DevOps Site Reliability Engineer Vs DevOps
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SRE bridges the gap between developers and IT operations teams to design and maintain an organization's systems' scalability, stability, and predictability. While DevOps model was developed to remove silos between development and operations teams to work together across the entire software application cycle of development, test, deployment to operations.
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Basic Linux Commands Used In AWS
➤ Cat
➤ ls
➤ rm
➤ sudo chmod
➤ mkdir
➤ rmdir
➤ sudo yum update
➤sudo yum -y install
Most-Popular-Backend-Framework.pdf
Most Popular Backend Framework :-
➤ Spring Framework + Spring boot for Java Developers
➤ Django for Python Developers
➤ Express.js for JavaScript Developers
➤ ASP.NET core for .NET developers
➤ Laravel for PHP Programmers
➤ Ruby on Rails for Ruby Programmers
➤ CakePHP Framework for PHP Developers
➤ Flask Framework for Python Developers
What Is BootStrap?
A free and open source front-end development framework called Bootstrap.
It is used to build websites and web applications.
The main goal of this utility was to build a tool that helps in the development of website-related applications fast, easy, convenient and more responsive.
Its availability of many size, color, font, and layout options for the project was the main factor in its inclusion in the Bootstrap framework.
Comparison Between Excel Vs SQL
➤ Microsoft Excel was developed by Microsoft Corporation in 1994 and is used to present numeric and statistical data in a tabular form.
➤ SQL was developed in the 1970s by IBM researchers Raymond Boyce and Donald Chamberlin to extract, organize, manage & manipulate data stored in relational databases.
➤ Excel is a spreadsheet or worksheet file made of rows and columns that help sort, organize, and calculate numerical data.
➤ SQL is a query language used to manipulate databases and get information stored in a relational database management system (RDBMS).
➤ Excel is helpful for producing quick data summaries and visualizations
➤ SQL is needed to work with large volumes of data, manage databases, and use relational databases to their full potential.
➤ Microsoft Excel is used in business analyst roles for quick calculations, data summaries, and data visualizations.
➤ Data analysts use SQL to take care of large databases and find important and relevant data for business use.
➤ In Microsoft Excel, even slightly more than 100,000 will probably cause your computer to slow down.
➤ SQL does not slow down with larger data sets depending on the software and database.
In Excel, your data is saved in a file that is typically set up with tabs, columns, and rows on your computer.
➤ You make SQL queries and send them to the database. The database gets them and either fulfills your requests or changes them.
➤ Excel does not include encryption features for protecting sensitive data such as personally identifiable information, financial data, etc.
➤ The SQL database is designed to be a secure database platform. It has a number of features that can encrypt data, limit access and authorization, and keep data from being stolen, destroyed, or used in other bad ways.
➤ Excel spreadsheets are susceptible to small human mistakes.
➤The most common SQL error is a syntax error.
How to visualize Number using Python Library
Matplotlib is a popular
Python library that is used
to create 2D plots.
It takes data from an array of
numbers and generates a plot
in the form of a graph or
image.
Matplotlib provides many methods to visualize
numbers and their squares using different colors,shapes, and graphs.
Comparison Between Java And Python
👉 Java and Python are two of the most popular programming languages. In this Java vs. Python comparison, we examine how the two languages compare to one another.
👉 Python is an object-oriented language, whereas Java is a procedural language, which is the primary distinction between the two. Both are excellent languages for developing web apps.
👉 Python comes in first on the TIOBE index's list, whereas Java comes in third.
👉 Python is an interpreted and dynamically typed language, while Java is a statically typed and compiled language. Java runs faster and is simpler to debug, but Python is simpler to use and read.
Hybrid Cloud Vs Multiple Cloud
👉 Multi-cloud is a combination of on-premise, public, and private clouds.
It can be a combination of Saas, PaaS & IaaS Services.
👉 Hybrid cloud computing is a service that delivers the best of both private and public cloud features. You get the security of a private cloud. But you also get the elasticity, flexibility, and cost savings of a public cloud.
A hybrid cloud combines both public and private clouds to give customers additional flexibility and greater control over their computing environment.
