Presentation for Introduction to Google Cloud Platform. This PPT provides basic understanding for services provided by Google Cloud Platform like Compute, Storage, VPC, IAM.
Introduction to GCP (Google Cloud Platform)Pulkit Gupta
This document outlines a presentation on Google Cloud Platform (GCP) services. The agenda includes an introduction to GCP and its main service, Google Compute Engine (GCE). GCE allows users to create and manage virtual machines on GCP. The presentation defines GCP and its main components like Compute, Storage, Big Data and Machine Learning services. It highlights benefits of GCP such as scalability, mixing services, and competitive pricing. The document demonstrates how to create a virtual machine on GCE and discusses other GCP storage and compute features before concluding with a question and answer session.
Cloud computing is the delivery of computing resources like servers, storage, databases, and software over the Internet. There are different types of cloud including public, private, and hybrid clouds. Google Cloud Platform (GCP) provides various computing, storage, networking, security, and other services to users. GCP offers products and services for compute, storage, networking, security, big data, machine learning, and management tools to build solutions in the cloud. Some advantages of GCP include flexible billing, fast scaling, global datacenter network, and petabyte data processing capabilities.
Introduction to Google Cloud Services / PlatformsNilanchal
The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.
Google Cloud Platform (GCP) is a comprehensive cloud computing platform offered by Google, providing a wide range of services for building, deploying, and managing applications and infrastructure in the cloud. With offerings such as Compute Engine, Cloud Storage, Cloud SQL, and App Engine, GCP enables scalable computing, storage, and database solutions, making it suitable for various workloads and industries. Additionally, GCP offers advanced capabilities in machine learning, data analytics, and AI, empowering businesses to leverage innovative technologies in their cloud deployments.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It offers advantages like cost effectiveness, dynamic scaling, on-demand self-service and measured service. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). The document then discusses Google Cloud Platform's IaaS offering called Google Compute Engine and its PaaS offering called Google App Engine.
Cloud computing provides dynamically scalable resources as a service over the Internet. It addresses problems with traditional infrastructure like hard-to-scale systems that are costly and complex to manage. Cloud platforms like Google Cloud Platform provide computing services like Compute Engine VMs and App Engine PaaS, as well as storage, networking, databases and other services to build scalable applications without managing physical hardware. These services automatically scale as needed, reducing infrastructure costs and management complexity.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
This document provides an overview of Google Cloud Platform (GCP) services. It begins by explaining why GCP is underpinned by Google's infrastructure and innovation. It then outlines GCP's compute, networking, storage, big data, and machine learning services. These include Compute Engine, Container Engine, App Engine, load balancing, Cloud DNS, Cloud Storage, Cloud Datastore, Cloud Bigtable, Cloud SQL, BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Datalab. Machine learning services such as Translate API, Prediction API, Cloud Vision API, and Cloud Speech API are also introduced.
Introduction to Google Cloud Platform (GCP) | Google Cloud Tutorial for Begin...Edureka!
(Google Cloud Certification Training - Cloud Architect: edureka.co/google-cloud-architect-certification-training)
This Edureka tutorial will provide you with a detailed introduction to Google Cloud Platform and it's various Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the different Zones and Regions where the servers are hosted, with a great demo.
This document discusses Google Cloud Platform and how Google powers its own services. It notes that Google is the fourth largest server manufacturer and would be the second largest internet service provider by traffic. It describes how Google builds customized hardware from cheap commodity parts and manages vast numbers of homogeneous servers at scale with software resilience and horizontal layers rather than hardware resilience and vertical stacks. The document also provides an overview of how Google's global data centers, communications network, data storage and distribution, services and APIs, and compute platforms can be utilized to build and scale applications. It includes several customer stories about how companies have used Google Cloud Platform for applications experiencing peak traffic, global data storage, crowd-sourcing weather data, and syncing notes across devices.
This document provides an overview of Google Cloud Platform (GCP) services. It discusses computing services like App Engine and Compute Engine for hosting applications. It covers storage options like Cloud Storage, Cloud Datastore and Cloud SQL. It also mentions big data services like BigQuery and machine learning services like Prediction API. The document provides brief descriptions of each service and highlights their key features. It includes code samples for using Prediction API to train a model and make predictions on new data.
Identity and access management (IAM) is the security discipline that enables the right individuals to access the right resources at the right times for the right reasons. IAM enables you to securely control access to your application or product services and resources for your users.
