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I'm Mukesh! I've been writing code for last 12 years. I've done bit of everything in my career, from C, C++, Python, Javascript, NodeJS, Django, Flask to devops work in Kubernetes, Terraform, Packer, Jenkins, Ansible, Shell etc. I love debugging and solving problems.
I am a seasoned software engineer with over 15 years of experience, having worked with both small startups and large tech companies. My daily work involves designing and maintaining large-scale systems. I specialize in system design, real-time systems, cloud computing, and both backend and frontend development. I am proficient in multiple programming languages, including C#, Java, JavaScript/TypeScript, and Ruby, and I have experience with frameworks such as React, Redux, Angular, and AngularJS. I hold a degree in software engineering and have a proven track record of leading teams and mentoring colleagues.
Hey, I'm Gareth. I love teaching and most things Python. I have general experience in problem solving, building scalable solutions, and can provide specific or general advice.
Cloud Specialist focusing on AWS and DevOps. Author of Amazon Web Services in Action. Software engineer, teacher and consultant. Blogging about Amazon Web Services at https://cloudonaut.io
I'm Fabio, a **Passionate Engineer** and **Engineering Manager** with nearly 2 decades of expertise. Focused on optimising *Architecture* & *Infrastructure* (Containers & VMs), as well as *Processes* (Pipelines & Deployments).
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I have a diverse career path, starting as a freelancer and then becoming an employee, a startupper, and CTO, and then going into a pendulum between software engineering and management. I have gained experience in various markets and industries, working in different roles.
Working in a variety of roles, from *Software Developer* to *Frontend/Backend Developer*, from *Sysadmin* to *Team Leader*, allowed me to work on each layer of a web application, covering the whole life-cycle from initial requirements gathering to design, planning, coding, testing, documentation, deployment, and maintenance.
With time I've managed to build these core strengths:
- Continuous Learning
- Performance Optimisation
- Problem-Solving Mindset
- Product Management
- Productivity Orientation
- Project Management
- Software Maintainability
- Tech Stack Flexibility
- Work Passion
Going a bit more into detail about what I know and what I use in my daily job:
- Frontend
Tech: CSS3 (Sass/Less), Dublin Core, HTML5, Javascript, Microdata, Microformats, Schema.org
Frameworks: AngularJS, jQuery, jQuery UI, React, RequireJS, Twitter Bootstrap, Underscore, XPath, XSLT
Tools: Grunt, Gulp, Lighthouse, PageSpeed, PhantomJS, Puppeteer, Responsive Web Design, Webpack, YSlow
- Backend
Tech: Go, Node.JS, PHP, Python
Frameworks: Gin, Phalcon, Silex, Symfony, Zend Framework, Laravel, Espresso, Django, Drupal
- Infrastructure
OS: Alpine, CentOS, CoreOS, Debian, Ubuntu
Web: Apache, Lighthttpd, Nginx
DB: MariaDB, MongoDB, MySQL, Redis, SQLite
Cache: Memcache
Proxy: HAProxy, Varnish
Queues: RabbitMQ
Search: ElasticSearch, Solr, Sphinx
Cloud: AWS, Contabo, Digital Ocean, Hetzner, OVH, Transip
Monitoring: Cacti, Nagios, New Relic, Zabbix
Containers: Docker, Kubernetes
Generic: Bash, Capistrano, Cloudflare, Puppet, Vagrant, Ansible, Sonar, Sitespeed.io, Chef
- APIs
AWS, Bing, Braintree, Facebook, Google Analytics, Google Maps, MixPanel, PayPal, Stripe, Taxamo, Twitter, YouTube, GitHub, LinkedIn
- IDEs
Eclipse, Netbeans, PhpStorm, Visual Studio Code
- Content Management Systems
Joomla, Wordpress
- Email and SMTP services
Mailchimp, Mandrill, Sparkpost
- Testing
Unit Testing: Jasmine, Mocha, PHPUnit
Functional Testing: Behat, Karma, Protractor, Rhino, Selenium, WebDrive, Codeception
Continuous Integration: Hudson, Jenkins, Travis CI, Gitlab CI, Circle CI
- Project management, collab & ticketing software
Asana, Github, Gitlab, Jira, GreenHopper, Pivotal, Redmine, Slack, Trello, Taiga, Mantis
- Version Control Software
Git (GitHub, Bitbucket, GitLab), SVN
- Methodologies
Pair Programming, SCRUM, Waterfall Model, Agile, eXtreme Programming
- Techniques
Defensive Programming, DRY, KISS, YAGNI, SOLID, MVC, TDD, ACID, Static Code Analysis, Code Coverage
- Internet Marketing/E-commerce
AdWords, Analytics, SEO
What to expect once you've hired me:
- Passion
- Focus on achieving the best solution
- Full commitment and on-time delivery
- No outsourcing
- Proper communication
- Free consultation provided within 24/48 hours
Bringing value to the company by helping engineering teams in delivering value faster with higher standards.
