The article “Decoding the Dynamics: Dapr vs. Service Meshes” delves into the differences between Dapr and Service Meshes, two common elements in Cloud native architectures. It aims to clarify their purposes, their handling of mTLS, and their impact on application code.
Decoding the Dynamics: Dapr vs. Service Meshes
In the realm of cloud-native architectures, Dapr and Service Meshes are becoming increasingly common. However, confusion often arises due to their overlapping features, leading to questions about their purpose and whether they should be used concurrently.
Understanding Dapr and Service Meshes
Understanding the differences between Dapr and Service Meshes, especially in their handling of mTLS and their impact on application code, is crucial for making an informed decision.
What’s New?
While there is a summary on the Dapr website about how Dapr and Service Meshes differ, it lacks depth in its explanations. This blog post aims to delve deeper into these differences, providing a more comprehensive understanding.
Major Updates
One of the major updates is the way Dapr and Service Meshes handle mTLS. This is a crucial aspect that significantly impacts the application code itself.
What’s Important to Know
Understanding the purpose and differences between Dapr and Service Meshes is vital for anyone involved in cloud-native architectures. It’s not just about knowing what they are, but also understanding how they can be used effectively.
“Dapr and Service Meshes are more and more usual suspects in Cloud native architectures. However, I noticed that there is still some confusion about their purpose, especially because of some overlapping features.”
“The purpose of this post is to highlight the differences, especially on the way they handle mTLS, as well as the impact on the application code itself.”
By understanding these dynamics, you can make more informed decisions about your cloud-native architecture and leverage these tools to their fullest potential.
From the Azure Developer Community Blog