This solution allows an organization to take advantage of private cloud economies (such as a more streamlined on-premises IT infrastructure) while still providing the elasticity and agility of a public cloud.
Hybrid cloud computing enables enterprises to achieve higher availability, better performance, more functionality, and higher security.
Comparison Between react js & react native
There are some major differences between Reactjs and Native React.
Take a look at following👇
👉 Reactjs is a JavaScript library that allows programmers to design an engaging and high-performing user interface layer, whereas React Native is a complete framework for developing cross-platform apps for the web, iOS, and Android.
👉 React Native is similar to React, but instead of using web components as building blocks, it uses native components. Rather than the browser, it is focused on mobile platforms.
👉 React is the base abstraction of React DOM for the web platform in React JS, whereas in React Native, React is the base abstraction of React Native. As a result, the syntax and workflow stay the same, but the components do not.
Recommended
Basic Linux Commands Used In AWS
➤ Cat
➤ ls
➤ rm
➤ sudo chmod
➤ mkdir
➤ rmdir
➤ sudo yum update
➤sudo yum -y install
Most-Popular-Backend-Framework.pdf
Most Popular Backend Framework :-
➤ Spring Framework + Spring boot for Java Developers
➤ Django for Python Developers
➤ Express.js for JavaScript Developers
➤ ASP.NET core for .NET developers
➤ Laravel for PHP Programmers
➤ Ruby on Rails for Ruby Programmers
➤ CakePHP Framework for PHP Developers
➤ Flask Framework for Python Developers
What Is BootStrap?
A free and open source front-end development framework called Bootstrap.
It is used to build websites and web applications.
The main goal of this utility was to build a tool that helps in the development of website-related applications fast, easy, convenient and more responsive.
Its availability of many size, color, font, and layout options for the project was the main factor in its inclusion in the Bootstrap framework.
Comparison Between Excel Vs SQL
➤ Microsoft Excel was developed by Microsoft Corporation in 1994 and is used to present numeric and statistical data in a tabular form.
➤ SQL was developed in the 1970s by IBM researchers Raymond Boyce and Donald Chamberlin to extract, organize, manage & manipulate data stored in relational databases.
➤ Excel is a spreadsheet or worksheet file made of rows and columns that help sort, organize, and calculate numerical data.
➤ SQL is a query language used to manipulate databases and get information stored in a relational database management system (RDBMS).
➤ Excel is helpful for producing quick data summaries and visualizations
➤ SQL is needed to work with large volumes of data, manage databases, and use relational databases to their full potential.
➤ Microsoft Excel is used in business analyst roles for quick calculations, data summaries, and data visualizations.
➤ Data analysts use SQL to take care of large databases and find important and relevant data for business use.
➤ In Microsoft Excel, even slightly more than 100,000 will probably cause your computer to slow down.
➤ SQL does not slow down with larger data sets depending on the software and database.
In Excel, your data is saved in a file that is typically set up with tabs, columns, and rows on your computer.
➤ You make SQL queries and send them to the database. The database gets them and either fulfills your requests or changes them.
➤ Excel does not include encryption features for protecting sensitive data such as personally identifiable information, financial data, etc.
➤ The SQL database is designed to be a secure database platform. It has a number of features that can encrypt data, limit access and authorization, and keep data from being stolen, destroyed, or used in other bad ways.
➤ Excel spreadsheets are susceptible to small human mistakes.
➤The most common SQL error is a syntax error.
How to visualize Number using Python Library
Matplotlib is a popular
Python library that is used
to create 2D plots.
It takes data from an array of
numbers and generates a plot
in the form of a graph or
image.
Matplotlib provides many methods to visualize
numbers and their squares using different colors,shapes, and graphs.
Comparison Between Java And Python
👉 Java and Python are two of the most popular programming languages. In this Java vs. Python comparison, we examine how the two languages compare to one another.
👉 Python is an object-oriented language, whereas Java is a procedural language, which is the primary distinction between the two. Both are excellent languages for developing web apps.
👉 Python comes in first on the TIOBE index's list, whereas Java comes in third.
👉 Python is an interpreted and dynamically typed language, while Java is a statically typed and compiled language. Java runs faster and is simpler to debug, but Python is simpler to use and read.
