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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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    infor@spinncode.com

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    Nairobi, Kenya
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7 Months ago | 45 views

**Course Title:** Continuous Integration and Continuous Deployment (CI/CD) **Section Title:** Monitoring and Logging in CI/CD **Topic:** Integrate monitoring and logging solutions into a deployed application. **Objective:** By the end of this lab, students will be able to integrate monitoring and logging solutions into a deployed application, ensuring they can effectively track and analyze application performance and troubleshoot issues. **Prerequisites:** Understanding of Docker, Kubernetes, and CI/CD pipelines. **Lab Overview:** In this lab, we will integrate Prometheus and Grafana for monitoring and ELK Stack (Elasticsearch, Logstash, Kibana) for logging into a deployed application. **Step 1: Set up Prometheus and Grafana** * Create a new Kubernetes Deployment and Service for Prometheus using the official Prometheus Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/prometheus-community/prometheus). * Create a new Kubernetes Deployment and Service for Grafana using the official Grafana Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/grafana/grafana). * Configure Prometheus to scrape metrics from your deployed application. You can find an example configuration [here](https://prometheus.io/docs/prometheus/latest/configuration/configuration/). **Step 2: Integrate ELK Stack for Logging** * Create a new Kubernetes Deployment and Service for Elasticsearch using the official Elasticsearch Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/elastic/elasticsearch). * Create a new Kubernetes Deployment and Service for Logstash using the official Logstash Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/elastic/logstash). * Create a new Kubernetes Deployment and Service for Kibana using the official Kibana Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/elastic/kibana). * Configure Logstash to collect logs from your deployed application. You can find an example configuration [here](https://www.elastic.co/guide/en/logstash/current/ls-config-config.html). **Step 3: Configure Application Logging** * Configure your deployed application to send logs to Logstash. This can typically be done by configuring the application to log to a file or stdout, and then configuring Logstash to read from that file or stdout. **Step 4: Verify Monitoring and Logging** * Verify that Prometheus and Grafana are correctly configured by checking the Grafana dashboard for metrics from your deployed application. * Verify that the ELK Stack is correctly configured by checking Kibana for logs from your deployed application. **Best Practices:** * Use Kubernetes Deployments and Services to manage Prometheus, Grafana, Elasticsearch, Logstash, and Kibana. * Configure Prometheus and ELK Stack to collect metrics and logs from your deployed application. * Use Grafana and Kibana to visualize metrics and logs. * Regularly review and update your monitoring and logging configurations to ensure they are still meeting your needs. **Common Issues:** * Prometheus and ELK Stack may not be collecting metrics and logs correctly. Verify that your configurations are correct and that the applications are sending metrics and logs. * Grafana and Kibana may not be displaying metrics and logs correctly. Verify that your configurations are correct and that the data is being sent correctly. **Lab Conclusion:** By completing this lab, you have integrated monitoring and logging solutions into a deployed application. This will allow you to effectively track and analyze application performance and troubleshoot issues. Remember to regularly review and update your monitoring and logging configurations to ensure they are still meeting your needs. **Additional Resources:** * [Prometheus Official Documentation](https://prometheus.io/docs/prometheus/latest/) * [Grafana Official Documentation](https://grafana.com/docs/) * [ELK Stack Official Documentation](https://www.elastic.co/guide/en/elastic-stack/current/index.html) * [Kubernetes Official Documentation](https://kubernetes.io/docs/) **Do you have any questions or feedback on this lab? Please leave a comment below.** Next topic: **Understanding Security Best Practices in CI/CD**
Course
CI/CD
DevOps
Automation
Testing
Deployment

Monitoring and Logging in CI/CD

**Course Title:** Continuous Integration and Continuous Deployment (CI/CD) **Section Title:** Monitoring and Logging in CI/CD **Topic:** Integrate monitoring and logging solutions into a deployed application. **Objective:** By the end of this lab, students will be able to integrate monitoring and logging solutions into a deployed application, ensuring they can effectively track and analyze application performance and troubleshoot issues. **Prerequisites:** Understanding of Docker, Kubernetes, and CI/CD pipelines. **Lab Overview:** In this lab, we will integrate Prometheus and Grafana for monitoring and ELK Stack (Elasticsearch, Logstash, Kibana) for logging into a deployed application. **Step 1: Set up Prometheus and Grafana** * Create a new Kubernetes Deployment and Service for Prometheus using the official Prometheus Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/prometheus-community/prometheus). * Create a new Kubernetes Deployment and Service for Grafana using the official Grafana Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/grafana/grafana). * Configure Prometheus to scrape metrics from your deployed application. You can find an example configuration [here](https://prometheus.io/docs/prometheus/latest/configuration/configuration/). **Step 2: Integrate ELK Stack for Logging** * Create a new Kubernetes Deployment and Service for Elasticsearch using the official Elasticsearch Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/elastic/elasticsearch). * Create a new Kubernetes Deployment and Service for Logstash using the official Logstash Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/elastic/logstash). * Create a new Kubernetes Deployment and Service for Kibana using the official Kibana Helm chart. You can find the Helm chart [here](https://artifacthub.io/packages/helm/elastic/kibana). * Configure Logstash to collect logs from your deployed application. You can find an example configuration [here](https://www.elastic.co/guide/en/logstash/current/ls-config-config.html). **Step 3: Configure Application Logging** * Configure your deployed application to send logs to Logstash. This can typically be done by configuring the application to log to a file or stdout, and then configuring Logstash to read from that file or stdout. **Step 4: Verify Monitoring and Logging** * Verify that Prometheus and Grafana are correctly configured by checking the Grafana dashboard for metrics from your deployed application. * Verify that the ELK Stack is correctly configured by checking Kibana for logs from your deployed application. **Best Practices:** * Use Kubernetes Deployments and Services to manage Prometheus, Grafana, Elasticsearch, Logstash, and Kibana. * Configure Prometheus and ELK Stack to collect metrics and logs from your deployed application. * Use Grafana and Kibana to visualize metrics and logs. * Regularly review and update your monitoring and logging configurations to ensure they are still meeting your needs. **Common Issues:** * Prometheus and ELK Stack may not be collecting metrics and logs correctly. Verify that your configurations are correct and that the applications are sending metrics and logs. * Grafana and Kibana may not be displaying metrics and logs correctly. Verify that your configurations are correct and that the data is being sent correctly. **Lab Conclusion:** By completing this lab, you have integrated monitoring and logging solutions into a deployed application. This will allow you to effectively track and analyze application performance and troubleshoot issues. Remember to regularly review and update your monitoring and logging configurations to ensure they are still meeting your needs. **Additional Resources:** * [Prometheus Official Documentation](https://prometheus.io/docs/prometheus/latest/) * [Grafana Official Documentation](https://grafana.com/docs/) * [ELK Stack Official Documentation](https://www.elastic.co/guide/en/elastic-stack/current/index.html) * [Kubernetes Official Documentation](https://kubernetes.io/docs/) **Do you have any questions or feedback on this lab? Please leave a comment below.** Next topic: **Understanding Security Best Practices in CI/CD**

