Manage Microservices More Efficiently

Microservice-based applications come with some serious upside, but keeping track of every single service is a challenge — especially for the platform teams that can’t narrow their vision to a single microservice. If you’re operating or developing in a microservices architecture, there’s a good chance part of your days are spent wondering what your services are up to. It’s frustrating to move from service to service and have to relearn everything; how it’s configured, what telemetry you’ll have, how it manages certs and keys.

With the adoption of microservices, problems can also emerge due to the sheer number of services that exist in large systems. For a monolith, issues like security, load balancing, monitoring and rate limiting only had to be solved once, but for microservices, those issues now have to be handled separately for each service. 

The good news though? A service mesh helps address many of these challenges so engineering teams – and businesses – can deliver applications more quickly and securely.


Take Your Digital Transformation Further

There are many things to think about as companies embrace digital transformation by migrating from legacy or monolithic systems to microservices. Starting with, well, microservices. It’s easy to understand why microservice-based applications are becoming more and more common. Through microservice architectures, enterprises are seeing: 

  • Improved scalability
  • Increased development velocity
  • Easier debugging
  • Rapid alignment between development and user requirements 

As companies build or convert to more modern applications, they’re leveraging microservices to drive differentiation and market leadership. As a side effect, they realize that they are increasing complexity and decentralizing ownership and control. These new challenges require new solutions to effectively monitor, manage and control microservice-based applications at runtime.

Keep in mind that Kubernetes has become the defacto method for enterprises to orchestrate containers. Kubernetes is a superb tool when it comes to deploying, scheduling and running containerized applications through a basic approach to networking that doesn’t provide rich service-to-service communication.

That’s where service mesh comes in. A service mesh like Aspen Mesh adds observability, security and policy capabilities to Kubernetes. A service mesh helps to ensure resiliency and uptime – it provides solutions that enable engineering teams to more effectively monitor, control and secure the modern application at runtime. Companies are adopting service mesh as a way to enhance Kubernetes, as it provides a toolbox of features that address various microservices challenges that modern enterprises are facing.


Get the Most Out of Your Service Mesh

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