Hybrid Cloud Vs Multiple Cloud
👉 Multi-cloud is a combination of on-premise, public, and private clouds.
It can be a combination of Saas, PaaS & IaaS Services.
👉 Hybrid cloud computing is a service that delivers the best of both private and public cloud features. You get the security of a private cloud. But you also get the elasticity, flexibility, and cost savings of a public cloud.
A hybrid cloud combines both public and private clouds to give customers additional flexibility and greater control over their computing environment.
This solution allows an organization to take advantage of private cloud economies (such as a more streamlined on-premises IT infrastructure) while still providing the elasticity and agility of a public cloud.
Hybrid cloud computing enables enterprises to achieve higher availability, better performance, more functionality, and higher security.
Comparison Between react js & react native
There are some major differences between Reactjs and Native React.
Take a look at following👇
👉 Reactjs is a JavaScript library that allows programmers to design an engaging and high-performing user interface layer, whereas React Native is a complete framework for developing cross-platform apps for the web, iOS, and Android.
👉 React Native is similar to React, but instead of using web components as building blocks, it uses native components. Rather than the browser, it is focused on mobile platforms.
👉 React is the base abstraction of React DOM for the web platform in React JS, whereas in React Native, React is the base abstraction of React Native. As a result, the syntax and workflow stay the same, but the components do not.
ETL Testing Vs Database Testing
ETL Testing Vs Database Testing-
ETL and database testing both involve data validation, but they are not the same thing. Database testing is typically performed on transactional systems, whereas ETL testing is performed on data in a data warehouse. The transactional database receives data from various applications.
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ETL Development Learning path Modules -
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2)Advanced Workflow
3)Command reference
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7)Transformation Types
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2)gathering Relevant Data
3)Data preparation
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CI/CD is an important DevOps practice as well as a best practice in Agile methodology.
This strategy enables development teams to deliver and deploy applications continuously, hence speeding up the application development & deployment process.
Elements Of CI/CD Pipelines -
1)Build
2)Test
3)Release
4)Deploy
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Devops learning path
DevOps Learning Path
Step1 - Basics of DevOps with complete introduction.
Step2 - Phases to choose the required tools from DevOps toolkit.
step3 - UNIX shell Scripting.
step4 - DevOps and Cloud Concepts.
step5 - Cloud computing and AWS.
step6 - Linux Administration.
step7 - GIT
step8 - MAVEN
step9 - JENKINS
step10 - TERRAFORM
step 11- PUPPET
step12 - ANSIBLE
step13 - DOCKER
step14 - KUBERNETES with AWS.
step15 - NAGIOS
Learn Data Science With Python
Learn Data Science With Python
Step1 - Mastering Python
step2 - Data Analysis with Python
step3 - Data Visualization with Python
step4 - Machine Learning with Python
step5 - NLP with Deep Learning
step6 - REST API with Flask and Python
Comparison ETL Vs ELT
👉 ETL and ELT are three-phase process types of data processing that are used in data integration and data analytics.
👉 ETL stands for Extract, Transform, and Load.
👉 ELT stands for Extract, Load, and Transform.
👉 Both ETL and ELT use similar steps to process data.
👉 The key difference between these two is the fact that with ETL you have to first load the data into your database before it can be transformed, while with ELT you can just do the transformation without loading any data at all.
Relationship Between DevOps and Cloud
Relationship between DEVOPS AND CLOUD-
-DevOps and cloud can collaborate in this way since everyone is learning new definitions and techniques at the same time.
-Developers and operations are both comfortable with the cloud's new language, since developers frequently teach operations about code and operations can teach developers about infrastructure and security.
-Resulting in a meeting place that fosters good team chemistry.
Role of DevOps in the Cloud when helping organizations-
1)Build
2)Testing
3)Run
Big Data Tools & Libraries
Big Data Tools and Libraries -
1)Apache Hadoop
2)Apache Spark
3)Hive
4)HBase
5)Apache Flume
6)Pig
7)Hadoop Map Reduce
8)Apache Zookeeper
9)YARN
10)Python's
11)Hadoop User Experience (HUE)
What is Big Data Pipe?
