Loading...
You are here:  Home  >  Data Education  >  Big Data News, Articles, & Education  >  Big Data News  >  Current Article

HashiCorp Extends Service Mesh Capabilities With Major Update to Consul

By   /  July 2, 2018  /  No Comments

A recent press release reports, “HashiCorp, a leader in cloud infrastructure automation, announced major new functionality for HashiCorp Consul, an open source service mesh to connect, secure, and configure services in dynamic, low-trust network environments. The new capability, called Consul Connect, now enables users to efficiently secure service-to-service communications for containerized and non-containerized services in cloud or on-premises environments. First released in 2014, Consul already runs on more than 5 million machines worldwide. Modern application architectures embrace public clouds, microservices, and container schedulers like Kubernetes and HashiCorp Nomad. The previous static application architectures featured dedicated servers, long-lived IP addresses, and a clear network perimeter. The new approach brings complex service-to-service communication patterns, increased scale, dynamic IP addresses, ephemeral infrastructure, and a low-trust network environment.”

The release continues, “A service mesh provides a highly available, distributed solution to three critical problems: (1) Discovery: Services must be able to find and communicate with each other. (2) Configuration: Services must accept dynamic, runtime configuration from a central source. (3) Segmentation: Service communication must be secured through authorization and encryption. Prior to this release, Consul solved the discovery and configuration use cases with DNS for discovery and Key/Value for configuration. The Consul Connect feature now solves the segmentation use case. All three of these features work together to provide a complete service mesh solution that works on any platform.”

Read more at Globe Newswire.

Photo credit: HashiCorp

You might also like...

Data Literacy and the Colin Powell Rule: From Frontline Field Support to Back Office Operations

Read More →