Mountkirk Games makes online, session-based, multiplayer games for the most popular mobile platforms.
They build all of their games using some server-side integration.
Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads theminto a centralized MySQL database for reporting.
Solution Concept - Mountkirk Games is building a new game, which they expect to be very popular.
They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements -Increase to a global footprintImprove uptime " downtime is loss of playersIncrease efficiency of the clous resources we useReduce lateny to all customers Technical Requirements - Requirements for Game Backend Platform 1
Dynamically scale up or down based on game activity 2
Connect to a managed NoSQL database service 3
Run customize Linux distro Requirements for Game Analytics Platform 1
Dynamically scale up or down based on game activity 2
Process incoming data on the fly directly from the game servers 3
Process data that arrives late because of slow mobile networks 4
Allow SQL queries to access at least 10 TB of historical data 5
Process files that are regularly uploaded by users' mobile devices 6
Use only fully managed services CEO Statement - Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation.
Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
CTO Statement - Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement - Which combination of Google technologies will meet all of their requirements?
Click on the arrows to vote for the correct answer
A. B. C. D. E.B.
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network.
Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation.
Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform 1
Dynamically scale up or down based on game activity 2
Process incoming data on the fly directly from the game servers 3
Process data that arrives late because of slow mobile networks 4
Allow SQL queries to access at least 10 TB of historical data 5
Process files that are regularly uploaded by users' mobile devices 6
Use only fully managed services Reference: https://cloud.google.com/solutions/big-data/stream-analytics/
The requirements of Mountkirk Games include a dynamically scalable backend for their game platform and an analytics platform that can process incoming data in real-time, handle historical data, and process files uploaded by users. They also require low latency and high uptime to improve user experience and global footprint.
Based on these requirements, the best solution would be to use a combination of Google Cloud technologies, specifically Kubernetes Engine, Cloud Pub/Sub, and Cloud SQL.
Kubernetes Engine provides a managed container orchestration platform that allows for dynamic scaling up or down based on game activity. It also enables easy management of the game's backend platform and integrates with other Google Cloud technologies.
Cloud Pub/Sub is a messaging service that allows for real-time processing of incoming data from the game servers. It can handle slow mobile networks and can be used to process files uploaded by users' mobile devices. This will help with the requirements for the game analytics platform.
Cloud SQL is a managed database service that provides high availability, autoscaling, and low latency load balancing, which will allow for better efficiency of the cloud resources used. It also provides SQL queries to access at least 10 TB of historical data, meeting the requirements for the game analytics platform.
Therefore, the correct answer is A. Kubernetes Engine, Cloud Pub/Sub, and Cloud SQL.
Option B, Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery, also provides real-time processing of incoming data from the game servers and handles historical data using BigQuery. However, it does not meet the requirement of dynamically scaling up or down based on game activity and requires additional management of resources.
Option C, Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow, provides a managed database service and handles real-time processing of incoming data and files, but does not provide dynamic scaling based on game activity.
Option D, Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow, provides real-time processing of incoming data and handles historical data, but does not meet the requirement of dynamically scaling up or down based on game activity.
Option E, Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc, provides real-time processing of incoming data and handles files, but does not provide a managed database service and dynamically scalable backend platform.