Deckhouse was created by Flant — a company boasting a rich history of running Kubernetes in production since 2016. Deckhouse was born as part of our in-house effort to handle the challenges of creating and maintaining dozens — later, hundreds — of full-featured, production-grade, robust Kubernetes clusters of different sizes. Then, finally, after a long internal journey, it became an Open Source project:
clusters in production
apps in production
Deckhouse in numbers, until its first public release in May 2021

Our expertise

Flant has been building and maintaining a reliable infrastructure for business-critical applications since 2008. After focusing for years on Kubernetes-based solutions, we achieved the status of Kubernetes Certified Service Provider (KCSP) and became a Silver Member of the CNCF (Cloud Native Computing Foundation) in January 2019. Dozens of our DevOps engineers obtained Certified Kubernetes Administrator (CKA) certification.
years of experience
CKA-certified engineers
GitHub stars

Our Open Source

We have adhered to the Open Source ideology since our company's inception.

After spending a decade creating Open Source software, we also released two precursors to Deckhouse (in 2019). They are used under the hood of Deckhouse Platform and are well-known in the Kubernetes community (e.g. check this talk at KubeCon NA 2020).


The first Deckhouse building block used to create Kubernetes operators using scripts or any binaries.


The second building block for Deckhouse which manages Kubernetes modules based on shell-operator.

More projects by Flant


A powerful CI/CD tool to glue Git, Docker, Container Registry, your existing CI system, Helm, and Kubernetes.


A Grafana panel plugin for visualizing the status of multiple objects over time.


A Prometheus exporter for proactively warning you about missing images defined in your K8s manifests.

Find out more on GitHub!

Success stories from our clients

Main business
A platform for customized nutrition plans.
G-Plans had previously used Kubernetes under kOps. Auto de-scaling was a must to control the costs of cloud infrastructure. Having been dragged down by unexpected downtimes, it demanded the increased stability that Kubernetes clusters could provide.
G-Plans has moved services to Kubernetes clusters created with the help of Deckhouse Platform, taking full advantage of our autoscaling module, and increasing its services’ stability by minimizing downtime to the desired SLA level (99.96).
Main business
Smart trading terminal and auto trading bots for cryptocurrency exchanges, designed to increase profits while reducing risk and minimizing losses for traders.
3Commas had deployed all of its microservices on VMs but it was held back by a lack of scalability and robustness in the event of rapid traffic influxes.
3Commas selected Deckhouse as the most convenient NoOps Kubernetes platform, harnessing the benefits of autoscaling to accommodate their constantly growing business.
Main business
An all-in-one text messaging service.
All of SimpleTexting’s services were based on virtual machines and had to ensure that high loads could be supported without any hiccups.
SimpleTexting selected Deckhouse as the most convenient NoOps Kubernetes platform, in particular enjoying the advantages of autoscaling as traffic continues to spike.
Main business
Travel services.
Tripster had been deploying their clusters on bare metal. The main challenge was to control deployment, update it, and monitor performance.
Tripster onboarded Deckhouse Platform and saved itself the enormous amount of effort it had previously spent on managing bare metal clusters. Furthermore, it increased observability via ready-to-use alerting and dashboards.
Main business
Classifieds in the Central Asia region.
Lalafo had never used Kubernetes before, but they were having trouble handling high loads and were in search of a failover solution, so they decided to give it a shot.
The Deckhouse clusters in lalafo have ensured the functionality of the failover structure which utilizes the full power of Istio to organize a service mesh.
Main business
DIY retailer (home improvement and gardening).
The retailer had a bunch of Kubernetes clusters hosted in various data centers and clouds. The challenge was to find a cost-effective way to manage its infrastructure.
Leroy Merlin Russia has selected Deckhouse Platform as a tool to manage all their clusters in 4 different data centers and clouds (OpenStack, vSphere, Yandex Cloud). Ever since it was put into implementation, the customer has benefitted from enormous observability and single-window control.
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