In 2019, my team at Kong [introduced](https://konghq.com/blog/introducing-kuma-universal-service-mesh)introduced a new open source project called [Kuma](https://kuma.io)Kuma. Now a sandbox project of the [CNCF](https://www.cncf.io)CNCF, Kuma is a modern, universal control plane for service mesh based on [Envoy](https://konghq.com/blog/envoy-service-mesh)Envoy.
As we celebrate Kuma's achievements, I want to thank the Kuma community for your support and contributions!
In the **past 12 months **alone, Kuma had:
Kuma has developed a tight-knit community over the last couple of years. With **2,400 GitHub stars**, Kuma receives support from **43 contributors** and **800 Slack community members**.
Our biggest contributors over the past year included:
Also, a special shout out to Austin Crawley-Edwards, who became a maintainer for Kuma this year!
In the last year, we went from release 0.7.1 to 1.3 and released hundreds of new features, including 70+ observability charts. Below are highlights from some of the major features shipped in the past 12 months.
Visualize all of your service traffic dependencies with information such as the number of requests and error rates. This new feature ships as a new official Grafana dashboard and can be installed automatically by running kumactl install metrics :
In addition to the traditional “strict” mode, this new mode allows for easier migration of existing applications into the service mesh by allowing more flexibility into how the data plane proxy certificates are validated on incoming requests.
Protect your services from aggressive traffic and downtimes to improve overall application reliability.
New L7 Traffic Routing policy to route - and modify - HTTP traffic per path, method, header or any other combination, with regex support. You can modify traffic before reaching the final destination too. This feature works in addition to the existing L4 traffic routing that Kuma provides.
Kuma's hybrid capabilities allow different service meshes across Kubernetes and VM workloads and support within the same mesh. This, combined with Kuma's multi-zone capabilities, allows users to run one control plane of Kuma with as many service meshes as you need on virtually every platform within your organization.
Kuma's roadmap is heavily influenced by the user feedback in production. As such, we will:
Thank you to the Kuma Community for your support and contributions! Join [the Kuma community](https://kuma.io/community)the Kuma community on GitHub, Slack, Community Calls or Meetup if you haven't already.
Join the builders and leaders taming the API jungle live and in person at Kong Summit 2022 September 28-29, 2022, at the historic Palace Hotel in San Francisco, California. Registration is now open . Kong Summit 2022 will feature more than 70 sp
[](https://konghq.com/blog/news/kong-summit-2022)
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[](https://konghq.com/blog/news/api-innovator-awards)
What a year we have had! Hypergrowth, a huge community, and lots of recognition. But what we are most proud of is how Kong's technology has impacted the world, thanks to our users. We can't thank these users and the community enough for making Kong
[](https://konghq.com/blog/news/celebrating-four-years)
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The release of Kuma 2.3 brings experimental support for GAMMA (Gateway API for Mesh Management and Administration) resources. Kuma has long supported Gateway API with the built-in gateway for ingress traffic but with GAMMA support, users can specify
[](https://konghq.com/blog/engineering/gamma-and-kuma)
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