Best Web Hosting Providers for Amazon EC2

Cloudflare is the foundation for your infrastructure, applications, and teams. Cloudflare secures and ensures the reliability of your external-facing resources such as websites, APIs, and applications. It protects your internal resources such as behind-the-firewall applications, teams, and devices. And it is your platform for developing globally scalable applications. Your website, APIs, and applications are your key channels for doing business with your customers and suppliers. As more and more shift online, ensuring these resources are secure, performant and reliable is a business imperative. Cloudflare for Infrastructure is a complete solution to enable this for anything connected to the Internet. Behind-the-firewall applications and devices are foundational to the work of your internal teams. The recent surge in remote work is testing the limits of many organizations’ VPN and other hardware solutions.

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

NextGen WordPress-focused server dashboard to launch blazing-fast WordPress on any VPS or cloud. ​LaunchWP is a modern server management dashboard designed to simplify the process of deploying and managing WordPress websites on Virtual Private Servers (VPS) or cloud providers. It allows users to launch high-performance WordPress sites without the need to write code or execute command-line instructions. ​ With LaunchWP, you can connect to various cloud providers, including AWS EC2, AWS Lightsail, Linode, DigitalOcean, Vultr, Google Cloud, Hetzner, and custom VPS setups. Once connected, LaunchWP automates the installation and configuration of essential components such as NGINX, MariaDB, Redis, and Docker containers. This automation ensures that each WordPress site operates efficiently and securely within its own isolated environment.

Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service. It is designed to give developers and businesses an extremely reliable and cost-effective way to route end users to Internet applications by translating names into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Amazon Route 53 is fully compliant with IPv6 as well. Amazon Route 53 effectively connects user requests to infrastructure running in AWS, such as Amazon EC2 instances, Elastic Load Balancing load balancers, or Amazon S3 buckets, and can also be used to route users to infrastructure outside of AWS. You can use Amazon Route 53 to configure DNS health checks, then continuously monitor your applications’ ability to recover from failures and control application recovery with Route 53 Application Recovery Controller. Amazon Route 53 Traffic Flow makes it easy for you to manage traffic globally through a variety of routing types.

Enjoy the ultimate customization and flexibility, while harnessing the full power of solr on any scale. Either its a billion requests per second, or ten billion documents, we are fully managing your Solr Cloud, while you focus on what matters most. Search API Opensolr is the official Opensolr-Drupal plugin, that helps you setup your Opensolr index with Drupal in just a few clicks. Extends the main Search API Solr module and provides functionality for connecting and managing Solr using the Opensolr services. WP-SOLR Opensolr Plugin , helps you integrate your Opensolr index with WordPress easily. Simply follow the WP-SOLR website instructions, and you'll be able to start using your Opensolr index with WordPress, in just a few clicks. We realize that you may not be alone in your Hosted Solr ventures. Get started with your new Solr Cloud Team, in just a few easy clicks, directly from your Opensolr Control Panel.

Simplyblock provides a distributed storage solution for IO-intensive and latency-sensitive container workloads in the cloud, offering an alternative to Elastic Block Storage services. The storage solution enables thin provisioning, encryption, compression, storage virtualization, and more. Ultra-high performance at low TCO, offering available for AWS, fully containerized, deployment. Up to 100x improved cost-to-performance over currently prevailing software-defined storage technologies like Ceph. Start from single node, grow to 255 nodes in a single cluster. Scales safely with zero downtime. Performance scales linearly. Storage entities (logical volumes) are provisioned and attached on cluster-level, no manual configuration required. Drop-in replacement for your current k8s storage solution. Offers easy integration via StorageClass. Write concurrently on multiple containers and nodes via distributed file system support.

Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.

Since 1995 Alchemy has been offering a complete assortment of enterprise technology environments, systems and processes towards helping businesses source, implement and support existing and future technology environments. Our engineers will assess your organization 24/7/365 with expertise and resources that you may not have on hand. At Alchemy, our project managers are fluent in every aspect of IT, and our team we'll work tirelessly to ensure your IT systems, processes and people are successful across your entire enterprise. Whether your organization is ready for virtualization, implementing green strategies, integrating and consolidating disparate systems, driving greater efficiencies from your existing technology investments, or all of the above, we make IT work for you. We'll identify the technologies best suited to your requirements and goals, then build your solution on a solid framework that's simple to manage, scalable to your changing needs, and certain to perform.

Host your app on idealstack, and shortcut all the Devops work needed to get up and running. Idealstack automatically cluster-enables any PHP code- including Laravel, Zend, Symfony or CakePHP. Use Idealstack to build your own private hosting platform on AWS. You can host as many websites as you want and provide them a 'premium' service including multiple-server clusters, autoscaling and high-availability, plus the ability to add-in any other AWS service, without having to retrain your team. Host an ecommerce site or some other 'mission critical' PHP app? Idealstack provides customizable hosting that provides high reliability, performance and low cost, and you can "plug in" the rest of the AWS platform to provide almost any feature imaginable. But it is also easy to use and runs entirely in infrastructure that you control.