"Data pipelines" are a collection of processes that transmit data from one location to another location.
The end-to-end process of gathering data, turning it into insights and models, disseminating insights, and applying the model whenever and wherever the action is required to achieve the business goal is stitched together by a data pipeline.
Architects and developers have had to adjust to "big data" because of the significantly increased volume, diversity, and velocity of data in recent years.
What is Big Data?
Big Data is a collection of large amounts of complicated or unstructured data that is difficult to process using typical data processing software or on-hand database management solutions.
There are five defining properties that can help break down Big Data.
And these five characteristics that define big data are volume, variety, velocity, value and veracity.
Azure Cloud Services
Services covered in Azure cloud computing course
1)Azure Container services
2)Azure Functions
3)Azure Cosmos DB
4)Azure SQL
5)Azure Resource Manager
6)Azure IAM
7)Azure DNS
8)Azure Storage Disk
Tools covered in Azure cloud computing course
1)Synapse Analytics
2)Data Lake Storage Gen 1 & 2
3)Data bricks
4)Stream Analytics
5)Monitor Alerts
6)Azure Log Analytics
7)Auto Scaling
8)Load Balancer
What is Azure Data Engineering?
Azure Data engineering is a process of data collecting, storing, transforming, cleansing, and loading.
Azure Data Engineering is a cloud-based approach to building Azure-based apps and data services. It helps you learn the complex skills required to create and operate distributed systems, allowing you to work with the world's 2nd largest data platform.
What is cloudwatch in AWS?
Amazon CloudWatch is an AWS Service that monitors AWS resources as well as customer applications that run on the Amazon infrastructure.
Features of Amazon CloudWatch :
1)AWS CloudWatch Logging Service -
2)AWS CloudWatch Metrics Services -
CloudWatch provides metrics services, such as gathering and managing resource and operational performance information.
CloudWatch perform for cloud applications and resources-
1)Collect
2)Monitor
3)Act
4)Analyze
AWS Solutions Architect Associate
AWS Certified Solutions Architect-Associate (SAA-C02) is a technical certification offered by Amazon Web Services (AWS).
This certificate is for beginners and practitioners who handle corporate architecture projects and solution architects.
Candidates must be able to illustrate that they can develop, manage, and implement applications using tools and services on the AWS platform.
How AWS Lambda Works
AWS Lambda runs code in response to events and automatically manages the compute resources.
It can be used in various ways, including as a trigger for other AWS services.
Lambda is a pay-as-you-go service, so you only pay for what you use. You are charged based on the number of requests for your functions as well as the time it takes for your code to execute.
Comparison between AWS and Azure
Comparison between AWS and Azure
AWS-
-Support Virtual Private Cloud (VPC)
-Free Tier Per Hour
-EBS storage is used for Storage
-Direct Connection
-61 Availability Zones
-Allows for long-term data storage and retrieval
Azure-
-Support Virtual Network
-Free Tier Per Minute
-Express Route
-Need premium storage
-140 Availability Zones
-No option for long-term data archiving and retrieval
3 V's of Big Data
There are three defining properties that can help break down Big Data.
And these three characteristics that define big data are volume, variety, and velocity.
Data volume-
The volume of data is simply the size of the data and is typically characterized by the amount of information a dataset contains (megabytes, gigabytes, etc.).
Data velocity-
It refers to the rate at which data is generated and transferred.
Data variety-
Big Data variety refers to all structured and unstructured data that may be generated
by people or machines.
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ETL Testing Vs Database Testing
ETL Testing Vs Database Testing-
ETL and database testing both involve data validation, but they are not the same thing. Database testing is typically performed on transactional systems, whereas ETL testing is performed on data in a data warehouse. The transactional database receives data from various applications.
