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Easy Understanding Concepts of Kubernetes

DevOps automation has gone from simply making things more efficient to being an irreplaceable part of a school, college, or university’s cloud delivery strategy. Here’s what IT experts from educational institutions around the globe say about how automating DevOps practices has benefited their organizations, taken the pressure off staff, and helped make their jobs easier.

Read this article to know more about "Decoding DevOps Certification Exams Tips for Effective Preparation" https://lnkd.in/g_MphwZM

DevOps automation has gone from simply making things more efficient to being an irreplaceable part of a school, college, or university’s cloud delivery strategy. Here’s what IT experts from educational institutions around the globe say about how automating DevOps practices has benefited their organizations, taken the pressure off staff, and helped make their jobs easier.

I just finished the course “Azure for DevOps: Designing a Strategy” by Paul Hacker! Check it out: https://lnkd.in/drP2QAd3 #azuredevops.

Key Takeaways: • Relevant to teams looking to transform On-Prem to AWS Cloud using available resources and minimal tweaks to the entire workflow. • Utilizing Continuous Integration Services, AWS Code Build procedure, and build spec would be easy to understand if you have worked with Ansible Playbooks or similar structures for mass deployments across multiple resources. Managing artifacts with hooks optimizes the deployments reusing the existing scripts written in different languages. • Deployment configuration options with limited resources, instantiation using clear boundary limits adds so much flexibility. • AWS CodePipeline with sequential or parallel runs orchestrated to your need, adding multiple stages, choosing an action provider in the same or different regions with an optional Manual Approvals makes the entire process flow seamless. • In-Place and Blue/Green Deployment types are very helpful when working with applications that require complex integrations with 3rd party software. • CloudWatch logs are helpful in determining the right sizing. Metrics, Events, and Alarms with SNS notifications would help in Rollback before going live. Just finished the course “DevOps with AWS” by Dipali Kulshrestha! Check it out: https://lnkd.in/eBYZpTMu #devops #amazonwebservices.

🎓 Course Completed: Mastering Kubernetes for Application Deployment! I'm excited to announce that I've successfully completed a comprehensive course focused on Kubernetes and mastering application deployment! What I Learned: 1️⃣ Deploying Applications at Scale: Understanding how to manage and deploy containerized applications seamlessly using Kubernetes was a game-changer. I can now efficiently handle rolling updates, rollbacks, and ensure zero downtime deployments. 2️⃣ YAML Configuration Mastery: Crafting deployment manifests and configuring resources like pods, services, and persistent volumes with YAML has become second nature. This skill is essential for fine-tuning application performance and reliability. 3️⃣ Load Balancing & Scaling: I explored how Kubernetes ensures high availability by load balancing traffic and automatically scaling applications based on demand, which is vital for handling production workloads. 4️⃣ Resource Management: From setting up resource limits to understanding pod scheduling and namespaces, I learned how to optimize infrastructure and keep applications running smoothly. 5️⃣ Secrets & ConfigMaps: I now have the knowledge to manage application secrets and configurations securely, ensuring that sensitive data is always protected. 6️⃣ Hands-On Deployment: The course was packed with practical labs, where I deployed real-world applications, troubleshooted issues, and implemented best practices for security and performance. This learning journey has equipped me with the skills to deploy, scale, and manage containerized applications confidently on Kubernetes. I'm ready to tackle complex deployment scenarios and continue growing in the DevOps and cloud infrastructure space! #kubernetes #devops #cloud

Just finished the course “Azure for DevOps: Designing a Strategy” by Paul Hacker! Check it out: https://lnkd.in/dcWgS_hq #azuredevopsservices.

🚀 Excited to share some important DevOps terms and tools! Here's a quick overview: 🔗 Version Control Systems: GitHub and GitLab are essential for managing code, enabling collaboration, and ensuring secure access from anywhere. ☁️ Infrastructure as Code tools: Terraform and Pulumi automate the creation and management of cloud infrastructure, reducing setup time and effort. 🔧 Configuration management tools: Ansible and Puppet automate server configuration, ensuring consistency and scalability across multiple servers. 🔄 CI/CD pipelines: These automate the process of building, testing, and deploying applications on servers or containers, ensuring efficient delivery. 💡 Microservices architecture: Allows for independent, scalable services, with Docker facilitating containerization for efficient deployment and management. ⚙️ Container orchestration tools: Kubernetes automate the deployment and management of containerized applications, ensuring scalability and reliability. 📊 Monitoring and alerting tools: Prometheus and Grafana ensure application health and performance, enabling proactive issue resolution.

🚀 Excited to Share My Latest Achievement! 🌟 I’ve successfully completed the “DevOps with AWS” course by Dipali Kulshrestha on LinkedIn Learning! This course deepened my understanding of AWS DevOps practices, including: ✅ Automating infrastructure with IaC ✅ Building CI/CD pipelines ✅ Monitoring, logging, and scaling in AWS A huge thanks to Dipali for such an insightful course. Ready to apply these skills in real-world projects! #DevOps #AWS #CloudComputing #ProfessionalGrowth