Azure Tutorial For Beginners | Microsoft Azure Tutorial For Beginners | Azure...Simplilearn
This presentation about Azure for beginners will help you understand what is cloud computing, what is Microsoft Azure, what are the services Azure offers, why is Azure better, which companies use Azure and you will also see a use case where we utilize some of the Azure cloud services. Cloud computing refers to the method of using the internet to store data, manage data and process data and Microsoft Azure is on such cloud service provider. It works on the basis of cloud computing. Microsoft Azure is a set of cloud services to build, manage and deploy applications on a network with the help of tools and frameworks. With the vast majority of organizations the world over adopting the cloud, demand for skilled professionals in this field is high. High salaries and a vast range of options for cloud computing experts have made it a sought-after industry for IT professionals. Now, let us get started and understand what is Microsoft Azure and the services that it has got to offer us.
Below topics are explained in this Azure presentation for beginners:
1. What is cloud computing?
2. What is Microsoft Azure?
3. What are the services Azure offers?
4. Why is Azure better?
5. Which companies use Azure?
6. Microsoft Azure Demo
About Simplilearn Machine Learning course:
Simplilearn's Developing Microsoft® Azure Solutions (70-532) certification training program is designed to give you mastery in Microsoft Azure enterprise-grade cloud platform. Through demos & practical applications, you’ll learn to design, develop, implement, automate, and monitor resilient and scalable cloud solutions on the Azure platform. The course will enable you to explore Microsoft Azure development environment and Azure platform features and learn development tools, techniques and approaches used to build and deploy cloud apps.
What skills will you learn from this Azure certification training course?
By the end of this Azure certification course, you will be able to:
1. Design and implement Web Apps
2. Create and manage virtual machines
3. Design and implement cloud services
4. Design and implement a storage strategy
5. Manage application and network services
Who should take up this Microsoft Azure certification training course?
This course is an essential requirement for those developers who need a strong understanding of concepts and practices related to cloud app development & deployment. Applicable careers include:
1 .NET Developers
2. Solution Architects/ Team Leads
3. DevOps Engineers / Application Engineers / QA Engineers
Learn more at https://www.simplilearn.com/cloud-computing/microsoft-azure-fundamentals-training
Google Cloud Platform Tutorial | GCP Fundamentals | EdurekaEdureka!
( Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-a... ) This Tutorial on Google Cloud Platform will provide you a detailed introduction to GCP and it's Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the various Zones and Regions where the servers are hosted.
Google Cloud Platform Training | Introduction To GCP | Google Cloud Platform ...Edureka!
***** Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-architect-certification-training *****
This Edureka tutorial will provide you with a detailed and comprehensive training on Google Cloud Platform and will also provide you with the training details of the Google Cloud Architect Certification Training.
Google Cloud Playlist: https://goo.gl/zEBTkL
Microsoft Azure is a cloud computing platform that allows users to build, deploy, and manage applications and services through Microsoft-managed data centers. It provides a global network that offers faster development times and scalability compared to traditional hosting, while reducing costs. Azure ensures data protection and security with backups, recovery options, and 99.99% uptime. Developers can build apps using any language or tool and deploy them anywhere while extending their existing IT infrastructure into the cloud.
AWS provides a comprehensive set of global cloud computing services including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. Some key services highlighted include EC2 for virtual servers, S3 for object storage, RDS for managed relational databases, DynamoDB for NoSQL database services, EBS for block storage volumes, VPC for virtual networking, IAM for access management, CloudFront for content delivery and Route 53 for DNS services. AWS operates across multiple geographic regions and availability zones for reliability and high availability.
Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.
Productive
Reduce time to market, by delivering features faster with over 100 end-to-end services.
Hybrid
Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack.
Intelligent
Create intelligent apps using powerful data and artificial intelligence services.
Trusted
Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.
What Is Cloud Computing? | Cloud Computing For Beginners | Cloud Computing Tr...Simplilearn
This Cloud Computing presentation will help you understand what is Cloud Computing, benefits of Cloud Computing, types of Cloud Computing and who uses Cloud Computing. In simple words, Cloud Computing is the use of a network of remote servers hosted on the internet to store, manage and process data rather than a local server. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. Organizations have moved to cloud platforms for better scalability, mobility, and security. Cloud solutions architects are among the highest paid professionals in the IT industry. With the cloud market set to grow more than ever before the need for IT staff with the appropriate technical and business skills has never been greater. This video will introduce you to Cloud Computing by explaining what it is and how do you get benefited from this Cloud Computing technology.
Below topics are explained in this Cloud Computing presentation:
1. Before Cloud Computing
2. What is Cloud Computing?
3. Benefits of Cloud Computing
4. Types of Cloud Computing
5. Who uses Cloud Computing?
Simplilearn’s Cloud Architect Master’s Program will build your Amazon Web Services (AWS) and Microsoft Azure cloud expertise from the ground up. You’ll learn to master the architectural principles and services of two of the top cloud platforms, design and deploy highly scalable, fault-tolerant applications and develop skills to transform yourself into an AWS and Azure cloud architect.
Why become a Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise are earning a median salary of $137,957.
