Conducted multiple trainings on Docker and Kubernetes. Also online and corporate.
Conducted multiple trainings on Docker and Kubernetes. Also online and corporate.
Overall 10+ years of experience, below are some training experience : Amazon web service (aws) Devops tools Docker and kubernetes Jenkins continuous integration and continous deployment Monitoring tool zabbix, zenoss, elastic stack, grafana Web application penetration.
Overall 10+ years of experience, below are some training experience : Amazon web service (aws) Devops tools Docker and kubernetes Jenkins continuous integration and continous deployment Monitoring tool zabbix, zenoss, elastic stack, grafana Web application penetration.
I am an engineer with 11 years of experience in IT industry. I have majorly worked on developing and designing applications based on Big Data Hadoop, Kubernetes, GCP / AWS, Core Java, Micro services, Python, Shell Scripting. I have teaching experience of 4 years. I am certified in Linux [RHCE, RHCSA, Core Java]
I am an engineer with 11 years of experience in IT industry. I have majorly worked on developing and designing applications based on Big Data Hadoop, Kubernetes, GCP / AWS, Core Java, Micro services, Python, Shell Scripting. I have teaching experience of 4 years. I am certified in Linux [RHCE, RHCSA, Core Java]
I have a experience on kubernetes deployments
I have a experience on kubernetes deployments
Myself Sushil Purbey, DevOps & Platform Engineering Manager with 16+ years of experience, including 10+ years at UKG, leading high-reliability cloud and CI/CD platforms across AWS and GCP. Leading team in a matrix model, owning delivery, reliability (SRE), observability, and operational excellence across enterprise systems. I specialize in modernizing platforms, architecting scalable systems, and leading high-performing engineering teams to deliver impactful business outcomes. I bring hands-on expertise across Python, AIML, Kubernetes, AWS, GCP, CI/CD (Jenkins, GitHub Actions), Infrastructure as Code, containerization, and end-to-end DevOps strategy. Over the years, I’ve built and optimized complex pipelines, managed multi-region Cloud deployments, led application modernization initiatives, and solved critical engineering challenges across development, QA, and production teams. My leadership approach blends technical depth with people-first management—mentoring engineers, leading Agile/Scrum ceremonies, driving continuous improvement, and ensuring alignment between engineering execution and business goals. I’ve successfully managed cross-functional collaborations, improved release reliability, enhanced security posture, and delivered solutions that reduced time-to-market and improved operational efficiency. Certified as AWS Solutions Architect – Associate and CKAD, I am passionate about cloud-native engineering, automation, and building resilient, scalable systems. I enjoy coaching teams, leading complex transformations, and architecting solutions that help organizations grow. I thrive in dynamic, fast-paced environments where innovation, ownership, and collaboration drive meaningful impact. If you need help in clearing DEVOPS and Cloud interviews or understand basics of these tools/technologies, feel free to contact me.
Myself Sushil Purbey, DevOps & Platform Engineering Manager with 16+ years of experience, including 10+ years at UKG, leading high-reliability cloud and CI/CD platforms across AWS and GCP. Leading team in a matrix model, owning delivery, reliability (SRE), observability, and operational excellence across enterprise systems. I specialize in modernizing platforms, architecting scalable systems, and leading high-performing engineering teams to deliver impactful business outcomes. I bring hands-on expertise across Python, AIML, Kubernetes, AWS, GCP, CI/CD (Jenkins, GitHub Actions), Infrastructure as Code, containerization, and end-to-end DevOps strategy. Over the years, I’ve built and optimized complex pipelines, managed multi-region Cloud deployments, led application modernization initiatives, and solved critical engineering challenges across development, QA, and production teams. My leadership approach blends technical depth with people-first management—mentoring engineers, leading Agile/Scrum ceremonies, driving continuous improvement, and ensuring alignment between engineering execution and business goals. I’ve successfully managed cross-functional collaborations, improved release reliability, enhanced security posture, and delivered solutions that reduced time-to-market and improved operational efficiency. Certified as AWS Solutions Architect – Associate and CKAD, I am passionate about cloud-native engineering, automation, and building resilient, scalable systems. I enjoy coaching teams, leading complex transformations, and architecting solutions that help organizations grow. I thrive in dynamic, fast-paced environments where innovation, ownership, and collaboration drive meaningful impact. If you need help in clearing DEVOPS and Cloud interviews or understand basics of these tools/technologies, feel free to contact me.
I have a working experience of Kubernetes , setting up cluster deploying application and running in production. I work as a part time trainer to help others learn these technologies and earn a decent salary.
I have a working experience of Kubernetes , setting up cluster deploying application and running in production. I work as a part time trainer to help others learn these technologies and earn a decent salary.
If you are looking for Devops Training, AWS cloud, docker, micro services, SOA, Configuration management, automation using python and shell scripting, build release training then one stop destination. Real time projects for college student, freshers, job seekers. Also you get free classes if you are unable to afford tuition fee only if you pass assessment exercise else you can get 50% discount on course fee. Student(Girls) free classes. Have worked for IT giants and as well as with start ups too and providing freelance services to couple of start-up as well. Trained many professional and freshers in my previous organisations. Total experience is 8+ years. PS: I do not teach at any institute. I prefer student to come to my place for interactive study. Weekend only. Teaching is my hobby and passion.
If you are looking for Devops Training, AWS cloud, docker, micro services, SOA, Configuration management, automation using python and shell scripting, build release training then one stop destination. Real time projects for college student, freshers, job seekers. Also you get free classes if you are unable to afford tuition fee only if you pass assessment exercise else you can get 50% discount on course fee. Student(Girls) free classes. Have worked for IT giants and as well as with start ups too and providing freelance services to couple of start-up as well. Trained many professional and freshers in my previous organisations. Total experience is 8+ years. PS: I do not teach at any institute. I prefer student to come to my place for interactive study. Weekend only. Teaching is my hobby and passion.
I am IT professional with 12 years of experience in Devops Engineering. Contact me for Devops interview preparation and for learning devops technologies like - Linux, PERL scripting, SHELL scripting, Jenkins, GIT, Bitbucket, Docker, Kubernetes, AWS and cloud computing.
I am IT professional with 12 years of experience in Devops Engineering. Contact me for Devops interview preparation and for learning devops technologies like - Linux, PERL scripting, SHELL scripting, Jenkins, GIT, Bitbucket, Docker, Kubernetes, AWS and cloud computing.
I can teach every topic very easily and make it stronger for the students.
I can teach every topic very easily and make it stronger for the students.
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K8s is a shorthand for Kubernetes, replacing 8 middle letters.
An Endpoint in Kubernetes represents the network locations (IP and port) of Pods exposed by a Service.
A database, Java, and required system resources (CPU, RAM, storage).
They serve different purposes: Docker creates containers, while Kubernetes manages and scales them.
Borg is Google’s internal cluster manager, while Kubernetes is an open-source version inspired by Borg but designed for broader use.