I like building good software.
What's good software, you ask?
It's software that does what its users need it to do - no more, no less. This means that its specification was created with the user in mind. It means that its code fulfils this specification and the number of bugs in it is minimal. It means that the software can scale effortlessly if it needs to. And if it has a user interface, it's a pretty one.
Good software can be changed and extended easily, without any fear of breaking it in the process. Its code can be quickly understood by anyone new on the team.
How do you make good software?
You let its specification evolve in an agile process and get feedback from your users. You create an architecture which divides the system into units that make sense, such as micro-services. You write Clean Code, and you use both object-oriented and functional programming appropriately. You write tests. You do code reviews.
I can help with these things. I'm experienced in agile techniques like Scrum and Continuous Deployment, I can design scalable architectures, and I'm a Clean Code enthusiast. I like both object-oriented and functional programming.
I started getting into programming when I was about 8, and it's been my profession since before I started university. Since then, I've worked on projects of all sizes. I'm very experienced in JVM languages (Java, Scala, Kotlin), though lately I've been working a lot with C# and Python. I've done a lot of web development (HTML, CSS, JavaScript, TypeScript). I speak fluent English and German. My Spanish is at an intermediate level (approx. C1).
See the power of our Amazon Cloudwatch tutors through glowing user reviews that showcase their successful Amazon Cloudwatch learning journeys. Don't miss out on top-notch Amazon Cloudwatch training.
“Calvin is a patient and talented mentor. He gets right to the points and builds up the concepts to the point where you feel comfortable. He is willing to take an extra mile for researching the concept to get the best solution.
Thnak you Calvin.“
sri / Feb 2018
Calvin Brown
Amazon Cloudwatch tutor
“Olajide was wonderful with my son teaching him about white hat hacking starting with the basics of the different types of vulnerabilities. I appreciate his patience and making sure my son understood concepts throughout the lesson. He's very knowledgeable and we're looking forward to future sessions!“
Courtney Barmack / Oct 2024
Olajide Olanrewaju
Amazon Cloudwatch tutor
“I had the pleasure of working with Vijaya on building out a complex Power Automate and Power Apps solution for my organization, and I cannot recommend him highly enough. From the very beginning, Vijaya demonstrated exceptional level of expertise to the project as well as my learning of the concepts he was executing. He has a very deep understanding of the technical capabilities of Power Apps, Power Automate, Sharepoint and their integration with Power BI. What really set Vijaya apart was his attentiveness and attention to detail combined with his business acumen.
I am grateful for the exceptional service and support and I would highly recommend him to anyone looking to leverage the Power of Power Automate and Power Apps.“
Anthony Yuan / Oct 2024
Vijaya Bhaskar
Amazon Cloudwatch tutor
“Olamide was patient and very helpful, we ran into some security issues that wouldn't allow file sharing so it probably would have been resolved quicker, but I would definitely recommend and use his excel services again.“
Charlie Goodman / Oct 2024
Olamide Soyoye
Amazon Cloudwatch tutor
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We'll help connect you with a Amazon Cloudwatch tutor that suits your needs.
Find the most suitable Amazon Cloudwatch tutor by chatting with Amazon Cloudwatch experts.
Arrange regular session times with Amazon Cloudwatch tutors for one-on-one instruction.
Frequently asked questions
How to learn Amazon Cloudwatch?
Learning Amazon Cloudwatch 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 Amazon Cloudwatch. 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 Amazon Cloudwatch, 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 Amazon Cloudwatch 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 Amazon Cloudwatch through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Amazon Cloudwatch skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Amazon Cloudwatch in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Amazon Cloudwatch 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 Amazon Cloudwatch?
The time it takes to learn Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Amazon Cloudwatch generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Amazon Cloudwatch, contributing to major projects, and possibly specializing in specific areas within Amazon Cloudwatch.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Amazon Cloudwatch. Engaging with new developments, tools, and methodologies in Amazon Cloudwatch 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 Amazon Cloudwatch tutor on Codementor?
The cost of finding a Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch with a dedicated tutor?
Learning Amazon Cloudwatch 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 Amazon Cloudwatch, 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 Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch in a structured, supportive, and effective environment.
How does personalized Amazon Cloudwatch mentoring differ from traditional classroom learning?
Personalized Amazon Cloudwatch 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 Amazon Cloudwatch.