Vesta core is written in bash. It is native programming language of linux server administrators. They see dreams in bash, thats why vesta grows so fast. Server admins are those people who know how to fix problems and how server inner structure should look like. Bash and gpl allows Vesta to fix problems and implement new features very fast. Built in firewall resolves all common issues. It’s packed with enterprise-class features. For example it comes with smart filters for various services (apache, exim, ssh, etc) in order to ban any host IP address that makes too many login attempts. You can manage backups the way you want to. You can exclude some files or directories or specific account or even domain. Number of copies or backup frequency can be easily changed. By default you get 3 backups created by cron job at night.

Amazon EC2 G5 instances are the latest generation of NVIDIA GPU-based instances that can be used for a wide range of graphics-intensive and machine-learning use cases. They deliver up to 3x better performance for graphics-intensive applications and machine learning inference and up to 3.3x higher performance for machine learning training compared to Amazon EC2 G4dn instances. Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and gaming to produce high-fidelity graphics in real time. With G5 instances, machine learning customers get high-performance and cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing, computer vision, and recommender engine use cases. G5 instances deliver up to 3x higher graphics performance and up to 40% better price performance than G4dn instances. They have more ray tracing cores than any other GPU-based EC2 instance.

Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. Researchers, data scientists, and developers can utilize P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines, as well as to run HPC applications like pharmaceutical discovery and more.

Amazon Elastic Block Store (EBS) is an easy to use, high-performance, block-storage service designed for use with Amazon Elastic Compute Cloud (EC2) for both throughput and transaction intensive workloads at any scale. A broad range of workloads, such as relational and non-relational databases, enterprise applications, containerized applications, big data analytics engines, file systems, and media workflows are widely deployed on Amazon EBS. You can choose from six different volume types to balance optimal price and performance. You can achieve single-digit-millisecond latency for high-performance database workloads such as SAP HANA or gigabyte per second throughput for large, sequential workloads such as Hadoop. You can change volume types, tune performance, or increase volume size without disrupting your critical applications, so you have cost-effective storage when you need it.

Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Sagemaker instances or Amazon ECS tasks, to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, PyTorch and ONNX models. Inference is the process of making predictions using a trained model. In deep learning applications, inference accounts for up to 90% of total operational costs for two reasons. Firstly, standalone GPU instances are typically designed for model training - not for inference. While training jobs batch process hundreds of data samples in parallel, inference jobs usually process a single input in real time, and thus consume a small amount of GPU compute. This makes standalone GPU inference cost-inefficient. On the other hand, standalone CPU instances are not specialized for matrix operations, and thus are often too slow for deep learning inference.

Amazon Elastic Compute Cloud (Amazon EC2) P5 instances, powered by NVIDIA H100 Tensor Core GPUs, and P5e and P5en instances powered by NVIDIA H200 Tensor Core GPUs deliver the highest performance in Amazon EC2 for deep learning and high-performance computing applications. They help you accelerate your time to solution by up to 4x compared to previous-generation GPU-based EC2 instances, and reduce the cost to train ML models by up to 40%. These instances help you iterate on your solutions at a faster pace and get to market more quickly. You can use P5, P5e, and P5en instances for training and deploying increasingly complex large language models and diffusion models powering the most demanding generative artificial intelligence applications. These applications include question-answering, code generation, video and image generation, and speech recognition. You can also use these instances to deploy demanding HPC applications at scale for pharmaceutical discovery.

Amazon EC2 Capacity Blocks for ML enable you to reserve accelerated compute instances in Amazon EC2 UltraClusters for your machine learning workloads. This service supports Amazon EC2 P5en, P5e, P5, and P4d instances, powered by NVIDIA H200, H100, and A100 Tensor Core GPUs, respectively, as well as Trn2 and Trn1 instances powered by AWS Trainium. You can reserve these instances for up to six months in cluster sizes ranging from one to 64 instances (512 GPUs or 1,024 Trainium chips), providing flexibility for various ML workloads. Reservations can be made up to eight weeks in advance. By colocating in Amazon EC2 UltraClusters, Capacity Blocks offer low-latency, high-throughput network connectivity, facilitating efficient distributed training. This setup ensures predictable access to high-performance computing resources, allowing you to plan ML development confidently, run experiments, build prototypes, and accommodate future surges in demand for ML applications.

Amazon EC2 UltraClusters enable you to scale to thousands of GPUs or purpose-built machine learning accelerators, such as AWS Trainium, providing on-demand access to supercomputing-class performance. They democratize supercomputing for ML, generative AI, and high-performance computing developers through a simple pay-as-you-go model without setup or maintenance costs. UltraClusters consist of thousands of accelerated EC2 instances co-located in a given AWS Availability Zone, interconnected using Elastic Fabric Adapter (EFA) networking in a petabit-scale nonblocking network. This architecture offers high-performance networking and access to Amazon FSx for Lustre, a fully managed shared storage built on a high-performance parallel file system, enabling rapid processing of massive datasets with sub-millisecond latencies. EC2 UltraClusters provide scale-out capabilities for distributed ML training and tightly coupled HPC workloads, reducing training times.

Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High-Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. EFA is available as an optional EC2 networking feature that you can enable on any supported EC2 instance at no additional cost. Plus, it works with the most commonly used interfaces, APIs, and libraries for inter-node communications.

Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, deliver cost-effective solutions for graphics workloads. Both G4dn and G4ad instances support Amazon Elastic Inference, allowing users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and reduce deep learning inference costs. They are available in various sizes to accommodate different performance needs and are integrated with AWS services such as Amazon SageMaker, Amazon ECS, and Amazon EKS.