Learn more at: https://www.simplilearn.com
Cloud computing involves delivering computing services over the Internet. Instead of running programs locally, users access software and storage that resides on remote servers in the "cloud." The concept originated in the 1950s but Amazon launched the first major public cloud in 2006. Cloud computing has three main components - clients that access the cloud, distributed servers that host applications and data, and data centers that house these servers. There are different types of clients, deployment models for clouds, service models, and cloud computing enables scalability, reliability, and efficiency for applications accessed over the Internet like email, social media, and search engines.
This document presents an introduction to cloud computing. It defines cloud computing as using remote servers and the internet to maintain data and applications. It describes the characteristics of cloud computing including APIs, virtualization, reliability, and security. It discusses the different types of cloud including public, private, community, and hybrid cloud. It also defines the three main cloud stacks: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The benefits of cloud computing are reduced costs, improved accessibility and flexibility. Cloud security and uses of cloud computing are also briefly discussed.
Learn about what a serverless architecture is, why they are growing in popularity, and who the key players are in a serverless API build on the AWS platform. Then get started building your own servless API!
Google Cloud Platform provides infrastructure and platform services including Compute Engine (IaaS), App Engine (PaaS), and storage and database services. The document provides an overview of these services, how they compare to traditional infrastructure approaches, and how to get started with Google Cloud Platform. Key services highlighted include Compute Engine for virtual machines, App Engine for scalable hosting of applications, BigQuery for big data analytics, and Cloud Storage for file storage.
This document discusses cloud computing, defining it as storing and accessing data and programs over the Internet instead of a computer's hard drive. It describes the types of cloud computing including public, private, hybrid, and community clouds. The advantages of cloud computing are reduced costs, increased storage, flexibility, mobility, and automation. Potential applications include word processing, customized programs, and data storage. The document also outlines some disadvantages like being unable to access the cloud without an Internet connection.
Google Cloud Platform provides several compute and storage services including Compute Engine, Container Engine, App Engine, Cloud Storage, Cloud SQL, Cloud Datastore, and Bigtable. App Engine is a platform as a service for building scalable web and mobile backends with managed runtimes and automatic scaling. Container Engine (GKE) provides Kubernetes container orchestration to deploy and manage containerized applications at scale. Cloud SQL is a fully-managed MySQL database, while Cloud Datastore is a NoSQL database for app backends.
Introduction to Amazon Web Services (AWS)Garvit Anand
The document provides an introduction to AWS (Amazon Web Services). It discusses cloud computing basics and benefits like scalability, cost savings, and innovation. Major players in the cloud market are mentioned, with AWS identified as the current leader. The document outlines the agenda, including AWS history, current users, and getting started instructions. Key AWS concepts are explained, such as regions, availability zones, and identity and access management (IAM). IAM is described as the mechanism for controlling user permissions to AWS resources. The presentation concludes with an invitation for questions.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at [email protected]
1. Google Cloud Platform Load BalancingIntroductionGoog.docxblondellchancy
1. Google Cloud Platform Load Balancing
Introduction:
Google Cloud Platform Load Balancing enables you to disseminate load-adjusted process assets in single or different locales, to meet your high accessibility prerequisites, to put your assets behind a solitary anycast IP and to scale your assets up or down with keen Autoscaling. Cloud Load Balancing is completely incorporated with Cloud CDN for ideal substance conveyance.
Utilizing Cloud Load Balancing, you can serve content as close as conceivable to your clients, on a framework that can react to more than 1 million questions for each second. Cloud Load Balancing is a completely dispersed, programming characterized, oversaw administration. It isn't occasion or gadget based, so you don't have to deal with a physical burden adjusting foundation.
Types of Cloud Load Balancing:
External load balancing:
Use external load balancing when you need to distribute traffic from the Internet to a GCP network. GCP external load balancing offers the following:
· HTTP or HTTPS traffic: global HTTP(S) Load Balancing
· TCP traffic with SSL offload: global SSL Proxy Load Balancing
· TCP traffic without SSL offload: global TCP Proxy Load Balancing
· UDP traffic: regional Network TCP/UDP Load Balancing
· IPv4 or IPv6 clients
· Global or regional load balancing
Global load balancing requires that you use the Premium Tier.
Internal load balancing:
Use internal load balancing when you need to distribute traffic to instances within a GCP network. GCP Internal TCP/UDP Load Balancing offers the following:
· TCP or UDP traffic
· RFC 1918 load balancing
· Client IP address is preserved
· Health checks
· Autoscaling without prewarming
· Session affinity
· Regional load balancing
GCP Internal HTTP(S) Load Balancing (Beta) offers the following:
· HTTP(S) traffic
· RFC 1918 load balancing
· Health checks
· Autoscaling without prewarming
· Session affinity
· Regional load balancing
2. GCP Security Process:
Introduction:
GCP administrations are intended to convey a more grounded security framework than given by conventional on-premises arrangements. Since Google keeps running on a similar framework made accessible to its clients, associations get similar advantages from these securities.
