
Join the first AWS simulated job interview with Rick Quraishi, an official instructor sharing hiring pointers from years of AWS, VMware, and cloud computing interview experience.
Describe S3 as a durable object storage service with unlimited capacity and extremely high durability, not a block storage solution, used for static websites, backups, and media hosting.
Learn to automate dev, test, and prod environments with infrastructure as code using CloudFormation, and explore orchestration options like Terraform, Ansible, Salt, Chef, Puppet, and Elastic Beanstalk.
Explore options to give on-premises apps access to NFS v4 storage using AWS Elastic File System or the file gateway, backed by S3.
Discover how spot instances save on EC2 by bidding on unused capacity, paying the current spot price up to a maximum, with termination if the price exceeds your cap.
Understand how AWS CloudFront, a content delivery network, caches content at edge locations and uses Route 53 to direct users to an origin such as S3, EC2, or on-premises.
Save on EC2 and S3 costs by using spot and reserved instances, savings plans, instance scheduler, right-sizing, and lifecycle rules to move data to cheaper storage classes.
Combine elastic load balancing, auto scaling, and Route 53 failover routing to maximize uptime across availability zones and regions, automatically health-checking instances and scaling to maintain capacity.
Migrate an on-prem Oracle to AWS via EC2 or RDS. Leverage DMS and the schema conversion tool for Aurora, with licensing options, backups, and cross-AZ high availability.
Configure VPC security across subnets with route tables, internet gateway, and NAT; apply network ACLs and security groups, and leverage a WAF sandwich with load balancers.
Chad Smith introduces a mock AWS sysops interview, detailing his certifications in architecture, sysops, networking, databases, and security, plus cross-cloud insight from Google Cloud, and his decade of AWS experience.
Explore options for backing up RDS with cross-region copy and varying retention, comparing RDS built-in features, CLI scripts, AWS Lambda with CloudWatch events, and AWS Backup.
Identify the AWS VPC resource creation order: VPC, subnets, database route tables, internet gateway, public route tables, NAT gateways, and private route tables, and note private versus database subnet differences.
Explore implementing a CloudWatch alarm that forwards to Slack via an SNS topic and a Lambda function, using an EC2 CloudWatch agent to deliver metrics and optional Jira integration.
Explore secure connectivity options to EC2 for OS-based operations, including bastion hosts in a public subnet with SSH, AWS Systems Manager session manager, and SSM run command for automated workflows.
Analyze how to alert on cross-region CloudWatch metrics, noting that composite alarms don't support multi-region data and that Route 53 health checks with existing alarms can be a viable workaround.
Plan and implement an application load balancer with both http and https listeners, multiple tls certificates, and a http-to-https redirect using a shell script and a sequence of CLI commands.
Learn how to efficiently list and manage a billion-object s3 bucket using parallel cli prefixes and s3 batch operations, including generating an s3 inventory report.
When Systems Manager is unavailable, use the AWS CLI to loop through DNS entries via bastion host, SSH into instances, and install and restart the CloudWatch agent on 500 instances.
Learn to handle unfamiliar AWS services in interviews by seeking details and showing problem-solving. Consult AWS documentation, whitepapers, blog posts, premium support, and sandbox testing before deployment.
Learn to handle mispronounced AWS services in interviews with tact, avoid embarrassing the interviewer, and use the AWS language analogy to land a SysOps role.
Learn an AWS interview strategy featuring a 5–7 minute phone filter, a 50-question assessment with confidence marks (zero, slash, X), and honest, skill-aligned questioning.
Explore fast, scalable oltp options on AWS for a five terabyte dataset, comparing DynamoDB, MySQL RDS, Aurora, and EC2 deployments, concluding Aurora offers hands-off simplicity and scalability.
Assess migration options for a ten-node on-prem Hadoop and Spark cluster to AWS, balancing full control with scalable, hands-off operation. EMR offers API compatibility and ecosystem support.
Compare Redshift and Athena trade-offs for analytics, noting Redshift for olap queries with partitioning, and Athena for ad hoc queries on S3 with columnar formats; note Redshift Spectrum bonus.
Evaluate real-time, posix-level shared block storage for an EC2 cluster and justify using EFS with scalable, high-throughput NFS storage, while noting FSx for Lustre/Windows as alternatives.
