Google App Engine is a platform as a service (PaaS) cloud computing platform for developing and hosting web applications in Google-managed data centers.
Google App Engine is a platform as a service (PaaS) released by Google in 2008 that allows users to build and host web applications in Google's infrastructure. It provides automatic scaling, load balancing, data storage and APIs for common services like user authentication. Developers code applications using languages like Java or Python and deploy them without having to worry about provisioning servers, running databases or managing middleware. The platform handles tasks like code and traffic management automatically behind the scenes.
Google App Engine allows users to host web applications on Google's infrastructure without having to maintain servers or databases. It provides automatic scaling, free quotas for storage and bandwidth usage, and a simple deployment process. The document provides an overview of App Engine, including how to get started, the services it offers like Datastore and Memcache, and best practices for building scalable applications on the platform.
Part I: Introduction to Cloud Computing
- What is Cloud Computing?
- Classification of Cloud Computing
Part II: Introduction to Google App Engine
- What is Google App Engine?
- Why Google App Engine?
- Core APIs & Language Support
- Google App Engine for Business
- Google App Engine Customers
- Q&A
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
This is an overview presentation on Google App Engine. This was given at the Google hackathon @ SXSW Interactive, 2010.
bit.ly/googlehackathonsxsw
bit.ly/gcodelabs
A review and update presentation on Google App Engine's latest features up through version 1.5.3 and including new experimental features. This presentation was given to the San Diego GTUG on Aug 26, 2011.
Introduction to Google App Engine talk delivered 2010 Jul 16 at EuroPython in Birmingham, UK and 2010 Jul 22 at the GTUG in London by Wesley Chun, Developer Advocate for Google.
Google App Engine is a platform for building and hosting web applications in Google's cloud. It allows developers to build, run, and maintain applications without having to manage infrastructure. Some key features include automatic scaling for traffic, simple administration, and a free usage tier. Over 250,000 developers have built over 250 million apps on App Engine using languages including Java, Python, PHP and JavaScript.
Google App Engine is a platform as a service (PaaS) released by Google in 2008 that allows users to build and host web applications in Google's infrastructure. It provides automatic scaling, load balancing, data storage and APIs for common services like user authentication. Developers code applications using languages like Java or Python and deploy them without having to worry about provisioning servers, running databases or managing middleware. The platform handles tasks like code and traffic management automatically behind the scenes.
Google App Engine allows users to host web applications on Google's infrastructure without having to maintain servers or databases. It provides automatic scaling, free quotas for storage and bandwidth usage, and a simple deployment process. The document provides an overview of App Engine, including how to get started, the services it offers like Datastore and Memcache, and best practices for building scalable applications on the platform.
Part I: Introduction to Cloud Computing
- What is Cloud Computing?
- Classification of Cloud Computing
Part II: Introduction to Google App Engine
- What is Google App Engine?
- Why Google App Engine?
- Core APIs & Language Support
- Google App Engine for Business
- Google App Engine Customers
- Q&A
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
This is an overview presentation on Google App Engine. This was given at the Google hackathon @ SXSW Interactive, 2010.
bit.ly/googlehackathonsxsw
bit.ly/gcodelabs
A review and update presentation on Google App Engine's latest features up through version 1.5.3 and including new experimental features. This presentation was given to the San Diego GTUG on Aug 26, 2011.
Introduction to Google App Engine talk delivered 2010 Jul 16 at EuroPython in Birmingham, UK and 2010 Jul 22 at the GTUG in London by Wesley Chun, Developer Advocate for Google.
Google App Engine is a platform for building and hosting web applications in Google's cloud. It allows developers to build, run, and maintain applications without having to manage infrastructure. Some key features include automatic scaling for traffic, simple administration, and a free usage tier. Over 250,000 developers have built over 250 million apps on App Engine using languages including Java, Python, PHP and JavaScript.
The document discusses Google App Engine (GAE), a platform as a service (PaaS) offering from Google Cloud Platform. It provides an overview of cloud computing models including infrastructure as a service (IaaS), PaaS, and software as a service (SaaS). GAE allows developers to build and host web applications on Google's infrastructure and supports applications written in Python, Java, Go, and PHP. Examples of using GAE to host websites and build applications using Google Maps are also presented.
This document discusses Google App Engine, including its architecture as a platform-as-a-service that allows building and hosting web apps on Google's infrastructure, providing automatic scaling, load balancing, and a datastore. It outlines advantages like ease of use, scalability and lower costs, as well as challenges around dependence on Google and potential lock-in. The document concludes by noting Google App Engine's growth but also increased competition in the platform-as-a-service market.
