Common Cloud Engineering Challenges and Solutions

Introduction

Cloud computing’s incorporation of AI and machine learning will lower expenses while improving the efficiency of cloud services. Yet, numerous challenges arise when deploying cloud infrastructure for a company. In this blog, we discuss some of the common cloud engineering challenges and solutions useful for beginners. Check out our cloud computing course syllabus. 

Common Cloud Engineering Challenges and Solutions

Cloud engineers may encounter many challenges, such as:

Data Migration Challenge

Challenge: Cloud data migration can take a long time, and not all businesses are ready for it. 

• Some face obstacles include extended outages, security issues, and trouble structuring and converting data. 
• Projects involving cloud migration frequently turn out to be more costly and difficult than expected.

Solution: Companies need to set aside funds to employ internal experts in cloud data migration. 

• Before investing in the newest platforms and services offered by CSPs, these professionals should conduct a thorough analysis of the problems and solutions associated with cloud computing.

Flexibility and Interoperability

Businesses want a platform for business intelligence that can grow with them. 

Challenge: One of the most significant interoperability issues in cloud computing is moving apps between various cloud ecosystems. 

For example, among the basic challenges encountered are:

• Modifying application stacks to satisfy the target cloud environment’s requirements.
• Ensuring that data encryption runs smoothly during the transfer.
• Putting up functional networks inside the intended cloud.
• Efficiently overseeing services and apps in the intended cloud environment.

Solution: Before starting projects, establish cloud interoperability and portability policies to solve these cloud computing concerns. 

• Furthermore, in public, private, and hybrid cloud ecosystems, multi-layer authentication and authorization methods are strongly advised for account verification.

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Information Security and Policy

Hackers pose a serious threat to open ports. One of the biggest security risks associated with cloud computing is data leakage. 

Challenge: Data security is a major concern when working with cloud systems. 

• Since users are in charge of their data and not all cloud providers can ensure complete data privacy, information security is one of the biggest challenges in cloud computing. 
• Lack of visibility and control tools, identity access management, data misuse, and incorrect cloud setup configuration are all common causes of cloud privacy breaches.

Solution: To lessen any security flaws, configure network hardware and install the most recent software upgrades. 

• Security threats can also be avoided by using firewalls and antivirus software, as well as by increasing bandwidth to guarantee data availability.

Significant Dependency on the Network

Challenge: Insufficient network bandwidth is a typical problem in cloud computing when transferring huge amounts of data to and from cloud servers. 

• In addition, there is a greater chance of unforeseen disruptions and data exposure.

Solution: Make use of a two-pronged strategy. 

• First, spend money on choices with more bandwidth. 
• Second, to reduce reliance on network capabilities, concentrate on improving operational efficiency.

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Availability & Dependability

Challenge: Cloud computing has significant issues due to the instability and scarcity of certain services. 

• Businesses need to look for more resources to suit their changing needs. 
• The important user data is vulnerable when a cloud vendor is hacked or otherwise impacted, which adds to the many security concerns and difficulties the cloud sector confronts.

Solution: The NIST Framework standards should be implemented in your cloud environment.

Utilization of Multi-Cloud Environments

When implementing a multi-cloud strategy, the intricacy of the technology may provide difficulties. 

Challenge: Configuration errors, insufficient security patches, poor data governance, and a lack of granularity are some of the difficulties in operating a multi-cloud approach. 

• It can be difficult to adopt data management standards across many platforms and efficiently monitor security requirements.

Solution: Start by implementing a multi-cloud data management system. 

• However, not all tools offer specialized security features, particularly in light of the growing complexity and sophistication of multi-cloud settings.

Hybrid-Cloud Complication

Challenge: Furthermore, this complexity is exacerbated by the various security problems. 

• Managing computing, storage, and services when utilizing a combination of private cloud services, public clouds, and on-premises infrastructures is known as hybrid-cloud complexity. 

Solution: Putting in place centralized cloud management systems, improving automation, and fortifying security measures are the best tactics.

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Performance Challenges

Challenge: The providers’ ability to provide their customers with pertinent services is crucial to the efficacy of cloud solutions. 

• An unexpected outage at a cloud vendor might have a big effect on the company. That is one of the main problems with cloud computing.

Solution: Choose suppliers who follow proactive, real-time SaaS monitoring guidelines.

Cloud Integration

Challenge: A lot of businesses require assistance connecting their on-premise tools and apps with public cloud services, especially those that operate in hybrid cloud settings. 

• This problem will probably persist for some time because it takes a lot of time, money, and experience to integrate contemporary cloud-based applications with legacy systems.

Solution: Examine integration options that allow cloud-based and on-premises systems to communicate with each other seamlessly. 

• These consist of implementing specific integration tools, middleware technologies, or API management systems.

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Lack of Control & Governance

Organizations must abide by industry laws and regulations while transferring data to the cloud. Companies may use tools that aren’t in line with their goal as a result of poor governance. 

Challenge: Good IT governance guarantees that the right tools are used and that assets are implemented under specified protocols and established standards. 

• The need for greater control, however, is one of the most common issues with cloud computing. 
• This causes businesses to use instruments that aren’t in line with their overall goal. 
• More authority for compliance, risk management, and data quality verification is therefore required of IT teams.

Solution: Modify conventional IT procedures to allow for cloud migration, which makes it possible to smoothly combine current procedures with developing technology.

Inadequate Cost Control

It can be difficult to manage expenses in the public cloud since it calls for different expertise than on-premises resources. 

Challenge: With the subscription model offered by cloud providers, you only pay for the services you utilize. 

• But over time, these expenses may mount up. 
• For instance, when companies don’t make the most of their resources, hidden expenses occur.

Solution: Use tools for monitoring resource usage and conduct routine system audits. 

• This makes it possible to effectively manage budgets and address the main issues with cloud computing.

Lack of Expertise & Understanding

Challenge: Finding the best cloud skills is proving to be a difficult issue for businesses. 

• There is a clear need for those with the necessary credentials. 
• Businesses require professionals to handle them successfully because workloads are constantly increasing and the market is seeing a boom in the introduction of new tools.

Solution: Hire or reskill experts with DevOps and cloud engineering backgrounds.

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Technological Solutions for Common Cloud Engineering Challenges

Here are some useful and common solutions to overcome other challenges

• Azure Security Center by Microsoft: allows for just-in-time virtual machine access to control the risk of open ports.
• Blockchain Technology: Makes enhanced database protection and data account encryption possible.
• ML-Based Prediction: An efficient cloud cost management solution may be offered by using machine learning (ML)-based resource forecasts.  

Conclusion

Cloud computing is one of the most useful technological tools, even with the challenges that have been discussed. Business intelligence (BI) is still being revolutionized by this technology, and its adoption rate is expected to rise sharply. Kickstart your learning journey with our cloud computing courses in Chennai.