Microservices-Based Edge Gateway Service

IoT has ushered in an era of post-cloud excellence. With the rising demand for remotely-accessible services, connected devices have enabled our physical world to merge with the cyber world.

However, there is one challenge that makes IoT implementation a little stressful. It’s the challenge of making real-time or near-real-time connections possible. Aceso Analytics aims to address this challenge by offering edge computing services powered by microservice-based architecture.

Challenges That Our Microservice-Based Edge Gateway Addresses

The Latency Issue

One of the significant constraints in IoT implementation is inefficient data transfer. IoT devices generate vast amounts of heterogeneous data. Sending all these data in a proper format, processing those data, and receiving instructions from the user make real-time data processing challenging.

The Resource Constraints Issue

Edge devices need to be closer to IoT devices. This means that these devices need to be smaller in size, flexible and ready to be deployed in difficult-to-access locations. As a result, edge devices can’t have the luxury of having cutting-edge technologies due to their smaller form factors and almost bare-metal architecture. This makes processing and transferring data exceedingly inefficient.

Flexibility and Scalability Issue

With the rise of hundreds of different kinds of IoT devices, it is becoming necessary to develop a boilerplate edge computing architecture that can be used in multiple domains. Edge networks that are powered by monolithic applications can never achieve this flexibility. And because of this same reason, monolithic application-based edge computing is not scalable.

Our Microservice-Based Edge Gateway Addresses the Challenges Faced by IoT Users

Microservice-based architecture has been a boon to traditional software development. It’s time to extend this architecture to the IoT world as well.

Our Edge Gateway Solves the Latency Issue

One of the many features of microservices is that they ‘distribute’ the functionalities of an edge network; a set of Virtual Machines in an edge computing system does the same thing. But the existence of too many virtualised OSes increases the resource constraints. This is where our container-based edge computing system shines. With containers, you can do away with using OSes for every process. One host OS can have multiple containers requiring zero VMs. This dramatically reduces the bottleneck as far as resource utilisation is concerned. The ultimate result is – efficient data processing and transfer, amounting to low latency.

Explore the Benefits of Distributed Edge Architecture with Minimal Resource Constraints

One of the key features of a microservice-based edge network is that you can deploy one part of the system to a device and another part to another device. This is extremely useful because edge servers and nodes don’t have consistent resources. Some edge servers (of the shame system) have more resources than others. So you can deploy resource-intensive technologies like databases to powerful edge servers and lightweight technologies like frontend to not-so-powerful edge servers. You will see a noticeable difference in system startup time and resource usage. This level of distributed deployment is possible only with a microservice-based edge gateway.

Say Goodbye to Redundant Architecture, Say Hello to Scalability

Microservices-based edge gateway has the advantage of working with loosely coupled technologies due to the complex nature of IoT software which is often excessively intertwined with the hardware. With our loosely coupled Docker containers, we build IoT software and hardware that’s scalable and flexible. Need to add newer technologies to your existing IoT device? No problem! Need to ensure that the failure of one module does not make the whole IoT system collapse? No problem! With our microservice-based IoT gateway, experience unprecedented modularity, flexibility and fault tolerance.

Our Microservice-Based Edge Gateway Addresses the Challenges Faced by IoT Users

Everyone talks about the benefits of microservices. However, managing microservices comes with a set of challenges as well.

Aceso Analytics acknowledges the challenges that come with microservices. But the reward of using a microservice-based edge gateway far outweighs the challenges. Aceso Analytics has the expertise to automate the orchestration of microservices enabling efficient management of IoT. Our monitoring services empower you to have clear visibility of the health of APIs and endpoints. With our experience in managing Docker containers for traditional application environments, we make sure that your microservice-based edge gateway remains easily explorable with stable communication protocols.