Running microservices in their own containers made it even easier and more practical to add, upgrade, and scale specific features and functionality without having to release new versions of the entire cloud application with every change. Soon, it became clear that another, higher-level abstraction of services was necessary to manage inter-service traffic and to provide better security and observability. Service mesh to the rescue!
by Sarabjeet Chugh
In a perfect world, every workload that you needed to deploy today would be designed from the ground up to be cloud native. It would run inside containers and play nicely with Kubernetes by default.
by Prasenjit Sarker
Whether you’re an IT engineer, SRE or DevOps specialist, Calisti is a great way to simplify your cloud native computing experience, while also enhancing the security and observability of your microservices.
by Prasenjit Sarker
Today, application developers and DevOps teams face an analogous challenge. As businesses step up their adoption of cloud-native architectures to meet the demand for digital transformation, the tools developers use to manage this complex work are themselves overwhelmingly complex. Like so much else Cisco is doing these days — the underlying ethos of Calisti has to do with streamlining and simplicity.
by Prasenjit Sarker
Multi-cluster service meshes have emerged as an architecture pattern to enable high availability, fault isolation, and failover for distributed applications. In this blog, we will explore a dynamic, or event-driven, method for replicating workloads across a multi-cluster service mesh.
by Cody Kai Hartsook
Service meshes are both operationally and resource heavy so for service meshes to be adopted on edge sites it is necessary to make them lighter weight. How can a service mesh be extended to edge sites while still being lean on resource consumption and operational requirements?
by John Joyce
Support up to 10 nodes, 2 clusters
Dashboard for observability and control
mTLS for Service to Service communications
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