DOCSLIB.ORG

Deploying Your Flask Application on Google Cloud Platform (GCP)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Deploying Your Flask Application on Google Cloud Platform (GCP) Deploying your flask application on Google Cloud Platform (GCP). General information: • Google Cloud Platform is a suite of public cloud computing services offered by Google. The platform includes a range of hosted services for compute, storage and application development that run on Google hardware. • App Engine is a compute service lets customers focus on their applications, leaving most infrastructure and provisioning to Google, while still offering various choices of runtime. Step to deploying your flask application on App Engine of Google Cloud Platform (GCP). 0. You need to redeem your coupon. This can be done by following the steps in the Piazza post about GCP coupons. 1. The following link leads you to a page within GCP that allows you to add in coupons to get more balance within your GCP account as the longer you host your site; the more money it will require. Critical note: When you access the following link, you need to use a gmail account to sign up. Make sure you logout all of other accounts and login to your gmail account before clicking “ACCEPT AND CONTINUE”. https://console.cloud.google.com/education 2. The following link has a quick tutorial on how to start up a sample project to understand the basics of hosting applications on GCP using programs in Python. https://developers.google.com/codelabs/cloud-vision-app-engine#0 3. Before you start, you need to create a project on GCP. i. Go to the top left of the GCP console, select “Navigation Menu” > select “App Engine”. ii. Next, you need to create a new project. But, since you are a new user, you may receive the following message “My first project”. You just need to give it a name, in my case I used “cs331e-idb”. Note: In my case, I have already created the project. So, on my screen, next to the “Navigation Menu”, I see a drop-down menu that has my project. iii. If you want to create another project, you need to click on the drop-down menu. Then, you may see a screen as follows. Select “NEW PROJECT” iv. Type in the project name and hit create. v. To check that you project was successfully created, hit the drop-down menu (next to Navigate Menu at the top left of the console) and you’ll see your project. Note: GCP credits is rapidly consumed. To avoid running out of credit, make sure to “disable” your application after you finish experiments and after the TAs informs you that the grading is over. Here is how to disable your application: App Engine -> Settings -> Application Settings -> Disable Application 4. In order to successfully deploy your website, the folder where your files are located should also have a app.yaml (It is similar to the .gitlab-ci.yml that you need to do continuous integration on GitLab). Clone my example application from GitLab • Click on Google Cloud Shell, ->, on the top-right corner of the GCP console. • While inside the shell, clone your repo that has the application files. $ git clone https://gitlab.com/fareszf/cs331e-idb-gcp.git $ cd cs331e-idb-gcp.git 5. To test your application, type in the following command. $ gcloud app deploy You might be asked to enter a choice number that represents your time zone. It might be “14” for US central. Then you might be also asked whether you want to continue. Type in “Y” to continue. 6. If the application is successfully deployed, you will see by the end of the output a link where you can navigate to your application. e.g., Deployed service [default] to [https://cs329e-idb-212120.appspot.com] .
Load more

Recommended publications
  • Real-Time Backend Architecture Using Node.Js, Express and Google Cloud
    Anh Vu Real-time backend architecture using Node.js, Express and Google Cloud Platform Metropolia University of Applied Sciences Bachelor of Information Technology Information Technology Bachelor’s Thesis 5 January 2021 Abstract Anh Vu Author Real-time backend using NodeJS, Express and Google Cloud Title Platform NumBer of Pages 47 pages Date 5 January 2021 Degree Bachelor of Engineering Degree Programme Information Technology Professional Major MoBile Solutions Instructors Petri Vesikivi, Head of MoBile Solutions Real-time applications, which assure the latency within the defined time limit, are becoming more popular due to the growth of Software as a service trend. Before the evolution of cloud computing, the only solution was to use native WebSockets which are difficult to set up and develop. Recently, Google Cloud Platform provides a developer-friendly, fast and responsive platform to make the process of developing real-time applications seamless. The purpose of the thesis was to demonstrate and Build a scalaBle, high-available and reliaBle Backend architecture using Node.js and Google Cloud Platform. The thesis consists of a theoretical background including Node.js, monolithic and microservices architecture, serverless architecture and real-time dataBase, which provide basic understanding of different architectures and technical solutions. The advantages and disadvantages of the architecture were also clearly analyzed and evaluated. Furthermore, a minimum viable product for a taxi booking app was created to demonstrate the architecture usage in a real use case. To summarize, the thesis aimed to provide the insights of real-time Backend architecture using Node.js and Google Cloud Platform. Moreover, the benefits of using this technology stacks were carefully examined in a case study.
