Cortex Gives Global Enterprises Autodiscovery for Cloud Infrastructure
New Cortex Resource Catalog accelerates innovation through collaboration, expanding on microservices discovery and scoring strengths
Cortex announced new innovations designed to give engineering teams the same levels of visibility into and control over cloud infrastructure that the platform has, since its inception, over microservices. The company’s industry-leading System of Record for Engineering, which has given engineers and SREs comprehensive microservices visibility and control, now provides a Resource Catalog that extends to the entire cloud environment, including S3 buckets, databases, caches, load balancers and data pipelines.
Latest Aithority Insights: Detecting, Addressing and Debunking the Hidden AI Biases
“We’ve now extended the platform to say, ‘Here’s all the infrastructure we have, here’s who owns it, here’s what they do, and here’s how they tie to the services,’” said Ganesh Datta, co-founder and CTO of Cortex. “We found that many customer infrastructure teams were already using the platform for tracking infrastructure migrations for microservices with Cortex scorecards, and that they wanted to expand that to include all of their assets. The platform now provides a central repository for all of that information.”
Cortex Resource Catalog
The new Cortex Resource Catalog enables customers to define their own resources in addition to those predefined by the platform. For example, customers wanting to represent a certain path within an S3 bucket as a first-class resource owned by a certain team, or who want to represent kafka topics as resources along with relationships to their consumer/producer microservices, can now do so using Cortex.
AI and ML News: AI: Continuing the Chase for Brain-Level Efficiency
“Giving developers observability of their infrastructure gives them much-needed contextual information that improves and speeds development of the applications and services they create,” said Paul Nashawaty, Senior Analyst at Enterprise Strategy Group. “The ability to share this information across teams helps them stay aligned in their workflows and outcomes, and greatly benefits their organizations and their customers.”
Cortex’s fast-growing customer base, which includes Adobe, Brex, Grammarly, Palo Alto Networks and SoFi, has found great flexibility in the platform, enabling them to develop a multitude of creative new use cases. The ability to systematically add items that are not microservices to a catalog, track them by owner and apply scorecards to their performance has been the company’s most-requested capability in the last 12 months.
“These new capabilities provide significantly deeper visibility into what cloud resources are being used, by whom, and to what effect, than any single platform has had before,” said Cortex co-founder and CEO Anish Dhar. “These new levels of visibility and control give companies using Cortex greater ability to optimize a broader set of resources to enhance cross-functional collaboration and improve their own performance, which is especially important to engineering teams as they work to optimize resources to align with their business goals.”
AI ML in Marketing: AI and Big Data Analysis Used to Find Brands’ Emotional Connection
[To share your insights with us, please write to email@example.com]
Comments are closed.