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Benjamin Kappel
Kubernetes tutor
US$20.00 /15 min
I'm a NET Core developer to the bones. My co-workers always describe me as a having integrity, reliable person and I am able to create a trustful environment where candid feedback can flow freely. I took the biggest step from the last job, where I was hired to review and audit the code and the technical solution of the product under development. My contribution to this project was pushing the product from an intentional state into something that created pleasure and happiness for nearly every stakeholder. In addition, In my free time, I'm engaged in an open-source community. My contribution ranges from explaining, PR reviews, fixing bugs, and creating new features with the result of creating one of the most loved solutions in that space (or niche).
Eythan Decker
Kubernetes tutor
US$15.00 /15 minI am a software engineer with a passion for both technical innovation and leadership, bringing years of hands-on experience across full-stack development and DevOps practices. My expertise lies in building scalable, reliable solutions, with a strong foundation in cloud-native technologies and infrastructure automation. With management experience, I’ve led teams of engineers in designing and deploying high-performing platforms, ensuring both smooth operations and rapid feature delivery. I have extensive GitOps experience, leveraging tools like Kubernetes, Flux, and Rancher Fleet to build automated, self-healing infrastructure, alongside proficiency in Golang for custom tooling and integrations. Previously, I have worked on implementing several application solutions that involved using Java, Dotnet Core, Angular, and Ruby on Rails. I’m driven by the challenge of solving complex problems and enjoy working in environments that emphasize collaboration, continuous learning, and technological growth.
Adetokunbo Ige
Kubernetes tutor
US$13.00 /15 minHi, I'm Adetokunbo Temitayo Ige | a DevOps Engineer with experience in Platform Engineering, SRE, Database Administration, and Technical Writing. I want to share my knowledge with the community. Also educate and share my experience with people. Blog: https://igeadetokunbo.medium.com/
- Kubernetes
- Technical Writing
- RESTful API
- PHP
- Azure
- CI/CD
- DevOps
- Linux System Administration
- Google Cloud Platform
- Back-End
- Ubuntu
- SQL
- Ruby
- Ruby on Rails
- PostgreSQL
- Oracle
- Microservices
- MongoDB
- Laravel
- Kotlin
- Integration Testing
- Heroku
- GitLab
- Flask
- Elasticsearch
- Django
- Database
- Bash
- API
- GitHub Actions
- GitHub
- Selenium
- Nagios
- Chef Server
- Puppet
- MySQL
- Helm Charts
- Go
- Python
- Linux
- Ansible
- Jenkins
- Continuous Integration
- Terraform
- AWS
- Docker
- GitLab CI/CD
- Spinnaker
- Circleci
Tanisha Bhayani
Kubernetes tutor
US$50.00 /15 min6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
- Kubernetes
- Python 3
- AI
- Machine learning
- Machine Learning Deployment
- Web Development
- Keras
- TensorFlow
- SQL
- Python
- Deep Learning
- NumPy
- Flask
- TensorFlow.js
- Angular
- React
- Mobile App Development
- Web Scraping
- Scrapy
- TypeScript
- Responsive Web Development
- MongoDB
- PostgreSQL
- MySQL
- Computer Vision Engineering
- PyTorch
- Deep Learning Pipeline
- Deep Reinforcement Learning
- Scipy
- Matplotlib
- Pandas
- Python 2
- Cloud Functions
- AWS SageMaker
- Azure
- Google Cloud Platform
- GPU
- AWS
- Docker
- Machine Learning System Design
- Machine Learning Frameworks
- Machine Learning Research
- Machine Learning Models
- Open Source Software
- AI/ML
- AI Chatbot
- OpenAI APIs
- OpenCV
- OpenAI
- GPT-4
- GPT-3
- GPT
- Research
- LLM
- Large Language Models
- Data Visualization
- Data Engineering
- Data Science
- Artificial Neural Networks
Sourav Paul
Kubernetes tutor
US$20.00 /15 minSourav is a Senior Software Developer at IBM Research Lab. He is working as a Full-Stack Developer in building highly scalable, resilient distributed systems. Sourav will help you with to prepare coding interviews, System Design for FAANG and other top product companies Have been passionately solving Leetcode, HackerRank, Codechef, Codeforces, Codesignal problems, and enthusiastically solving problems with the analysis of space... ♛ Career Domain - ▪️ Data structures & algorithms. ▪️ Large-scale distributed systems(HLD/LLD). ▪️ E2E Backend system architecture(API Gateways/LB/Cache/DB/Messaging Queues/Microservices). ▪️ REST APIs/Data Streams/Batch Jobs/Event-driven systems. ▪️ Java/Rx/SpringBoot/Hibernate/MySQL/Cassandra/Docker/Kubernetes/CICD/Git/Cloud. ▪️ Software engineering mentorship to the freshers/experienced professionals. ♛ Key Responsibilities - ▪️ Building scalable quality software solutions by designing, writing code, and unit tests through consistent development practices with a focus on continuous integration/continuous deployment, continuous monitoring, and automated testing(TTD/BDD). ▪️ Debugging software components, identifying code defects, and remediating the buggy flow. ▪️ Participating in code reviews and collaborating on best practices with colleagues. ▪️ Enabling the deployment, support, and monitoring of software across test, integration, and production environments. ▪️ Identifying opportunities for adopting new technologies. ▪️ Demonstrating increased self-reliance to achieve team goals. Influencing team members with creative changes and improvements by challenging the status quo and demonstrating risk-taking. ▪️ Effectively interpreting technical & business objectives, functional/non-functional requirements, involved challenges, and articulating solutions. ▪️ Collaborating with a team of Engineers, Scrum Master, and Product Owner to effectively achieve objectives by clearly communicating ideas and concepts. ▪️ Mentoring and guiding junior team members to success within the team. ▪️ Interviewing college grads/senior engineers as part of global hiring events across the org. ```Feel free to reach out for anything related to,``` ▪️ Software Design/Development/Prototyping/Pair coding. ▪️ Web Technologies/API design/Code reviews. ▪️ Career development/Consulting/Training/Mentorship/Interviews in technology/DSA/System Design. ▪️ Business Idea and its transformation into technology.