    [Show full text]
  • Google Cloud Issue Summary Multiple Products - 2020-08-19 All Dates/Times Relative to US/Pacific
    Google Cloud Issue Summary Multiple Products - 2020-08-19 All dates/times relative to US/Pacific Starting on August 19, 2020, from 20:55 to 03:30, multiple G Suite and Google Cloud Platform products experienced errors, unavailability, and delivery delays. Most of these issues involved creating, uploading, copying, or delivering content. The total incident duration was 6 hours and 35 minutes, though the impact period differed between products, and impact was mitigated earlier for most users and services. We understand that this issue has impacted our valued customers and users, and we apologize to those who were affected. DETAILED DESCRIPTION OF IMPACT Starting on August 19, 2020, from 20:55 to 03:30, Google Cloud services exhibited the following issues: ● Gmail: The Gmail service was unavailable for some users, and email delivery was delayed. About ​ 0.73% of Gmail users (both consumer and G Suite) active within the preceding seven days experienced 3 or more availability errors during the outage period. G Suite customers accounted for 27% of affected Gmail users. Additionally, some users experienced errors when adding attachments to messages. Impact on Gmail was mitigated by 03:30, and all messages delayed by this incident have been delivered. ● Drive: Some Google Drive users experienced errors and elevated latency. Approximately 1.5% of Drive ​ users (both consumer and G Suite) active within the preceding 24 hours experienced 3 or more errors during the outage period. ● Docs and Editors: Some Google Docs users experienced issues with image creation actions (for ​ example, uploading an image, copying a document with an image, or using a template with images).
    [Show full text]
  • Apigee X Migration Offering
    Apigee X Migration Offering Overview Today, enterprises on their digital transformation journeys are striving for “Digital Excellence” to meet new digital demands. To achieve this, they are looking to accelerate their journeys to the cloud and revamp their API strategies. Businesses are looking to build APIs that can operate anywhere to provide new and seamless cus- tomer experiences quickly and securely. In February 2021, Google announced the launch of the new version of the cloud API management platform Apigee called Apigee X. It will provide enterprises with a high performing, reliable, and global digital transformation platform that drives success with digital excellence. Apigee X inte- grates deeply with Google Cloud Platform offerings to provide improved performance, scalability, controls and AI powered automation & security that clients need to provide un-parallel customer experiences. Partnerships Fresh Gravity is an official partner of Google Cloud and has deep experience in implementing GCP products like Apigee/Hybrid, Anthos, GKE, Cloud Run, Cloud CDN, Appsheet, BigQuery, Cloud Armor and others. Apigee X Value Proposition Apigee X provides several benefits to clients for them to consider migrating from their existing Apigee Edge platform, whether on-premise or on the cloud, to better manage their APIs. Enhanced customer experience through global reach, better performance, scalability and predictability • Global reach for multi-region setup, distributed caching, scaling, and peak traffic support • Managed autoscaling for runtime instance ingress as well as environments independently based on API traffic • AI-powered automation and ML capabilities help to autonomously identify anomalies, predict traffic for peak seasons, and ensure APIs adhere to compliance requirements.
