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Full cycle of DevOps service

We create high-performance systems, increase the stability of existing software, track business metrics and improve monitoring systems, as well as provide technical support 24/7

Kubernetes Expertise

We are implementing automation of deployment, scaling and application management using the incredibly flexible Kubernetes platform.

Red Hat Products

We use and "customize" the leading and world-renowned solutions from Red Hat. The results will have a positive impact on almost all technological aspects of your company.

Cloud Computing

We help you not to be distracted from the main business tasks due to partial or complete migration of IT infrastructure to the cloud.

Automation

Thanks to DevSecOps practices, from a new idea in a programmers head to changes in a clients product, not many months pass, but days and weeks. This improves the quality of the product and makes it easier for employees to create.

DataOps and MLOps

We help to store data securely, optimize the DBMS for current business requirements and solve various tasks related to data storage and processing. We train and integrate Machine Learning models for efficient work with large data arrays.

Black Friday

Black Friday is when you are waiting for a lot of orders, and your IT department is waiting for problems? Now only orders, no problem. The systems we configured will automatically scale during peak periods.

Audit

If there are failures and errors in the operation of systems, then a quality audit will show how to fix them in the least costly way. If there were no failures, then the audit will help to avoid them in the future. We are also professionally engaged in preparing for certification for compliance with the requirements of the PCI DSS standard.

They trusted us with their servers:
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Our SRE engineers will be helpful at any stage
Planning
Software engineering
Assembly
Testing
Delivery
Support
We will minimize costs and plan the timing of product creation
Full automation of processes
Identifying problems at early stages
Identifying deep problems before they are revealed to users
Multiple release with changes
We will reduce service downtime to a minimum
Integration with project management system
code review integration with project management system infrastructure description through code
Assemby automation Unit - testing statistical code analysis
Integration tests load tests functional tests safety tests
automatic deployment to different environments smoke testing
Logging systems monitoring systems problem notification
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What happened in 7 days
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162
New tasks
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32
In work
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130
Closed tasks
Our work with clients
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Expertise

  • Infrastructure and CI /CD
  • Cloud migrations and Kubernetes
  • SRE, DevOps practices and tools
  • A comprehensive approach to troubleshooting

Communication

  • A team of DevOps engineers
  • Deferred Workflow
  • A convenient chatbot for interacting with the team
  • Transparent progress reporting

Economy

  • Ensuring the optimal cost of your infrastructure
  • Freedom to choose clouds and other service providers
  • No risk of loss of information with
    frequent change of employees
  • Fast start, flexible workforce scaling

Absence of risks

  • 24/7 support with 15-minute SLA
  • Vendor-agnostic infrastructure
  • Open source solutions
  • Platform Engineering

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audit, code audit?
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Our projects
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Task
Build a refractory platform for deploying applications, as well as translate the entire software development process into modern technologies for the Chocofamily group of companies.
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Solution
Our SRE engineers developed several Kubernetes clusters, implemented CI / CD processes for different environments and migrated more than 600 services on new "rails". So they developed CI / CD templates for several programming languages - PHP, Python and others. Organized centralized access to various systems for 450 employees and modernized the system for monitoring digital products.

Implemented technologies:

  1. Docker
  2. Kubernetes
  3. CI / CD on Gitlab
  4. Jira/Confluence
  5. Nexus Sonatype
  6. Prometheus, Grafana
  7. EFK
  8. RabbitMQ
  9. FreeIPA
  10. Zabbix
  11. HELM
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Task
Completely separate the infrastructure in connection with the separation of the insurance division of Kaspi Bank JSC into a separate entity - Basel Insurance Company JSC
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Solution
First of all, our engineers prepared the target infrastructure, deployed the network layer and created the necessary virtual machines on the side of Basel Insurance Company JSC. To communicate with the data center of Kaspi Bank JSC, a temporary communication channel was "raised" and the corresponding routes were registered, which in turn made it possible to complete a phased migration process without denial of service for the end user. During the indicated period of time, we completely separated IP telephony, DBMS and various auxiliary systems. Also, our specialists carried out the modernization of some systems and the implementation of various solutions based on open source.

