Stable operation of business critical infrastructure is our top priority. All technologies and workflows in use are just a means.
How is this achieved?
based on Kubernetes
We design, implement and maintain the infrastructure based on cutting-edge technologies. We enable our clients to have continuous delivery pipelines. We deliver a fault-tolerant and scalable infrastructure and we run it 24/7.Learn more
We bring our skills and technology to help developers to craft better code. We establish direct and continuous interaction between developers and infrastructure engineers.Learn more
Fully managed service
Dedicated 24x7x365 support
We assess the existing infrastructure, application architecture, deployment processes and provide detailed recommendations and improvements.
Every project is assigned to a team of DevOps engineers.
We carefully review and tailor our Kubernetes-based solution to the needs of the customer. We examine and grow insight into preferred technologies, methods, and application specific points.
We create the infrastructure and migrate services there. We build all the necessary environments and create deploy pipelines necessary for a complete lifecycle of an application.
We provide SLA and technical support using our state-of-the-art monitoring system. We also offer a full suite of consulting services to help you manage infrastructure and CI/CD processes.
We are committed to introducing and sustaining the best DevOps practices. We build continuous delivery processes using the CI system of your choosing.
We continuously strive to improve the infrastructure and processes. Every our customer benefits from our ongoing R&D efforts.
We learn key business values early and never lose focus to achieve the best results for your business.
We offer DevOps service for all use cases for a fixed monthly fee
We are focused on long-term business relations: the better we do our job, the longer you’ll stay with us.
You will get...
... the confidence that we are here to stay and always ready to help you in a critical situation. Plus easy budget planning.
As for us, it is...
... the ability to capitalize on projects even if in the beginning we spend much more effort on initial setup.
Price Calculation Examples
Please note that these are examples and not the actual tariff plans.
Small project example:
CRM web application
- 2 Ruby apps with irregular patches
- 1 PHP app under active development
- 1 Kubernetes cluster in AWS
- 2 DBMS virtual machines
- Redis, Sentry, MySQL with replication
- 1 production env
- 1 staging env
- 5 dynamic dev envs
- 3 developers
- ~10 issues/month
Minimal price starts at1 800 € per month
Medium sized project example:
- 2 big monolithic PHP+Node.js apps
- 5 Golang microservices
- 3 dedicated servers with DBMS
- 2 Kubernetes clusters:
- 1 production bare-metal cluster
- 1 staging bare-metal cluster
- PostgreSQL, MongoDB, Redis, RabbitMQ, Elastic
- 1 production env
- 2 staging envs
- 10 dynamic dev envs
- 2 developments teams with about 5 developers in each team
- ~70 issues/month
Minimal price starts at3 800 € per month
Complex project example:
- 3 PHP services
- 2 big Python monoliths
- 1 Perl service
- 15 Golang microservices
- 2 Java microservices
- 2 Data Centers
- 50 dedicated servers, 12 out of them with DBMS
- 4 Kubernetes clusters:
- 2 production bare-metal clusters
- 2 staging bare-metal clusters
- MySQL HA, PostgreSQL, NATS Streaming, Memcached, Redis, Sphinx, RabbitMQ, MongoDB, Elastic
- 2 production envs
- 2 staging envs
- 4 QA envs with auto tests
- 80 dynamic dev envs
- Integration tests
- Deploy to two data centers
- 6 development teams with 4 to 8 developers in each team
- 2 SRE to supervise Flant and developers
- Infrastructure Architect
- ~250 issues/month
- Extended SLA applies
Price starts at9 000 € per month
How do we calculate the monthly fee?
Fee calculation is based on a system emerged from more than 11 years of our experience. We consider many factors, such as:
The difficulty of adapting the project to our DevOps processes
Number of developers and their skills
The factual loads (requests per second) and data volumes
Number of used technological components
Location, size, and complexity of the infrastructure
The complexity of the application architecture
Please contact us!