- Kubernetes
- Java
- Spring Boot
- Microservices
- Interview Preparation
- Algorithm
- System design
- Database
- Data structure
- C++
- SQL
- Hibernate ORM
- Java 8
- LeetCode
- JasperReports
- AWS
- Git
- OOP
- Apache Kafka
- Apache Maven
- Reactive Programming
- Java EE
- JUnit
- Couchbase
- Faang
- IBM
- Spring Security
- Mentoring
- Swagger
- Design Pattern
- DevOps
- RESTful API
- Spring Cloud
- Testing
- Test Automation
- Interview Skills
- Technical interview
- Mock Interview
- FAANG Interview
- Object-Oriented Programming
- Eclipse
- Java J2EE
- Spring
- Servlet
- JSP
- Intellij
- Array
- Lambda
- Collections
- Problem solving
- C
- Cloud
- Gradle
- Maven 3
- Jenkins
- Docker
- Redis
- CQRS
- Event-Driven Architecture
- API Gateway
- Load Balancing
- JPA Hibernate
- Microsoft SQL Server
- High Availability Systems
- Git flow
- Back-End
- Recursion
- Linked list
- Time complexity
- String
- Queue
- Graphs
- Dynamic Programming
- High level design
- IBM Cognos TM1
- IBM BPM
- IBM Integration Bus
- IBM Watson
- IBM DB2
- GitHub
- GitLab
- Unit Testing
- PostgreSQL
- MySQL
- JDBC
- JPA
- Distributed Systems Engineering
- Relational Database
- Amazon EC2
- Amazon S3
- AWS Lambda
- AWS DynamoDB
Kirill Erokhin
Kubernetes tutor
US$25.00 /15 minI teach Operating Systems to CS students and guide fellow professionals through legacy codebase maintenance, practical software architecture, and new language/framework learning skills. For students, I offer two types of sessions - one is a lecture-style session where I can go over course notes/slides on a particular topics and offer additional explanations and examples to improve your understanding of the material. Another type is an assignment take-up session where I can go over a past assignment and guide you through steps to solving it. For working professionals, I offer the following options: * Focused problem-solving sessions - if you have a particular issue that you're stuck with in a project you're working on, I can pair with you over Zoom screen-sharing * Code review - if you cannot understand how to work with part of your codebase or if you'd like a second opinion on work that you've just completed, I can pair with you over Zoom and do a live code review and/or prepare ahead of time and go over my findings on a call * Long-term mentorship - if you would like to learn some more fundamental skills or pick up a framework/design pattern/best practices, I can develop a custom-tailored learning plan that fits your skill level and schedule and offer regular teaching sessions with optional take-home exercises A bit about me --- I am a tech founder and a senior polyglot/full-stack developer, with a passion for teaching and mentorship. In a bit of spare time from my work, I am looking to help fellow software developers get more comfortable with our craft and exercise my teaching skills while I'm at it. So far, I've done a wide range of work - web app front-end and back-end, data pipelines at scale, DevOps/infrastructure, mobile (quite a bit of iOS and previously some Android) and some security. I have a reasonable taste for UI design and user experience, despite that not being my primary specialization. The industries I've worked in so far were heavily concentrated around finance/banking/FinTech and GovTech, although I've also been a founding developer at a couple of B2C startups and learned a lot throughout that experience. My personal research interests include operating systems and programming language theory. As cliche as it sounds, I try to learn something new all the time and I consider this of vital importance to my professional skillset. I always prioritize systems understanding and learning how to learn over memorizing APIs - and it's a philosophy that I try to share with my students as well. Teamwork and constant exchange of expertise with my peers is a close second most important value to me. A software product can be almost meaningless without a team that welcomes learning from failures, encourages curiosity and fosters true human friendships, and empathy both towards each other and towards the customers of the software we create. New client intake process --- 1. Intro/triage call [free of charge] [15 min] - this is a Zoom video call where I try to understand your background, the problem you're looking to solve and whether I believe we'd be a good fit for a productive mentor/mentee relationship. 2. Supplemental terms acceptance - as an independent contractor and not an employee of Arc, I ask my clients to accept a few additional terms that make session time measurement, scheduling and work product acceptance more precise, and further clarify the extent of our mentorship relationship. 3. Creation of Freelance Job/Scheduled Session on Codementor - if you haven't done that yet, I will ask you to create and assign me a freelance job and/or a scheduled session with a precise description of the topics we would be covering. For certain sessions, preliminary preparation may be required - if that is the case, we would discuss the details and estimated time ahead of time and a Freelance Job would be required to cover the effort of the preparation. Availability --- Please take a look at my Codementor calendar to plan intro calls and sessions. Generally, I am available between 3:30pm and 8pm Eastern Time (New York/Toronto), Monday to Saturday, but I try to schedule all of my teaching engagements between 6pm and 8pm whenever possible. *IMPORTANT: Urgent sessions are unfortunately not available at this time.* I am currently working through Codementor as a mentor, and unable to work as an on-call freelance developer. Please also note that I cannot provide consultations over chat - in my experience, it's generally more time-consuming for everyone, and copy-pasting code over chat can get messy. For those reasons, I only work through Zoom video calls with screen sharing. If you have any questions about the process or would like to book a call, I am happy to chat on Codementor - I should be usually available Monday-Saturday, 1pm - 8pm Eastern Time, subject to my other engagements. While I try to respond as soon as I can, I may take up to one business day or longer depending on how busy my schedule might get.
