Tech Stories

Tech Stories

By amit bhattEducationCourses
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Tech Stories episodes

  • Episode 72 5 GitOps Best Practices

    In this bite-size episode, I am covering 5 GitOps Best Practices

    • Two Repos: One For App Source Code, Another For Manifests
    • Choose The Right Number Of Deployment Config Repos
    • Test Your Manifests Before You Commit
    • Git Manifests Should Not Change Due To External Changes
    • Plan How You’ll Manage Secrets


    4 min
  • Episode 71- What is CI/ CD Pipeline in DevOps?

    In this episode will talk about most important part of Software Development and operation name as CI/D


    • Stages of a CI/CD pipeline
    • Example of CI/CD Pipeline
    • CI/CD pipeline Best Practices
    • Advantages of CI/CD pipelines
    • Important CI/CD tools
    • Why Does the CI/CD Pipeline Matter for IT Leaders?


    11 min
  • Episode 70 - What is Devops?

    This episode is all about  Software development and the term of the operation "DevOps"

    • What is DevOps?
    • How does DevOps work?
    • The DevOps lifecycle
    • DevOps tools
    • What are the benefits of DevOps?
    • What are the challenges of adopting DevOps?
    • How to adopt DevOps
    • DevOps practices


    9 min
  • Episode 69 -How AIOps and MlOps will assist DevOps?

    In this episode, you will come to know  How AI and ML are playing a big role in the acceleration of DevOps?

    • What Are Machine Learning Operations?
    • Lifecycle of a Machine Learning Model
    1. Data Extraction – ingesting data from various sources
    2. Exploratory Data Analysis – understanding the data format
    3. Data Preparation – cleaning and processing the data for easy processing
    4. Model Training – creating and training a model to process the data
    5. Model Validation and Evaluation – evaluating the model on test data to validate the performances
    6. Model Versioning – releasing a version of the model
    7. Model Deployment – deploying the model in production
    • Core Elements of MLOps
    • What Are Artificial Intelligence Operations?
    • The core capabilities of AIOps
    1. Process optimization – Enhances efficiency throughout the enterprise by comprehensively understanding the connections and effects between systems. After identifying a problem, it facilitates refinement and ongoing monitoring of processes.
    2. Performance analytics – Anticipates performance bottlenecks by examining trends and making necessary improvements as needed.
    3. Predictive intelligence – Utilizes machine learning to categorize incidents, suggest solutions, and proactively alert critical issues.
    4. AI search – Offers precise, personalized answers through semantic search capabilities.
    5. Configuration management database – Enhances decision-making with visibility into the IT environment by connecting products throughout the digital lifecycle, allowing teams to comprehend impact and risk.
    • Core Element of AIOps
    • AIOps Toolset
    • What Is the Difference Between MLOps and AIOps?


    12 min
  • Episode 66-How Does Spotify Join Web 3- NFT Space?

    In this episode, I have covered  How Spotify is joining the Web3 ranks with the revelation that it is testing something called "token-enabled playlists," which allow holders of specific NFTs to access unique curated playlists on the service.


    • Spotify Partners with NFT Projects
    • Spotify Tests NFT-Locked Curated Playlists

    The NFT projects signed up to Spotify include:

    • Overlord, a gaming and entertainment brand
    • Kingship, a metaverse band
    • Fluf, an ecosystem of NFT characters and collectibles
    • Moonbirds, a collection of NFT-bird profile pictures

    How Do Spotify's Web3 NFT Curated Playlists Work?

    6 min
  • Episode 65-How to Make Use of Machine Learning in Finance

    In this episode, I have covered the applications of machine learning in Finance

    • Security
    • Financial Fraud Prevention
    • Financial Monitoring
    • Robo Advisory
    • Investment Predictions
    • Risk Management
    • Money Laundring Prevention
    • Algorithm Trading

    Check my Instagram- www.instagram.com/podcasteramit

    • https://hubhopper.com/podcast/tech-stories/318515
    • https://music.amazon.com/podcasts/2fdb5c45-2016-459e-ba6a-3cbae5a1fa4d
    • https://open.spotify.com/show/2GhCrAjQuVMFYBq8GbLbwa
    • https://podcasts.apple.com/us/podcast/id1544510362
    • https://www.jiosaavn.com/shows/tech-stories/1/,LBNutZ7Fx4_
    • https://gaana.com/podcast/tech-stories-season-1


    9 min
  • Episode 64 Top Machine Learning Services of Amazon

    In this episode, I have covered the Top ML services of Amazon


    • Amazon Kendra
    • Amazon Textract
    • Amazon Comprehend
    • Amazon Augmented AI (Amazon A2I)
    • Sagemaker
    • Amazon Connect
    • Conversational AI (CAI)
    • Amazon Lex
    • Amazon Translate
    • Amazon Transcribe
    • Amazon Polly
    • Amazon Personalize
    • Amazon Content Moderation
    • Amazon ReKognition

    Check my Instagram- www.instagram.com/podcasteramit

    •  https://hubhopper.com/podcast/tech-stories/318515
    •  https://music.amazon.com/podcasts/2fdb5c45-2016-459e-ba6a-3cbae5a1fa4d
    •  https://open.spotify.com/show/2GhCrAjQuVMFYBq8GbLbwa 
    • https://podcasts.apple.com/us/podcast/id1544510362 
    • https://www.jiosaavn.com/shows/tech-stories/1/,LBNutZ7Fx4_
    •  https://gaana.com/podcast/tech-stories-season-1


    9 min

About Tech Stories

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Tech Stories has been started to provide knowledge about the emerging Technologies that we have already adapted to make our lives easier. Through this source, the motive is to bring everyone to a…