Tamagotchi Uni, the primary mannequin within the Tamagotchi collection to be geared up with wi-fi connectivity, is now accessible. This new mannequin permits Tamagotchi to attach on to the web and work together with different distinctive Tamagotchi from world wide. BANDAI CO., LTD., the corporate liable for product growth and gross sales, adopted AWS IoT to comprehend the idea of worldwide interconnected Tamagotchi, enabling customers to work together with one another.

On this put up, we share how BANDAI CO., LTD. and their cloud growth companion, Phoenisys, Inc., used AWS to attach and handle hundreds of thousands of Tamagotchi gadgets. Specifically, it was essential to carry out distant updates, utilizing the Jobs characteristic of AWS IoT Gadget Administration to distribute the newest firmware throughout all Tamagotchi gadgets with out inflicting any delays for purchasers.

What are Tamagotchi Uni?

The Tamagotchi is handheld digital pets that customers can nurture. Over 91 million models have been bought worldwide since inception in 1996 and have been appreciated by individuals of all ages. The most recent mannequin in Tamagotchi collection, Tamagotchi Uni, was launched worldwide on July 15, 2023. This new mannequin permits Tamagotchi to attach on to the web and work together with different distinctive Tamagotchi from world wide. The imaginative and prescient for the product is to create a world the place Tamagotchi followers internationally can talk with one another utilizing their very own nurtured Tamagotchi.

Tamagotchi Uni evolutions

With wi-fi connectivity, Tamagotchi customers can discover the Tamaverse, a metaverse of Tamagotchi, and meet Tamagotchi nurtured by customers world wide. Moreover, Tamagotchi Uni are instantly related to the cloud, permitting customers to repeatedly obtain new occasions and gadgets for distribution. Connectivity additionally allows customers to concurrently compete and cooperate with one another. These functionalities are attainable because of AWS IoT Core, which affords dependable cloud connectivity throughout many AWS Areas.

Safe connectivity with AWS IoT and a serverless structure

To make Tamagotchi Uni IoT-enabled, BANDAI established the next three key targets:

• Implementing safe connections
• Scaling and load-balancing sources to accommodate over 1 million connections worldwide
• Optimizing operational prices

The Tamagotchi resolution has been applied on an AWS serverless structure utilizing AWS IoT.

AWS structure for Tamagotchi Uni

This part briefly describes how AWS companies are used within the structure to assist enhance the reliability and cost-effectiveness of growing, working, and managing Tamagotchi Uni.

AWS IoT Core

Tamagotchi Uni use AWS IoT Core for authentication, connection, and messaging. The Gadget Shadow characteristic is used to handle the state of every Tamagotchi Uni gadget, utilizing the delta of the shadow as a flag to retrieve distributed gadgets and content material. This ensures environment friendly communication between the gadget and AWS, facilitating seamless interplay.

AWS IoT Gadget Administration

The event group anticipated that managing the rising provide of Tamagotchi Uni gadgets would turn into difficult. Subsequently, they used AWS IoT Gadget Administration to index the intensive Tamagotchi Uni fleet and create dynamic teams primarily based on the state of every gadget, facilitating environment friendly over-the-air (OTA) updates.

FreeRTOS

The Tamagotchi Uni gadget software program that connects to AWS runs on FreeRTOS, which minimizes the quantity of sources and code required to implement device-to-cloud communication for environment friendly system growth.

AWS Lambda

Tamagotchi Uni use AWS Lambda for processing duties, delivering new bulletins, and registering property.

Amazon DynamoDB

Tamagotchi Uni use Amazon DynamoDB as a totally managed, serverless, key-value NoSQL database that runs high-performance functions at any scale.

Amazon Easy Storage Service (Amazon S3)

Tamagotchi Uni use Amazon S3 as an object storage service that gives industry-leading scalability, knowledge availability, safety, and efficiency. Every of those knowledge shops are used to handle the varied sources inside Tamagotchi Uni.

Amazon Timestream

Tamagotchi Uni use Amazon Timestream to build up historic knowledge of person’s actions like downloading gadgets and extra content material.

Challenges in firmware distribution to all gadgets

The group will use AWS IoT Jobs to replace Tamagotchi Uni with new video games and content material by way of periodic firmware updates. Whereas Jobs makes firmware updates simple and safe, the group discovered that the default most variety of job executions per hour (1,000 models per minute) would lead to an excessive amount of time required to finish updates for the entire gadgets.

The prolonged time would trigger delays and an inconsistent expertise for purchasers. Some prospects may be taught that different customers received the replace and are having fun with the brand new content material whereas their very own gadget is outdated. For purchasers desperate to get pleasure from the brand new content material as quickly as attainable, the extended anticipate the replace may end up in important stress.

