How do you deal with the variability and unpredictability of IaaS resources and services?

This requires a multi-faceted strategy. First study the workload needs and performance goals. Capture precise objectives for resources and services. Compare providers against industry benchmarks, essential for aligning with best practices and identify potential gaps. Negotiate SLAs based on those benchmarks to ensure accountability. Testing is key—never rely solely on assumptions. Do it hands on, conduct performance tests to validate compliance with SLAs. Proactively monitor services, automate detection of anomalies, and optimize. Identify grey spots in resource behavior through analysis and address them before they escalate. Automation should focus on scaling and fine-tuning to minimize manual intervention and enhance predictability.

Assess, Automate, Adapt! ???? I'd start by assessing specific needs, ensuring IaaS selections align with project requirements. Comparing providers and negotiating strong SLAs sets a foundation for reliability. Continuous monitoring and testing identify variability, prompting timely adjustments. Based on real-time demand, automating scaling and optimization enhances performance and cost efficiency. Embracing a culture of learning and adaptation, as encouraged in "Lean Software Development" by Mary and Tom Poppendieck, enables us to respond dynamically to the ever-changing landscape of IaaS resources and services.

In general, the premise of cloud services is to provide consistent service as per the defined service SLA’s. To harness the power of the cloud you need to have robust architecture in place which provides you with the desired level of resiliency Public cloud offer multiple services and options to configure those services to achieve desired level of redundancy and resiliency. It is important to build a business continuity and disaster recovery strategy to overcome any unforeseen events which might disrupt the service availability. Almost all cloud providers have white papers and high level general guidance available to achieve required level of resiliency , durability and disaster recovery Opinions are my own and not the views of my employer

Sumaría ?Cuales son los requerimientos de seguridad/privacidad especiales que necesita? ?eventualmente podría requerir procesar datos sensibles? ?siempre? ?nunca? ?alguna restrición legal?, esto podría influír de gran manera en la elección del proveedor, y la región donde alojara las cargas de trabajo. Muchas veces omitimos la seguridad, cuando hoy en día, al hablar de nube es bien relevante, y de las primeras consideraciones a tomar en cuenta.

Making use of a cloud readiness evaluation tool. With the aid of this tool, you may assess your present IT setup and pinpoint the aspects that require modification or enhancement prior to cloud migration, it will give you costs and advantages of moving to the cloud, which can also offer you advice and best practices for your cloud migration. Compare various IaaS service providers and offerings

Al seleccionar un proveedor de IaaS, es importante comparar las características y servicios que ofrecen. Por ejemplo, algunos de los principales proveedores de IaaS incluyen AWS, Google Cloud, Azure, DigitalOcean, Linode, Vultr, Alibaba Cloud, IBM Cloud, Oracle Cloud y RackSpace. Cada uno de estos proveedores tiene sus propias fortalezas y debilidades, y la elección del proveedor adecuado dependerá de las necesidades específicas de tu negocio.

Once you clearly understand your needs, compare various IaaS providers and their services. Look for providers that offer flexible resource allocation, reliable performance, and robust monitoring and management tools. Consider pricing, service-level agreements, and customer support to make an informed decision.

1. Compute Services 2. Storage Services 3. Networking Services 4. Security and Compliance 5. Pricing and Cost Management 6. Global Reach and Availability Zones

When selecting a cloud provider, consider not only cost but also performance, security, and compliance capabilities. Different providers excel in different areas. For instance, one may offer better analytics services, while another excels in machine learning. In the context of sky computing, this step becomes even more vital as it involves evaluating how seamlessly a provider can integrate with others to ensure high availability and resource diversity.

To me, I often think the cloud IaaS providers are interchangeable. However, Take a look at the companies GTM plans for the up coming year. Do they allign with your goals? Is Google A competitor or yours or is Microsoft? all of these types of questions will make your decision for you

That's a good point, but only when you are big enough to enter that type of discussion with the IaaS provider. Many startups cannot enter that talk.

Un acuerdo de nivel de servicio (SLA) es un contrato que establece un conjunto de entregables que una parte ha acordado proporcionar a la otra. Por ejemplo, un SLA podría especificar el nivel de disponibilidad del servicio, los tiempos de respuesta, la capacidad de escalado y otros aspectos del servicio. Al negociar un SLA, es importante tener en cuenta tanto las necesidades de tu negocio como las capacidades del proveedor de IaaS.

Negotiating SLAs is critical. I remember a scenario where a client accepted a standard SLA and later struggled with unaddressed downtime issues. By negotiating the terms, we ensured that the SLA included stringent uptime guarantees and clear penalties for non-compliance. This provided a safety net and aligned the provider’s incentives with our need for reliability.

