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Coding skills in python
Some important DevOps tools include Jenkins, Docker, Ansible, Kubernetes, and Git.
Jenkins
Docker
Ansible
Kubernetes
Git
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
My salary expectations are in line with industry standards based on my 5 years of experience in DevOps roles.
Salary expectations are based on industry standards and my level of experience
I have 5 years of experience in DevOps roles
Previous salary range was $80,000 - $100,000 per year
Debugging a broken Dockerfile involves identifying and fixing errors in the Dockerfile code.
Check for syntax errors in the Dockerfile code
Ensure that all necessary dependencies are properly installed
Use the 'docker build' command with the '--debug' flag to get more detailed error messages
Check the build logs for any specific error messages or warnings
Consider using a Dockerfile linter to identify common issues
Top trending discussions
Terraform, Packer, and Puppet are tools used in DevOps for infrastructure automation and configuration management.
Terraform is used for infrastructure as code and automates the provisioning of infrastructure resources.
Packer is used for creating machine images for multiple platforms from a single source configuration.
Puppet is used for configuration management and automates the deployment and management of software and...
I appeared for an interview in Jan 2024.
They first gave me a project to be implemented in Go language, then was called for tefchnival round
English and Reasoning
Overall ok It was 30 min duration
I appeared for an interview before May 2024, where I was asked the following questions.
Being prompt in pipeline concepts involves timely execution, monitoring, and automation to ensure efficient DevOps practices.
Implement Continuous Integration (CI) to automate code testing and integration, reducing manual intervention.
Use Continuous Deployment (CD) to automatically deploy code changes to production, ensuring faster delivery.
Monitor pipeline performance with tools like Jenkins or GitLab CI to quickly ide...
I practice resolving Kubernetes issues through hands-on labs, simulations, and real-world scenarios to enhance my troubleshooting skills.
Set up a local Kubernetes cluster using tools like Minikube or Kind to simulate production environments.
Participate in Kubernetes troubleshooting exercises or workshops to gain practical experience.
Use monitoring tools like Prometheus and Grafana to visualize and diagnose issues in re...
Application load management ensures optimal performance and availability through various techniques and tools.
Use Load Balancers: Distribute incoming traffic across multiple servers (e.g., AWS Elastic Load Balancing).
Auto-Scaling: Automatically adjust the number of active servers based on traffic (e.g., AWS Auto Scaling).
Caching: Implement caching mechanisms (e.g., Redis, Memcached) to reduce load on the application se...
based on 2 interview experiences
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based on 8 reviews
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Oracle
Amdocs
Automatic Data Processing (ADP)
24/7 Customer