I recently got my hands on the Cubo Ai Baby Monitor and I think I open that app almost as much as Instagram. Perhaps it’s an ‘I know you’re my last child, I could watch, hold and kiss you over and over again thing?’ but I’m obsessed. I mean, it’s no secret I’m a little obsessed with our Goldie girl. Then came along smart cameras with applications on your phone and you could see your child from beyond 10 meters in your home. ![]() Then came video and seeing your child was the new thing – I admit, I was a little envious of my mum friends with their fancy cams but I was also a little like ‘okay, I’ve just seen them for four hours straight already. I think that’s why I felt I originally didn’t need one because I could hear them without a monitor. You could hear but couldn’t see your child. I remember the first ones were just sound. “With the real-time device data transferred through IoT Core, our engineers can quickly understand and fix problems related to the product, which has greatly improved our customer support and work efficiency.You’d think after three kids I would have tried every baby product out there! But alas, I have not! I have never had a baby monitor before, we’ve always lived in small enough homes that I can pretty much hear them from every room so I never felt the need to invest.īut I won’t lie, I’m one of those people that as soon as you think the babies asleep and you go to do something, suddenly you think you can hear them crying (like in the shower or when you’re vacuuming or blow-drying your hair) and then you sneak into the room to peak and end up waking them yourself and have to do the ninja tuck roll out of there and hope they didn’t see you and go back to sleep! I see you nodding in agreement! Keeping W atch with Cubo Ai Baby Monitorīaby cameras have come along way in the last 4 years through my three kids. At that time, it was challenging to troubleshoot remotely because we could not get the complete information of device status,” notes Shen. “Our first-generation product is not embedded with IoT Core. This helps the team monitor its camera devices dispersed around the world, so they could swiftly identify and resolve issues when errors occur. The information is then analyzed on Cloud Logging for Cubo Ai’s engineers to clear log errors remotely. In 2020, Cubo Ai released its second-generation smart baby monitor, Cubo Ai Plus, which uses IoT Core to send device status data in real time. “Even when we were still not very familiar with Kubernetes, GKE helped us avoid errors and be able to master the system in a short time.”Īccelerating product development with real-time data ![]() “As an original Google Cloud product, Google Kubernetes Engine provides the simplest solution to managing Kubernetes clusters through automatic upgrades and clear documentation,” explains Shen. As a fully managed Kubernetes service, Google Kubernetes Engine (GKE) became an obvious choice and allowed the team to automatically upgrade to the latest version without any manual intervention. When Cubo Ai decided to adopt a single cloud structure, it used Kubernetes to deploy and manage its containerized applications. ![]() Keeping babies safe with a fully managed Kubernetes serviceĪnother important element of Cubo Ai’s cloud computing infrastructure is the container management system that runs its baby monitoring system and application. With the appropriate advice and approach, Cubo Ai was able to reduce the unit cost of the containers it deploys by 20%. When Cubo Ai wanted to cut down its operational costs in early 2021, CloudMile was also able to advise the team on how they could optimize the design of the existing cloud architecture to minimize spending. ![]() “Whenever we raise a question, we always get answers from CloudMile and the Google Cloud team almost straight away,” notes Shen. After contacting CloudMile and the Google Cloud team, Cubo Ai immediately received technical support to identify the cause of the problem and managed to clear the issue in only a few hours. The startup once had an error in the codes of its system that risked interrupting the connection of all its baby cameras. To maximize the Google Cloud tools and services available to them, Cubo Ai works with CloudMile for any help or troubleshooting required. Now, the team can choose the most suitable GPU option, while reducing operational costs by 5%. Cloud GPUs stood out because of its wide range of compute options and pay-per-use billing mechanism. Save money with our transparent approach to pricingīuilding a powerful cloud computing infrastructureīecause Cubo Ai’s smart baby monitoring system requires a large amount of AI compute power, selecting the most ideal GPU (graphics processing unit) was a priority. Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry
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