Implemented technologies:

  1. Proxmox
  2. Nutanix
  3. Cisco
  4. Mikrotik
  5. Fortigate
  6. Asterisk
  7. MS Active Directory
  8. MS Exchange
  9. Oracle
  10. Zabbix
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Task
Implement HA infrastructure for the Halyk Market project. Conduct stress testing and software tuning to handle 10,000 concurrent connections per second.
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Solution
To meet the business requirements, we "deployed" a fault-tolerant infrastructure based on Kubernetes in multi-master mode, PostgreSQL from 3 replicas with Patroni "wrapper", as well as GlusterFS distributed file storage. After the basic configuration, we switched to stress testing, thanks to which we got accurate metrics for horizontal scaling and identified all the bottlenecks of the system. At the final stage, our specialists carried out performance tuning with the subsequent transfer of the infrastructure to the customer's specialists.

Implemented technologies:

  1. Kubernetes
  2. PostgreSQL
  3. GlustreFS
  4. Nginx
  5. ELK
  6. InfluxDB
  7. jMeter
  8. Prometheus
  9. Grafana
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Task
Conduct an audit of a fleet of physical servers, solve problems with the availability of the application, develop an architecture and offer options for building, testing and delivering the product.
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Solution
We have reduced our physical server fleet through the use of cloud computing. As a result of the project migration to the Kubernetes platform, in conjunction with cloud services, it was possible to optimize resource consumption, as well as apply technologies for horizontal automatic scaling. Our engineers implemented the GitOps methodology using solutions from GitLab and deployed a secure VPN server for the centralized work of the client team. As a result, the client was able to reduce infrastructure costs, as well as automate development processes and, as a result, reduce time-to-market.

Implemented technologies:

  1. Openstack
  2. Terraform
  3. Kubernetes
  4. Gitlab CI/CD
  5. PostgreSQL
  6. PHP
  7. GitOps
  8. Proxmox
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Task
One of the largest software developers in Kazakhstan, Prime Source, submitted the task of optimizing infrastructure and CI / CD processes.
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Solution
Application architecture consisted of microservices developed in java and angular. Practice of CI was partially applied during production, but at the same time, due to huge number of own scripts, many processes depended on the work of one engineer. To solve this issue, we deployed a Kubernetes cluster, created master-slave PostgreSQL replication. Implemented true unified CI for all microservices via Helm. Client now has more testing environments.

Implemented technologies:

  1. Gitlab (CI, registry, gitlab-runner)
  2. Helm v3
  3. Prometheus
  4. Grafana
  5. PostgreSQL
  6. EFK
  7. K8S
  8. Redis
  9. RabbitMQ
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Task
Sberbank needed to implement advanced DevOps practices. But the closed low-code solutions used in the company did not allow rebuilding production processes.
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Solution
As a result of the infrastructure audit, we decided to create a technology for assembling, testing and delivering products for the client from scratch. For the solution we developed, we also established end-to-end integration between all client systems. We named the resulting product Semaphor and are actively improving it. As a result, Sberbank was able to successfully implement DevOps in its processes.

Implemented technologies:

  1. Jenkins
  2. Jira
  3. BitBucket
  4. Docker
  5. Semaphor
  6. Nexus
  7. HAProxy
  8. Outsystems
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Task
Abandon “vendor lock-in” solutions and switch to independent product development. Organize an in-house development team, migrate the project to the Yandex cloud infrastructure and get certified according to PCI DSS standards.
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Solution
Our engineers have done work on deploying a hybrid infrastructure: Development, Stage environment and development environment on physical servers, Production on Yandex cloud. We prepared the infrastructure and successfully passed the information security audit (PCI DSS). Automated development processes, implemented tools for statistical analysis of code and docker containers for vulnerabilities. Organized a proactive incident response system and implemented a toolkit for monitoring critical metrics.

