Oliver Gould talks about the Linkerd project, a service mesh hosted by the Cloud Native Computing Foundation, to give operators control over the traffic between their microservices. He shares the lessons they’ve learned helping dozens of organizations get to production with Linkerd and how they’ve applied these lessons to tackle complexity with Linkerd.
Source: infoq.com
This week I set out to write a post comparing Istio and Linkerd, and I told myself: I’m going to create tables comparing features, and it’s going to be great and people will love and the world will be happier for a few seconds. I promised myself It was going to be a fair comparison without bias from any end. While the ‘comparison table’ is still here, I shifted the focus of the article: the goal is not on which is better, but which is better for you, for your applications, for your organization.
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Observability comes from the world of engineering and control theory. Control theory states that observability is itself a measure that describes “how well internal states of a system can be inferred from knowledge of external outputs”. In contrast to monitoring which is something you do, observability, is a property of a system.
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Today we announced that Solo.io is a launch partner of the Service Mesh Interface (SMI) specification in collaboration with Microsoft, Bouyant and Hashicorp with support across the cloud-native ecosystem. As part of today’s announcement, the SuperGloo project and The Service Mesh Hub are the first reference implementations of SMI available today. The Service Mesh Interface (SMI) is a specification for service meshes that run on Kubernetes and defines a common standard that can be implemented by a variety of providers.
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