Google App Engine is a platform that allows developers to run web applications on Google's infrastructure. It provides automatic scaling, load balancing, data storage with queries and transactions, user authentication with Google Accounts, and scheduling of tasks. Developers can use popular programming languages like Python, PHP, Java, and Go. The platform offers a NoSQL data store, a relational SQL database, and cloud storage for large files. It also includes an admin console and documentation to get started with a "Hello World" Python app.
Platform as a service google app engineDeepu S Nath
The document discusses various Platform as a Service (PaaS) offerings, including Google App Engine. It provides an overview of PaaS, describing it as a category of cloud computing services that provides a computing platform and solution stack. Popular PaaS offerings mentioned include Heroku, Windows Azure, dotCloud, Cloud Foundry, Engine Yard, and Google App Engine. For each, it briefly outlines their key features and technologies.
Apps are software programs that run on devices like phones, computers, or online. Google Apps are a suite of online services and applications provided by Google. Google App Engine allows developers to host web applications on Google's servers and infrastructure. It provides automatic scaling, high availability, security, and is easy to use. Developers can get started for free with App Engine and pay only for additional resources needed beyond free usage limits.
Presentation copy of Google App Engine with hands-on presented at Cloud Computing Workshop at VTU,2014. Explored the fundamentals of Google App Engine and its features.
Also covers the instructions to set GAE locally and later to deploy on appengine.
The document introduces Google App Engine (GAE). It discusses that GAE allows developers to build applications that run on Google's infrastructure, providing scalability and efficiency. It also overview cloud computing concepts and GAE's features like dynamic web applications, data storage, and additional services. Finally, it provides a toy example of a GAE application and how to develop applications using the Python SDK.
Google App Engine is a PaaS that allows developers to build and deploy web applications in the cloud without having to manage servers or databases. It provides automatic scaling, high availability, and free usage up to certain quotas. Developers use the App Engine SDK to build and test applications locally before deploying them to Google's infrastructure where App Engine services like Datastore, Memcache, and Google Accounts handle scaling and management.
Google App Engine is cloud computing technology. Google App Engine is software that facilitates the user to run his web applications on Google infrastructure
This document provides an overview of Google App Engine, including what cloud computing is, the different types of cloud computing models, how App Engine provides a scalable infrastructure, the programming languages and frameworks supported, how data is stored and accessed via the datastore, services available on App Engine like caching, task queues, and mail, and tips for testing and deploying App Engine applications.
Google App Engine tutorial for Java. Demonstrates how to open an account, setup a connection between your server and an Android app and some more features of GAE.
This document provides an introduction and overview of Google App Engine (GAE). It discusses what GAE is, the benefits of using it, and how to get started developing applications on GAE using languages like Python and Java. It also covers how to authenticate GAE apps using Google authentication, call the Google Calendar API, and use Google Cloud SQL for databases. The goal is to explain the basics of the GAE platform and services to help developers build scalable apps.
This document discusses cloud computing and Google App Engine. It provides an overview of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and examples of each from Google. Google App Engine is described as a platform built on Google's infrastructure that allows hosting web applications and provides APIs, runtimes including Python, Java, and Go, and other features like caching and email sending. Limitations of App Engine are also listed such as not having native threads or sockets.
Patrick Chanezon and Guillaume Laforge are presenting Google App Engine Java and Gaelyk, the lightweight groovy toolkit on top of the GAE SDK, at the Devoxx conference
Google App Engine allows users to develop and run web applications on Google's infrastructure without having to manage servers. It provides automatic scaling, a data store based on BigTable, user authentication through Google accounts, and scheduled tasks. Applications run in a secure sandbox and are only able to access other computers through HTTP and email. The SDK allows local development and testing before deploying apps to Google's servers from Windows or Mac computers.
The document discusses Cloud Computing and Google App Engine. It defines Cloud Computing as providing virtual computer resources over the internet. Google App Engine is described as a Platform-as-a-Service that allows developers to build and host scalable web applications on Google's infrastructure. Key features of Google App Engine include automatic scaling, data storage, and developer tools for deployment and management. The document also compares Google App Engine to Amazon Web Services, noting App Engine has advantages of transparency and ease of use while AWS provides more flexibility and customization options.
