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OpenStack – Build your own cloud

OpenStack - lets users deploy virtual machines and other instances that handle different tasks for managing a cloud environment on the fly. It makes horizontal scaling easy, which means that tasks that benefit from running concurrently can easily serve more or fewer users on the fly by just spinning up more instances. OpenStack is a set of software tools for building and managing cloud computing platforms for public and private clouds. Backed by some of the biggest companies in software development and hosting, as well as thousands of individual community members, many think that OpenStack is the future of cloud computing. How is OpenStack used in a cloud environment? The cloud is all about providing computing for end users in a remote environment, where the actual software runs as a service on reliable and scalable servers rather than on each end-user's computer. Cloud computing can refer to a lot of different things, but typically the industry talks about running different items "as a service" - software, platforms, and infrastructure. OpenStack falls into the latter category and is considered Infrastructure as a Service (IaaS). Providing infrastructure means that OpenStack makes it easy for users to quickly add new instance, upon which other cloud components can run. Typically, the infrastructure then runs a "platform" upon which a developer can create software applications that are delivered to the end users. Read more about our OpenStack - Build your own cloud course here:

Mastering DevOps

DevOps - is a software engineering practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of the DevOps movement is to strongly advocate automation and monitoring at all steps of software construction, from integration, testing, releasing to deployment and infrastructure management. DevOps aims at shorter development cycles, increased deployment frequency, more dependable releases, in close alignment with business objectives. Read more about our Mastering DevOps course here:

AWS Certified Developer

The AWS Certified Developer – Associate exam validates technical expertise in developing and maintaining applications on the AWS platform. Exam concepts you should understand for this exam include:
  • Picking the right AWS services for the application
  • Leveraging AWS SDKs to interact with AWS services from your application
  • Writing code that optimizes performance of AWS services used by your application
  • Code-level application security (IAM roles, credentials, encryption, etc.)
AWS Foundations: Learn to recognize and explain AWS compute and storage fundamentals, and to recognize and explain the family of AWS services relevant to the certified developer exam. Designing and Developing: An introduction to the AWS components that help us develop highly available, cost efficient solutions In this course we will Understand the core AWS services, uses, and basic architecture best practices Identify and recognize cloud architecture considerations, such as fundamental components and effective designs. Working with DynamoDB: An introduction to working with Amazon DynamoDB, a fully-managed NoSQL database service provided by Amazon Web Services. Deployment and Security: Learn to Recognize and implement secure procedures for optimum cloud deployment and maintenance. Monitoring and Debugging: Identify and implement best practices for monitoring and debugging in AWS, and to understand the core AWS services, On completing this learning path you will be able to:
  • Understand the core AWS services, uses, and basic architecture best practices.
  • Design, develop, and deploy cloud based solutions using AWS.
  • Identify and recognize cloud architecture considerations, such as fundamental components and effective designs.
  • Identify the appropriate techniques required to code a proper cloud solution.
  • Recognize and implement secure procedures for optimal cloud deployment and maintenance.
  • Demonstrate ability to implement the right architecture for development, testing, and staging environments.
  • Develop and maintain applications written for Amazon Simple Storage Services (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWS), AWS Elastic Beanstalk, and AWS CloudFormation.
  • Identify and implement best practices for debugging in AWS.
Read more about our Cloud Computing hands on course here:  

Cloud Computing hands on: AWS, Azure, Google cloud

Cloud computing is a new form of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services), which can be rapidly provisioned and released with minimal management effort. Basically, Cloud computing allows the users and enterprises with various capabilities to store and process their data in either privately owned cloud , or on a third-party server in order to make data accessing mechanisms much more easy and reliable. Data centers that may be located far from the user–ranging in distance from across a city to across the world. Cloud computing relies on sharing of resources to achieve coherence and economy of scale, similar to a utility (like the electricity grid) over an electricity network. Companies offering these computing services are called cloud providers and typically charge for cloud computing services based on usage. (and even sometimes free). Popular online service such as: send email, edit documents, watch movies or TV, listen to music, play games or store pictures and other files. Read more about our Cloud Computing hands on course here:

Fog & Cloud Computing

What is Fog Computing  ?
  • Fog computing or fog networking, also known as fogging.
  • Architecture that uses one or more collaborative end-user clients or near-user edge devices.
  • Carry out a substantial amount of storage (rather than stored primarily in cloud data centers), communication (rather than routed over the internet backbone), control, configuration, measurement and management (rather than controlled primarily by network gateways such as those in the Cellular network.
  • Eliminae bandwidth bottlenecks and latency Issues
What is Edge Computing?
  • Edge computingis a method of optimizingcloud computing systems by performing data processing at the edge of the network near the source of the data.
  • Reduces the communications bandwidth needed between sensors and the central datacenter by performing analytics and knowledge generation at or near the source of the data.
  • This approach requires leveraging resources that may not be continuously connected to a network such as laptops, smartphones, tablets and sensors.
  • Edge Computing covers a wide range of technologies including wireless sensor networks, mobile data acquisition, mobile signature analysis, cooperative distributed peer-to-peer and more.
Fog VS. Edge Computing Differences
  • The key difference between the two architectures is exactly where that intelligence and computing power is placed.
  • Fog computing pushes intelligence down to the local area network level of network architecture, processing data in a fog node or IoT gateway.
  • Edge computing pushes the intelligence, processing power and communication capabilities of an edge gateway or appliance directly into devices like programmable automation controllers (PACs).
  Read more about our Linux Fundamentals course here:  

Linux Fundamentals & Troubleshooting course

Tracston's team is proud to  present our new course "Linux Fundamentals & Troubleshooting" Linux is the best-known and most-used open source operating system. Companies and individuals choose Linux for their servers because it is secure and free. Many of the devices you own probably, such as Android phones, digital storage devices, personal video recorders, cameras, wearables, and more, also run Linux. Even your car has Linux running under the hood. Read more about our Linux Fundamentals course here: