📌 21 Days of DevOps Interview -Day 14 — Describe your approach to disaster recovery planning in AWS. How would you use AWS services to achieve different DR objectives, such as low RTO (Recovery Time Objective) and RPO (Recovery Point Objective)? 📌
Have you ever wondered what keeps tech leaders up at night? One word: disasters. That’s where a solid Disaster Recovery (DR) plan comes into play, especially on platforms like AWS.
RTO and RPO:
✔️ RTO is about how fast you can bounce back after a disaster.
✔️ RPO It’s the maximum amount of data you can afford to lose.
Choosing Your AWS Tools Wisely
1️⃣Amazon S3 & Glacier for Backup: Regularly back up your data to Amazon S3, utilizing its durability and scalability. For long-term storage, transition backups to Amazon Glacier to reduce costs. In the event of a disaster, you can restore these backups to recover your data
2️⃣ AWS DMS for Continuous Database Replication: Use AWS DMS to continuously replicate data from your on-premises databases to AWS. In a disaster scenario, you can switch to the replicated database in AWS.
3️⃣Amazon Route 53 & CloudFront for High Availability: Use Amazon Route 53 for DNS management to perform health checks and route traffic to healthy regions or endpoints. Combine with Amazon CloudFront to cache content globally, reducing the load on origin resources and improving user experience
4️⃣ EC2 Auto Scaling & ELB: Use Auto Scaling to adjust the number of Amazon EC2 instances according to your defined conditions, ensuring your application has the necessary resources. ELB distributes incoming application traffic across multiple targets, such as Amazon EC2 instances
5️⃣ Pilot Light, Warm Standby, Multi-Site Approach: A scaled-down but fully functional version of your environment always runs in the cloud. It can be scaled up quickly in response to a disaster.
● Multi-Site: The application is deployed in multiple AWS regions, and Route 53 routes traffic to the active region. In the event of a disaster, traffic is rerouted to the backup region, achieving near-zero RTOs
🏁 Wrapping Up
Crafting a DR plan that’s as resilient as your business ambition is key. With AWS, you have a toolkit to tailor a strategy that meets your RTO and RPO targets, ensuring your operations are agile and robust.
📚 If you’re interested in more in-depth explanation of these topics, please check out my new book “Cracking the DevOps Interview”
Reference:
- LEVERAGING LARGE LANGUAGE MODELS TO OPTIMIZE COSTS IN AMAZON WEB SERVICE CLOUD https://www.researchgate.net/publication/384079875_LEVERAGING_LARGE_LANGUAGE_MODELS_TO_OPTIMIZE_COSTS_IN_AMAZON_WEB_SERVICE_CLOUD
- INTELLIGENT LOG MANAGEMENT WITH LARGE LANGUAGE MODELS FOR ANOMALY DETECTION AND RESOLUTION https://www.researchgate.net/publication/383861718_INTELLIGENT_LOG_MANAGEMENT_WITH_LARGE_LANGUAGE_MODELS_FOR_ANOMALY_DETECTION_AND_RESOLUTION
- LEVERAGING LARGE LANGUAGE MODELS (LLMS) FOR ENHANCED DISASTER RECOVERY IN AWS https://www.researchgate.net/publication/384399357_LEVERAGING_LARGE_LANGUAGE_MODELS_LLMS_FOR_ENHANCED_DISASTER_RECOVERY_IN_AWS
