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12 DevOps principles read today

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DevOps means a concept to bring Development team and operation team together. So that you can speed up the deployment process. Before you start learning the tools you need to understand core principles.
The useful DevOps Principles to know for your project and interviewsTo deliver rapidly without affecting qualityCommunication and Collaboration are the key ideas in DevOps conceptMultiple deploys are possible- if code in Development team automatedOnce you commit the repository, it tests the code automatically against the automated test scriptsIf Build is successfully passed, it installs automatically in Testing environment When infrastructure is automated, it installs automatically to other serversMinor changes takes place in isolation, that means , it creates separate server to deploy minor changesSpeed in Devops, organizations to better serve their customers and compete more effectively in the market.Quality and Security teams are part of DevOpsAutomating the process, much better pro…
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Quick Guide: Machine Learning Examples and Uses

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Machine learning

I want to share with you the best real-time examples on machine learning. Because of new computing technologies, machine learning today is not like machine learning of the past. 

While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development.

Machine learning use cases
  • The heavily hyped, self-driving Google car? The essence of machine learning. 
  • Online recommendation offers like those from Amazon and Netflix? Machine learning applications for everyday life. 
  • Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. 
  • Fraud detection? One of the more obvious, important uses in our world today.
Best example: "pattern recognition" is best example for Machine Learning
Where can you apply machine learning. The following are the key areas you can apply machine learning.
  1. Fraud detection.
  2. Web search results.
  3. Real-time ads on web pages and mobile devices.
  4. Text-based sentiment analysis.
  5. Credit scoring and next-best offers.
  6. Prediction of equipment failures.
  7. New pricing models.
  8. Network intrusion detection.
  9. Pattern and image recognition.
  10. Email spam filtering.
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Hyperledger Fabric Real Interview Questions Read Today

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I am practicing Hyperledger. This is one of the top listed blockchains. This architecture follows R3 Corda specifications. Sharing the interview questions with you that I have prepared for my interview.

Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications.
The Hyperledger now backed by IBM. But, it is still an open source. These interview questions help you to read quickly. The below set of interview questions help you like a tutorial on Hyperledger fabric. Hyperledger Fabric Interview Questions1). What are Nodes?
In Hyperledger the communication entities are called Nodes.

2). What are the three different types of Nodes?
- Client Node
- Peer Node
- Order Node
The Client node initiates transactions. The peer node commits the transaction. The order node guarantees the delivery.

3). What is Channel?
A channel in Hyperledger is the subnet of the main blockchain. You c…
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