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Fred Teo

Member since 2019

Silver League

2300 points
DEPRECATED Application Development - Java Earned מאי 2, 2020 EDT
Cloud SQL Earned מאי 2, 2020 EDT
Google Cloud Solutions I: Scaling Your Infrastructure Earned מאי 2, 2020 EDT
[Deprecated] Cloud Logging Earned מאי 2, 2020 EDT
Cloud Development Earned מאי 2, 2020 EDT
DevOps Essentials Earned מאי 2, 2020 EDT
Optimize Your Google Cloud Costs Earned מאי 2, 2020 EDT
הבנת העלויות ב-Google Cloud Earned מאי 2, 2020 EDT
VM Migration Earned מאי 2, 2020 EDT
Security & Identity Fundamentals Earned מאי 1, 2020 EDT
Baseline: Deploy & Develop Earned מאי 1, 2020 EDT
Google Kubernetes Engine Best Practices Earned מאי 1, 2020 EDT
DEPRECATED Application Development - Python Earned אפר 30, 2020 EDT
Kubernetes in Google Cloud Earned אפר 28, 2020 EDT
DEPRECATED Cloud Architecture Earned אפר 23, 2020 EDT
[DEPRECATED] Deploying Applications Earned מרץ 10, 2019 EST
Baseline: Data, ML, AI Earned מרץ 2, 2019 EST

In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Java. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Java applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Java applications straight away.

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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.

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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.

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Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.

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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.

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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!

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ביצוע אופטימיזציה לעלויות של Google Cloud תיאור: זו המשימה השנייה מתוך שתיים בנושא יסודות החיוב וניהול העלויות ב-Google Cloud. המשימה הזו מתאימה במיוחד לבעלי תפקידים הקשורים ל-IT או לפיננסים, שאחראים לביצוע האופטימיזציה של תשתית הענן בארגון. במהלך המשימה תלמדו כמה דרכים לשליטה ולביצוע אופטימיזציה בעלויות של Google Cloud, ביניהן הגדרת תקציבים והתראות, ניהול של מגבלות מכסה וניצול של הנחות תמורת התחייבות לשימוש. בשיעורים המעשיים תתנסו בכל מיני כלים שיעזרו לכם לשלוט בעלויות ב-Google Cloud, לבצע אופטימיזציה שלהן או לעודד את צוותי הטכנולוגיה להחיל את השיטות המומלצות לאופטימיזציה של העלויות. מטרות: להסביר על הדרישות המקדימות בתחום התפעול לצורך אופטימיזציה של העלויות בענן. להבדיל בין תקציבים למכסות. להגדיר תקציבים והתראות לסף החזוי ולסף בפועל לקבלת תשלום. להגדיר אמצעי בקרה על עלויות באמצעות מכסה. לנתח את ההנחות תמורת התחייבות לשימוש. להשתמש בשיטות מתקדמות לשליטה בעלויות ולאופטימיזציה שלהן. קהל: כל מי שמנהל את ההוצאות ב-Google Cloud בכל תפקיד בחברה. התפקידים שנכללים: פיננסים ו-IT, מנהלי רכש, מנ…

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המשימה הזו מתאימה במיוחד לבעלי תפקידים בתחומי הטכנולוגיה או הפיננסים, שאחראים לניהול של העלויות ב-Google Cloud. תלמדו איך להגדיר חשבון חיוב, איך לארגן משאבים ואיך לנהל הרשאות גישה לחיוב. בשיעורים המעשיים האלה תלמדו איך להציג את החשבונית, לנתח את נתוני החיוב באמצעות BigQuery או Google Sheets וליצור מרכזי בקרה לחיוב בהתאמה אישית באמצעות Data Studio.

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Google Cloud’s four step structured Cloud Migration Path Methodology provides a defined and repeatable path for users to follow when migrating and modernizing Virtual Machines. In this quest, you will get hands-on practice with Google’s current solution set for VM assessment, planning, migration, and modernization. You will start by analyzing your lab environment and building assessment reports with CloudPhysics and StratoZone, then build a landing zone within Google Cloud leveraging Terraform’s infrastructure-as-code templates, next you will manually transform a two-tier application into a cloud-native workload running on Kubernetes, and finally, transform a VM workload into Kubernetes with Migrate for Anthos and migrate a VM between cloud environments.

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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections.

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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.

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Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.

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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.

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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.

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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like BigQuery, Cloud Speech API and Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.

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