DevOps Services

Focus on business with DevOps service

We provide the life cycle of business services: from code storage to the required level of availability and performance

Minimum need for product support

No need to maintain a DevOps platform and infrastructure.

Improving team communication

DevOps is impossible without collaboration, the principle of shared responsibility and understanding of common goals

Development budget optimization

To maintain the IT infrastructure, you need a minimum staff, you can hire more developers

Reduce costs with open source tools

Speed up the development process

Preparing infrastructure for deployment

CI/CD Implementation

Build environment optimization

Build automation and keeping the application up to date

Application container management

IaC

Product quality improvement

Reducing the number of failures when releasing new releases

Accelerating the implementation of changes

Reduced disaster recovery time

Automatic scaling and failover

How the service works

Business needs analysis

Conducting an audit of an existing solution in order to fit into it as much as possible

Choosing the best solution based on the DevOps tool stack

NDA signing

Deployment of all necessary services and components

Testing the effectiveness of the resulting solution. Making adjustments if necessary

Implementation of support according to SLA (the format is discussed individually) and employee training

Quick start: less than a month from signing the contract to the result

The project team, which includes an architect and a CSM/account manager to interact with the business, is already assembled, has expertise and costs less than an in-house

Reduced time to market by freeing up resources for R&D and development

Scale with Time to Material + Pay As You Go for IaaS/PaaS tools

CI/CD (Continuous Integration/Continuous Delivery)

Microservices

Infrastructure as Code (IaC)

Monitoring and documentation of development

Data sharing and collaboration

DevSecOps - checking code for security

Version control tools

GitHub
Bitbucket
GitLab

Containerization

Docker
ConteinerD
Kubernetes + CubeCTL + Lens
Helm

Application monitoring

Prometheus+Grafana
ELK
APM

Infrastructure monitoring

Prometheus+Grafana
Prometheus+Zabbix

Configuration management

Ansible+Operator Framework
SaltStack + Rundeck

CI/CD integration/deployment automation

Jenkins + Groovy

Auxiliary tools

Terraform (IAC)
Confluence (knowledge bases)
Sonarqube (Secure Code Management)

Those who need a quick start in DevOps with minimal time and resources

Those who want to automate the development and improve the time-to-market of their products

Large companies with significant IT spending who need a qualitative leap in the efficiency of system development and administration

Companies that need a qualitative leap in the efficiency of development and administration of systems

Those who need to increase the reliability and availability of applications through the use of distributed solutions

Those who want to implement the best IT practices and methodologies without downtime in processes and easily scale

Large companies with high IT spending

Large companies looking to cut IT costs

In general, the cost of implementing Managed DevOps is affected by the breadth of the IT landscape and the scale of the project.

Type of architecture (monolithic and microservice architecture require different time for containerization)
Storage infrastructure (on-premise, private/public cloud, hybrid)
Type/number of technological components, presence of containerization and type of solution
Availability of CI/CD processes
Deploy frequency
Type of load (low, variable, high) and number of hits
The need for development

Web server configuration and deployment automation

Automate code compilation using various compilation tools (Maven, Gradle, Nuget, .Net, etc.)

Automation of work with Enterprise applications

Automation of assembly and delivery of code using "system" languages (PowerShell, Bash, VB, etc.)

Database interaction automation (PaaS and managed DB) – MSSQL, PostgreSQL, MySQL, ClickHouse

Automation of interaction with databases (PaaS and managed DB) - MSSQL, PostgreSQL, MySQL, ClickHouse

Automating the storage and delivery of static application content with S3 and NAS

Solution for interacting with the storage of assembly artifacts (Docker Registry, JFrog, Harbor, private solutions)

Why are we

Quick start from 1 week

Choosing the optimal solution

Advanced audit and IT consulting

Transparent pricing

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DevOps Services

How the service works

Who Needs Managed DevOps

How the price is formed

Why are we

Quick start from 1 week

Choosing the optimal solution

Advanced audit and IT consulting

Transparent pricing