Service Level Agreements (SLAs) are key to ensuring quality service. They should cover aspects like uptime, data security, and disaster recovery. In the realm of sky computing, SLAs might include cross-cloud compatibility and failover support. It's important to have clear, measurable, and enforceable SLAs that align with your business needs.

Yes, yes and yes. And automate at the same time so you better control the resources you need at any given point in time. Monitoring without automation will have limited impact. If you can turn off resources you do not need as soon as possible then your saving are dramatically improved.

La supervisión y las pruebas son aspectos clave de la gestión de una infraestructura de IaaS. Por ejemplo, puedes usar herramientas de supervisión para rastrear el rendimiento de tus aplicaciones y servicios, y realizar pruebas para asegurarte de que están funcionando correctamente. Además, la supervisión puede ayudarte a identificar problemas potenciales antes de que afecten a tus usuarios.

Continuous monitoring and regular testing are essential for maintaining optimal performance and security. Use tools that provide real-time insights into resource utilization, application performance, and security threats. In a sky computing environment, monitoring tools should be capable of tracking resources across multiple cloud platforms, offering a unified view of the infrastructure.

Monitoring and testing are essential to ensure the quality and reliability of IaaS resources and services. You need to monitor and test your cloud infrastructure regularly and proactively, using various tools and methods, such as dashboards, alerts, logs, audits, benchmarks, load tests, stress tests, security tests, and disaster recovery tests. By monitoring and testing your cloud infrastructure, you can detect and resolve any issues or anomalies that may affect the quality and reliability of your IaaS resources and services. You can also collect and analyze data and feedback to evaluate and improve your cloud infrastructure.

Implemente monitoramento contínuo e testes proativos para identificar problemas e manter a qualidade do servi?o. Utilize painéis, alertas, logs e testes de carga e seguran?a para garantir a confiabilidade da infraestrutura.

Automation and optimization are crucial for managing the variability and unpredictability of IaaS resources. In my experience, using automation tools and scripts for tasks like provisioning, configuration, deployment, scaling, backup, recovery, and maintenance saves time, reduces errors, increases efficiency, and enhances security. Optimization tools and techniques improve performance, availability, security, and cost-effectiveness. These practices help adjust cloud infrastructure to meet the evolving needs and demands of the business, ensuring smoother operations and better resource management.

The only way to successfuly leverage IaaS is with automation, unless you are ok with paying your team to manually manage infrastructure, but is that really why you are in the cloud in the first place? No. You want the flexibility that comes with using IaaS from any provider. Take in to account the shared responsibility, uptime beyond the infrastructure is your job. This includes deployment, updates, patches and the like. Make sure you have playbooks and operating standards in place to ensure success with your IaaS platform.

IaaS itself is pretty limited if it comes to high availability. Yes, you can set up active-active clusters, but you still depend on the underlying operating system where your workloads run. Consider containerizing those workloads on Kubernetes, for example! It gives you much more flexibility, and you can even set up High-available environments across multiple IaaS providers.

I would merge with the above: Monitor, Test & Automate that way optimization becomes a reality and not just a dream or another burden for the ops team

La automatización y la optimización son estrategias clave para maximizar el valor de una infraestructura de IaaS. Por ejemplo, puedes automatizar tareas repetitivas, como el aprovisionamiento de recursos, para ahorrar tiempo y reducir el riesgo de errores. Además, puedes optimizar el uso de tus recursos para asegurarte de que estás obteniendo el máximo rendimiento por tu inversión.

The cloud landscape is constantly evolving. Stay updated with the latest trends, such as the adoption of multi-cloud and hybrid strategies, and emerging technologies like edge computing. In sky computing, being adaptable means being ready to integrate new cloud services and providers as they become available, ensuring your infrastructure remains cutting-edge and competitive.

A medida que utilizas una infraestructura de IaaS, es probable que aprendas más sobre tus necesidades y cómo puedes utilizar mejor los recursos disponibles. Esto puede llevarte a hacer ajustes en tu infraestructura para mejorar su rendimiento o para adaptarte a cambios en tus necesidades.

Staying informed and adaptable is essential in the ever-changing cloud landscape. I once worked on a project where new compliance regulations unexpectedly came into play. By staying updated and revising our SLAs and practices accordingly, we maintained compliance without significant disruptions. Continuous learning and adaptability have proven invaluable in maintaining a resilient and efficient cloud infrastructure.