Deploy mission-critical web applications using PHP 8.4 on SUSE Linux Enterprise Server (SLES) 16. This Amazon Machine Image (AMI) is designed for Content Management Systems (CMS), providing a streamlined, high-performance environment for running PHP workloads on AWS.
Deploy mission-critical web applications using PHP 8.4 on SUSE Linux Enterprise Server (SLES) 16. This Amazon Machine Image (AMI) is designed for Content Management Systems (CMS), providing a streamlined, high-performance environment for running PHP workloads on AWS.
SLES 16 offers improved system efficiency and reduces unnecessary overhead, while PHP 8.4 delivers modern language features, runtime improvements, and enterprise-grade security updates. Benefit from a stable, enterprise-grade Linux platform with improved efficiency and a reduced attack surface.
This AMI allows developers and administrators to launch a ready-to-run PHP environment on Amazon EC2 quickly, simplifying deployment for CMS platforms and other PHP-based applications.
This AMI, tuned to deliver strong price-performance on AWS Graviton4 ARM64 instances, provides a reliable and ready-to-use foundation for deploying PHP-based CMS and web applications, helping reduce setup time and ensure stable, secure operations on AWS.
About SUSE
SUSE is a global leader in innovative, reliable and secure enterprise open source solutions, including SUSE Linux Enterprise (SLE) and SUSE Rancher Prime. More than 60% of the Fortune 500 rely on SUSE to power their mission-critical workloads, enabling them to innovate everywhere - from the data center to the cloud, to the edge and beyond. SUSE puts the "open" back in open source, collaborating with partners and communities to give customers the agility to tackle innovation challenges today and the freedom to evolve their strategy and solutions tomorrow.
Highlights
Latest PHP 8.4 Stack - Access the most recent enterprise-supported PHP features and security updates, preconfigured for high-performance PHP workloads.
Zero-Downtime Kernel Updates - SUSE Live Patching allows kernel security updates without rebooting, helping maintain uptime for production applications.
Long-Term Support - SLES 16 provides a predictable lifecycle with enterprise maintenance and security updates.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay by the hour for PHP running on SUSE Linux Enterprise Server on arm64-based AWS instances. Pricing is not tiered. Instead, each dimension matches one Arm (Graviton) EC2 instance type, spanning compute-optimized (c-series), general-purpose (m-series and t-series), memory-optimized (r-series and x-series), and storage-focused (i-series) families. Rates scale with instance size, from nano and micro up to 48xlarge and bare-metal options. You choose the instance type that fits your workload, and your hourly charge reflects that selection. No upfront commitment applies.
Top-of-mind questions for buyers
What do I get for the hourly charge on each instance type?
The hourly charge covers the PHP software running on SUSE Linux Enterprise Server for one Arm (Graviton) EC2 instance of the type you select. The rate reflects that instance's size and family. Underlying AWS compute, storage, and network fees are billed separately by AWS.
Am I charged when my instance is stopped or powered off?
The hourly software charge meters running time only. A fully stopped instance does not accrue the per-hour software fee. You may still owe AWS for attached storage while the instance is stopped, but that is an AWS charge, not the software rate.
Is this pay-as-you-go, or do I commit upfront?
This is usage-based, pay-as-you-go billing. You pay per instance-hour with no upfront commitment and no fixed term. Charges start when an instance runs and stop when it stops. This suits variable workloads where you scale instances up or down as needed.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Use the image to start an instance of your choice in Amazon EC2. Once the instance is running connect to it using a Secure Shell (SSH) client as 'ec2-user' and the configured SSH key. You may connect the instance to the SUSE Customer Center (SCC) or the region local SUSE operated update infrastructure using your existing SUSE registration key. Use 'SUSEConnect -r' or 'registercloudguest -r', respectively to enable your instance to receive maintenance updates and security fixes.
In order to provide you with support for your PHP on SLES instance, you need to first generate and upload your instance's supportconfig file. See the Marketplace Support Page in SUSE Customer Center for more information on how to create a supportconfig file and follow the prompts.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Deploy mission-critical web applications using PHP 8.4 on SUSE Linux Enterprise Server (SLES) 16. This Amazon Machine Image (AMI) is designed for Content Management Systems (CMS), providing a streamlined, high-performance environment for running PHP workloads on AWS.
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