AWS Data Analytics Services: Glue, Athena, Redshift
AWS Glue automates ETL, Amazon Athena runs serverless SQL queries & Amazon Redshift performs data warehousing at scale, working together to enable efficient data analytics on AWS.
Associate Engineer-PwC || Technical Content Writer
AWS Glue automates ETL, Amazon Athena runs serverless SQL queries & Amazon Redshift performs data warehousing at scale, working together to enable efficient data analytics on AWS.
Task scheduling in Linux: AT (one-time), Cron (recurring) & Anacron (periodic). Choose wisely based on system needs & uptime.
Monitor & log your AWS environment with CloudWatch & CloudTrail. Real-time performance insights & security auditing ensure system health, security & compliance.
Optimize Amazon Redshift queries with distribution keys, sort keys, predicate pushdown & more. Reduce costs & improve analytics performance. Read the full guide to learn how: [link]
AWS offers multiple container services: ECS (managed orchestration), EKS (managed Kubernetes) & Fargate (serverless compute). Each caters to different needs, from simple Docker workloads to fully serverless containers.
Achieve high availability & scalability with Amazon RDS: deploy Multi-AZ, enable automated backups & snapshots, scale vertically or horizontally, monitor performance & use Auto Scaling for dynamic adjustments.
Optimize DynamoDB queries with partition keys, sort keys, GSIs, LSIs, Filter Expressions & Pagination for efficient data retrieval and improved performance in complex scenarios.
Amazon Aurora Global Database enables low-latency reads, disaster recovery & robust scalability for global applications, reducing costs & downtime. Ideal for e-commerce, social media & multinational enterprises.
Choose between Amazon RDS (cost-effective, versatile) and Amazon Aurora (high-performance, scalable) for database management based on workload, performance needs & budget.
Amazon S3 vs Glacier: S3 for frequent access & low-latency, Glacier for long-term archiving & ultra-low-cost storage. Choose wisely based on data access patterns & cost requirements.
Automate repetitive tasks on Amazon S3 with Batch Operations, saving time & reducing manual effort. Perform operations like copying, restoring, updating metadata & running Lambda functions across thousands of objects.
Boost cross-region data transfers with Amazon S3 Transfer Acceleration, leveraging CloudFront's edge locations for optimized network paths & reduced latency. Ideal for large-scale data processing, media streaming & backups.
Amazon S3 performance issues can be resolved by monitoring key metrics, using AWS tools like CloudWatch and CloudTrail, and implementing best practices such as optimizing request patterns and bucket design.
Amazon S3 offers flexible storage options with various classes & lifecycle policies to reduce costs while maintaining data availability & durability. By understanding these features, you can save costs without compromising performance.
Securing Amazon S3 buckets is crucial to protect sensitive data & maintain compliance. Follow best practices: use IAM roles, enforce encryption, monitor access logs & leverage AWS security services to reduce unauthorized access & data breaches risk.
AWS VPC explained: Securely isolate resources in a virtual network, control IP address ranges & internet access through gateways, and use Security Groups & Network ACLs for subnet-level security.
AWS VPC provides scalable, secure & customizable networking solution hosting resources like EC2 instances, databases & serverless apps in a private space with complete control over networking.
Elastic Load Balancing (ELB) distributes traffic across multiple instances, ensuring high availability & fault tolerance in modern cloud-based architectures on AWS.
AWS Auto Scaling dynamically adjusts resource capacity based on real-time demand, ensuring consistent performance & cost optimization for applications hosted on AWS.
EC2 storage options: EBS for persistent data, EFS for shared file systems & Instance Store for temporary high-performance storage. Choose wisely based on use case.
Protect Node.js apps from cyber threats with input validation, parameterized queries, strong auth & RBAC to safeguard against injection attacks, XSS & CSRF vulnerabilities.
Effective logging & monitoring in Node.js: Winston for flexible logging, Prometheus & Grafana for metrics & dashboards, health checks for app availability.