Cybersecurity Design Principles Simplified:

✅ Prevention: Cybersecurity design principles focus on preventing attacks. This includes things like implementing security controls, training employees, and monitoring for threats.

✅ Detection: Cybersecurity design principles also focus on detecting attacks. This includes things like using intrusion detection systems, monitoring for suspicious activity, and responding to incidents.

✅ Response: Cybersecurity design principles also focus on responding to attacks. This includes things like isolating infected systems, restoring data, and notifying law enforcement.

✅ Recovery: Cybersecurity design principles also focus on recovering from attacks. This includes things like restoring systems, rebuilding data, and implementing lessons learned.

✅ Continuous improvement: Cybersecurity design principles are always evolving. This is because the threat landscape is constantly changing. As a result, cybersecurity design principles must be continually updated to stay ahead of the curve.

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Learn Kubernetes (K8s) - Step by Step

1. What is Container - https://youtu.be/qkVLXNrcwHU

2. Container Orchestration - https://youtu.be/hresiIbikLk

3. What is Kubernetes - https://youtu.be/fIYLpk6ymDA

4. Core Concepts of Kubernetes (K8s) - https://youtu.be/lMSEbOF0RYU

5. Kubernetes Architecture - https://youtu.be/mgwxolw8bUQ

6. Kube API Server - https://youtu.be/Cpo71Nmp12A

7. What is ETCD in Kubernetes (K8s) - https://youtu.be/9X8byJhPlHg

8. What is Kube Controller Manager in Kubernetes - https://youtu.be/tRG19-JCpp8

9. What is Kube Scheduler in Kubernetes - https://youtu.be/L5wzeqkn9xk

10. What is Kubelet in Kubernetes? - https://youtu.be/26m1z3eEw5k

11. What is Kube Proxy in Kubernetes? - https://youtu.be/3uvqAt1-IBU

12. What is Pods in Kubernetes - https://youtu.be/HNd4Wg_jTvs

13. What is Yaml in Kubernetes - https://youtu.be/iH9twDj47aw

14. What is Replica Set in Kubenetes? - https://youtu.be/iXZXrpbRYsQ

15. What is Deployment in Kubenetes? - https://youtu.be/xTJqFncB5kk

16. What is Services in Kubernetes? - https://youtu.be/DPqykHIl3k8

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✅ Quick Learning - AWS DevOps (To The Point)

📌 AWS CodeCommit – maintaining code repository
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📌 AWS CodeBuild – automating the build
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📌 AWS CodeDeploy - automate the deployment
(Your code will deploy automatically)

📌 AWS CodePipeline - a reliable and fast software release process
(This is a Continuous Integration/Continuous Delivery Service from AWS)

📌 AWS CodeStar - provides tools to develop, build, and deploy applications quickly (Quickly develop, build, and deploy applications using template)

📌 AWS X-Ray - helps to identify and troubleshoot the root cause of any performance issue
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🔥 DevOps Life Cycle (Quick Overview)

📌 DevOps is a software strategy that bridges the gap between developers and IT staff
📌 It allows organizations to release small features quickly and incorporate feedback
📌 DevOps involves development, testing, and deployment of automated CI/CD pipelines

Phases of DevOps Life Cycle

📌 Continuous Development: Involves planning and coding of the software
📌 Continuous Integration: Developers commit changes to the source code frequently
📌 Continuous Testing: Software is continuously tested for bugs using automation tools
📌 Continuous Deployment: Code is deployed on the production server

Benefits of DevOps Life Cycle

📌 Better collaboration between teams
📌 Increased efficiency and higher quality
📌 Reduced failures and ability to make changes quickly in real-time

Tools used in DevOps Life Cycle

📌 Version control system: Git
📌 CI servers: Jenkins, GitLab CI
📌 Automation tools: Puppet, Chef, Ansible

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🔥 Monitoring tools used in Site Reliability Engineering (SRE) role:

Monitoring tools are essential for an SRE team to track the performance, availability, and health of systems. Some commonly used monitoring tools include:

✅ Prometheus: A popular open-source monitoring tool that collects and stores time-series data. It provides a flexible querying language (PromQL) and has extensive integrations with other systems.

✅ Grafana: Often used in conjunction with Prometheus, Grafana is a visualization and alerting platform. It helps create dashboards, set up alerts based on defined thresholds, and perform data analysis.

✅ Nagios: An open-source system monitoring tool that actively checks services and hosts for issues, such as high CPU usage, disk space shortage, or network connectivity problems.

✅ Datadog: A cloud-based monitoring platform that supports a wide range of integrations, providing real-time monitoring, alerting, log management, and infrastructure visibility.

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