GCP Security Services:
VPC Service Controls: An instrument that makes and controls a security edge around information put away in API-based administrations like Google Cloud Storage, Big Query, and Bigtable.
Cloud Security Command Center: The device allows clients to view and screen their cloud resources and gives significant security bolster capacities like stockpiling framework filtering, powerlessness identification, and access consents survey.
Access Transparency: Provides clients with a review log of approved regulatory gets to from Google Support and Engineering that tracks action encompassing client information.
Cloud Armor: Cloud Armor is a DDoS and application safeguard administration. It is manufactured .
This document provides an overview of Google Cloud Platform (GCP) services. It begins by explaining why GCP is underpinned by Google's infrastructure and innovation. It then outlines GCP's compute, networking, storage, big data, and machine learning services. These include Compute Engine, Container Engine, App Engine, load balancing, Cloud DNS, Cloud Storage, Cloud Datastore, Cloud Bigtable, Cloud SQL, BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Datalab. Machine learning services such as Translate API, Prediction API, Cloud Vision API, and Cloud Speech API are also introduced.
Introduction to Google Cloud Platform (GCP) | Google Cloud Tutorial for Begin...Edureka!
(Google Cloud Certification Training - Cloud Architect: edureka.co/google-cloud-architect-certification-training)
This Edureka tutorial will provide you with a detailed introduction to Google Cloud Platform and it's various Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the different Zones and Regions where the servers are hosted, with a great demo.
This document discusses Google Cloud Platform and how Google powers its own services. It notes that Google is the fourth largest server manufacturer and would be the second largest internet service provider by traffic. It describes how Google builds customized hardware from cheap commodity parts and manages vast numbers of homogeneous servers at scale with software resilience and horizontal layers rather than hardware resilience and vertical stacks. The document also provides an overview of how Google's global data centers, communications network, data storage and distribution, services and APIs, and compute platforms can be utilized to build and scale applications. It includes several customer stories about how companies have used Google Cloud Platform for applications experiencing peak traffic, global data storage, crowd-sourcing weather data, and syncing notes across devices.
This document provides an overview of Google Cloud Platform (GCP) services. It discusses computing services like App Engine and Compute Engine for hosting applications. It covers storage options like Cloud Storage, Cloud Datastore and Cloud SQL. It also mentions big data services like BigQuery and machine learning services like Prediction API. The document provides brief descriptions of each service and highlights their key features. It includes code samples for using Prediction API to train a model and make predictions on new data.
Identity and access management (IAM) is the security discipline that enables the right individuals to access the right resources at the right times for the right reasons. IAM enables you to securely control access to your application or product services and resources for your users.
Azure Tutorial For Beginners | Microsoft Azure Tutorial For Beginners | Azure...Simplilearn
This presentation about Azure for beginners will help you understand what is cloud computing, what is Microsoft Azure, what are the services Azure offers, why is Azure better, which companies use Azure and you will also see a use case where we utilize some of the Azure cloud services. Cloud computing refers to the method of using the internet to store data, manage data and process data and Microsoft Azure is on such cloud service provider. It works on the basis of cloud computing. Microsoft Azure is a set of cloud services to build, manage and deploy applications on a network with the help of tools and frameworks. With the vast majority of organizations the world over adopting the cloud, demand for skilled professionals in this field is high. High salaries and a vast range of options for cloud computing experts have made it a sought-after industry for IT professionals. Now, let us get started and understand what is Microsoft Azure and the services that it has got to offer us.
Below topics are explained in this Azure presentation for beginners:
1. What is cloud computing?
2. What is Microsoft Azure?
3. What are the services Azure offers?
4. Why is Azure better?
5. Which companies use Azure?
6. Microsoft Azure Demo
About Simplilearn Machine Learning course:
Simplilearn's Developing Microsoft® Azure Solutions (70-532) certification training program is designed to give you mastery in Microsoft Azure enterprise-grade cloud platform. Through demos & practical applications, you’ll learn to design, develop, implement, automate, and monitor resilient and scalable cloud solutions on the Azure platform. The course will enable you to explore Microsoft Azure development environment and Azure platform features and learn development tools, techniques and approaches used to build and deploy cloud apps.
What skills will you learn from this Azure certification training course?
By the end of this Azure certification course, you will be able to:
1. Design and implement Web Apps
2. Create and manage virtual machines
3. Design and implement cloud services
4. Design and implement a storage strategy
5. Manage application and network services
Who should take up this Microsoft Azure certification training course?