    [Show full text]
  • Google Cloud Identity Services
    INTRODUCING Google Cloud Identity Services One account. All of Google Enter your email Next Enterprise identity made easy A robust and secure identity model is the foundation for enterprise success. Google Cloud’s identity services bring user lifecycle management, directory services, account security, single sign-on, mobile device management and more in a simple integrated solution. Introduction Millions of businesses and schools rely on Google Cloud’s identity services every day when they sign in to products like Google Drive and Google Cloud Platform (GCP). They offer core identity services that make it simple, secure and reliable for users to log in and for administrators to manage usage across the organization. These core features fall into six main areas, where we focus. • User Lifecyle Management • Single sign-on (SSO) • Directory • Reporting & Analytics • Account Security • Endpoint Management User Lifecyle Management Endpoint Directory Management Google Identity Account Security Reporting & Analytics SSO “Google provides business-critical solutions like serving as the central secure access point for cloud apps, while also providing infrastructure for these services like the identity directory.” -Justin Slaten, Manager, Enterprise Technology & Client Systems at Netflix User Lifecycle Management Directory Users are the core of any identity platform, and Google Cloud identity services make it easy the ability to manage access when they join, move to manage users and groups. Everything from within, or leave an organization is important to setting permissions to resetting passwords is administrators. Google Cloud identity services in one location so administrators can quickly make user lifecycle management easy with complete common tasks. Individual Google the unified Google Admin console and APIs.
    [Show full text]
  • Data Warehouse Offload to Google Bigquery
    DATA WAREHOUSE OFFLOAD TO GOOGLE BIGQUERY In a world where big data presents both a major opportunity and a considerable challenge, a rigid, highly governed traditional enterprise data warehouse isn’t KEY BENEFITS OF MOVING always the best choice for processing large workloads, or for applications like TO GOOGLE BIGQUERY analytics. Google BigQuery is a lightning-fast cloud-based analytics database that lets you keep up with the growing data volumes you need to derive meaningful • Reduces costs and business value, while controlling costs and optimizing performance. shifts your investment from CAPEX to OPEX Pythian’s Data Warehouse Offload to Google BigQuery service moves your workload from an existing legacy data warehouse to a Google BigQuery data • Scales easily and on demand warehouse using our proven methodology and Google experts–starting with a fixed-cost Proof of Concept stage that will quickly demonstrate success. • Enables self-service analytics and advanced analytics GETTING STARTED The Pythian Data Warehouse Offload to Google BigQuery service follows a proven methodology and delivers a Proof of Concept (POC) that demonstrates viability and value within three to four weeks. The POC phase will follow this workflow: 1. Assess existing data warehouse environment to identify tables and up to two reports that will be offloaded in this phase 2. Provision GCP infrastructure including Cloud storage, Bastion hosts, BigQuery, and Networking 3. Implement full repeatable extract/load process for selected tables 4. Implement selected reports on BigQuery 5. Produce report PYTHIAN DELIVERS By the end of the first stage of our engagement, you can expect to have: • Working prototype on BigQuery • Up to two reports • Demonstrated analysis capabilities using one fact with five associated dimensions www.pythian.com • Report that includes: an assessment of your current setup and support you need to plan and maintain your full (including a cost analysis for BigQuery), performance/ Google BigQuery data warehouse and enterprise analytics usability analysis of POC vs.
    [Show full text]
  • Trusting Your Data with Google Cloud Platform
    Trusting your data with Google Cloud Platform At Google Cloud we’ve set a high bar for what it means to host, serve, and protect customer data. Security and data protection are fundamental to how we design and build our products. We start from the fundamental premise that Google Cloud Platform (GCP) customers own their data and control how it is used. The data a customer stores and manages on GCP systems is only used to provide that customer with GCP services and to make GCP services work better for them, and for no other purpose. Not advertising, not for anything else. Period. We have robust internal controls and auditing to protect against insider access to customer data. This includes providing our customers with near real-time logs of Google administrator access on GCP; GCP is the only major cloud to provide this level of access transparency. In addition to continuous security monitoring, all customer data stored in GCP is encrypted at rest and in transit by default. Customers can also choose to manage their own encryption keys using GCP’s Cloud Key Management Service, a feature commonly referred to as “customer-managed encryption keys (CMEK).” We also enable our customers to monitor their own account activity. We provide reports and logs that make it easy for a customer’s administrator to examine potential security risks, track access, analyze administrator activity, and much more. Administrators in your organization can also leverage Cloud Data Loss Prevention (DLP) capabilities to protect sensitive information. DLP adds a layer of protection to identify, redact, and prevent sensitive or private information from leaking outside of an organization.
