacity as needed, and benefit from AWS’s pay-as-you-go pricing.
Train and deploy ML applications: – Amazon EC2 delivers the broadest choice of compute, networking (up to 400 Gbps), and storage services purpose-built to optimize price performance for ML projects.
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