#2 Level up Your Career: AWS Cloud Computing

#2 Level up Your Career: AWS Cloud Computing


6 min read

"Tell me, and I forget, teach me, and I may remember, involve me, and I learn" - Benjamin Franklin

Here is another write up on AWS Cloud computing series. I do regularly share my AWS knowledge and connect with me on LinkedIn for more update.

If you are starting/preparing for AWS Cloud Practitioners exam have a look here

Unlock the secrets of AWS cloud computing! This article demystifies confusing terms like "highly available," "scalable," and "fault tolerance" etc,.,

Hope this will be very helpful for you to start/refresh the concepts which is very frequently used in AWS Cloud computing.

Let's start exploring some important ones.


  • Think: Running complex scientific simulations or AI algorithms that require significant processing power.

  • Solution: Choose from compute services like EC2 for on-demand virtual servers, Lambda for serverless functions, or Fargate for containerized applications.

  • Example: Research institutions use EC2 instances to conduct large-scale scientific simulations without needing to invest in their own high-performance computing infrastructure.


  • Imagine: Delivering streaming content globally with minimal latency for a smooth viewing experience.

  • Solution: Utilize AWS's global network infrastructure with low-latency connections and edge computing services like CloudFront.

  • Example: Netflix leverages AWS's global network to deliver content to users worldwide with minimal buffering or lag, regardless of their location.


  • Need: A flexible and cost-effective storage solution for a variety of data types, from website images to customer records.

  • Solution: Choose from S3 for object storage, EBS for block storage, or EFS for file storage, depending on your access patterns and cost requirements.

  • Example: A photography website can store its high-resolution images on S3 for cost-efficient and scalable storage, while also enabling image sharing and manipulation through APIs.


  • Imagine: Managing multiple databases for different applications, requiring high performance and scalability.

  • Solution: Utilize managed database services like RDS for relational databases, DynamoDB for NoSQL databases, or Aurora for a high-performance MySQL/PostgreSQL compatible option.

  • Example: E-commerce platforms like Amazon rely on a combination of RDS and DynamoDB to manage customer data, product information, and order transactions efficiently.

Data Analytics:

  • Challenge: Analyzing large datasets for insights and trends to improve business decisions.

  • Solution: Use services like Redshift for data warehousing, Athena for serverless SQL queries, or Kinesis for real-time data streams.

  • Example: A logistics company uses Redshift to analyze shipping data and identify inefficient routes, leading to optimized delivery times and cost savings.

Highly Available (HA):

  • Imagine: Running an online store where even a minute of downtime can lead to lost sales and frustrated customers.

  • Solution: Implement HA with S3's multi-AZ configuration. Data is stored across geographically separate data centers, so if one region experiences an outage, your website remains accessible from the other.

  • Example: Amazon uses S3 HA to ensure its website and services are always up and running, even during major events like Prime Day.


  • Think: A popular social media app experiencing a sudden surge in users during a viral event.

  • Solution: Utilize EC2 Auto Scaling. Configure your application to automatically launch new instances (virtual servers) when traffic increases, ensuring smooth performance without manual intervention.

  • Example: Netflix uses Auto Scaling to dynamically adjust its resources based on real-time viewing patterns, providing a seamless streaming experience for millions of users globally.


  • Picture: A mission-critical application for a hospital handling patient data. Any errors or downtime could have dire consequences.

  • Solution: Deploy RDS Multi-AZ. Your database is replicated across multiple Availability Zones, automatically switching to a healthy replica in case of any failure.

  • Example: Hospitals worldwide rely on AWS's robust infrastructure and disaster recovery solutions to ensure the continuous availability of their critical medical applications.

Fault Tolerance:

  • Think: A natural disaster impacting your data center and potentially disrupting your business operations.

  • Solution: Implement disaster recovery solutions like S3 Glacier for data backup and CloudWatch alarms for proactive monitoring.

  • Example: Airlines utilize AWS's global infrastructure and disaster recovery solutions to ensure their booking systems and flight operations remain functional even during regional disruptions.

