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Bambang Ardiansyah
Member since 2019
Silver League
8000 points
Develop Serverless Applications on Cloud Run
Earned ינו 27, 2022 EST
Implementing Cloud Load Balancing for Compute Engine
Earned ינו 26, 2022 EST
Build a Secure Google Cloud Network
Earned ינו 26, 2022 EST
Cloud Architecture: Design, Implement, and Manage
Earned ינו 26, 2022 EST
DEPRECATED Google Cloud's Operations Suite
Earned ינו 26, 2022 EST
Optimize Your Google Cloud Costs
Earned ינו 26, 2022 EST
Build Apps & Websites with Firebase
Earned ינו 26, 2022 EST
הבנת העלויות ב-Google Cloud
Earned ינו 25, 2022 EST
Using the Cloud SDK Command Line
Earned ינו 25, 2022 EST
[Deprecated] Cloud Logging
Earned ינו 24, 2022 EST
Google Cloud Essentials
Earned ינו 24, 2022 EST
DEPRECATED Network Performance and Optimization
Earned ינו 24, 2022 EST
Cloud SQL
Earned ינו 24, 2022 EST
Cloud Architecture - Design, Implement, and Manage
Earned ינו 24, 2022 EST
Implement Cloud Security Fundamentals on Google Cloud
Earned ינו 23, 2022 EST
Machine Learning APIs
Earned מרץ 26, 2019 EDT
DEPRECATED Windows on Google Cloud
Earned מרץ 26, 2019 EDT
Security & Identity Fundamentals
Earned מרץ 22, 2019 EDT
DEPRECATED Application Development - Java
Earned מרץ 22, 2019 EDT
DEPRECATED Application Development - Python
Earned מרץ 22, 2019 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned מרץ 22, 2019 EDT
Baseline: Deploy & Develop
Earned מרץ 21, 2019 EDT
Deprecated Kubernetes Solutions
Earned מרץ 21, 2019 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned מרץ 13, 2019 EDT
Managing Cloud Infrastructure with Terraform
Earned מרץ 4, 2019 EST
Kubernetes in Google Cloud
Earned מרץ 4, 2019 EST
DEPRECATED Cloud Architecture
Earned מרץ 2, 2019 EST
Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
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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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Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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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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For everyone using Google Cloud Platform for the first time, getting familar with gcloud, Google Cloud's command line, will help you get up to speed faster. In this quest, you'll learn how to install and configure Cloud SDK, then use gcloud to perform some basic operations like creating VMs, networks, using BigQuery, and using gsutil to perform operations.
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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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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.
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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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This quest of "Challenge Labs" gives the student preparing for the Google Cloud Certified Professional Cloud Architect certification hands-on practice with common business/technology solutions using Google Cloud architectures. Challenge Labs do not provide the "cookbook" steps, but require solutions to be built with minimal guidance, across many Google Cloud technologies. All labs have activity tracking, and in order to earn this badge you must score 100% in each lab. This quest is not easy and will put your Google Cloud technology skills to the test! Be aware that while practice with these labs will increase your knowledge and abilities, additional study, experience, and background in cloud architecture is recommended to prepare for this certification. Complete this quest to receive an exclusive Google Cloud digital badge.
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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.
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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Google Cloud is committed to supporting Windows workloads in its frameworks and services. In this advanced-level quest, you will get hands-on practice running many of the popular Windows services on Google Cloud. For example, you will learn how to instantiate Microsoft SQL databases, cloud tools for Powershell on Google Cloud Platform frameworks.
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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 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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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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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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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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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
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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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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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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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