This course is an essential requirement for those developers who need a strong understanding of concepts and practices related to cloud app development & deployment. Applicable careers include:
1 .NET Developers
2. Solution Architects/ Team Leads
3. DevOps Engineers / Application Engineers / QA Engineers
Learn more at https://www.simplilearn.com/cloud-computing/microsoft-azure-fundamentals-training
Google Cloud Platform Tutorial | GCP Fundamentals | EdurekaEdureka!
( Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-a... ) This Tutorial on Google Cloud Platform will provide you a detailed introduction to GCP and it's Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the various Zones and Regions where the servers are hosted.
Google Cloud Platform Training | Introduction To GCP | Google Cloud Platform ...Edureka!
***** Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-architect-certification-training *****
This Edureka tutorial will provide you with a detailed and comprehensive training on Google Cloud Platform and will also provide you with the training details of the Google Cloud Architect Certification Training.
Google Cloud Playlist: https://goo.gl/zEBTkL
Microsoft Azure is a cloud computing platform that allows users to build, deploy, and manage applications and services through Microsoft-managed data centers. It provides a global network that offers faster development times and scalability compared to traditional hosting, while reducing costs. Azure ensures data protection and security with backups, recovery options, and 99.99% uptime. Developers can build apps using any language or tool and deploy them anywhere while extending their existing IT infrastructure into the cloud.
AWS provides a comprehensive set of global cloud computing services including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. Some key services highlighted include EC2 for virtual servers, S3 for object storage, RDS for managed relational databases, DynamoDB for NoSQL database services, EBS for block storage volumes, VPC for virtual networking, IAM for access management, CloudFront for content delivery and Route 53 for DNS services. AWS operates across multiple geographic regions and availability zones for reliability and high availability.
Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.
Productive
Reduce time to market, by delivering features faster with over 100 end-to-end services.
Hybrid
Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack.
Intelligent
Create intelligent apps using powerful data and artificial intelligence services.
Trusted
Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.
What Is Cloud Computing? | Cloud Computing For Beginners | Cloud Computing Tr...Simplilearn
This Cloud Computing presentation will help you understand what is Cloud Computing, benefits of Cloud Computing, types of Cloud Computing and who uses Cloud Computing. In simple words, Cloud Computing is the use of a network of remote servers hosted on the internet to store, manage and process data rather than a local server. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. Organizations have moved to cloud platforms for better scalability, mobility, and security. Cloud solutions architects are among the highest paid professionals in the IT industry. With the cloud market set to grow more than ever before the need for IT staff with the appropriate technical and business skills has never been greater. This video will introduce you to Cloud Computing by explaining what it is and how do you get benefited from this Cloud Computing technology.
Below topics are explained in this Cloud Computing presentation:
1. Before Cloud Computing
2. What is Cloud Computing?
3. Benefits of Cloud Computing
4. Types of Cloud Computing
5. Who uses Cloud Computing?
Simplilearn’s Cloud Architect Master’s Program will build your Amazon Web Services (AWS) and Microsoft Azure cloud expertise from the ground up. You’ll learn to master the architectural principles and services of two of the top cloud platforms, design and deploy highly scalable, fault-tolerant applications and develop skills to transform yourself into an AWS and Azure cloud architect.
Why become a Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise are earning a median salary of $137,957.
Learn more at: https://www.simplilearn.com
Cloud computing involves delivering computing services over the Internet. Instead of running programs locally, users access software and storage that resides on remote servers in the "cloud." The concept originated in the 1950s but Amazon launched the first major public cloud in 2006. Cloud computing has three main components - clients that access the cloud, distributed servers that host applications and data, and data centers that house these servers. There are different types of clients, deployment models for clouds, service models, and cloud computing enables scalability, reliability, and efficiency for applications accessed over the Internet like email, social media, and search engines.
This document presents an introduction to cloud computing. It defines cloud computing as using remote servers and the internet to maintain data and applications. It describes the characteristics of cloud computing including APIs, virtualization, reliability, and security. It discusses the different types of cloud including public, private, community, and hybrid cloud. It also defines the three main cloud stacks: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The benefits of cloud computing are reduced costs, improved accessibility and flexibility. Cloud security and uses of cloud computing are also briefly discussed.
Learn about what a serverless architecture is, why they are growing in popularity, and who the key players are in a serverless API build on the AWS platform. Then get started building your own servless API!
Google Cloud Platform provides infrastructure and platform services including Compute Engine (IaaS), App Engine (PaaS), and storage and database services. The document provides an overview of these services, how they compare to traditional infrastructure approaches, and how to get started with Google Cloud Platform. Key services highlighted include Compute Engine for virtual machines, App Engine for scalable hosting of applications, BigQuery for big data analytics, and Cloud Storage for file storage.
