What are the most reliable cloud infrastructure practices?
Learn from the community’s knowledge. Experts are adding insights into this AI-powered collaborative article, and you could too.
This is a new type of article that we started with the help of AI, and experts are taking it forward by sharing their thoughts directly into each section.
If you’d like to contribute, request an invite by liking or reacting to this article. Learn more
— The LinkedIn Team
Cloud computing is the delivery of computing services over the internet, such as storage, servers, databases, networking, software, and analytics. Cloud infrastructure is the collection of hardware and software components that enable cloud computing. To ensure reliability, performance, security, and scalability of cloud services, cloud infrastructure needs to follow some best practices. In this article, we will discuss what are the most reliable cloud infrastructure practices and how they can benefit your business.
There are different types of cloud models, such as public, private, hybrid, and multi-cloud. Each one has its own advantages and disadvantages, depending on your business needs, budget, and compliance requirements. For example, public clouds are cheaper and more scalable, but less secure and customizable. Private clouds are more secure and customizable, but more expensive and less scalable. Hybrid clouds combine the best of both worlds, but require more integration and management. Multi-clouds use multiple cloud providers, but increase complexity and risk. You should choose the right cloud model that suits your reliability goals and aligns with your business strategy.
-
Mujoko .
Profesional Certified Cloud Architect | Solutions Architect
Design for failure is the key, their must be a time where the infrastructure is down, not accessible, for some duration of time. You name it cloud provider, they must have experience down time. It can happen to a single VM, service or can be an Availability Zone or can be larger area like a region. Design for failure when network down, how system can still be accessible. Design for failure when a single AZ impacted, how system still can accessible from other Availability Zone with High Availability leveraging Auto Scaling Group crossing different AZ. On DB level, to enable Multi AZ Database. Design for failure when a Region, how our DNS routing can fail over to other region and the other region can have same copy from the impacted Region
(edited) -
Asad Ali
A Global Nomad | Technology Advocate | Entrepreneur & Intrapreneur | Mentor | Cloud Enabler at SEB
In my opinion, you should -be capable of being multi-cloud with clear directives -have proper security committees for both security and architectural review of the cloud workload - design for resilience - have automation and the right IaC techniques - have proper governance and guardrails in place.
Cloud infrastructure is not immune to failures, such as hardware malfunctions, network outages, cyberattacks, or human errors. Therefore, it's important to design your cloud infrastructure for failure. This means anticipating and mitigating potential risks and minimizing the impact of disruptions. To do this, you should implement backup and recovery solutions to restore data and applications in case of a disaster. Additionally, you should use redundancy and load balancing to distribute workloads across multiple servers and regions. Fault tolerance and resilience techniques can also be applied to ensure that the system can continue to function even when some components fail. Finally, regular monitoring and testing of the cloud infrastructure can detect and resolve issues before they affect users.
-
Steve M.
Cloud computing || AWS Certified || I help small and medium businesses migrate to the cloud.⭐️
Regardless of how well you setup your infrastructure, you must always account for emergencies! In cloud terms we call this "Design for failure". "Design for failure" means having backup services running alongside the primary ones or having an automated recovery plan that replicates the architecture with minimal downtime. Design for failure ensures that in the event of an emergency, attack, unexpected outtage of a service or alternatively unexpected demand for a service, your system is able to remain online with minimal or no interruption to service provision.
-
Claudio Batistuta Purnama
Connect your Business with Chinese Users WITHOUT an ICP License - Develop Business in China | Low Latency and Analytics | Aspiring Board Member - Board Advisory | Investment, Technology, and Strategic Planning
As simple as not putting your eggs in one basket. By implementing multiple CDN infrastructure, you could reduce a single point of failure, and enhance your site/apps availability simultaneously. Minimizing the impact of disruptions. When one CDN fails, others will be ready to takeover and ensure your users has a seamless user experience while accessing your content.
Cloud infrastructure is dynamic and complex, requiring constant configuration, deployment, scaling, and maintenance. To reduce human intervention and errors, increase efficiency and consistency, and optimize resource utilization, you should automate and orchestrate your cloud infrastructure. Automation is the process of using software tools or scripts to perform repetitive tasks without manual input, while orchestration involves coordinating multiple automated tasks to achieve a desired outcome. By automating and orchestrating your cloud infrastructure, you can enjoy faster and more reliable delivery of cloud services and updates, lower operational costs and improved productivity, enhanced security and compliance by enforcing policies and standards, as well as greater flexibility and scalability by adapting to changing demands and conditions.
-
Steve M.
Cloud computing || AWS Certified || I help small and medium businesses migrate to the cloud.⭐️
Automation and orchestration when done well frees up man power and helps to ensure that 'boring' and repetitive tasks are dealt with efficiently. On the business end, it frees up your experts to finish more urgent tasks instead of wasting time and effort to continuously manually monitor the architecture. Additionally, proper automation and orchestration enables one to build a reliable, resilient and secure system.