[TTT Meetup] Enhance mobile app testing with performance-centric strategies (...NITHIN S.S
In mobile app spaces, with all these evolving technologies and competitors, 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 plays an important role in terms of delivering a seamless end-user experience. Improving performance has become the top priority for all global mobile app companies as it directly impacts user experience, retention rates, conversions, and ultimately revenue. Even if we deliver a brilliant feature with performance issues, people will eventually stop using those apps. As high-performing apps are user favourites, we testers should also adopt performance-centric strategies while testing mobile apps.
In this talk, you will learn about:
Basic types of mobile apps.
An overview of important performance metrics to consider.
Basics and importance of mobile app performance testing with trends and parameters.
Factors to consider while evaluating an app’s performance & ideas to prepare a performance-oriented testing strategy.
Best practices and tools to consider for providing valuable insights to stakeholders.
Quick glance at the rise of 5G and its impact in the mobile app space.
The document discusses Google App Engine (GAE), a platform as a service (PaaS) offering from Google Cloud Platform. It provides an overview of cloud computing models including infrastructure as a service (IaaS), PaaS, and software as a service (SaaS). GAE allows developers to build and host web applications on Google's infrastructure and supports applications written in Python, Java, Go, and PHP. Examples of using GAE to host websites and build applications using Google Maps are also presented.
This document discusses Google App Engine, including its architecture as a platform-as-a-service that allows building and hosting web apps on Google's infrastructure, providing automatic scaling, load balancing, and a datastore. It outlines advantages like ease of use, scalability and lower costs, as well as challenges around dependence on Google and potential lock-in. The document concludes by noting Google App Engine's growth but also increased competition in the platform-as-a-service market.
Google App Engine is a platform that allows developers to run web applications on Google's infrastructure. It provides automatic scaling, load balancing, data storage with queries and transactions, user authentication with Google Accounts, and scheduling of tasks. Developers can use popular programming languages like Python, PHP, Java, and Go. The platform offers a NoSQL data store, a relational SQL database, and cloud storage for large files. It also includes an admin console and documentation to get started with a "Hello World" Python app.
Platform as a service google app engineDeepu S Nath
The document discusses various Platform as a Service (PaaS) offerings, including Google App Engine. It provides an overview of PaaS, describing it as a category of cloud computing services that provides a computing platform and solution stack. Popular PaaS offerings mentioned include Heroku, Windows Azure, dotCloud, Cloud Foundry, Engine Yard, and Google App Engine. For each, it briefly outlines their key features and technologies.
Apps are software programs that run on devices like phones, computers, or online. Google Apps are a suite of online services and applications provided by Google. Google App Engine allows developers to host web applications on Google's servers and infrastructure. It provides automatic scaling, high availability, security, and is easy to use. Developers can get started for free with App Engine and pay only for additional resources needed beyond free usage limits.
Presentation copy of Google App Engine with hands-on presented at Cloud Computing Workshop at VTU,2014. Explored the fundamentals of Google App Engine and its features.
Also covers the instructions to set GAE locally and later to deploy on appengine.
The document introduces Google App Engine (GAE). It discusses that GAE allows developers to build applications that run on Google's infrastructure, providing scalability and efficiency. It also overview cloud computing concepts and GAE's features like dynamic web applications, data storage, and additional services. Finally, it provides a toy example of a GAE application and how to develop applications using the Python SDK.
Google App Engine is a PaaS that allows developers to build and deploy web applications in the cloud without having to manage servers or databases. It provides automatic scaling, high availability, and free usage up to certain quotas. Developers use the App Engine SDK to build and test applications locally before deploying them to Google's infrastructure where App Engine services like Datastore, Memcache, and Google Accounts handle scaling and management.
Google App Engine is cloud computing technology. Google App Engine is software that facilitates the user to run his web applications on Google infrastructure
This document provides an overview of Google App Engine, including what cloud computing is, the different types of cloud computing models, how App Engine provides a scalable infrastructure, the programming languages and frameworks supported, how data is stored and accessed via the datastore, services available on App Engine like caching, task queues, and mail, and tips for testing and deploying App Engine applications.
Google App Engine tutorial for Java. Demonstrates how to open an account, setup a connection between your server and an Android app and some more features of GAE.
This document provides an introduction and overview of Google App Engine (GAE). It discusses what GAE is, the benefits of using it, and how to get started developing applications on GAE using languages like Python and Java. It also covers how to authenticate GAE apps using Google authentication, call the Google Calendar API, and use Google Cloud SQL for databases. The goal is to explain the basics of the GAE platform and services to help developers build scalable apps.