    [Show full text]
  • Getting Started with Google Cloud Platform
    Harvard AP275 Computational Design of Materials Spring 2018 Boris Kozinsky Getting started with Google Cloud Platform A virtual machine image containing Python3 and compiled LAMMPS and Quantum Espresso codes are available for our course on the Google Cloud Platform (GCP). Below are instructions on how to get access and start using these resources. Request a coupon code: Google has generously granted a number of free credits for using GCP Compute Engines. Here is the URL you will need to access in order to request a Google Cloud Platform coupon. You will be asked to provide your school email address and name. An email will be sent to you to confirm these details before a coupon code is sent to you. Student Coupon Retrieval Link • You will be asked for a name and email address, which needs to match the domain (@harvard.edu or @mit.edu). A confirmation email will be sent to you with a coupon code. • You can only request ONE code per unique email address. If you run out of computational resources, Google will grant more coupons! If you don’t have a Gmail account, please get one. Harvard is a subscriber to G Suite, so access should work with your @g.harvard.edu email and these were added already to the GCP project. If you prefer to use your personal Gmail login, send it to me. Once you have your google account, you can log in and go to the website below to redeem the coupon. This will allow you to set up your GCP billing account.
    [Show full text]
  • Digital Media Asset Management and Sharing
    Digital Media Asset Management and Sharing Introduction Digital media is one of the fastest growing areas on the internet. According to a market study by Informa Telecoms & Media conducted in 2012, the global 1. online video market only, will reach $37 billion in 2017¹. Other common media OTT Video Revenue Forecasts, types include images, music, and digital documents. One driving force for this 2011-2017, by Informa Telecoms phenomena growth is the popularity of feature rich mobile devices2, equipped & Media, with higher resolution cameras, bigger screens, and faster data connections. November 2012. This has led to a massive increase in media content production and con- sumption. Another driving force is the trend among many social networks to 2. incorporate media sharing as a core feature in their systems². Meanwhile, Key trends and Takeaways in Digital numerous startup companies are trying to build their own niche areas in Media Market, this market. by Abhay Paliwal, March 2012. This paper will use an example scenario to provide a technical deep-dive on how to use Google Cloud Platform to build a digital media asset management and sharing system. Example Scenario - Photofeed Photofeed, a fictitious start-up company, is interested in building a photo sharing application that allows users to upload and share photos with each other. This application also includes a social aspect and allows people to post comments about photos. Photofeed’s product team believes that in order for them to be competitive in this space, users must be able to upload, view, and edit photos quickly, securely and with great user experiences.
    [Show full text]
  • What's New for Google in 2020?
    Kevin A. McGrail [email protected] What’s new for Google in 2020? Introduction Kevin A. McGrail Director, Business Growth @ InfraShield.com Google G Suite TC, GDE & Ambassador https://www.linkedin.com/in/kmcgrail About the Speaker Kevin A. McGrail Director, Business Growth @ InfraShield.com Member of the Apache Software Foundation Release Manager for Apache SpamAssassin Google G Suite TC, GDE & Ambassador. https://www.linkedin.com/in/kmcgrail 1Q 2020 STORY TIME: Google Overlords, Pixelbook’s Secret Titan Key, & Googlesplain’ing CES Jan 2020 - No new new hardware was announced at CES! - Google Assistant & AI Hey Google, Read this Page Hey Google, turn on the lights at 6AM Hey Google, Leave a Note... CES Jan 2020 (continued) Google Assistant & AI Speed Dial Interpreter Mode (Transcript Mode) Hey Google, that wasn't for you Live Transcripts Hangouts Meet w/Captions Recorder App w/Transcriptions Live Transcribe Coming Next...: https://mashable.com/article/google-translate-transcription-audio/ EXPERT TIP: What is Clipping? And Whispering! Streaming Games - Google Stadia Android Tablets No more Android Tablets? AI AI AI AI AI Looker acquisition for 2.6B https://www.cloudbakers.com/blog/why-cloudbakers-loves-looker-for-business-intelligence-bi From Thomas Kurian, head of Google Cloud: “focusing on digital transformation solutions for retail, healthcare, financial services, media and entertainment, and industrial and manufacturing verticals. He highlighted Google's strengths in AI for each vertical, such as behavioral analytics for retail,
    [Show full text]
  • Delivering Cloud Analytics Solutions That Rock Your Data! About Us
