Smooth-Sec €? All In One Pre-Configured IDS IPS System

Amazon EC2 allows you to set up and configure everything about your instances from your operating system up to your applications. An Amazon Machine Image (AMI) is simply a packaged-up environment that includes all the necessary bits to set up and boot your instance. Your AMIs are your unit of deployment. You might have just one AMI or you might compose your system out of several building block AMIs (e.g., webservers, appservers, and databases). Amazon EC2 provides a number of tools to make creating an AMI easy. Once you create a custom AMI, you will need to bundle it. If you are bundling an image with a root device backed by Amazon EBS, you can simply use the bundle command in the AWS Management Console. If you are bundling an image with a boot partition on the instance store, then you will need to use the AMI Tools to upload it to Amazon S3. Amazon EC2 uses Amazon EBS and Amazon S3 to provide reliable, scalable storage of your AMIs so that we can boot them when you ask us to do so.

The RunInstances call that initiates execution of your application stack will return a set of DNS names, one for each system that is being booted. This name can be used to access the system exactly as you would if it were in your own data center. You own that machine while your operating system stack is executing on it.

Smooth-Sec – All In One Pre-Configured IDS IPS System

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Yes, Amazon EC2 is used jointly with Amazon S3 for instances with root devices backed by local instance storage. By using Amazon S3, developers have access to the same highly scalable, reliable, fast, inexpensive data storage infrastructure that Amazon uses to run its own global network of web sites. In order to execute systems in the Amazon EC2 environment, developers use the tools provided to load their AMIs into Amazon S3 and to move them between Amazon S3 and Amazon EC2. See How do I load and store my systems with Amazon EC2? for more information about AMIs.

Amazon EC2 currently supports a variety of operating systems including: Amazon Linux, Ubuntu, Windows Server, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, openSUSE Leap, Fedora, Fedora CoreOS, Debian, CentOS, Gentoo Linux, Oracle Linux, and FreeBSD. We are looking for ways to expand it to other platforms.

The new NVIDIA Tesla V100 accelerator incorporates the powerful new Volta GV100 GPU. GV100 not only builds upon the advances of its predecessor, the Pascal GP100 GPU, it significantly improves performance and scalability, and adds many new features that improve programmability. These advances will supercharge HPC, data center, supercomputer, and deep learning systems and applications.

P3 instances use GPUs to accelerate numerous deep learning systems and applications including autonomous vehicle platforms, speech, image, and text recognition systems, intelligent video analytics, molecular simulations, drug discovery, disease diagnosis, weather forecasting, big data analytics, financial modeling, robotics, factory automation, real-time language translation, online search optimizations, and personalized user recommendations, to name just a few.

You can currently use Windows Server, SUSE Enterprise Linux, Ubuntu, and Amazon Linux AMIs on P2 and G3 instances. P3 instances only support HVM AMIs. If you want to launch AMIs with operating systems not listed here, contact AWS Customer Support with your request or reach out through EC2 Forums.

Aside from the NVIDIA drivers and GRID SDK, the use of G2 and G3 instances does not necessarily require any third-party licenses. However, you are responsible for determining whether your content or technology used on G2 and G3 instances requires any additional licensing. For example, if you are streaming content you may need licenses for some or all of that content. If you are using third-party technology such as operating systems, audio and/or video encoders, and decoders from Microsoft, Thomson, Fraunhofer IIS, Sisvel S.p.A., MPEG-LA, and Coding Technologies, please consult these providers to determine if a license is required. For example, if you leverage the on-board h.264 video encoder on the NVIDIA GRID GPU you should reach out to MPEG-LA for guidance, and if you use mp3 technology you should contact Thomson for guidance.

You will want to verify that the minimum memory requirements of your operating system and applications are within the memory allocated for each T2 instance size (e.g. 512 MiB for t2.nano). Operating systems with Graphical User Interfaces (GUI) that consume significant memory and CPU, for example Microsoft Windows, might need a t2.micro or larger instance size for many use cases. You can find AMIs suitable for the t2.nano instance types on AWS Marketplace. Windows customers who do not need the GUI can use the Microsoft Windows Server 2012 R2 Core AMI.

