What are some tips for choosing the right cloud computing service for software development?

There is no wrong answer. If your organization hasn't chosen a cloud provider and you aren't eyeing a specific managed service, there is no meaningful difference between the big 3 IaaS providers*. Ignore niche players unless you have reasons. Expect to change your decision as you scale. If you decouple everything you write from any cloud service, swapping clouds will be easy. Lambdas and OpenFaaS functions can be identical except for the entry point. PubSub or RabbitMQ should already be behind a message queue interface. Your scale, product, and culture will change as your business grows. Slam dunk choices now likely won't be great when your scale is a hundred times larger or you have ten teams instead of ten developers. * Azure sucks

In guiding medical software development, a robust private cloud is paramount. Emphasizing HIPAA-compliant security ensures data integrity, while high-performance resources tackle intricate algorithms. Isolated development environments guarantee code and data confidentiality. Scalability addresses evolving project demands. Integrating secure collaboration tools enhances team efficiency. These strategic considerations tailor cloud choices to the unique needs of medical software development.

You always need a bit of research into your cloud computing needs before you apply for a service. Here are some factors to consider: 1) Cost. 2) Scalability of the Project. 3) Proprietary use of code or Open source like Kubernetes. 4) Security.

Most of cloud services are good. I think most important is availability of skills and support. Team spend most of time to maintain the applications. Having a proper skillset is most important.

Choosing the right cloud computing service for software development involves considering several factors. Here are some tips to help you make the best decision: 1. Understand Your Needs 2. Service Offerings 3. Scalability and Flexibility 4. Security Measures 5. Cost Structure 6. Reliability and Uptime 7. Integration and Compatibility 8. Support and Documentation 9. Vendor Lock-in 10. User Experience and Feedback By carefully considering these factors, you can choose a cloud computing service that aligns with your software development needs, enabling efficient development, deployment, and scalability of your applications.

Once your requirements are clear, embark on a thorough comparison of various cloud providers. Assess factors like service reliability, pricing structures, security measures, and customer support quality. Evaluate compatibility with other tools and platforms, scrutinizing data center locations for potential impact on application latency and performance.

The most important thing is comparing the offerings and do not forget to check and compare it with your requirements. For that you can take the help of software analyst.

Tachez de vous dire que plus vous êtes gros et plus vous pouvez négocier sur des appels d'offre. Un prix plus bas ? Des formations gratuites, un accompagnement offert pendant quelques mois. N'hésitez pas non plus à vous entourer de personnes qui possèdent de l'expérience sur différents clouds, mais attention aux préférences de chacun. Il y a parfois des fanboys.

1. Service Quality: assess availability, reliability, and the overall quality of services offered. 2. Pricing and Billing: understand pricing models, hidden costs, and flexibility in scaling resources. 3. Security and Compliance: evaluate the provider's security measures and adherence to compliance standards. 4. Support and Customer Service: consider the level of support, responsiveness, and service-level agreements. 5. Compatibility and Integration: check compatibility with your tech stack and the ease of integration with other tools. 6. Geographic Location: consider the location of data centers for latency and performance optimization. 7. Use Evaluation Tools: leverage online tools like CloudCompare for a structured provider comparison.

While evaluating the offerings compare the cloud providers by the definition of well architected framework. for example AWS defines the following pillars. Operational Excellence Pillar. Security Pillar. Reliability Pillar. Performance Efficiency Pillar. Cost Optimization Pillar. Sustainability pillar.

Rigorously assess processing speed, memory allocation, and storage capabilities. For instance, simulate a surge in user activity to observe how the chosen cloud service handles increased demand. This ensures your software performs optimally under varying workloads. Conduct comprehensive benchmark tests, such as response time evaluations and resource utilisation analysis. By prioritising performance testing, you proactively identify and address potential bottlenecks, ensuring a seamless user experience.

Assess your needs and requirements. Choose a cloud provider that offers a wide range of services. Consider scalability and flexibility. Look for strong security features. Evaluate the cost and compare it with your budget. Consider the provider's reputation and customer support. Look for a cloud provider with a strong ecosystem of tools and services. Evaluate the provider's roadmap for future development.

Testing performance of different offerings is a good way to differentiate among major cloud providers along with cost and other factors.

Test your application's performance across various cloud environments. Utilize tools like LoadImpact for load testing and benchmarking to simulate different scenarios. Monitor key metrics such as response time, throughput, error rate, and availability. This helps identify issues, bottlenecks, and optimize your application for the chosen cloud environment.

While testing the performance , try to evaluate the product based on what is offered OOTB vs what needs to be customized or to be paid to get the benefit. Always keep an eye on the KPI using observability metrics which will provide an insight to improve or upgrade the existing service.