Images

Continuous Integration and Continuous Deployment (CI/CD)

Course

Objectives

  • Understand the principles and benefits of CI/CD in software development.
  • Learn to set up and configure CI/CD pipelines using popular tools.
  • Master testing and quality assurance practices within CI/CD workflows.
  • Implement deployment strategies for various environments.
  • Explore monitoring and feedback loops in the CI/CD process.

Introduction to CI/CD

  • Overview of CI/CD: Definitions and Key Concepts
  • Benefits of CI/CD in Modern Software Development
  • Differences between Continuous Integration, Continuous Delivery, and Continuous Deployment
  • Understanding the CI/CD Pipeline
  • Lab: Set up a simple project repository and identify the CI/CD pipeline stages.

Version Control and CI Tools

  • Introduction to Version Control Systems (Git)
  • Branching Strategies and Git Workflows
  • Popular CI Tools Overview (Jenkins, GitHub Actions, CircleCI, Travis CI)
  • Integrating CI tools with Git repositories
  • Lab: Create a Git repository and integrate it with a CI tool of choice.

Building CI Pipelines

  • Creating Build Configurations in CI Tools
  • Defining Build Triggers: On Push, Pull Requests, and Scheduled Builds
  • Understanding Build Artifacts and Storage
  • Best Practices for Build Pipelines
  • Lab: Set up a CI pipeline that builds a sample application on code changes.

Automated Testing in CI/CD

  • Importance of Automated Testing in CI/CD
  • Types of Tests: Unit, Integration, and End-to-End
  • Setting Up Testing Frameworks (JUnit, Mocha, Selenium)
  • Configuring CI Pipelines to Run Tests Automatically
  • Lab: Implement automated tests in a CI pipeline and configure test reporting.

Continuous Delivery vs. Continuous Deployment

  • Understanding the Differences between Delivery and Deployment
  • Deployment Strategies: Blue-Green, Canary, and Rolling Deployments
  • Configuring Deployments in CI/CD Pipelines
  • Managing Environment Variables and Secrets
  • Lab: Create a pipeline that deploys a web application to a staging environment.

Containerization and Orchestration

  • Introduction to Docker and Containerization
  • Creating Docker Images and Containers
  • Orchestration with Kubernetes: Concepts and Benefits
  • Integrating Docker with CI/CD Pipelines
  • Lab: Dockerize a sample application and integrate it into the CI/CD pipeline.

Monitoring and Logging in CI/CD

  • Importance of Monitoring in CI/CD
  • Setting Up Application Monitoring (Prometheus, Grafana)
  • Implementing Logging Strategies for CI/CD
  • Feedback Loops: Learning from Deployments
  • Lab: Integrate monitoring and logging solutions into a deployed application.

Security in CI/CD

  • Understanding Security Best Practices in CI/CD
  • Static Code Analysis and Vulnerability Scanning
  • Managing Secrets and Credentials Safely
  • Integrating Security Tools into CI/CD Pipelines
  • Lab: Implement security checks in the CI/CD pipeline.

Scaling CI/CD for Large Teams

  • Scaling CI/CD Pipelines: Challenges and Solutions
  • Microservices and CI/CD Considerations
  • Managing Dependencies and Versioning
  • CI/CD in Agile and DevOps Environments
  • Lab: Develop a scalable CI/CD strategy for a microservices architecture.

Case Studies and Best Practices

  • Analyzing Successful CI/CD Implementations
  • Common Pitfalls and How to Avoid Them
  • Continuous Improvement in CI/CD Processes
  • Future Trends in CI/CD
  • Lab: Review a real-world CI/CD case study and present findings.

Final Project Preparation

  • Project Requirements Gathering
  • Defining CI/CD Pipelines for Final Projects
  • Setting Up Environments and Tools
  • Planning for Testing and Deployment
  • Lab: Work on final project planning and initial setup.

Final Project Presentation

  • Presenting CI/CD Projects
  • Feedback and Code Reviews
  • Discussing Challenges and Solutions Encountered
  • Course Wrap-Up and Q&A
  • Lab: Present the final project demonstrating the CI/CD process.

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