Explore a DynamoDB hot key problem in a provisioned table and fix it by moving to on-demand mode with adaptive capacity, including read capacity concepts and table porting.
Leverage the AWS Glue data catalog metastore to create a Hive-compatible unified data catalog for Athena, Redshift, EMR, and QuickSight across S3, RDS, and EC2.
Explore how to implement end-to-end encryption in an emr pipeline, leveraging emr security configs and kms to encrypt data at rest and in transit between oltp, redshift, and s3.
Enable VPC endpoints to give the EC2 HPC cluster secure access to S3 data and DynamoDB, removing the internet gateway, reducing latency and preventing double bandwidth charges.
Meet Marcos Lugo as he guides you through a simulated AWS developer interview. The session focuses on AWS knowledge with questions about programming and DevOps skills.
Propose an AWS-based solution to move an e-commerce front end, using S3 for static content and a content delivery network to deliver images, videos, and product data globally.
Migrate the product catalog from MySQL to DynamoDB to handle 150,000 concurrent shoppers with consistent performance at scale, and deploy catalog logic in containers using ECS or EKS.
Differentiate by highlighting your programming experience and testing AWS solutions, use the 12-month free tier to experiment, and prove competence with an associate certificate, such as in databases.
Explore cost-effective and scalable solutions for a Python script on a Debian EC2 instance that indexes catalog entries, from scheduled reservations to containerization with ECS, AWS Batch, or AWS Lambda.
Discover how to implement AWS microservices by aligning with your skills, choosing serverless with AWS Lambda, or containerized paths like Elastic Beanstalk, or EC2 with spot pricing.
Use Cloud9 as an online IDE to host and edit code inside AWS, connecting EC2 instances to a CodeCommit repository so developers work entirely in Cloud9 without downloading code.
Explains how to exchange messages between microservices with redundancy and reliability. Compares common database, API gateway, SNS, SQS, and EventBridge, highlighting SQS and EventBridge as robust solutions.
Show off your coding skills by sharing past projects and ready-to-run code. Set up your favorite IDE with SDKs and CLI tools, and consider a Cloud9 instance to impress employers.
Explore flexible strategies to run a PHP backend on AWS, from EC2 auto scaling to ECS with Fargate or container-based Lambda under size and time limits.
Configure your EC2 test environment to access the code commit repository by attaching an IAM role to the instance, avoiding long-term credentials.
Explore AWS deployment tools for developers, including CloudFormation, CodeDeploy, CodePipeline, CodeCommit, Elastic Beanstalk, OpsWorks with Chef and Puppet, Systems Manager, ECS, EKS, and EC2.
Compare monoliths and microservices by examining single code bases, decoupled services, external complexity, and fast-paced development, then prepare arguments for monolith-to-microservices migration based on context.
discover monthly updates and an on-screen link to discounts on all of the AWS coaches' courses, including VMware and other offerings, with deep price cuts.
"A very good course from Rick." - Andreas
"This course is exactly what I need right now." - Anthony
Are you interested in starting a career related to AWS, or looking to advance your career? This course will help you nail your interview and get your dream job!
A group of four AWS experts (Rick Crisci, Marko Sluga, Chad Smith, and Rich Morrow) have teamed up to create four simulated AWS job interviews. Each interview is different, and covers a unique set of Amazon Web Services skills.
Interview #1, by Rick Crisci, covers basic AWS knowledge, and how to design effective AWS architectures.
Interview #2, by Chad Smith, covers AWS System Operations tasks, and the skills you will need to continuously maintain a cloud infrastructure.
Interview #3, by Rich Morrow, covers AWS Big Data knowledge, and how to manage and move large quantities of data using Amazon Web Services solutions.
Interview #4, by Marko Sluga, covers Developer topics, and is ideal for candidates interested in starting a career in development on AWS.
The course is formatted so that you will listen to your interviewer ask a question, and then you will take a moment to formulate your answer. The interviewer will then explain the ideal answer, and the surrounding concepts that will help you truly understand the ideal solution. You'll also find some great insider tips on how to master the job interview from the AWS coaches, who all have experience hiring candidates.