Packet Flow in Networks: ARP, NAT & Real Labs

In this course you will learn how to deploy Python based Flask applications to the AWS Cloud using both traditional EC2 Virtual Private Servers (VPS) along with the ever increasingly popular Serverless method using Fully Managed AWS service offerings. In the sections on traditional Server based EC2 deployments I present professional grade, open source, and battle tested technologies such as Nginx web server, uWSGI Python application server, and PostgreSQL database. For server based deployment methods I cover a variety of architectures ranging from the simple all-in-one monolith EC2 architecture to more distributed approaches with RDS (PostgreSQL) Instances, and Auto Scaling Groups of EC2 Application servers sitting behind Elastic Load Balancers. For Serverless deployments I utilize the AWS Serverless Application Model (SAM) using AWS API Gateway, AWS Lambda and AWS DynamoDB managed services to build a microservices like REST API. This course covers the most common, industry leading, methods of architecting and deploying Python based Flask applications utilizing the AWS Cloud in ways that are fault tolerant, cost effective, and scalable. The skills demonstrated in this course should leave the learner able to bring their Python Flask apps to life in the AWS Cloud where limitless potential for innovation can unleashed to provide value and excitement to users at web scale.

Jika ada yang bilang Java itu lamban, dan terlalu banyak memakan memori sehingga tidak cocok untuk lingkungan Cloud. Maka percayalah, itu semua MITOS. Karena mereka yang mengatakan itu bisa jadi ketinggalan jaman atau tidak update dengan teknologi terbaru yang akan saya sampaikan ke dalam course ini.Selamat datang di course saya yang berjudul Membangun Aplikasi "Cloud-Native Java dengan Quarkus dan GraalVM". Course ini akan membawa anda untuk membangun project java, menggunakan paradigma Cloud-Native, menggunakan teknologi Quarkus dan GraalVM.Kursus ini dirancang untuk pengembang Java berpengalaman yang ingin meningkatkan keterampilan mereka dan beradaptasi dengan tuntutan pengembangan modern. Kami akan memandu Anda melalui konsep-konsep kompleks dengan penjelasan yang jelas dan contoh praktis, memastikan Anda dapat segera menerapkan pengetahuan baru Anda dalam proyek rill.Selain mempelajari Framework Quarkus, anda akan mempelajari teknologi lain yang ada di sekitaran Quarkus, seperti bagaimana mengonfigurasi ORM menggunakan Hibernate dan JPA, Membuat REST API, melalui spesifikasi JAX RS dan implementasinya RestEasy. Selain itu kami juga mengajarkan best practice dan design pattern sehingga setelah menyelesaikan kursus ini, Anda akan memiliki pemahaman mendalam tentang pengembangan aplikasi dengan paradigma Cloud-Native JavaJangan lewatkan kesempatan untuk menjadi ahli dalam teknologi yang sedang booming ini. Daftar sekarang dan ambil langkah besar menuju masa depan sebagai programmer Java!Apa yang Anda tunggu? Mulai perjalanan Anda menuju keahlian Cloud-Native Java hari ini!

Boost your Python, data science, and machine learning skills with our comprehensive practice test. Perfect for beginners and professionals alike, this course helps you assess your proficiency in key areas.Key Topics:1. Python Programming - Basics: Understand data types, variables, and syntax. - Control Flow: Master conditional statements and loops for effective code control. - Functions and Modules: Learn to write reusable functions and import modules to streamline your code.2. Data Science with Python - Pandas: Explore techniques for cleaning, transforming, and analyzing data using Pandas. - Matplotlib: Data visualization. - Data Cleaning: Preparation techniques.3. Machine Learning with Python - Introduction: Machine learning basics. - Scikit-Learn: Supervised learning. - NumPy: Unsupervised learning.WHY ENROLL?- Comprehensive Coverage: Includes all essential topics in Python, data science, and machine learning.- Practical Application: Questions are based on real-world scenarios to enhance your problem-solving skills.- Effective Preparation: Ideal for those preparing for job interviews, certification exams, or academic assessments.WHO SHOULD ENROLL?- Aspiring data scientists and analysts: Build a solid foundation and test your skills.- Python programmers: Validate and expand your Python knowledge.- Job seekers in data science and machine learning: Prepare for data science and machine learning roles with confidence.Start testing your knowledge today and see where you stand!

