DevOps Lifecycle
Certified DevOps Engineer | SRE | Cloud & Automation Enthusiast♾️ I am Rostris Certified DevOps Engineer– Certid: R-23-7073. Pursuing a Diploma in DevOps Engineering, specializing in Kubernetes, Docker, and Google Cloud, working with Kode Kloud Engineer Handson Real Time Industry Level Project. ➡️What I Know? Skills-Important Link -Project-Certificate-Just scroll down -⬇️ Technical Skills: 1.Operating Systems: Linux, Window. 2.Programming Languages: Golang, Shell Scripting, Python. 3.Tools: Jenkins, GIT, Perforce, Docker, Kubernetes, Helm, JFrog Artifactory. 4.Databases: MangoDB, Mysql, Postgres. 5.Project Methodology: Agile, Scrum, Waterfall. 6.Cloud Methodology: AWS, GCP. 7.AWS Services: IAM, EC2, S3 Storage, VPC, Security Group, ACM, EKS, RDS, Cloud Formation. Professional Skills : Experience in Golang Scripting, shell scripting, ansible playbook, middleware services (WebLogic) and Infrastructure Services. Exposure in Production supporting env on Linux OS and cloud native Services on AWS. DevOps Skills : 1.Kubernetes Cluster deployment, management and administration. 2.Build deployment, Configuration Management. 3.Deploying Continuous Integration and Deployment Pipeline. Trending Technologies Related To DevOps : 1.Devops Tools: Jenkins, GIT(Gerrit), Oracle, Docker, Kubernetes ,Helm, Maven, Terraform, Operating systems: Unix, Linux, Windows. 3.Application Servers: WebLogic. 4.Source Code Management: GIT. 5.Database: Oracle, Postgres. 6.Scripting: Shell, Python, Ansible. 7.Project Methodology: Agile, Scrum, Waterfall. 8.AWS Services : IAM, EC2, S3 Storage, VPC, Security Group, ACM, EKS, RDS, Cloud Formation. My Important Link: 1.Portfolio : https://www.linkedin.com/in/shivamvishwakarm1/ 2.Bloging website: https://shivamvishwakarma.hashnode.dev/ 3.Instagram: https://www.instagram.com/dev_shiv_ops/ 5.StackOverflow: https://stackoverflow.com/users/22784598/shivam-vishwakarma
Hello friends this side Mr. Shivam and so let’s connect with me👋
It's time to apply our learnings and skills to the world of #DevOps
Here is the complete explanation of #DevOps lifecycle, which I learned from many blogs, reports and AI ,Tools, DevOps courses etc.
♾️ DevOps Lifecycle♾️
📝Plan -➡️-💻Code- ➡️-🔧Build- ➡️-🧪 Test -➡️-🚢 Release -➡️-
🌐Deploy -➡️-⚙️Operate-➡️- 👀 Monitor-➡️-🔄Feedback & Optimize
♾️DevOps Lifecycle: Streamlining Development & Operations♾️
📝 Plan
Every successful project starts with a solid plan! In this stage, teams define goals, outline project requirements, assign roles, and map out timelines. Clear communication and collaboration set the foundation.
#DevOps #Projectplanning #Agile #SDLC
💻 Code
Developers get to work! Code is written, reviewed, and managed using version control systems to ensure collaboration and continuous improvements. It's all about writing clean, reusable, and scalable code.
#Codinglife #code #scripting
🔧 Build
The code comes to life! During the build phase, code is compiled and integrated. Automated pipelines streamline the process, reducing human error and speeding things up.
#Buildcode #DevOps #Maven #Gradle
🧪 Test
No bugs allowed! Automated testing ensures the code is functional, secure, and scalable. This step helps catch issues early, saving time and money down the road.
#Automation #Testing #Test
🚢 Release
It’s go-time! Code is prepared for production, and release pipelines ensure a smooth deployment. Timely approvals and versioning make the process seamless.
#ReleaseReady #CD #DevOpsSucess
🌐 Deploy
Deploying to production doesn’t have to be scary. Containerization tools like Docker and Kubernetes ensure that your applications run smoothly and consistently across environments.
#DeployFast #Kubernetes #Docker
⚙️ Operate
Post-deployment, the operations team monitors the environment to ensure everything runs smoothly. Proper resource allocation and maintenance keep the system up and running efficiently.
#DevOps #Infrastructure #ITManagement
👀 Monitor
Real-time monitoring gives insight into application performance, security, and stability. Alerts and dashboards provide instant feedback if things go awry. .
#Monitoring #RealTimeAnalytics #DevOpsMonitoring
🔄 Feedback & Optimize
It’s all about continuous improvement. Gather feedback from users and analyze system performance to make informed adjustments and optimize the next iteration.
#ContinuousImprovment #Oprimization #FeedbackLoop
Note : Continuous Integration, Continuous Deployment & Continuous Monitoring
The backbone of DevOps! Automation ensures that your code is always tested, deployed, and monitored, delivering value faster without compromising quality.
#CI #CD #DevOpsCulture #DevOps #ProjectPlanning #Agile #DevShivOps #SRE #Development #DevOpsLifecycle #Code #Build. \