Implemented technologies:

  1. Kubernetes
  2. PostgreSQL
  3. Kafka
  4. ElasticSearch
  5. Nginx
  6. Loki
  7. Prometheus
  8. Grafana
  9. Harbor
  10. Gitlab
  11. SonarQube
  12. Sentry
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Task
Beeline's internal development department approached with the task of building a continuous delivery pipeline of CI / CD applications using DevOps practice.
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Solution
We have deployed Kubernetes clusters for the main site and for number of internal company systems. The implemented fault-tolerant system included hot standby system located in another data center, dedicated development and testing environments for all customer services, and established CI/ D processes based on GitLab. As a result of our work, we have increased development speed, releases frequency and code testing quality.

Implemented technologies:

  1. Kubernetes
  2. CI/CD на базе Gitlab3
  3. Sonarqube developer edition
  4. Nexus
  5. Grafana + Prometheus
  6. Rancher
  7. Elk
  8. Jira
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Task
First Credit Bureau decided to re-architect and implement CI/CD for its computer-equipped banking system (CBS). But the company had never built such architectures before and lacked the appropriate infrastructure.
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Solution
We completely redesigned the existing infrastructure in accordance with our best practices and moved banking system to Kubernetes cluster., we implemented CI/CD processes with several development environments on it, and also solved numerous and business-critical problems with Elasticsearch, which is very actively used in the application.

Implemented technologies:

  1. Kubernetes
  2. CI/CD на базе Gitlab
  3. Sonarqube developer edition
  4. Grafana + prometheus
  5. Jira
  6. Elk
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Task
Peculiarities of Froot.com technological line did not allow the internal development department to build a CI/CD pipeline using DevOps practices on its own infrastructure.
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Solution
In a short period of time, we deployed new site from scratch and provided ready-made solution: from installing bare metal equipment to installing and configuring components directly involved in Internet broadcasting. After that, we migrated prod environment to new infrastructure and increased fault tolerance characteristics.

Implemented technologies:

  1. Kubernetes
  2. CI/CD на базе Gitlab
  3. Sonarqube developer edition
  4. Grafana + prometheus
  5. Nexus
  6. Rancher
  7. Jira
  8. Elk
prime-source
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Task
The infrastructure of the online store is built on simple and proven, but difficult to scale solutions. They limited the ability to grow and manage the infrastructure of the entire project. There was a need for horizontal scaling and optimization of the DBMS.
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Solution
To ensure horizontal scalability, a Kubernetes cluster was introduced. The phased migration of the project to the updated architecture ensured successful and more than twofold (in terms of infrastructure) growth of the project, formed the foundation for its further evolution as a scalable solution. Developers received constant advice and tools that simplify the process of delivering applications to production. Numerous and business-critical issues with Elasticsearch, which is actively used in the application, have been resolved.

Implemented technologies:

  1. Kubernetes
  2. Zabbix
  3. PostgreSQL
  4. Gitlab-CI
  5. VMware
  6. NFS
  7. Nginx
  8. ELK
  9. Elasticsearch
  10. Sentry
prime-source
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Task
Inbuh service was experiencing difficulties with the existing solution: applications hung due to improper resource allocation, uncontrolled distribution of licenses was in progress, which were expensive ones. On top of that, the available tools did not allow automating the creation, deletion, and migration of databases.
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Solution
During the phased transfer of project to updated architecture, we ensured more than two-fold growth of infrastructure and its scalability.