This course is special for me for a few reasons. Having already published a few courses on PIC microcontrollers, PCB Design and PIC32 MCU with more than 5500 students registered for my courses, I was getting a feeling that my courses are incomplete. I wanted to prepare a course that covers both hardware design and firmware development. This course is the outcome of all the inputs and experiences I gained from my previous courses and my professional experience. This course covers the following items as you can see from the course curriculum:PCB Design and prototype developmentPIC programming from basics to advanced conceptsThe first section is an introduction to PIC MCUs and the tools you need to install for the course. You will get a list of components required for the hardware development.In the second section, you will get all the knowledge required to design your own hardware based on PIC MCU. You will be able to design a PCB on KiCAD and then produce a DIY PCB using a simple etching process. You will know how to solder the components on the PCB and then test the hardware by using the test code provided by me.In the third section, you will understand how to write a simple LED blink code using MPLABX IDE and XC8 C compiler. You will know how to interface switches using external interrupts and LCD display with the PIC MCU. You will know how to use the peripheral pin select feature to map PIC peripheral feature with the possible set of pins.After getting a hold of PIC basics, you will understand timers, PWM modules, watchdog timer, Analog to Digital Converter and UART modules to meet advanced project requirements in the fourth section

Dive in deep with us on Rockwell Automation solutions. This course will give you a deep understanding of the core values needed to be able to program, troubleshooting on FactoryTalk View Se and ME.Some questions that in this course we'll answer:How can I set up my PLC in an Ethernet network to communicate with HMI or SCADA Systems using FTView?- Ethernet/IP COMM- What's firmware revision?- What's the difference between FTView Se and ME?- How to update Firmware on FTView HMI- Template with Pump Station PLC Logic created on Studio 5000 Version 32 and FTView version 10, 11.- Creating Tag database, communication between FTView and MS SQL.- To assist with this effort as will which is Online PLC SupportAs part of making this course the best, I will be adding revisions or videos from time to time to add more sections but as it sits right now there are several hours of video training about FactoryTalk View SE and ME.I have a very successful YouTube channel about PLC programming and run a website.The instructor was an employee on Rockwell Automation and still designing several projects around the USA.Learn with who worked at Rockwell Automation and can advise on everything that you need related to RSLogix or Studio 5000.

Unlock the full potential of Dynatrace with our comprehensive step-by-step guide. This course is designed to equip you with the essential skills needed to master application performance monitoring and troubleshooting using Dynatrace.What you’ll learn:Application Performance Monitoring: Understand the fundamentals of monitoring application performance.Dynatrace Detail Monitoring: Learn how to install and configure Dynatrace One Agent on Windows and Linux targets.Integration with Communication Channels: Discover how to integrate Dynatrace with MS Teams, Outlook, and other communication platforms.Problem Alerts and Alerting Profiles: Set up and manage Dynatrace problem alerts and create effective alerting profiles.Monitoring Methodologies: Explore various monitoring methodologies within Dynatrace, including agentless and synthetic monitoring.Cloud Integration: Integrate Dynatrace with Azure and AWS cloud environments.API Explorer and Access Tokens: Utilize Dynatrace API explorer and manage access tokens.Dynatrace Hub: Get hands-on experience with Dynatrace Hub through practical examples.Latest Dynatrace Features: Stay up-to-date with the latest Dynatrace UI, DQL, Notebooks, and more.By the end of this course, you'll be proficient in using Dynatrace to monitor, troubleshoot, and optimize application performance across different environments.The course is designed and developed based on my experience with Dynatrace Platform. I hope this will help you understand and make your monitoring journey in a better way . Best of luck and thanks !