- Kubernetes
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- Java
- React
- Functional Programming
- Systems Programming
- Scheme
- Technical Writing
- AWS
- Security software
- JavaScript
- Twilio
- Web Application Security
- Nginx
- Docker
- Git
- Amazon S3
- Amazon EC2
- Full Stack
- Operating Systems
- Distributed Systems Engineering
- Progress Chef
- C++
- C
- Raspberry Pi
- Linux Kernel
- Shell
- Clojure
- Racket
- Terraform
- HAProxy
- Google Cloud Platform
- Packer
- Ansible
Find your personal Kubernetes tutor on Codementor today 
Users love our Kubernetes tutors
See the power of our Kubernetes tutors through glowing user reviews that showcase their successful Kubernetes learning journeys. Don't miss out on top-notch Kubernetes training.
“Super friendly and helpful in the first session. We've made plans for further sessions and I'm confident we'll figure out my problems :)“
Sean McCarthy / Oct 2024
John Oladele
Kubernetes tutor
“He has excellent analytical skills and a strong understanding of Kubernetes and cloud platforms. He is passionate about resolving issues and remains calm, composed, and patient throughout the process. Additionally, he explains problems and solutions in a very clear and simplified manner, making it easy for me to understand.“
jiten / Sep 2024
Daniel Akinpelu
Kubernetes tutor
“Andrew answered my call and after the first 30 minutes, I immediately got a great feeling from him. I am excited to call him my mentor and look forward to more awesomeness from him in the future.“
Bekim Disha / Aug 2024
Andrew Kew
Kubernetes tutor
“Harshit was thorough in helping me troubleshoot. Even though my technical issues were hard to identify, Harshit utilized very great deduction logic to ultimately identify the issue.“
Jon Kim / Feb 2024
Harshit Varshney
Kubernetes tutor
How to find Kubernetes tutors on Codementor
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We'll help connect you with a Kubernetes tutor that suits your needs.
Find the most suitable Kubernetes tutor by chatting with Kubernetes experts.
Arrange regular session times with Kubernetes tutors for one-on-one instruction.
Frequently asked questions
How to learn Kubernetes?
Learning Kubernetes effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
- Understand the basics: Start with the fundamentals of Kubernetes. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Kubernetes, laying a solid foundation for further growth.
- Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
- Seek expert guidance: Connect with experienced Kubernetes tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
- Join online communities: Engage with other learners and professionals in Kubernetes through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your Kubernetes skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Kubernetes in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since Kubernetes is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Kubernetes?
The time it takes to learn Kubernetes depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
- Beginner level: If you are starting from scratch, getting comfortable with the basics of Kubernetes typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
- Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Kubernetes’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in Kubernetes generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Kubernetes, contributing to major projects, and possibly specializing in specific areas within Kubernetes.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Kubernetes. Engaging with new developments, tools, and methodologies in Kubernetes is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Kubernetes tutor on Codementor?
The cost of finding a Kubernetes tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
- Tutor experience: Tutors with extensive experience or high demand skills in Kubernetes typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
- Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
- Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Kubernetes tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Kubernetes with a dedicated tutor?
Learning Kubernetes with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
- Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Kubernetes, but exceling in a way that directly aligns with your objectives.
- Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
- Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Kubernetes can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
- Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
- Career guidance: Tutors can also offer guidance on how to apply Kubernetes in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Kubernetes in a structured, supportive, and effective environment.
How does personalized Kubernetes mentoring differ from traditional classroom learning?
Personalized Kubernetes mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
- Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
- One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
- Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
- Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
- Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Kubernetes.
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