-
Claudio Batistuta Purnama
Connect your Business with Chinese Users WITHOUT an ICP License - Develop Business in China | Low Latency and Analytics | Aspiring Board Member - Board Advisory | Investment, Technology, and Strategic Planning
Incorporate "Monitoring" for swift response, and "Automation" for error reduction and resource optimization. What I meant by the above statement is: 1. Monitoring, utilizing Real User Monitoring, will enable you to promptly detect traffic spikes or anomalies, enabling swift responses. 2. Implementing Multi-CDN Infrastructure will enhance redundancy and resilience, thus preventing single points of failure. 3. Utilize AI based technology (Machine Learning) to automate and orchestrate traffic to the best-performing CDN (Implement Multi CDN infrastructure first) based on latency and availability. Therefore ensuring consistent performance standards.
Cloud infrastructure is exposed to various threats, such as data breaches, denial-of-service attacks, ransomware, phishing, and insider attacks. To ensure the confidentiality, integrity, and availability of your data and applications, it is essential to secure and protect your cloud infrastructure. Encryption and key management can be used to safeguard data in transit and at rest. Identity and access management should be implemented to control who can access cloud resources and what they can do. Firewalls, antivirus, and intrusion detection systems should be applied to block unauthorized or malicious traffic. Additionally, the principle of least privilege and the shared responsibility model should be followed to limit the scope of potential attacks. Finally, staff and users should be educated on cloud security best practices and policies.
-
Vishal Bulbule
Google Cloud Champion || Technology Architect || 11 x Google Cloud Certified || Cloud Architect || Data Engineer || DevOps Engineer ||Certified Terraform Associate | Azure certified | Python | Blogger | Youtuber
Security should not be considered separately for all cloud components but it should be part of design since day 1. Always consider security best practices while designing cloud infrastructure.
-
Vishal Bulbule
Google Cloud Champion || Technology Architect || 11 x Google Cloud Certified || Cloud Architect || Data Engineer || DevOps Engineer ||Certified Terraform Associate | Azure certified | Python | Blogger | Youtuber
Prioritize security at every level. Implement robust security measures, including encryption, access controls, and regular security audits. Protect sensitive data and applications from potential threats.
Cloud infrastructure is not a one-time project, but a continuous process of improvement and optimization. To ensure the best performance, quality, and value of your cloud services, it's important to optimize and improve your cloud infrastructure. Metrics and analytics can be used to measure and evaluate performance, usage, and costs. Feedback and surveys can help you understand and meet user expectations. Benchmarks and best practices can be compared to other cloud providers and users. Additionally, tools and techniques can help identify and eliminate bottlenecks, inefficiencies, and waste. Finally, innovation and experimentation can open up new opportunities and solutions.
-
Lalit Prasad Kota
Cloud Strategy | Cloud Operations | Software Architect | Strategic Planning | Pursuing Post Graduate Certification from MIT xPRO
Some of the ways to optimize the cloud infrastructure: (1) Assess the customer needs on a regular basis and adjust the cloud resources accordingly. (2) Use Automation wherever possible. Automation can help in reducing operational costs and the risk of human error. (3) Keep an eye on your utilization levels. This can help in identifying underutilized resources and reduce the cost of spending. (4) Make use of reserved instances if the application architecture permits. Significant savings can be achieved. (5) Take advantage of spot instances that offer significant discounts on unused compute capacity. A word of caution with spot instances is they may not be available continuously and may not be suitable for all workloads.
-
Stephen SIMON
RD for C# Corner (India and Asia Pacific) | Leading one of the World's Largest Developer Community
Continuous optimization is essential for maintaining a reliable and efficient cloud infrastructure. This involves: 👉 Monitoring and Performance Analysis: Continuously monitor resource utilization, application performance, and network traffic to identify areas for improvement and potential bottlenecks. 👉 Cost Optimization: Analyze cloud resource usage and identify opportunities to reduce costs by optimizing resource allocation, rightsizing instances, and leveraging cost-saving features. 👉 Capacity Planning: Forecast future resource requirements based on business growth an
-
Disha Babla
AWS Technical Instructor, AWS India | Renowned Mentor | Champion AWS Authorized Instructor | Tech Evangelist | Speaker | Making an impact in Cloud Computing Industry
You can build modern, scalable applications on AWS to transform your organization, all while optimizing costs. AWS continuously innovates and delivers the latest technologies across every solution area so you can meet high performance needs and scale at a lower cost. The variety of AWS pricing options provide you with the flexibility to design your purchase plan to meet your specific workload needs. AWS offers a suite of management tools to monitor your application cost and identify modernizing and rightsizing opportunities. You can seamlessly scale up and down with AWS to operate more cost effectively in an uncertain economy and better position your organization for long-term success.
-
AMIT KUMAR
Principal - Technology | 6x AWS Certified | Solutions Architecture | Cloud | Java | Spring Boot | Quarkus | Micro Services | Containers | Kafka
The most reliable cloud infrastructure practices include ensuring redundancy and failover mechanisms, implementing strong security measures, regular backups, monitoring and automation, scalability planning, compliance with regulations, optimized resource utilization, robust disaster recovery plans, efficient data management, and regular performance testing. These practices ensure high availability, data protection, efficient operations, and overall reliability in the cloud infrastructure.