This document discusses cloud computing and Google App Engine. It provides an overview of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and examples of each from Google. Google App Engine is described as a platform built on Google's infrastructure that allows hosting web applications and provides APIs, runtimes including Python, Java, and Go, and other features like caching and email sending. Limitations of App Engine are also listed such as not having native threads or sockets.
Patrick Chanezon and Guillaume Laforge are presenting Google App Engine Java and Gaelyk, the lightweight groovy toolkit on top of the GAE SDK, at the Devoxx conference
Google App Engine allows users to develop and run web applications on Google's infrastructure without having to manage servers. It provides automatic scaling, a data store based on BigTable, user authentication through Google accounts, and scheduled tasks. Applications run in a secure sandbox and are only able to access other computers through HTTP and email. The SDK allows local development and testing before deploying apps to Google's servers from Windows or Mac computers.
The document discusses Cloud Computing and Google App Engine. It defines Cloud Computing as providing virtual computer resources over the internet. Google App Engine is described as a Platform-as-a-Service that allows developers to build and host scalable web applications on Google's infrastructure. Key features of Google App Engine include automatic scaling, data storage, and developer tools for deployment and management. The document also compares Google App Engine to Amazon Web Services, noting App Engine has advantages of transparency and ease of use while AWS provides more flexibility and customization options.
[TTT Meetup] Enhance mobile app testing with performance-centric strategies (...NITHIN S.S
In mobile app spaces, with all these evolving technologies and competitors, 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 plays an important role in terms of delivering a seamless end-user experience. Improving performance has become the top priority for all global mobile app companies as it directly impacts user experience, retention rates, conversions, and ultimately revenue. Even if we deliver a brilliant feature with performance issues, people will eventually stop using those apps. As high-performing apps are user favourites, we testers should also adopt performance-centric strategies while testing mobile apps.
In this talk, you will learn about:
Basic types of mobile apps.
An overview of important performance metrics to consider.
Basics and importance of mobile app performance testing with trends and parameters.
Factors to consider while evaluating an app’s performance & ideas to prepare a performance-oriented testing strategy.
Best practices and tools to consider for providing valuable insights to stakeholders.
Quick glance at the rise of 5G and its impact in the mobile app space.
This document discusses event driven architectures. It defines an event driven architecture as a framework that orchestrates behavior in response to events. It distinguishes between messages, which request actions, and events, which reflect completed actions. An example is provided of an order processing workflow with and without an event driven architecture. Key advantages of event driven architectures are also outlined, including improved scalability, fault tolerance, and the ability to more easily develop and release new features. Implementation options for event driven architectures like Amazon Kinesis, Azure Event Hubs, and Apache Kafka are also briefly mentioned.
The document discusses 3 key ways that developing software for the cloud differs from traditional approaches:
1. Incremental delivery, with frequent small releases of new features rather than large periodic releases.
2. Increased automation, including automated testing and continuous integration/deployment pipelines to support more agile development and deployment.
3. Analytics of usage data to inform product decisions and ensure features are valuable to users. Developing with the cloud in mind requires rethinking processes to focus on agility, automation and data-driven insights.
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.
ATAGTR2017 Unified APM: The new age performance monitoring for production sys...Agile Testing Alliance
The presentation on Unified APM: The new age performance monitoring for production systems was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Kaushik Raghavan
Application Architecture Summit - Monitoring the Dynamic Cloud New Relic
How do you apply modern application to your digital business? Hear from New Relic's Sr Director, Strategic Architecture, Lee Atchison, at the Application Architecture Summit. Learn more here: https://newrelic.com/partner/aws
For enterprises trying to stay ahead of the game, having a robust and fast application development program can make or break their market presence. The challenge for developers, however, is to build responsive, devise-agnostic applications in days, not months.
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.
How to Monitor Your Java & .NET Applications with eG EnterpriseeG Innovations
Troubleshooting application problems is never easy. There’s always a blame game going on between App Dev, IT Ops and DevOps teams to decide where an application problem originated and who owns it. There could be a code-level issue in the application, a long-running query can slow application processing, slow third-party calls are another common problem in the application framework.
In the latest update of our IT monitoring solution, eG Enterprise version 6.3, we’ve introduced new application performance monitoring (APM) capabilities to deliver code-level and query-level visibility for Java and .NET environments. Join this session and learn how the new capabilities will help you extend performance monitoring to solve more complex IT problems.