Implemented technologies:

  1. Proxmox
  2. Apache2
  3. 1C license server
  4. 1C worker node
  5. Postgresql с репликациями
  6. Glusterfs
Stack of used technology
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Ansible

We manage your infrastructure not manually, but through scripts

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Cloud CI

Cloud solution for CI/CD

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Helm

We draw charts for your applications

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Graylog

We collect all logs in one place

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New Relic

We implement cloud monitoring

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Jenkins

We implement for applications assembly and testing

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Gitlab / CI

We land DevOps Approach on Git Repository

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Docker

We pack applications into containers

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Terraform

We increase opportunities for creating and managing cloud resources

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Docker Swarm

We deploy sworm cluster and docker-compose stacks

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EFK

We configure elastic/fluent/kibana to collect and display logs

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Prometheus

We monitor systems aimed to business metrics

Many of the most outstanding developments in the history of computing have been born in free, open source communities. We actively support such communities and are members of the Linux Foundation and the Cloud Native Computing Foundation.
Estimated prices
Plan
User
Switching to CI/CD
Infrastructure
Number of requests
Number of VM
Price
Basic
1 manager

1 prod environment
1 Kubernetes cluster,
1 virtual server
with DBMS
~15 / mo.
~6
960$ / mo.
Plus
3 developers
1 tech lead
1 prod environment,
1 stage environment,
5 dynamic
dev environments
1 Kubernetes cluster
on AWS,
2 virtual servers
with DBMS
~30 / mo
~16
2460$ / mo.
Professional
10 developers,
2 team leads,
1 Senior Technical Director
1 prod environment,
2 stage environment,
10 dynamic
dev environments
2 bare metal Kubernetes clusters
Failover DBMS Cluster
S3 Object Storage
Traffic balancer
Access control via FreeIPA and Keycloak


~ 60 / mo
~ 38
5460$ / mo.
Commercial
30 developers,
5 team leads,
1 technical architector,
1 Senior Technical Director
2 prod environment,
2 stage environment,
80 temporary dev environments,
4 QA circuits with auth. testing,
deployment in 2 data centers, integrated
tests
2 data centers,
50 physical servers,
12 of them - with DBMS,
4 Kubernetes clusters,
2 prod environments on bare metal
2 stage environments on bare metal
Configuration management via Ansible Tower
~120 / mo
~115
On request
Plan
Basic
960$ / mo.
User
1 manager

Switching to CI/CD
1 prod environment
Infrastructure
1 Kubernetes cluster,
1 virtual server
with DBMS
Number of requests
~15 / mo.
Number of VM
~6

Plan
Plus
2460$ / mo.
User
3 developers
1 tech lead
Switching to CI/CD
1 prod environment,
1 stage environment,
5 dynamic
dev environments
Infrastructure
1 Kubernetes cluster
on AWS,
2 virtual servers
with DBMS
Number of requests
~30 / mo
Number of VM
~16

Plan
Professional
5460$ / mo.
User
10 developers,
2 team leads,
1 Senior Technical Director
Switching to CI/CD
1 prod environment,
2 stage environment,
10 dynamic
dev environments
Infrastructure
2 bare metal Kubernetes clusters
Failover DBMS Cluster
S3 Object Storage
Traffic balancer
Access control via FreeIPA and Keycloak


Number of requests
~ 60 / mo
Number of VM
~ 38

Plan
Commercial
On request
User
30 developers,
5 team leads,
1 technical architector,
1 Senior Technical Director
Switching to CI/CD
2 prod environment,
2 stage environment,
80 temporary dev environments,
4 QA circuits with auth. testing,
deployment in 2 data centers, integrated
tests
Infrastructure
2 data centers,
50 physical servers,
12 of them - with DBMS,
4 Kubernetes clusters,
2 prod environments on bare metal
2 stage environments on bare metal
Configuration management via Ansible Tower
Infrastructure
2 data centers,
50 physical servers,
12 of them - with DBMS,
4 Kubernetes clusters,
2 prod environments on bare metal
2 stage environments on bare metal
Configuration management via Ansible Tower
Number of requests
~120 / mo
Number of VM
~115
Easily calculate the cost of work
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