This is one of the important area through which the solution can be scalable for the future business. Always measure the system's performance with at least 3x load and see how does it perform.

I agree as this is very important for startups. When building a product and the use of your product exceeds the projected estimate use, this becomes very important as it can become a factor that still keeps your product in the market or off the market. This is where flexibility, cost and even RELIABILITY of the cloud infrastructure should be considered. Some cloud providers claim that they scale but can they really handle the requests at short notice. Always make your research based on those factors when you look at scaling.

Réfléchissez différemment d'un mode de développement "on-premise". Ici les machines peuvent être "éteintes", réduite en nombre. Il faut vraiment jouer avec la scalabilité de vos ressources sinon vous risquez de payer beaucoup plus cher que si vous étiez restez sur un environnement on-prem.

This is a very important factore. You need to see how fast the service provider can scale your application with the lowest cost and latency. It needs to be dynamic, fast and cheap. You only want to scale up when traffic is up and only pay for the time you actually used the service. Very good examples are AWS Lambda and Fargate .

Consider whether the cloud service can easily scale up or down based on your project's requirements. This flexibility ensures that you won't face limitations as your development needs evolve.

As a DevOps professional at Capitec, where seamless operations are paramount, reliability is at the core of our cloud strategy. Consider a scenario: in a banking app handling real-time transactions, downtime can impact customers and operations. When assessing cloud reliability, we focus on not just uptime guarantees but also the provider's transparency in sharing downtime metrics. For example, a cloud provider that openly communicates their historical downtime, along with robust disaster recovery plans, is key. This transparency is crucial in the financial sector, where trust and precision are non-negotiable.

Reliability is very important to gain the trust of the customers and it should be given the utmost importance to deliver the quality product.

Ultimately, it's pivotal to assess how the chosen cloud service influences your software development workflow. Reliability becomes paramount – seek a provider with unwavering service consistency, minimizing failures, downtime, and data loss. Prioritize high availability, a resilient backup and recovery framework, and transparent, proactive communication. Scrutinize the service level agreement (SLA) for guarantees and compensations in the event of disruptions. This ensures your development process remains resilient and uninterrupted in the chosen cloud environment.

Focusing on operational readiness and Chaos Engineering, we strengthen key aspects like backup, restore, and failover capabilities. Our study explores the modern landscape of Microservices and Cloud computing, emphasizing the need for a reliable and interconnected infrastructure. Transparent communication policies and scrutinizing SLAs, as outlined in our research, are vital for ensuring consistent service. Reference : G. Siwach, A. Haridas and N. Chinni, "Evaluating operational readiness using chaos engineering simulations on Kubernetes architecture in Big Data," 2022 International Conference on Smart Applications, Communications and Networking (SmartNets), Palapye, Botswana, 2022, pp. 1-7, doi: 10.1109/SmartNets55823.2022.9993998.

Another key aspect apart from already discussed is also availability of skills and support. In a software application's lifecycle on an average 10% of time is spent in building it, the other 90% of time is spent in managing the application and supporting it. Choosing the right set of tools which are widely supported for bugs and security vulnerabilities is essential. Apart from this ability to debug issues effectively, instrumentation capabilities to isolate nasty issues is a very important criteria while selecting a set of tools or frameworks.

Il me semble assez stratégique de choisir des services reposant sur des technologies qui ne sont pas dépendantes d'un fournisseur de services cloud, plut?t que sur leurs services propriétaires. Cela permet de ne pas s'enfermer et de changer plus facilement.

Cost management is an important point so that the choice of any cloud computing service remains the best choice. Carefully plan resources and requirements, using estimation tools. Implement budget policies, so you can limit spending per project. Use monitoring tools to control resource usage and receive notifications in the event of sudden spikes in usage or unexpected expenses. Use automatic scaling features when possible, so you don't pay for unused allocated resources. Maintain cleaning routines and choose low-cost storage for backups. Periodically review allocated resources.

It involves strategic considerations. Begin by defining project requirements and understanding scalability needs. Choose a provider with a strong record in security, compliance, aligning with industry standards. Evaluate the flexibility of services offered, ensuring they match the specific needs of your development stack. Consider cost structures, factoring in growth and usage fluctuations. Prioritize robust support, documentation for seamless integration. Leverage trial periods to test performance and assess user-friendliness. Finally, seek community feedback, reviews to gauge real-world experiences. This comprehensive approach ensures adoption of cloud services that align with development goals, scalability, & budget constraints.

It’s difficult to wrong with any major top 3 cloud providers but it’ll emphasize reasons to consider alternatives: - Proprietary features - Good developer relationship (can include generous free credits) with a small provider - Managed BaaS (Backend as a Service) providers which handle everything and anything server related so you can focus on product development