ETL Development Learning path
ETL Development Learning path Modules -
1)Informatica Administrator
2)Advanced Workflow
3)Command reference
4)Informatica PowerCenter Designer
5)Performance Tuning in Information PowerCenter
6)Repository Performance Tuning
7)Transformation Types
8)Transformation language Reference
9)Workflow Basics
10)Data Warehousing
Data Science Top Companies
Data Science Top Companies in India 2022
1)Ugam
2)Mu Sigma
3)MANTHAN
4)ABSLUTDATA
5)Fractal
Life Cycle Of Data Science Project
Life Cycle Of Data Science Project-
1)Understanding the problem
2)gathering Relevant Data
3)Data preparation
4)Data Modeling
5)Feature Engineering and Feature Extraction
Components of CI/CD in DevOps
CI/CD is an important DevOps practice as well as a best practice in Agile methodology.
This strategy enables development teams to deliver and deploy applications continuously, hence speeding up the application development & deployment process.
Elements Of CI/CD Pipelines -
1)Build
2)Test
3)Release
4)Deploy
5)Validation and compliance
Devops learning path
DevOps Learning Path
Step1 - Basics of DevOps with complete introduction.
Step2 - Phases to choose the required tools from DevOps toolkit.
step3 - UNIX shell Scripting.
step4 - DevOps and Cloud Concepts.
step5 - Cloud computing and AWS.
step6 - Linux Administration.
step7 - GIT
step8 - MAVEN
step9 - JENKINS
step10 - TERRAFORM
step 11- PUPPET
step12 - ANSIBLE
step13 - DOCKER
step14 - KUBERNETES with AWS.
step15 - NAGIOS
Learn Data Science With Python
Learn Data Science With Python
Step1 - Mastering Python
step2 - Data Analysis with Python
step3 - Data Visualization with Python
step4 - Machine Learning with Python
step5 - NLP with Deep Learning
step6 - REST API with Flask and Python
Comparison ETL Vs ELT
👉 ETL and ELT are three-phase process types of data processing that are used in data integration and data analytics.
👉 ETL stands for Extract, Transform, and Load.
👉 ELT stands for Extract, Load, and Transform.
👉 Both ETL and ELT use similar steps to process data.
👉 The key difference between these two is the fact that with ETL you have to first load the data into your database before it can be transformed, while with ELT you can just do the transformation without loading any data at all.
Relationship Between DevOps and Cloud
Relationship between DEVOPS AND CLOUD-
-DevOps and cloud can collaborate in this way since everyone is learning new definitions and techniques at the same time.
-Developers and operations are both comfortable with the cloud's new language, since developers frequently teach operations about code and operations can teach developers about infrastructure and security.
-Resulting in a meeting place that fosters good team chemistry.
Role of DevOps in the Cloud when helping organizations-
1)Build
2)Testing
3)Run
Big Data Tools & Libraries
Big Data Tools and Libraries -
1)Apache Hadoop
2)Apache Spark
3)Hive
4)HBase
5)Apache Flume
6)Pig
7)Hadoop Map Reduce
8)Apache Zookeeper
9)YARN
10)Python's
11)Hadoop User Experience (HUE)
What is Big Data Pipe?
"Data pipelines" are a collection of processes that transmit data from one location to another location.
The end-to-end process of gathering data, turning it into insights and models, disseminating insights, and applying the model whenever and wherever the action is required to achieve the business goal is stitched together by a data pipeline.
Architects and developers have had to adjust to "big data" because of the significantly increased volume, diversity, and velocity of data in recent years.
What is Big Data?
Big Data is a collection of large amounts of complicated or unstructured data that is difficult to process using typical data processing software or on-hand database management solutions.
There are five defining properties that can help break down Big Data.
And these five characteristics that define big data are volume, variety, velocity, value and veracity.
Azure Cloud Services
Services covered in Azure cloud computing course
1)Azure Container services
2)Azure Functions
3)Azure Cosmos DB
4)Azure SQL
5)Azure Resource Manager
6)Azure IAM
7)Azure DNS
8)Azure Storage Disk
Tools covered in Azure cloud computing course
1)Synapse Analytics
2)Data Lake Storage Gen 1 & 2
3)Data bricks
4)Stream Analytics
5)Monitor Alerts
6)Azure Log Analytics
7)Auto Scaling
8)Load Balancer
What is Azure Data Engineering?
Azure Data engineering is a process of data collecting, storing, transforming, cleansing, and loading.