    Delivering cloud analytics solutions that rock your data! About Us Rock Your Data is a consulting and technology firm with focus on secure and scalable cloud analytic solutions using top-tier cloud vendors. Innovation Our mission is to provide high-quality analytic solutions for Canadian companies and help them drive business with Passion for Analytics informed decisions by leveraging powerful and modern cloud capabilities. Fast Time to Value All consultants are passionate about analytics and built solutions across the globe accumulating 10+ years of BI/DW/ETL experience. Customer Obsession Vancouver, BC What we do? We help organizations to make distinctive, lasting, and substantial improvements in their performance via data and technology. Sharing knowledge Institute for Applied Data Science Cloud Providers At Rock Your Data we put customer requirements first. As a result, we are designing cloud analytics solution using: ● Amazon Web Services ● Azure Cloud ● Google Cloud Platform Certified Partnership Matillion ETL is powerful cloud ELT platform that can handle any size project and dramatically increase speed of development. Tableau is a Self-Service BI platform and leader in Data Visualization and Exploration. Snowflake is a new generation Data Warehouse Platform and it is true Data Warehouse as a Service (DaaS). Looker is a native Cloud Enterprise BI platform. Our Services Business Cloud Data Cloud Data Intelligence and Warehouse Advanced analytics Integration Analytics Data Warehouse Big Data Solution Training and Migration Adoption End-to-End
    [Show full text]
  • The Evolution of Cloud Computing
    Read the complete book: www.bcs.org/books/cloud Read the complete book: www.bcs.org/books/cloud THE EVOLUTION OF CLOUD COMPUTING Read the complete book: www.bcs.org/books/cloud BCS, THE CHARTERED INSTITUTE FOR IT BCS, The Chartered Institute for IT, is committed to making IT good for society. We use the power of our network to bring about positive, tangible change. We champion the global IT profession and the interests of individuals engaged in that profession, for the benefit of all. Exchanging IT expertise and knowledge The Institute fosters links between experts from industry, academia and business to promote new thinking, education and knowledge sharing. Supporting practitioners Through continuing professional development and a series of respected IT qualifica- tions, the Institute seeks to promote professional practice tuned to the demands of business. It provides practical support and information services to its members and volunteer communities around the world. Setting standards and frameworks The Institute collaborates with government, industry and relevant bodies to establish good working practices, codes of conduct, skills frameworks and common standards. It also offers a range of consultancy services to employers to help them adopt best practice. Become a member Over 70,000 people including students, teachers, professionals and practitioners enjoy the benefits of BCS membership. These include access to an international community, invitations to a roster of local and national events, career development tools and a quar- terly thought-leadership magazine. Visit www.bcs.org/membership to find out more. Further Information BCS, The Chartered Institute for IT, First Floor, Block D, North Star House, North Star Avenue, Swindon, SN2 1FA, United Kingdom.
    [Show full text]
  • Create a Created Date Schema in Bigquery
    Create A Created Date Schema In Bigquery Denominative Elmore canoodles funereally. Auxiliary Rudy acquiesce: he unbar his aril adequately and contagiously. Overreaching Randolf excused some scrabble and shacks his syneresis so midnight! Wait polls with exponential backoff. The schema in tests are many cases. Perform various levels of dates in schema definition file somewhere on create date column when you created in an identical data will lead at. You'd may that avoiding two scans of SALES would improve performance However remember most circumstances the draw BY version takes about twice as suite as the lot BY version. You run some SQL queries against that data. The script then creates a partition function, if configured. The order in which clustering is done matters. Developer relations lead at SKB Kontur. We create schema in the dates and their very wide variety of bigquery operation creates a working directory as a few seconds of model you. By using the client libraries. Database services to migrate, please leave it empty. What are partitions in SQL? In our case the join condition is matching dates from the pedestrian table and the bike table. The mother source records need is have a machine image updates to merge correctly. Python community version selection works in schema of bigquery operation on create date column can be created in a new custom schema tab. Once per store the data needs to simplify etl to any data are also a bigquery? Google Analytics 360 users that have that up the automatic BigQuery export will rejoice by this. Whether to automatically infer options and schema for CSV and JSON sources.
    [Show full text]