This document discusses cloud computing, defining it as storing and accessing data and programs over the Internet instead of a computer's hard drive. It describes the types of cloud computing including public, private, hybrid, and community clouds. The advantages of cloud computing are reduced costs, increased storage, flexibility, mobility, and automation. Potential applications include word processing, customized programs, and data storage. The document also outlines some disadvantages like being unable to access the cloud without an Internet connection.
Google Cloud Platform provides several compute and storage services including Compute Engine, Container Engine, App Engine, Cloud Storage, Cloud SQL, Cloud Datastore, and Bigtable. App Engine is a platform as a service for building scalable web and mobile backends with managed runtimes and automatic scaling. Container Engine (GKE) provides Kubernetes container orchestration to deploy and manage containerized applications at scale. Cloud SQL is a fully-managed MySQL database, while Cloud Datastore is a NoSQL database for app backends.
Introduction to Amazon Web Services (AWS)Garvit Anand
The document provides an introduction to AWS (Amazon Web Services). It discusses cloud computing basics and benefits like scalability, cost savings, and innovation. Major players in the cloud market are mentioned, with AWS identified as the current leader. The document outlines the agenda, including AWS history, current users, and getting started instructions. Key AWS concepts are explained, such as regions, availability zones, and identity and access management (IAM). IAM is described as the mechanism for controlling user permissions to AWS resources. The presentation concludes with an invitation for questions.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at [email protected]
1. Google Cloud Platform Load BalancingIntroductionGoog.docxblondellchancy
1. Google Cloud Platform Load Balancing
Introduction:
Google Cloud Platform Load Balancing enables you to disseminate load-adjusted process assets in single or different locales, to meet your high accessibility prerequisites, to put your assets behind a solitary anycast IP and to scale your assets up or down with keen Autoscaling. Cloud Load Balancing is completely incorporated with Cloud CDN for ideal substance conveyance.
Utilizing Cloud Load Balancing, you can serve content as close as conceivable to your clients, on a framework that can react to more than 1 million questions for each second. Cloud Load Balancing is a completely dispersed, programming characterized, oversaw administration. It isn't occasion or gadget based, so you don't have to deal with a physical burden adjusting foundation.
Types of Cloud Load Balancing:
External load balancing:
Use external load balancing when you need to distribute traffic from the Internet to a GCP network. GCP external load balancing offers the following:
· HTTP or HTTPS traffic: global HTTP(S) Load Balancing
· TCP traffic with SSL offload: global SSL Proxy Load Balancing
· TCP traffic without SSL offload: global TCP Proxy Load Balancing
· UDP traffic: regional Network TCP/UDP Load Balancing
· IPv4 or IPv6 clients
· Global or regional load balancing
Global load balancing requires that you use the Premium Tier.
Internal load balancing:
Use internal load balancing when you need to distribute traffic to instances within a GCP network. GCP Internal TCP/UDP Load Balancing offers the following:
· TCP or UDP traffic
· RFC 1918 load balancing
· Client IP address is preserved
· Health checks
· Autoscaling without prewarming
· Session affinity
· Regional load balancing
GCP Internal HTTP(S) Load Balancing (Beta) offers the following:
· HTTP(S) traffic
· RFC 1918 load balancing
· Health checks
· Autoscaling without prewarming
· Session affinity
· Regional load balancing
2. GCP Security Process:
Introduction:
GCP administrations are intended to convey a more grounded security framework than given by conventional on-premises arrangements. Since Google keeps running on a similar framework made accessible to its clients, associations get similar advantages from these securities.
GCP Security Services:
VPC Service Controls: An instrument that makes and controls a security edge around information put away in API-based administrations like Google Cloud Storage, Big Query, and Bigtable.
Cloud Security Command Center: The device allows clients to view and screen their cloud resources and gives significant security bolster capacities like stockpiling framework filtering, powerlessness identification, and access consents survey.
Access Transparency: Provides clients with a review log of approved regulatory gets to from Google Support and Engineering that tracks action encompassing client information.
Cloud Armor: Cloud Armor is a DDoS and application safeguard administration. It is manufactured .
The document discusses cloud computing, including definitions, benefits, characteristics, service models, and major cloud providers. It defines cloud computing as storing and accessing data and programs over the Internet instead of a computer's hard drive. The main benefits are pay-per-use pricing, availability, optimization of resources, disaster recovery, agility, and flexibility. Characteristics include on-demand self-service, broad network access, resource pooling, and rapid elasticity. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Major cloud providers are Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Alibaba Cloud,
Introduction to Google Cloud & GCCP CampaignGDSCVJTI
Topics covered:
🔴 Why Cloud?
🔴 Learn the basics of cloud.
🔴 Applications of cloud.
