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How do you resolve cloud computing issues?

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Cloud computing is a powerful and convenient way to access various services and resources over the internet, but it also comes with its own challenges and risks. If you use cloud computing for your personal or professional projects, you may encounter issues such as security breaches, performance bottlenecks, data loss, compatibility problems, or vendor lock-in. How do you resolve these issues and ensure that your cloud computing experience is smooth and reliable? Here are some tips and best practices to help you out.

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Alessandro Parisi ??

Adversarial AI Researcher, Data Protection & Cybersecurity Specialist
Jonathan Claeys

Founder at Rad Web Hosting, a Dallas, Texas-based cloud and VPS provider
Antonio Bartolozzi

Contract Professor @ University of Trieste | MD Auditor | Medical device software design

1 Security Issues

The security of data and applications in the cloud is a primary concern for cloud computing users. To protect against unauthorized access, data leakage, or malicious attacks, it's important to follow some basic security measures. These include selecting a reputable and trustworthy cloud service provider that offers encryption, authentication, backup, and audit features; using strong passwords and multi-factor authentication for your cloud accounts and devices; encrypting your data before uploading it to the cloud and using secure protocols for data transfer; monitoring your cloud activity and logs for any suspicious or abnormal behavior; and updating your software and systems regularly to fix any vulnerabilities or bugs.

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2 Performance Issues

Optimizing cloud performance requires some fine-tuning. To begin, choose a cloud service provider with a high availability, scalability, and reliability guarantee. Utilizing a content delivery network (CDN) can reduce latency and bandwidth consumption. Additionally, you should scale your cloud resources to match your demand and traffic patterns. It's also important to test and benchmark your cloud applications and services to identify and resolve any performance bottlenecks or issues. Lastly, caching and compression techniques can improve your cloud response time and efficiency.

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3 Data Issues

Data is essential for any cloud computing project, yet it can also be the root of various issues, from data loss and corruption to inconsistency and inaccessibility. To secure your data and guarantee its quality and availability, you need to implement some data management strategies, such as backing up your data regularly and storing it in multiple locations or platforms, using data recovery and restoration tools or services in case of data loss or damage, validating and verifying your data for accuracy and completeness, utilizing data synchronization and replication techniques to maintain data consistency and integrity across different cloud environments, and employing data migration and integration tools or services to move or transfer your data between different cloud platforms or providers.

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Jonathan Claeys

Founder at Rad Web Hosting, a Dallas, Texas-based cloud and VPS provider
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“Data issues” is such a broad subject which makes it particularly difficult to troubleshoot. It can refer to any number of cloud-adjacent issues ranging from data transfer to missing data to data fees. And sometimes, all three strike at once ??. It’s a good practice to overly backup business critical data at frequent restoration points so that when issues occur, loss is minimized. The best thing I’ve learned is to store backups in multiple operator-neutral facilities so that when and if an upstream has issues delivering, your business isn’t totally reliant upon that single provider to restore service. Make a plan for exactly how to handle the worst-case scenarios to minimize their impact.

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4 Compatibility Issues

Compatibility is an essential factor when considering cloud computing, as it determines the interoperability and integration of your cloud services and applications with other systems or platforms. To ensure your cloud solutions are compatible, you should select a cloud service provider that supports common standards and protocols, such as RESTful APIs, JSON, XML, or OAuth. Additionally, you should use cloud-native or cloud-agnostic tools and frameworks to develop your cloud applications and services, such as Docker, Kubernetes, or Serverless. You can also use cloud adapters or connectors to bridge the gap between different cloud platforms or providers. Lastly, you should utilize cloud testing and debugging tools or services to check and fix any compatibility issues or errors.

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Antonio Bartolozzi

Contract Professor @ University of Trieste | MD Auditor | Medical device software design
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The compatibility issue is huge and actually difficult to achieve for software working in high security/safety environment. In fact, public cloud services change version constantly, making maintaining a validated state virtually impossible.

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5 Vendor Issues

Vendor issues are a potential problem of cloud computing, as they relate to the dependency and relationship between you and your cloud service provider. To avoid these issues and ensure more control and flexibility, you should choose a cloud service provider with a transparent and fair pricing, billing, and contract policy. Additionally, make sure they have a clear and comprehensive service level agreement (SLA) that covers availability, reliability, security, support, and compensation. Moreover, look for a cloud service provider with a good reputation and customer service record. Finally, avoid vendor lock-in by using open-source or standard-based cloud solutions and by having a backup or exit plan in case you want to switch or terminate your cloud service provider.

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Antonio Bartolozzi

Contract Professor @ University of Trieste | MD Auditor | Medical device software design
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Pay attention to SLAs. Unfortunately, SLAs in a cloud environment count for nothing if at a contractual level they are not accompanied by significant penalties. Having a good SLA (99.9999%) but which in the event of a violation involves only minor penalties (for example the discount on the payment of one month's cloud fee) practically means that the SLA can easily be breached by the cloud service provider.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Alessandro Parisi ??

Adversarial AI Researcher, Data Protection & Cybersecurity Specialist
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The most underrated threat regarding cloud security is the potentially exponential attack surface that it entails, along with the systemic (non diversifiable risk) that derives from that expanded attack surface. If added to the issues of lock-in, reduced data interoperability and the natural monopolistic tendency underlying cloud industry business model, it becomes clear how it is important to accurately assess the appropriate adoption of cloud architectures in respect to data protection and security.

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Antonio Bartolozzi

Contract Professor @ University of Trieste | MD Auditor | Medical device software design
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For medical devices, the cloud is a challenge bordering on the impossible. Cloud platforms undergo continuous changes, most of which are not reported to users, so maintaining a continuous validated state is impossible: the best the manufacturer can achieve is an intermittently validated state. This is not always acceptable: for example in environments such as clinical applications for intensive care, a continuous validated state is almost always necessary. To make a validated intermittent state acceptable it is necessary to carry out a risk analysis, a risk/benefit analysis that demonstrates that the loss of control of the environment does not affect the benefits for the patient and does not increase the risks

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How do you resolve cloud computing issues?

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6

1 Security Issues

2 Performance Issues

3 Data Issues

4 Compatibility Issues

5 Vendor Issues

6 Here’s what else to consider

Computer Science

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How do you resolve cloud computing issues?

1

2

3

4

5

6

1 Security Issues

2 Performance Issues

3 Data Issues

4 Compatibility Issues

5 Vendor Issues

6 Here’s what else to consider

Computer Science

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