Compute platform What is a compute platform?
A compute platform is a data environment for program execution. This is where programs and workloads operate on the operating system (OS) framework, physical hardware architecture, or both. Compute platforms provide the required infrastructure and tools to handle a wide range of workloads, from basic apps to complicated computational processes, and can be deployed on-premises, in the cloud, or at the edge. By underpinning software processes, compute platforms help businesses streamline and adapt.
- What are the different types of compute platforms?
- How do compute platforms work?
- What is the importance of compute platforms in modern IT infrastructure?
- What are on premises compute platforms?
- What are cloud compute platforms?
- What are container compute platforms?
- What are quantum compute platforms?
- What are hybrid compute platforms?
- List some compute platform selection considerations
- How do HPE Compute platforms enhance innovation and security?
What are the different types of compute platforms?
There is a wide array of both modern and legacy compute platforms that are utilized in today’s world of compute. From hardware platforms to cloud platforms to platforms as a service, there are truly compute platforms for any environment and every application.
- Hardware platforms work within a data architecture that consists of an array of compatible hardware components and can often be found within legacy compute systems. They typically can trace compatibility back through the lifetime of the company’s data architecture.
- Cloud platforms are utilized for creating and deploying applications in a cloud environment, whether it be software or services.
- Platform as a service (PaaS) consists of a complete package for development and deployment of cloud-based services. Providing the complete architecture required by organizations to host their applications and run their software, Platforms as a Service are rapidly gaining momentum as a compute environment offering.
- Client/server platforms provide compute infrastructure and capacity on physical web servers. Being available onsite means organizations have immediate access to the hardware in case of any need for access or security purposes.
How do compute platforms work?
A compute platform’s key purpose is to provide an architecture required for software and application deployment and management. The system requires both hardware (i.e., device) and an OS for the program or application to run on. In order for a program or application to run, it needs a platform to host it—this is where a compute platform comes in.
Compute platforms work through several components. Each component is required in different environments, in order to accomplish the task at hand. Some examples of platform components needed in varying environments include:
- Hardware is a critical part of the compute process and is accessible only through embedded systems. This compute process is often described as “running bare metal.”
- A browser acts as an essential element to run web-based software, and hosts software specifically within the browser itself. This does not include the process of a browser being run on an OS.
- A framework provides the actual infrastructure required for compute to occur. Some frameworks come ready-made–while they include several restrictions, they are still a good element to include in compute environments that involve very specific requirements.
- A virtualized compute platform is a software-based version of a physical server, created through server virtualization using a hypervisor.
What is the importance of compute platforms in modern IT infrastructure?
Compute platforms play a crucial role in modern IT infrastructure. They are the foundation upon which organizations build and run their digital services, applications, and data processing systems. Here are a few reasons why compute platforms are important:
- Performance and scalability: Compute platforms provide the processing power and resources required to efficiently execute complex activities, allowing enterprises to expand operations and achieve high-performance computing.
- Flexibility and agility: modern compute platforms provide on-demand resource allocation, enabling quick application deployment, easy scalability, and the ability to adapt to changing business needs.
- Cost optimization: Compute platforms offer cost-saving benefits by eliminating upfront hardware investments and providing flexible pricing models, such as pay-as-you-go, leading to overall cost reduction.
- Accessibility and collaboration: Cloud-based compute platforms enable remote access and collaboration among geographically dispersed teams, promoting efficient workflows and real-time project collaboration.
- Reliability and disaster recovery: Compute platforms incorporate features like redundancy and disaster recovery mechanisms, ensuring data and critical systems are protected, minimizing downtime and ensuring business continuity.
- Innovation and experimentation: Compute platforms provide tools, frameworks, and services that inspire creativity and enable the rapid development and launch of new applications and services.
In short, compute platforms are vital in modern IT infrastructure as they enable organizations to meet the demands of a digital and interconnected world.
What are on premises compute platforms?
On-premises infrastructure that organizations deploy and manage within their own physical data centers or colocations. Here are two examples of traditional compute platforms:
- Bare-metal servers: Bare-metal servers offer direct access to hardware resources, delivering high performance and allowing maximum control, security, and customization for specific workloads.
- Virtualization technologies: Hypervisors enable multiple operating systems and applications to run concurrently on a single server, optimizing resource usage and providing flexibility through hardware abstraction.
In traditional compute platforms, organizations have full control over their infrastructure but face challenges of high costs and maintenance. Transitioning to cloud-based solutions offers scalability, cost-efficiency, and managed services, prompting organizations to embrace cloud computing for improved agility and reduced expenses.
What are cloud compute platforms?
Cloud compute platforms refer to the infrastructure and services provided by cloud service providers to enable organizations to run their applications and processes in a cloud-based environment. The three types of cloud compute platforms include:
- Infrastructure as a service (IaaS)
- Platform as a service (PaaS)
- Function-as-a-service (FaaS)
Cloud compute platforms provide organizations with the flexibility, scalability, and cost efficiency required to build, deploy, and scale applications in the cloud.
What are container compute platforms?