Azure Data Engineering is a cloud-based approach to building Azure-based apps and data services. It helps you learn the complex skills required to create and operate distributed systems, allowing you to work with the world's 2nd largest data platform.
What is cloudwatch in AWS?
Amazon CloudWatch is an AWS Service that monitors AWS resources as well as customer applications that run on the Amazon infrastructure.
Features of Amazon CloudWatch :
1)AWS CloudWatch Logging Service -
2)AWS CloudWatch Metrics Services -
CloudWatch provides metrics services, such as gathering and managing resource and operational performance information.
CloudWatch perform for cloud applications and resources-
1)Collect
2)Monitor
3)Act
4)Analyze
AWS Solutions Architect Associate
AWS Certified Solutions Architect-Associate (SAA-C02) is a technical certification offered by Amazon Web Services (AWS).
This certificate is for beginners and practitioners who handle corporate architecture projects and solution architects.
Candidates must be able to illustrate that they can develop, manage, and implement applications using tools and services on the AWS platform.
How AWS Lambda Works
AWS Lambda runs code in response to events and automatically manages the compute resources.
It can be used in various ways, including as a trigger for other AWS services.
Lambda is a pay-as-you-go service, so you only pay for what you use. You are charged based on the number of requests for your functions as well as the time it takes for your code to execute.
Comparison between AWS and Azure
Comparison between AWS and Azure
AWS-
-Support Virtual Private Cloud (VPC)
-Free Tier Per Hour
-EBS storage is used for Storage
-Direct Connection
-61 Availability Zones
-Allows for long-term data storage and retrieval
Azure-
-Support Virtual Network
-Free Tier Per Minute
-Express Route
-Need premium storage
-140 Availability Zones
-No option for long-term data archiving and retrieval
3 V's of Big Data
There are three defining properties that can help break down Big Data.
And these three characteristics that define big data are volume, variety, and velocity.
Data volume-
The volume of data is simply the size of the data and is typically characterized by the amount of information a dataset contains (megabytes, gigabytes, etc.).
Data velocity-
It refers to the rate at which data is generated and transferred.
Data variety-
Big Data variety refers to all structured and unstructured data that may be generated
by people or machines.
More from sunil173422 (19)
DevOps Site Reliability Engineer Vs DevOps
- 1. DevOps SRE Development and Operations Focused on Speedy Delivery Infrastructure as code Site Reliability Engineer Process to Create Better Products Focused on Reliability Used to Capacity Planning Vs To Create reliable and scalable IT applications www.technogeekscs.com
- 2. Principle Principle DevOps model was developed to remove silos between development and operations teams to work together across the entire software application cycle of development, test, deployment to operations. SRE bridges the gap between developers and IT operations teams to design and maintain an organization's systems' scalability, stability, and predictability. SRE vs DevOps www.technogeekscs.com
- 3. Goal Goal The goal of DevOps is to make value delivery more efficient and effective. For that cultural change must happen for a company to be successful with DevOps, so culture is a big focus. SRE's goal is to improve the reliability of large- scale systems through automation and continuous integration and delivery. SRE vs DevOps www.technogeekscs.com
- 4. Focus Focus DevOps teams strive to standardise development environments and automate delivery processes in order to increase delivery predictability, efficiency, security, and maintainability. SRE's focus is to create a bridge between development and IT operations by taking on the tasks typically done by operations. SRE vs DevOps www.technogeekscs.com
- 5. Team structure Team structure DevOps teams include a wide range of roles, such as QA experts, developers, engineers, SREs, and others. The SRE team is comprised of site reliability engineers with experience in both operations and development. SRE vs DevOps www.technogeekscs.com
- 6. Job Opportunities Job Opportunities Within the last five years, the market has grown by 40–45 percent, increasing DevOps demand. Highest salary: ₹45 lakh 10% of professionals earn: more than ₹35 lakh 1% of professionals earn: more than ₹42 lakh In January 2019, according to LinkedIn, being an SRE was the second most promising job in the USA, with $200,000 being the median base salary. SRE vs DevOps www.technogeekscs.com
- 7. Want to Learn More about Continuous Development processes like DevOps? Check out our DevOps with AWS Course @ https://technogeekscs.com/