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Amazon Web Services (AWS) – Cloud computing hands-on Labs

Amazon Web Services (AWS) – Cloud computing hands-on Labs
The cloud is a term referring to accessing computer, information technology (IT), and software applications through a network connection, often by accessing data centers using wide area networking (WAN) or Internet connectivity. By moving your IT infrastructure and resources to the cloud you can benefit with cost savings, mobility, security and easy collaboration.
Check out our Cloud Computing Essentials course for Amazon Web Services (AWS).
http://www.tracston.com/AWS_Cloud_Services.php
#Cloud #cloudcomputing #aws #amazon #Tracston

Microsoft Azure – Cloud computing hands-on Labs

Microsoft Azure – Cloud computing hands-on Labs
Microsoft Azure - Cloud computing hands-on Labs The cloud is a term referring to accessing computer, information technology (IT), and software applications through a network connection, often by accessing data centers using wide area networking (WAN) or Internet connectivity. By moving your IT infrastructure and resources to the cloud you can benefit with cost savings, mobility, security and easy collaboration.
Check out our Cloud Computing Essentials course for Microsoft Azure. http://www.tracston.com/Azure_Cloud_Services.php #Cloud #cloudcomputing #azure #Microsoft #Tracston

CLOUD COMPUTING ESSENTIALS (AWS, AZURE, GCP) COURSE

CLOUD COMPUTING ESSENTIALS (AWS, AZURE, GCP) COURSE
The cloud is a term referring to accessing computer, information technology (IT), and software applications through a network connection, often by accessing data centers using wide area networking (WAN) or Internet connectivity. By moving your IT infrastructure and resources to the cloud you can benefit with cost savings, mobility, security and easy collaboration. Cloud computing boasts several attractive benefits for businesses and end users. Main benefits of cloud computing are:
  • Self-service provisioning: End users can spin up compute resources for almost any type of workload on demand. This eliminates the traditional need for IT administrators to provision and manage compute resources.
  • Elasticity: Companies can scale up as computing needs increase and scale down again as demands decrease. This eliminates the need for massive investments in local infrastructure, which may or may not remain active.
  • Pay per use: Compute resources are measured at a granular level, enabling users to pay only for the resources and workloads they use.
  • Workload resilience: Cloud service providers often implement redundant resources to ensure resilient storage and to keep users' important workloads running -- often across multiple global regions.
  • Migration flexibility: Organizations can move certain workloads to or from the cloud -- or to different cloud platforms -- as desired or automatically for better cost savings or to use new services as they emerge.
Cloud computing deployment models (private, public or hybrid)
  • Private cloud services are delivered from a business's data center to internal users. This model offers the versatility and convenience of the cloud, while preserving the management, control and security common to local data centers.
  • Public cloud model, a third-party cloud service provider delivers the cloud service over the internet. Services are sold on demand, typically by the minute or hour, or even long-term commitments. Customers only pay for the CPU cycles, storage or bandwidth they consume.
  • Hybrid cloud is a combination of public cloud services and an on-premises private cloud, with orchestration and automation between the two. Companies can run mission-critical workloads or sensitive applications on the private cloud and use the public cloud to handle workload bursts or spikes in demand.
For more information check the course page: "Cloud Computing Essentials course for Amazon AWS, Microsoft Azure and Google Cloud computing":
http://www.tracston.com/Cloud.Essentials.php Or contact us: http://www.tracston.com/contact.php   #Cloud #cloudcomputing #aws #azure #googlecloud

BLOCKCHAIN AND BITCOIN FUNDAMENTALS

BLOCKCHAIN AND BITCOIN FUNDAMENTALS
Blockchain provides a decentralized database , or “digital ledger”, of transactions that everyone on the network can see. This network is essentially a chain of computers that must all approve an exchange before it can be verified and recorded.
Bitcoin was the first cryptocurrency created utilizing blockchain technology. Cryptocurrency is a completely digital form of money with no physical backing, such as gold, dollar or other currencies. It is not backed by any government or central monetary authority. It is handled solely by those who use it rather than going through a middle man, like a bank or a payment processor. This allows for a quicker, less costly way for businesses, organizations, and individuals to electronically transfer money to and from each other.
In this course you will learn the fundamentals of cryptocurrency technology and how to use it. Check out our course: http://www.tracston.com/Blockchain.php #Bitcoin #Blockchain #cryptocurrency

Linux High Availability & Redundancy Clusters

Linux High Availability & Redundancy Clusters
A computer cluster is a single logical unit consisting of multiple computers that are linked through a LAN or WAN. The networked computers essentially act as a single, much more powerful machine or as active / standby servers. A computer cluster provides much faster processing speed, larger storage capacity, better data integrity, superior reliability and wider availability of resources. Organizations often use computer clusters to maximize processing time, increase database storage and implement faster data storing & retrieving techniques. The major advantages of using computer clusters are clear when an organization requires large scale processing. When used this way, computer clusters offer:
  • Cost efficiency: The cluster technique is cost effective for the amount of power and processing speed being produced. It is more efficient and much cheaper compared to other solutions like setting up mainframe computers.
  • Processing speed: Multiple high-speed computers work together to provided unified processing, and thus faster processing overall.
  • Improved network infrastructure: Different LAN or WAN topologies are implemented to form a computer cluster. These networks create a highly efficient and effective infrastructure that prevents bottlenecks.
  • Flexibility: Unlike mainframe computers, computer clusters can be upgraded to enhance the existing specifications or add extra components to the system.
  • High availability of resources: If any single component fails in a computer cluster, the other machines continue to provide uninterrupted processing. This redundancy is lacking in mainframe systems.
This Course is designed for people who have experience with Linux or UNIX, System administrators, developers, architects, decision makers can all benefit from the content covered in this class, especially if they are looking to work with High availability & Redundancy cluster computing. Read More about this course