Container compute platforms revolve around containerization technologies and container orchestration platforms. Let's explore them in more detail:
Containerization technologies (e.g., docker):
- Isolation: Containers offer process-level isolation, enabling applications to run independently without interference.
- Portability: Containers can be deployed on any system supporting the containerization technology, ensuring consistent behavior.
- Resource efficiency: Containers are lightweight, share the host system's kernel, and optimize resource utilization for efficient performance.
Container orchestration platforms:
- Kubernetes: An open-source platform automating container deployment, scaling, and management, offering features like service discovery, load balancing, rolling updates, and self-healing capabilities.
- Other container orchestration solutions, offer similar functionality with additional cloud-specific features and integrations.
Container compute platforms enable organizations to build and deploy applications in a consistent and scalable manner, leveraging the advantages of containerization and orchestration technologies.
What are quantum compute platforms?
- Overview of quantum computing: Quantum computing utilizes qubits, which can exist in multiple states simultaneously, to perform complex calculations more efficiently than classical computers, offering the potential to solve computationally challenging problems.
- Challenges in quantum computing: Quantum computing is still in its early stages of development, and there are several challenges to overcome:
- Qubit stability: Maintaining qubit stability and reducing errors is challenging due to noise and environmental disturbances.
- Scalability: Scaling quantum systems to a level where they can outperform classical computers for practical applications remains a significant challenge.
- Error correction: Developing effective error correction codes and fault-tolerant systems is crucial for preserving the accuracy of quantum computations.
- Limited applications: Identifying and developing practical applications beyond cryptography, optimization, and quantum simulation is a continuing challenge.
What are hybrid compute platforms?
- Hybrid cloud computing: Hybrid cloud computing integrates on-premises infrastructure with public/private clouds, combining scalability and flexibility with data control. Workloads are distributed between on-premises and cloud, offering a hybrid compute platform.
- Integration of on-premises and cloud platforms: Hybrid compute platforms involve the integration of on-premises infrastructure and cloud platforms to create a cohesive computing environment. This integration can take different forms, such as:
- Data integration: Seamlessly integrate data between on-premises systems and the cloud, securely transferring and synchronizing data.
- Application deployment: Deploy applications across on-premises infrastructure and the cloud, hosting them on-premises while utilizing cloud components for scalability and accessibility.
- Resource bursting: Utilize additional cloud resources during peak demand, dynamically scaling infrastructure and relying on on-premises infrastructure for normal operations.
- Management and orchestration of hybrid compute environments: Managing and orchestrating hybrid compute environments require effective tools and strategies. Key aspects include:
- Cloud management platforms (CMP): Centrally manage and control on-premises and cloud resources, provisioning, monitoring, and managing them through a single interface.
- Connectivity and networking: Ensure reliable and secure network connectivity between on-premises infrastructure and cloud providers using technologies like vpns, dedicated connections, and sdn.
- Orchestration and automation: Manage containerized workloads across hybrid environments with orchestration tools like kubernetes and automate application deployment and scaling.
- Security and compliance: Address security and compliance requirements for both on-premises and cloud components, including access controls, data encryption, identity management, and compliance frameworks.
Effective management and orchestration of hybrid compute environments ensure seamless integration, resource optimization, security, and regulatory compliance across both on-premises and cloud infrastructure, enabling organizations to leverage the best of both worlds.
List some compute platform selection considerations
- Performance and scalability requirements: Evaluate your performance and scalability needs to ensure the compute platform can meet your workload demands. Consider factors such as:
- Processing power: Make sure the platform's cpu, ram, and storage options satisfy your performance requirements by evaluating these alternatives.
- Scalability: Consider the platform's capacity to expand in response to changes in workload, including auto-scaling features and the ability to manage heightened traffic or workload needs.
- Network performance: To Guarantee effective communication speed, evaluate the platform's network connectivity, bandwidth, and latency.
- Cost and pricing models: Understand the cost structure and pricing models associated with the compute platform. Consider the following:
- Pricing models: Assess if the platform provides pricing models suitable for your usage, such as pay-as-you-go or subscription-based plans.
- Cost optimization: Consider the long-term tco, including upfront costs, operational expenses, and potential savings through scalability or resource optimization.
- Cost transparency: Ensure clear visibility into compute resource, storage, data transfer, and additional service costs to maintain transparency in pricing structure.
- Security and compliance considerations: Ensure that the compute platform meets your security and compliance requirements. Consider the following:
- Data security: Assess the platform's encryption, access controls, and compliance with security standards to ensure data protection.
- Compliance requirements: Determine if the platform meets industry-specific regulations and data handling requirements.
- Audit and monitoring: Evaluate the platform's logging and monitoring features for detecting and responding to security incidents or compliance breaches.
How do HPE Compute platforms enhance innovation and security?
Trusted security by design:
From silicon to software, from factory to cloud, and from generation to generation, HPE ProLiant is engineered with a fundamental security approach to defend against increasingly complex threats through an uncompromising focus to state-of-the-art security innovations that’s built into our DNA. Protect your infrastructure, workloads, and data from threats to hardware, and risks from third-party software, with a trusted edge-to-cloud security posture built on an HPE compute core hardened through a proven zero-trust approach to security.