🔴 Introduction to the Google Cloud platform
🔴 Insights on the upcoming GCCP Campaign
This document provides an overview and schedule for the Google Cloud Study Jam hosted by GDSC NCU from September to October 2023. It will be facilitated by Lakshay Yadav, a Cloud Facilitator. The document introduces cloud computing concepts like the cloud service models of Infrastructure as a Service, Platform as a Service, and Software as a Service. It describes Google Cloud products and services like Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, BigQuery and others. It also covers the Google Cloud Console, Cloud SDK, Cloud Shell, billing, projects, security and IAM.
This document summarizes a training session on Google Cloud services that included discussions of GCP storage services, compute services, and security and IAM. The agenda included segments on GCP storage services, Cloud Security & IAM, and GCP compute services. It provided overviews of various GCP compute options including Compute Engine, Kubernetes Engine, App Engine, and Cloud Functions. It also summarized different GCP storage services and how to determine the best fit based on data and workload characteristics. Additionally, it covered key aspects of security and IAM on GCP including shared responsibility, service accounts, and IAM roles.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It has three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). IaaS provides basic computing resources, PaaS provides platforms to build applications, and SaaS provides complete applications users can access. Popular cloud platforms include Amazon EC2 for IaaS and Google App Engine for PaaS. Cloud computing offers advantages like scalability, cost savings and device independence.
Big data application using hadoop in cloud [Smart Refrigerator] Pushkar Bhandari
This document proposes a smart refrigerator concept that uses cloud computing and big data techniques. Sensors in the refrigerator would generate and store data in the cloud. This data could then be used to detect malfunctions and provide notifications to users. It also allows third-party vendors regulated access to analyze the data for purposes like sending discount offers or analyzing refrigerator use patterns.
This document provides an overview of cloud computing, including its types (private, public, community, hybrid cloud), layers (client, application, platform, infrastructure, server), services, and advantages and disadvantages. Cloud computing involves moving computing and data storage away from local devices to centralized servers accessed over the internet. It offers on-demand access to software, information, and computing resources without needing to install or maintain the applications locally.
** Diadem Technologies | Cloud Computing | Nasscom Workshop in Kolkata **
Diadem Technologies is a leading web hosting service provider, specialising in providing managed and customised hosted solutions for its 1500+ clients.
Cloud Computing – Opportunities, Definitions, Options, and Risks (Part-1)Manoj Kumar
Understand about current cloud market, cloud service providers - Azure or Amazon, cloud fundamentals, VM Virtualization, Cloud deployment models, IaaS vs PaaS vs SaaS, Cloud Security and Risks.
This document provides an overview of cloud computing. It begins with defining cloud computing and outlining its key characteristics: broad network access, resource pooling, elasticity, measured service, and self-service. It then discusses the benefits of cloud computing for organizations, including reducing costs, improving scalability and agility. It also covers the main cloud service models of IaaS, PaaS and SaaS. The document concludes with an overview of common cloud products and services, deployment models of public, private and hybrid clouds, and a quick recap of the key topics.
Harnessing the Power of Google Cloud Platform: Strategies and ApplicationsHitesh Mohapatra
The document discusses Google Cloud Platform (GCP), a suite of cloud computing services provided by Google. It provides infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). GCP allows users to access computing power, storage, databases, and other applications through remote servers on the internet. It offers advantages like scalability, security, redundancy, and cost-effectiveness compared to traditional data centers. Example applications of GCP include enabling collaborative document editing in real-time.
This document discusses the migration to cloud computing and the opportunities for combining public and private clouds. It argues that most organizations will utilize a hybrid cloud model, using both public cloud services from providers like Microsoft Azure as well as maintaining some applications and infrastructure on private clouds. Service providers can help organizations optimize costs and IT resources by offering managed services that integrate private clouds with public cloud platforms. The document outlines several examples of how service providers could develop offerings around disaster recovery, bursting computing capacity to the public cloud, and hosting applications on Azure.
Cloud computing is a general term for network-based computing that takes place over the Internet. It provides on-demand access to shared pools of configurable computing resources like networks, servers, storage, applications, and services. Key characteristics include elasticity, ubiquitous network access, and pay-per-use pricing. Some advantages include lower costs, universal access, automatic updates, and unlimited storage. However, it also requires a constant Internet connection and raises security and data loss concerns.
The document provides an overview of modern cloud architecture. It discusses key cloud concepts like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers architectural considerations for cloud applications like multi-tenancy, load balancing, scaling, security, monitoring, and metering. Microservices architecture and containerization are introduced as approaches for building applications for the cloud. Data-intensive architectures like lambda architecture are also summarized.
This paper proposes a shoulder inverse kinematics (IK) technique. Shoulder complex is comprised of the sternum, clavicle, ribs, scapula, humerus, and four joints.