Key topics to be covered in the webinar:
Real User Monitoring: Track user experience issues in real time
Business Transaction Tracing: Analyze application transactions and identify code-level issues
Converged App & Infra Monitoring: Get correlated insight to pinpoint the root cause of problems: Network? Database? Virtualization? App code?
Moving complex enterprise ecommerce systems to the cloudElastic Path
Developing and operating an enterprise commerce ecosystem, with its complex integrations, can often be a significant challenge. Are you wondering if a migration to the cloud would be best for your business, or if it is even possible for your specific applications? In this webinar we will discuss some of the advantages and disadvantages of working in a Platform-as-a-Service (PaaS) environment, such as dealing with restricted classes, leveraging automatic scalability, and migrating the persistence layer. Learn from our experiences, as we reveal what worked best as we moved our own multi-server enterprise application from traditional collocated hardware into the Google App Engine cloud environment.
SenchaCon 2016: Using Ext JS 6 for Cross-Platform Development on Mobile - And...Sencha
Andrew will share the experience he and his team have gotten from using Ext JS 6 for cross-platform app development on mobile and desktop devices. Having released Ext JS 6 apps for industries including utilities, oil & gas, construction, and transport, Andrew has learned the common pitfalls and gotchas you need to know. Using examples from recent projects, he provides tips for those who aren't yet familiar or experienced with mobile development. By the end of the session, you will know how to think like a mobile developer, develop apps with mobile user experience in mind, make the move from Ext JS 5 or Sencha Touch to Ext JS 6, deploy native apps with Cordova, and manage data on devices with limited resources.
Application Insights - Real time telemetry for your cross platform applicationsAbhijit Jana
Using Application Insights across various platforms including Web, Universal Windows Platform and other mobile platform such as Android / iOS Apps. Identifying and Solving real time problems with Application Insights. How to leverage the data from App Insights to Power BI for better data driven decision.
Edwin Chou discusses HTC's use of AWS cloud services since 2010. Some key reasons for using AWS include no lead time needed, global capabilities, security, and saving money by avoiding overprovisioning and benefiting from AWS's pay-as-you-go model. Chou highlights how they implemented a system on AWS for managing over 50 million devices, gaining auto-scaling, high availability, and disaster recovery while reducing costs from $1,500/month to under $1,500/year. Lessons learned include gaining visibility, control, and automation through tools and policies while designing cloud-native architectures.
What serverless means for enterprise appsSumit Sarkar
There’s a new approach to app development ripe with misconceptions and more buzzwords to translate to business sponsors. Industry analysts call it serverless, but it’s also known as backend as a service (BaaS), function as a service (FaaS), cloud-native architectures, or microservices—just to name a few. Whatever you call it, this approach is giving developers new freedom to focus on frontend functionality and deliver better, more innovative user experiences and ultimately establish value faster. Let’s discuss the pros and cons of serverless in enterprise architectures.
This document discusses how to auto scale .NET applications in Amazon Web Services. It covers key concepts like scalability versus auto scaling, using a load balancer and solving session issues for web applications, and monitoring applications to enable auto scaling. The document provides an example of scaling an application from 2 web servers and 3 application servers in 2012 to 3 SQL servers and more elastic resources like SQS and ElastiCache by 2015. It also discusses best practices for auto scaling like using out-of-process sessions, log collection, and setting CloudWatch alarms to trigger auto scaling rules.
This document discusses how to auto scale .NET applications in Amazon Web Services. It covers key concepts like scalability versus auto scaling, using a load balancer and solving session issues for web applications, and monitoring applications to enable auto scaling. The document provides an example of scaling an application from 2 web servers and 3 application servers in 2012 to 3 SQL servers and more elastic resources like SQS and ElastiCache by 2015. It also discusses best practices for auto scaling like using out-of-process sessions, log collection, and setting CloudWatch alarms to trigger auto scaling rules.
This presentation includes:
- Why performance matters for digital businesses?
- Use Cases for performance / load testing
- Load Test Design Considerations
- Tools and Technologies
- Methodology and Approach
- Activities and Deliverables
- Load Testing Success Stories
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
2. Topics We Cover In This Session
Designing for Scale and Reliability
•What problems App Engine resolve?
