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🚀 Tech Enthusiast since 2014 | Cloud Maestro with expertise in AWS, Azure, GCP, and Oracle Cloud ☁️ | Navigating the cloud landscape since 2022 | Holder of 8 Cloud Certificates 🏅 | BCA Graduate 🎓 | Proficient in the programming languages of C, C++, GO, VB, and more 🖥️ | Entrepreneur with a focus on servers, NAS, firewalls, networking, and CCTV 🌐 | Architecting the future of tech, one line of code at a time.
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Follow my journey in AWS-DevOps-Pro-Diaries" a series documenting my pursuit of AWS DevOps Engineer Professional Certification. Unravel cloud-native operations, CI/CD, and automation insights.
Greetings, fellow learners! Today unfolds another chapter in my AWS DevOps certification journey, and I'm thrilled to share the knowledge gained on Day 8 through Stéphane Maarek's Udemy course. 💡 Course Progress - Day 8: Exploring CloudWatch, Amazon...
Introduction In the high-speed world of DevOps, Continuous Integration and Continuous Delivery (CI/CD) pipelines are our bread and butter. But come on, manual code reviews are as thrilling as watching paint dry and just as slow! Fortunately, the AWS ...
Yo, fellow tech enthusiasts! Guess what? On the 10th day, I took the plunge and tackled the AWS DevOps Exam like a boss. And guess what? Nailed it! 🤘🎓 How Did I Pull It Off? 🤔 Let me spill the tea on my winning strategy. First off, it's all about ...
Greetings, fellow learners! Today marks another significant milestone in my AWS DevOps certification journey, and I'm eager to share the knowledge gained on Day 10 through Stéphane Maarek's Udemy course. 💡 Course Progress - Day 10: Unraveling AWS Co...
Greetings, fellow learners! Today marks another enlightening chapter in my AWS DevOps certification journey, and I'm thrilled to share the knowledge gained on Day 9 through Stéphane Maarek's Udemy course. 💡 Course Progress - Day 9: Navigating AWS Ev...
Greetings, fellow learners! Today unfolds another chapter in my AWS DevOps certification journey, and I'm thrilled to share the knowledge gained on Day 8 through Stéphane Maarek's Udemy course. 💡 Course Progress - Day 8: Exploring CloudWatch, Amazon...
Greetings, fellow learners! Today marks another insightful chapter in my AWS DevOps certification journey, and I'm eager to share the knowledge gained on Day 7 through Stéphane Maarek's Udemy course.
💡 Course Progress - Day 7: Unveiling AWS Auto Scaling, ALB Rules, Multi-AZ Architectures, and More!
As we navigate through AWS intricacies, let's delve into the diverse topics covered and gain valuable insights for our cloud endeavors.
AWS Auto Scaling Groups is a service that automatically adjusts the number of Amazon EC2 instances in a group based on the demand for the application. Auto Scaling Groups can be used to maintain application availability and scale capacity up or down based on the application’s needs.
Auto Scaling Policies are rules that define how Auto Scaling should adjust the number of instances in a group based on changes in demand. Auto Scaling Policies can be used to scale up or down the number of instances in a group based on metrics such as CPU utilization, network traffic, or other custom metrics.
Auto Scaling Lifecycle Hooks are a way to perform custom actions when instances are launched or terminated in an Auto Scaling Group. Lifecycle Hooks can be used to perform tasks such as installing software, configuring instances, or performing other custom actions.
Event Notification in Auto Scaling Group is a feature that allows you to receive notifications when certain events occur in your Auto Scaling Group. You can use Amazon SNS or Amazon EventBridge to receive notifications when instances are launched or terminated, or when other events occur in your Auto Scaling Group.
Termination Policies in Auto Scaling Group are rules that determine which instances should be terminated when scaling in. Termination Policies can be used to control which instances are terminated first when scaling in, based on criteria such as instance age, launch configuration, or other custom criteria.
Warm Pools in Auto Scaling Group is a feature that allows you to maintain a pool of pre-warmed instances that can be used to quickly scale up your application. Warm Pools can be used to reduce the time it takes to launch new instances when scaling up, by keeping a pool of pre-warmed instances ready to use.
Application Auto Scaling is a service that lets you automatically scale resources in response to demand for your applications. Application Auto Scaling can be used to scale Amazon EC2 instances, Amazon ECS tasks, Amazon DynamoDB tables, and other AWS resources.
Elastic Load Balancer ALB Rules are a way to route traffic to different target groups based on the content of the request. ALB Rules can be used to route traffic based on the URL path, host header, HTTP header, or query string parameters.
NAT Gateway is a service that allows you to provide outbound internet connectivity to resources in a private subnet. NAT Gateway can be used to allow resources in a private subnet to access the internet, while still maintaining a secure environment.
Multi-AZ Architectures in AWS are architectures that span multiple Availability Zones in a region. Multi-AZ Architectures can be used to provide high availability and fault tolerance for applications, by ensuring that resources are available even if an entire Availability Zone becomes unavailable.
Blue-Green Architecture is a deployment strategy that involves running two identical environments, one active and one inactive. Blue-Green Architecture can be used to minimize downtime during deployments, by switching traffic from the inactive environment to the active environment once the deployment is complete.
Multi-Region Architecture in AWS is an architecture that spans multiple regions. Multi-Region Architectures can be used to provide high availability and disaster recovery for applications, by ensuring that resources are available even if an entire region becomes unavailable.
AWS Disaster Recovery is a set of tools and services that can be used to recover from disasters such as natural disasters, cyber-attacks, or other events that can cause data loss or downtime. AWS Disaster Recovery can be used to replicate data across regions, automate failover, and provide other disaster recovery capabilities.
RTO (Recovery Time Objective) and RPO (Recovery Point Objective) are two key parameters for disaster recovery planning. RTO is the maximum amount of time it should take to restore normal operations following an outage or data loss. RPO is the maximum amount of data the organization can tolerate losing. This parameter is measured in time: from the moment a failure occurs to your last valid data backup.
For example, if a company has an RTO of 4 hours and an RPO of 1 hour, it means that the company can tolerate losing up to 1 hour of data and it should take no more than 4 hours to restore normal operations following an outage or data loss.
✨ The Journey Continues: As Day 7 wraps up, I'm excited about the depth of understanding gained and the practical skills acquired. Stay tuned for more updates as my AWS DevOps journey continues to unfold!