"Boiler Feed Pump (BFP): Working, Applications, Advantages, and Limitations E...Infopitaara
A Boiler Feed Pump (BFP) is a critical component in thermal power plants. It supplies high-pressure water (feedwater) to the boiler, ensuring continuous steam generation.
⚙️ How a Boiler Feed Pump Works
Water Collection:
Feedwater is collected from the deaerator or feedwater tank.
Pressurization:
The pump increases water pressure using multiple impellers/stages in centrifugal types.
Discharge to Boiler:
Pressurized water is then supplied to the boiler drum or economizer section, depending on design.
🌀 Types of Boiler Feed Pumps
Centrifugal Pumps (most common):
Multistage for higher pressure.
Used in large thermal power stations.
Positive Displacement Pumps (less common):
For smaller or specific applications.
Precise flow control but less efficient for large volumes.
🛠️ Key Operations and Controls
Recirculation Line: Protects the pump from overheating at low flow.
Throttle Valve: Regulates flow based on boiler demand.
Control System: Often automated via DCS/PLC for variable load conditions.
Sealing & Cooling Systems: Prevent leakage and maintain pump health.
⚠️ Common BFP Issues
Cavitation due to low NPSH (Net Positive Suction Head).
Seal or bearing failure.
Overheating from improper flow or recirculation.
☁️ GDG Cloud Munich: Build With AI Workshop - Introduction to Vertex AI! ☁️
Join us for an exciting #BuildWithAi workshop on the 28th of April, 2025 at the Google Office in Munich!
Dive into the world of AI with our "Introduction to Vertex AI" session, presented by Google Cloud expert Randy Gupta.
The role of the lexical analyzer
Specification of tokens
Finite state machines
From a regular expressions to an NFA
Convert NFA to DFA
Transforming grammars and regular expressions
Transforming automata to grammars
Language for specifying lexical analyzers
ELectronics Boards & Product Testing_Shiju.pdfShiju Jacob
This presentation provides a high level insight about DFT analysis and test coverage calculation, finalizing test strategy, and types of tests at different levels of the product.
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
Sorting Order and Stability in Sorting.
Concept of Internal and External Sorting.
Bubble Sort,
Insertion Sort,
Selection Sort,
Quick Sort and
Merge Sort,
Radix Sort, and
Shell Sort,
External Sorting, Time complexity analysis of Sorting Algorithms.
The Fluke 925 is a vane anemometer, a handheld device designed to measure wind speed, air flow (volume), and temperature. It features a separate sensor and display unit, allowing greater flexibility and ease of use in tight or hard-to-reach spaces. The Fluke 925 is particularly suitable for HVAC (heating, ventilation, and air conditioning) maintenance in both residential and commercial buildings, offering a durable and cost-effective solution for routine airflow diagnostics.
2. Content
What is cloud computing?
Why GCP?
Comparison
Introduction to GCP
Service provided by GCP
Cloud IAM
Compute Engine
Compute Storage
Virtual Private Cloud
Demo
3. What is cloud computing?
Cloud computing is the on-demand availability of computer system resources,
especially data storage and computing power, without direct active
management by the user
Service Models: IaaS, PaaS, SaaS, FaaS
5. Why GCP?
Runs on Google's Infrastructure
Performance you can count up on
Cost: Google’s Cloud is the clear winner when it comes to compute and
storage costs compared to AWS
Market: AWS is the market leader when compared with AWS
In terms of VM size, GCP now offers the largest VMs in the market
Fast bootup of VMs or any resources
As per Gartner survey, GCP has better UX
6. Introduction to GCP
Google Cloud Platform enables developers to build, test and deploy
applications on Google's highly scalable and reliable infrastructure. Choose
from computing storage and application services from your web, mobile and
Backend solutions.
Google cloud platform is a set of modular cloud based services that allow you
to create anything from simple to complex applications.
These services/resources are categorised as Global, regional, or zonal
resources
7. • global resources include preconfigured disk images, disk snapshots, and networks
• regional resources include static external IP addresses
• zonal resources include VM instances, their types, and disks
11. Cloud IAM
With Cloud IAM, you manage access
control by defining who (identity) has
what access (role) for which resource.
Enterprise-grade access control
Features:
• Single access control interface
• Fine-grained control
• Context-aware access
• Flexible roles
• Web, programmatic, and command-line
access
• Free of charge
12. Access management has three main
parts:
Member: A member can be a Google Account (for end users), a service
account (for apps and virtual machines), a Google group, or a G Suite or Cloud
Identity domain that can access a resource.
Role. A role is a collection of permissions. Permissions determine what
operations are allowed on a resource.
Policy. The Cloud IAM policy binds one or more members to a role
14. Service Account
A service account is an account for an application instead of an individual end
user
When you run code that's hosted on Google Cloud, the code runs as the
account you specify
You can create as many service accounts as needed to represent the different
logical components of your application