Whereas it’s attainable to regulate the quota for the utmost variety of job executions that may be delivered per minute, there are limits.

Overcoming challenges with large-scale firmware updates

To attenuate wait instances, the group modified the firmware replace course of in order that the replace could be executed when the client agreed to the replace. Because the replace course of requires human intervention, it can’t be carried out on all gadgets on the identical time. Contemplating that the timing of server inquiries could range relying on the client’s taking part in surroundings and time variations, the group decided that it wouldn’t be essential to distribute the replace to all gadgets on the identical time. The brand new coverage prioritizes ordered distribution to prospects who make replace inquiries.

To technically understand the brand new coverage, the group designed job supply as a steady job, with the job goal being dynamic factor teams reasonably than particular person issues (see following determine). Dynamic factor teams are a characteristic of AWS IoT Gadget Administration that permits you to set search circumstances for issues registered in AWS IoT when creating a bunch. On this case, when issues are added to the dynamic factor group after the job is created, the job is delivered instantly to these newly added issues. This enables for sooner and extra environment friendly job supply, particularly delivering to the gadgets that meet the set circumstances.

The mechanism and ingenuity of the firmware distribution for Tamagotchi

The fleet indexing characteristic robotically searches for issues that meet the circumstances and dynamically provides them to the factor group.
On this mission, the question circumstances for the dynamic factor group had been configured into the next 4 circumstances:

1. The firmware model of shadow.reported is increased than the preliminary model
2. The firmware model of shadow.reported just isn’t the newest model to be distributed
3. The firmware model of shadow.desired is the newest model to be delivered
4. connectivity.timestamp is bigger than the required UNIX epoch milliseconds

All 4 of those circumstances had been mixed with the logical operator AND.

Looking for related gadgets

Noteworthy among the many question circumstances is using the connection timestamp (connectivity.timestamp) of the gadget as a fourth search situation. This enables the job to focus on solely these gadgets which have a confirmed connection report. The connection standing (connectivity.related:true) is also included within the question. Nonetheless, if the connection standing is used as a situation, the gadget will likely be faraway from the dynamic group when the Tamagotchi Uni restarts after an replace and the firmware picture and job data can’t be verified. Because of this the group determined to make use of the connection timestamp as a situation as an alternative of the connection standing. The UNIX epoch milliseconds within the situation is ready to 1 hour earlier than the dynamic group creation timing. This method enabled us to effectively distribute updates by including them to a dynamic group primarily based on the order of shoppers’ inquiries concerning the provision of updates.

Managing firmware variations with Gadget Shadow

The primary three talked about search circumstances use Gadget Shadow. Tamagotchi Uni use Gadget Shadow for the administration of replace flags for all property, together with updates and extra content material. By enabling gadgets to retrieve knowledge solely when there may be an replace within the shadow, it helps cut back the frequency of communication. Tamagotchi Uni additionally use Gadget Shadow to handle firmware variations and search circumstances in dynamic group queries 1-3, particularly, the shadow.desired situation in question 3. Nonetheless, this method introduced a problem. To inform updates for therefore many focused gadgets, it will require updating the shadow of every gadget individually. Consequently, updating the shadows of all gadgets took a big period of time, which impacted the distribution velocity.

As an answer, the group determined to replace the shadows in parallel. The next procedures and configurations helped to cut back the replace time considerably:

1. Creating an SQS queue to observe the progress standing of dynamic group creation after it has been executed.
2. Polling monitoring the progress standing of the dynamic group rebuild with up to date question circumstances.
3. When all goal issues turn into members of the dynamic group and the rebuild completes, retrieve the issues which have turn into members in batches of as much as 250 gadgets at a time, and difficulty a message to the SQS queue requesting a shadow replace.
4. When a message is issued to the SQS queue, a Lambda known as in parallel to replace the shadow.

This movement improved the person expertise by effectively and shortly distributing updates within the order of buyer inquiry.

Testing system efficiency

Lastly, as a part of load testing, BANDAI created numerous simulated gadgets that emulated the entry conduct of Tamagotchi Uni and had been capable of confirm the sleek operation and efficiency of the replace. The take a look at allowed the group to really feel assured that efficiency could be secure and could possibly be maintained, even underneath large-scale entry.

Conclusion

Tamagotchi Uni, the primary mannequin within the Tamagotchi collection to characteristic wi-fi connectivity, have created a world the place Tamagotchi followers can really feel related no matter gender, age, or nationality. This put up supplied an in depth view on how Tamagotchi Uni use AWS to attain safe and dependable connectivity and shortly ship new content material updates with out leaving prospects ready.

Japanese model of this weblog put up will be discovered right here.

Authors