Analyse how Kafka for building management helped Kugu migrate its legacy resources to AWS

Before switching to AWS with security, Kugu’s team spent too much time managing legacy resources. 

When we met Kugu, the team wanted to make progress towards a global, carbon-free real estate sector. For the last two months, they had interviewed users and grasped, at a high level, what they wanted to build for the next iteration of their product. They wanted to expand beyond Germany to Poland, Austria, and France, and as they did so, map their data in real-time. 

But Kugu’s team faced a significant challenge: managing their legacy and on-premises resources consumed substantial time and effort. To focus on Kugu’s expansion, the team needed to automate and migrate its resources to a more scalable platform. 

Switching to AWS (Amazon Web Services) would allow Kugu to leverage scalable and flexible cloud infrastructure, helping their team store and process large amounts of energy data. Also, AWS had advanced analytics tools and machine learning capabilities that Kugu could use to gain insights from its energy data. 

Task: We needed to migrate Kugu’s resources to AWS with security 

At this point, Kugu’s primary goal was to automate the migration of its existing legacy and on-premises resources to AWS while ensuring the system remained secure. To accomplish the automation in Kafka, Kugu embarked on a comprehensive project with OSO to modernise its infrastructure and streamline its operations.

Actions: We successfully completed automation in Kafka and created microservices to speed up Kugu’s service 

After we evaluated Kugu’s technology requirements, we worked with the team to support their developers and automate as much of the process as possible. 

1. First, to automate the migration process and ensure security, we implemented an automated deployment pipeline integrated with comprehensive testing mechanisms. This allowed us to seamlessly migrate and validate resources, reducing manual effort and minimising the risk of errors.
2. Then we helped Kugu automate its infrastructure-as-code pipeline, enabling the provisioning and management of resources using code, resulting in faster and more consistent deployments. This saved us time and kept Kugu’s project cost-effective since we didn’t need to create resources manually in AWS.
3. As an add-on, we developed multiple microservices to enhance Kugu’s system flexibility and modularity. These were designed to handle specific functionalities, making the system more scalable and efficient. By leveraging AWS services such as AWS Lambda and Amazon Elastic Container Service (ECS), Kugu could effectively manage and scale its microservices, ensuring smooth performance.
4. Finally, to close out the project, we conducted load testing to validate the system’s capability to handle high volumes of data. Through simulating real-world scenarios and stressing the system, we identified potential bottlenecks and optimised Kugu’s applications accordingly. This helped us fine-tune their system for optimal performance, scalability, and reliability.

Before switching to AWS with security, Kugu’s team spent too much time managing legacy resources. 

When we met Kugu, the team wanted to make progress towards a global, carbon-free real estate sector. For the last two months, they had interviewed users and grasped, at a high level, what they wanted to build for the next iteration of their product. They wanted to expand beyond Germany to Poland, Austria, and France, and as they did so, map their data in real-time. 

But Kugu’s team faced a significant challenge: managing their legacy and on-premises resources consumed substantial time and effort. To focus on Kugu’s expansion, the team needed to automate and migrate its resources to a more scalable platform. 

Switching to AWS (Amazon Web Services) would allow Kugu to leverage scalable and flexible cloud infrastructure, helping their team store and process large amounts of energy data. Also, AWS had advanced analytics tools and machine learning capabilities that Kugu could use to gain insights from its energy data. 

Task: We needed to migrate Kugu’s resources to AWS with security 

At this point, Kugu’s primary goal was to automate the migration of its existing legacy and on-premises resources to AWS while ensuring the system remained secure. To accomplish the automation in Kafka, Kugu embarked on a comprehensive project with OSO to modernise its infrastructure and streamline its operations. 

Recap: The Kafka services Kugu chose to use for automation in real estate 

Result: Kugu’s updated AWS with security platform handles 3 million IoT devices and processes 100,000,000 messages daily 

Together, the work OSO and Kugu did led to the successful automation of legacy resource migration, significantly reducing the team’s manual effort and streamlining operations. Now, Kugu’s platform boasts the capability to handle more than 3 million connected IoT devices and process over 100,000,000 messages daily. 

After automation in Kafka, Kugu’s new platform is flexible, scalable, and secure 

Migrating to the new platform also opened up avenues for Kugu’s team to be more efficient and effective in their daily work. The team had: 

• More time for strategic thinking: Automating resource migration freed up valuable time and resources previously allocated to manual management, enabling Kugu’s team to focus on strategic initiatives and expedite their digital transformation.
• Increased agility: Adopting microservices architecture empowered Kugu with flexibility and scalability. The modular approach allowed for easy integration of new features and facilitated agility in response to evolving market demands, reinforcing the company’s competitive edge.
• Reinforced systems: Embracing AWS’s robust security measures fortified Kugu’s system integrity. The comprehensive security features provided by AWS, combined with Kafka for real estate, ensured encryption, access controls, and continuous monitoring to safeguard sensitive data. The migration to the cloud also improved Kugu’s ability to manage data, access information, and recover from unexpected disasters. 

Thanks to AWS with security, Kugu plans to expand product features and add international locations 

With the certainty that they can scale securely, Kugu’s team now intends to expand its product features based on the conversations they’ve had with their users. The team has already started to map out the features they want to add for each of their customer personas, from introducing historical data for building planners to improving how property managers can exchange data with their tenants.

In the next two years, the new platform will also allow Kugu to scale and expand to international locations. Kugu’s team is looking forward to launching pilots in Poland, Austria, and France, as well as expanding two of their most valuable products, submetering and central heating. 

After leveraging Kafka for real estate, Kugu is one step closer to reaching carbon neutrality in Europe

Kugu’s successful migration not only provided additional security but also transformed its operations. By automating its legacy resource migration to AWS and embracing advanced technologies, the team achieved scalability, maximised efficiency, and enhanced data management. Plus, Kugu’s commitment to a greener future aligns with its mission of contributing to a carbon-neutral real estate sector in Europe. 

Congratulations, Kugu!