•App Engine Stack
•App Engine design
motivations
How Front End works
•Edge Caching
•Load Balancing
How App Server works
•Frontend and Backend instances
•Pending Latency and Idle Instance
6. Designing for Scale and Reliability
A Case Study : Real time Earthquake Monitor
•By NIED Japan in collaboration with Google
•The blinking dots represents real time Peak
Ground Acceleration
•20,000 concurrent users, 10000 req/sec at peak
8. Designing for Scale and Reliability
The important requirements for Earthquake monitor site
•Scalability
- As it gets spike of traffic at the event of earthquake
•Reliability
- It’s useless if it does not work at the time of disaster
•Cost efficiency
- It’s too expensive to prepare for enough hardware resources that can handle the peak
traffic. They would be idle for the rest of the time.
9. Designing for Scale and Reliability
How do I design a web service that is scalable and
reliable like this?
15. Designing for Scale and Reliability
VM
MANAGEMENT
SOFTWARE
MANAGEMENT
WEB
SERVER DISTRIBUTED
DATABASE
DISTRIBUTED
FILE SYSTEM
APPLICATION
MONITORING
SECURITY
LOAD
BALANCING
???????
19. Designing for Scale and Reliability
Google App Engine is a platform for building scalable web applications and mobile
backends. App Engine provides you with built-in services and APIs such as NoSQL
datastores, memcache, and a user authentication API, common to most applications.
App Engine will scale your application automatically in response to the amount of
traffic it receives so you only pay for the resources you use. Just upload your code
and Google will manage your app's availability. There are no servers for you to
provision or maintain
20. Designing for Scale and Reliability
Key Features of Google App Engine
•Start Quickly, Build Faster
built-in services such as load balancing, health checks, and application logging
•Automatic Scaling
App Engine offers built-in auto-scaling so that your apps can instantly scale
automatically based on need, from zero to millions of users.
•Automated Security Scanning
Security Scanner automatically scans and detects common web application
vulnerabilities.
•Use the Tools You Love
App Engine works with popular development tools such as Eclipse, IntelliJ, Maven, Git,
Jenkins, and PyCharm
21. Designing for Scale and Reliability
The App Engine Encapsulate Them All
What if you have:
•Hardware failures
•Traffic Spike
•Growing Big Data
•No initial fund
•No one to build/operate
22. Designing for Scale and Reliability
App Engine design motivations
Encourage Google’s best practice for scalability and reliability
Non-relational data model by Datastore/Bigtable
Sharding, Denormalization…
Portable and fine-grained app design
Fast request handling to optimize server resource utilization
Independent to each physical server
It’s not just a hosting service: App Engine empowers you to design your app in
Google way!
24. hat Benefits will Front End provide?
Huge difference between the traffic volume on the orange line (the number of requests)
and blue line (the number of requests handled by application)
How Front End works
25. hat Benefits will Front End provide?
Huge difference between the traffic volume on the orange line (the number of requests)
and blue line (the number of requests handled by application)
How Front End works
26. Life of a Request in Front End
How Front End works
GFE closest to the
user provides edge
caching capability
AE FE provides load
balancing on App Servers
and Static Servers
29. How App Engine works
What is an Application Instance?
Similar to a virtual machine, provides a runtime environment for your app
•has dedicated memory for your app
•but fully managed
No burden of managing OS; the overhead, device drivers, security..
30. How App Engine works
ntend and Backend Instances
Frontend instances (not App Engine Front End)
•Dynamically created and deleted = low cost
•Enforce fast response and stateless design
•Suitable for processing short-lived requests
Backend instances
•Statically created and deleted = higher cost
•No limit for response time, support stateful design
•Suitable for batch processing
31. How App Engine works
How Frontend instances Scale
•App Engine watches pending request queue of each instances
•Let’s see what would happen if your app gets a traffic spike
•Instances dynamically added/removed based on queue size
Pending
request
queue
32. How App Engine works
How Frontend instances Scale
•App Engine watches pending request queue of each instances
•Let’s see what would happen if your app gets a traffic spike
•Instances dynamically added/removed based on queue size
Pending
request
queue
Idle Instances
Pending
Latency
33. How App Engine works
Pending Latency
•Time to hold request in pending queue before creating new instances
•Less latency responds faster but costs more
34. How App Engine works
What are idle instances?
•Number of instances always available
•Higher number responds faster but costs more
35. How App Engine works
Key Takeaways
App Engine encapsulate all the cost and effort
•To build and operate a web app with Google scale and reliability
•Encourage Google’s best practices for scalability and reliability
•Significantly lower Total Cost of Ownership
Front End provides scalability and reliability by:
•Edge Caching by Google Front End
•Load Balancing by App Engine Front End
App server controls scalability by:
•Dynamic control of Frontend and Backend instances
•Managing Pending Latency and Idle Instances