Capex vs Opex:

  • Traditionally: Building your own data center involves hefty upfront costs (Capex) for hardware, software, and maintenance.

  • With AWS: You pay only for what you use (Opex) through a pay-as-you-go model. No upfront investments, just scale your resources easily with your needs.

  • Example: A startup can launch its website on AWS without major upfront costs, focusing its resources on product development and growth, instead of managing hardware.


  • Explain the concept of latency and its importance for real-time applications like streaming and gaming.

  • Showcase AWS options like Amazon CloudFront for content delivery networks and edge computing services for minimizing latency worldwide.

  • Provide examples of companies like Netflix and Disney+ leveraging AWS to deliver low-latency streaming experiences.

Regulatory requirements:

  • Discuss how AWS helps businesses comply with industry regulations like HIPAA for healthcare or PCI-DSS for payment processing.

  • Highlight AWS's robust security features and data encryption methods to ensure data privacy and compliance.

  • Share examples of industries like finance and healthcare utilizing AWS's compliance-ready solutions for their sensitive data.


  • Demystify encryption terms like AES-256 and explain how AWS secures data at rest and in transit.

  • Showcase encryption options like KMS and S3 Server-Side Encryption to protect sensitive data at user level and object level.

  • Illustrate real-world scenarios where data encryption on AWS is crucial, like protecting customer records or financial transactions.

Backup and restore:

  • Explain the importance of data backups and disaster recovery plans for business continuity.

  • Introduce AWS services like S3 Glacier for long-term backups and RDS Multi-AZ for automatic database backups and failover.

  • Share examples of companies like Airbnb using AWS disaster recovery solutions to recover quickly from unexpected events like server outages.


  • Discuss the importance of proactive monitoring for resource utilization, performance, and potential issues.

  • Showcase AWS tools like CloudWatch for metrics and alarms, and X-Ray for application tracing and troubleshooting.

  • Provide examples of businesses using AWS monitoring to optimize resource usage, prevent downtime, and improve application performance.


  • Discuss the importance of proactive monitoring for resource utilization, performance, and potential issues.

  • Showcase AWS tools like CloudWatch for metrics and alarms, and X-Ray for application tracing and troubleshooting.

  • Provide examples of businesses using AWS monitoring to optimize resource usage, prevent downtime, and improve application performance.

Top 3 Reasons to Learn AWS Cloud Computing:

1. High Demand and Career Growth: AWS skills are in high demand with competitive salaries and strong career prospects across various industries.
2. Innovation and Future-Proof Skills: AWS constantly innovates with cutting-edge technologies like AI and machine learning, equipping you with future skills for an evolving tech landscape.
3. Flexibility and Cost-Effectiveness: AWS enables you to build and adapt applications quickly and efficiently, scaling resources based on your needs without significant upfront investments.

Call to Action:

Ready to take your career to the cloud? Don't be left behind! Dive into the exciting world of AWS and:

  • Explore free resources and tutorials: Get hands-on experience with cutting-edge cloud technologies.

  • Enroll in AWS certifications: Validate your skills and open doors to lucrative career opportunities.

  • Join the thriving AWS community: Connect with experts, share knowledge, and build your network.

Start your cloud journey today and unleash the power of AWS to innovate, scale, and achieve your business goals! Here are some of the AWS learning resources help you to gain more knowledge.

๐Ÿ—’๏ธ Learning path to become AWS Cloud Engineer ๐Ÿ‘‰ https://lnkd.in/dE6eAs6A
Here is your guide on how to start your AWS Career ๐Ÿ‘‰ https://lnkd.in/d3uqEPjD
Here is AWS Cloud practitioner exam study notes ๐Ÿ‘‰ [lnkd.in/dguiyMqq

๐Ÿค”](lnkd.in/dE6eAs6A) Thinking about certifications ?
๐Ÿ“Š Great visuals on AWS Certification Journey ๐Ÿ‘‰ https://lnkd.in/dXdrzk8A