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As the Internet of Things (IoT) continues to expand, managing a large number of heterogeneous devices with diverse requirements and characteristics has become essential. The Cloud computing ecosystem has provided a vast amount of tools to efficiently manage workload deployments. However, there is a huge gap between the requirements of Cloud infrastructure as opposed to Edge or IoT infrastructure. One crucial difference is the diversity and resource constraints of IoT devices. As billions of devices become part of our environment, the need for secure, robust device management and seamless integration into higher-level orchestration frameworks becomes increasingly critical.

Have you ever found yourselves scratching your heads over perplexing connectivity issues? If you’re anything like us, you’ve probably encountered your fair share of head-scratching moments. In this short post, we would like to share one such experience we recently tackled while trying to connect our ESP32 devices to our office Wi-Fi Access Point (AP).

As per a well-known and established definition:

“Continuous Integration (CI) is the practice of merging all developers’ working copies to a shared mainline several times a day.”

Testing is an important part of software development, yet is often neglected in many projects. We felt our code base for vAccel had reached a stage where the foundations for a proper testing framework would be a good decision.

The Serverless computing paradigm has revolutionized the way applications are deployed. In a serverless architecture, developers can focus solely on writing code without the need to provision or manage servers.

Serverless computing is a revolutionary approach to cloud computing that allows developers to focus solely on writing and deploying code without having to manage server infrastructure.In a traditional server-based model, developers need to consider and manage the servers that will run their applications.However, with serverless computing, developers can deploy their code as self-contained functions or services that are automatically run and scaled.This enables them to build and deploy applications quickly, without worrying about the underlying infrastructure.Several frameworks have emerged to facilitate serverless computing, including AWS Lambda, Google Cloud Functions, and Microsoft Azure Functions. One notable framework is Knative, which builds upon the concepts of serverless computing and provides additional features and functionalities.In the following blog, we will delve deeper into Knative.