Auto Scaling is a feature in AWS that automatically adjusts the number of EC2 instances in a group based on demand, ensuring optimal performance and cost efficiency.
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A VPC (Virtual Private Cloud) is a virtual network dedicated to your AWS account, allowing you to launch AWS resources in a logically isolated environment.
An Elastic Load Balancer (ELB) is a service that automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, to ensure high availability and reliability of applications.
Amazon S3 (Simple Storage Service) is an object storage service designed for storing and retrieving any amount of data from anywhere on the web, while Amazon EBS (Elastic Block Store) is a block storage service used with Amazon EC2 instances for storing data that requires low-latency access, such as file systems and databases.
To secure data in transit in AWS, use SSL/TLS for encryption during transmission and implement VPNs or AWS Direct Connect for secure connections. To secure data at rest, use AWS services like S3 Server-Side Encryption, EBS encryption, and RDS encryption, along with IAM policies to control access.
Google Kubernetes Engine (GKE) is a managed service that allows you to run and manage containerized applications using Kubernetes. It automates tasks like deployment, scaling, and operations of application containers across clusters of hosts.
In contrast, Compute Engine provides virtual machines (VMs) that you can use to run applications and workloads without the container orchestration capabilities of Kubernetes. GKE focuses on container management, while Compute Engine focuses on VM management.
Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. Its main services include:
1. **Compute Engine** – Virtual machines for running applications.
2. **App Engine** – Platform for building and deploying applications.
3. **Kubernetes Engine** – Managed Kubernetes for container orchestration.
4. **Cloud Storage** – Scalable object storage for data.
5. **BigQuery** – Data warehouse for analytics.
6. **Cloud Functions** – Serverless functions for event-driven computing.
7. **Cloud Pub/Sub** – Messaging service for event-driven systems.
8. **Cloud SQL** – Managed relational database service.
9. **Cloud Spanner** – Globally distributed database service.
10. **Cloud AI** – Machine learning services and APIs.
A GCP project is a container for resources and services in Google Cloud Platform, allowing you to organize and manage them. The resource hierarchy in GCP is structured as follows:
1. **Organization**: The top-level node that represents your company or organization.
2. **Folder**: An optional layer that can group projects and other folders for better organization.
3. **Project**: The actual container where resources like virtual machines, storage, and databases are created and managed.
This hierarchy helps in managing permissions, billing, and resource organization effectively.
In GCP, you can scale applications using Auto-scaling in Google Kubernetes Engine (GKE) by configuring the Horizontal Pod Autoscaler to adjust the number of pods based on CPU utilization or other metrics. In App Engine, you can enable automatic scaling by setting the desired instance class and configuring scaling parameters like min/max instances and target CPU utilization.
In Google Cloud Platform (GCP), firewall rules control the traffic to and from virtual machine (VM) instances. They are defined at the network level and specify allowed or denied traffic based on attributes like IP address ranges, protocols, and ports. Each rule can apply to specific targets, such as all instances in a network or specific instances with certain tags. By default, GCP allows all outbound traffic and denies all inbound traffic unless specified otherwise by the firewall rules.