The c4.8xlarge instance type provides the ability for an operating system to control processor C-states and P-states. This feature is currently available only on Linux instances. You may want to change C-state or P-state settings to increase processor performance consistency, reduce latency, or tune your instance for a specific workload. By default, Amazon Linux provides the highest-performance configuration that is optimal for most customer workloads; however, if your application would benefit from lower latency at the cost of higher single- or dual-core frequencies, or from lower-frequency sustained performance as opposed to bursty Turbo Boost frequencies, then you should consider experimenting with the C-state or P-state configuration options that are available to these instances. For additional information on this feature, see the Amazon EC2 User Guide section on Processor State Control.

AWS Graviton2 processors support always-on 256-bit memory encryption to further enhance security. Encryption keys are securely generated within the host system, do not leave the host system, and are irrecoverably destroyed when the host is rebooted or powered down. Memory encryption does not support integration with AWS Key Management Service (KMS) and customers cannot bring their own keys.

EBS-backed HVM AMIs with support for ENA networking can be used with High Memory instances. The latest Amazon Linux, Red Hat Enterprise Linux, SUSE Enterprise Linux Server, and Windows Server AMIs are supported. Operating system support for SAP HANA workloads on High Memory instances include: SUSE Linux Enterprise Server 12 SP3 for SAP, Red Hat Enterprise Linux 7.4 for SAP, Red Hat Enterprise Linux 7.5 for SAP, SUSE Linux Enterprise Server 12 SP4 for SAP, SUSE Linux Enterprise Server 15 for SAP, Red Had Enterprise Linux 7.6 for SAP. Refer to SAP's Certified and Supported SAP HANA Hardware Directory for latest detail on supported operating systems.

R5b instances are ideal for large relational database workloads, including Microsoft SQL Server, SAP HANA, IBM DB2, and Oracle that run performance intensive applications such as commerce platforms, ERP systems, and health record systems. Customers looking to migrate large on-premises workloads with large storage performance requirements to AWS will find R5b instances to be a good fit.

D2 and H1 instances provide notifications for hardware failures. Like all instance storage, Dense HDD-storage volumes persist only for the life of the instance. Hence, we recommend that you build a degree of redundancy (e.g. RAID 1/5/6) or use file systems (e.g. HDFS and MapR-FS) that support redundancy and fault tolerance. You can also back up data periodically to more data storage solutions such as Amazon Elastic Block Store (EBS) or Simple Storage Service (S3).

Like other Amazon EC2 instance types, instance storage on Im4gn, Is4gen, I4i, I3 and I3en instances persists during the life of the instance. Customers are expected to build resilience into their applications. We recommend using databases and file systems that support redundancy and fault tolerance. Customers should back up data periodically to Amazon S3 for improved data durability.

The TRIM command allows the operating system to inform SSDs which blocks of data are no longer considered in use and can be wiped internally. In the absence of TRIM, future write operations to the involved blocks can slow down significantly. Im4gn, Is4gen, I4i, I3 and I3en instances support TRIM.

Amazon EFS is compatible with all Amazon EC2 instance types and is accessible from Linux-based AMIs. You can mix and match the instance types connected to a single file system. For a step-by-step example of how to access a file system from an Amazon EC2 instance, please see the Amazon EFS Getting Started guide.

Amazon EFS file systems can be mounted on an Amazon EC2 instance, so any data that is accessible to an Amazon EC2 instance can also be read and written to Amazon EFS. To load data that is not currently stored on the Amazon cloud, you can use the same methods you use to transfer files to Amazon EC2 today, such as Secure Copy (SCP).

Amazon EFS file systems can also be mounted on an on-premises server, so any data that is accessible to an on-premises server can be read and written to Amazon EFS using standard Linux tools. For more information about accessing a file system from an on-premises server, please see the On-premises Access section of the Amazon EFS FAQ.

Amazon EC2 instances within your VPC can access your file system directly, and Amazon EC2 Classic instances outside your VPC can mount a file system via ClassicLink. On-premises servers can mount your file systems via an AWS Direct Connect connection to your VPC.

ENA Express works best for applications requiring high, single-flow throughput, like distributed storage systems and live media encoding. These workloads require high single flow bandwidth and low tail latency.

The SRD functionality will be supported on all operating systems, but please note that ENA Express monitoring metrics will be available on only the EthTool in the latest Amazon Linux AMI or by installing the ENA driver version 2.8.0 or later from GitHub, with all operating systems supporting the metrics in the future. 2ff7e9595c