A health sector organization is developing a pet collar to collect biometric information to help millions of families promote healthy lifestyles for their animals. Each collar will push 30 kb of biometric data into a collection platform in JSON format every two seconds, which processes and analyzes the data that supplies pet owners and veterinarians with health trends through a web portal. Management has given you the task of designing the collection platform to meet the following requirements: • Provide the capability for inbound biometric data analysis in real time • Ensure extremely durable, elastic, and parallel biometric information is processed • Data mining must continue with the analytical processing outcomes How should you design the architecture?
Mountkirk Games makes online, session-based, multiplayer games for 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 them into 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 footprint
Improve uptime `" downtime is loss of players
Increase efficiency of the cloud resources we use
Reduce latency to all customers
Technical Requirements -
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity
Connect to a transactional database service to manage user profiles and game state
Store game activity in a timeseries database service for future analysis
As the system scales, ensure that data is not lost due to processing backlogs
Run hardened Linux distro
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users' mobile devices
Executive 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. Additionally, 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. Question For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?
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