Code Monkey home page Code Monkey logo

Vadim Isakanov

Infrastructure engineer.

Keywords: Automation, Infrastructure, DevOps, Kubernetes, Gitlab, CI/CD, Ansible, AWS.

Looking for a job now

email: [email protected]

t.me/vadimisakanov

github.com/vadimisakanov

Currilucum vitae

More than 10 yrs professional experience in IT.

Best work hours - 00.00 - 16.00 UTC, other hours negotiable.

Work experience:

VK.com - SRE

December 2022 - present

Developing infrastructure for a highload B2B project for TOP2 Russian IT company. Developing for project monitoring, IaC implementation, automation tools w Golang/Python/Bash. Promoting the engineer culture and collaboration processes in the team. Made interaction with development & testing teams more effective. Implemented DDoS protection system. Described project business metrics in monitoring.

Key words and tech stack: Ansible, Prometheus, Grafana, Victoriametrics, Tarantool, Clickhouse, Kaspersky KLMS & KWTS, custom S3 storage, Golang, micro-service architecture, monitoring, SRE

ITPO Group - DevOps lead

June 2022 - November 2022

Created processes and system for infrastructure & DevOps implementation works in a team of 30 engineers. Created a DevOps/infrastructure unit of 3 engineers. Described test-stage-prod environments with Terraform using Terraform modules, created idempotent IaC, cut costs with heavy usage of AWS spot instances. Created a stable working CI/CD for a project with 30 microservices. Covered all the envs with basic monitoring, log collection systems. Implemented tools to let dev and test teams to work effectively with our Kubernetes clusters.

Keywords & tech stack: AWS, Java, npm, Kubernetes, DevOps, Ansible, Terraform, ELK stack, Gitlab CI, micro-service architecture

EPAM systems - systems engineer, devops/infrastructure/automation

2020 - June 2022

Automating IT infrastructure, deployment processes, devops processes for one of the projects in EPAM - one the world's biggest outsource companies. Implementing DevOps approach, infrastructure setup with Infrastructure as a Code system, integrating CI/CD, Kubernetes, modern monitoring, log systems, etc, adopting apps for Kubernetes. Moving the project infrastructure to Kubernetes platform & cloud-native system.

Keywords & tech stack: AWS, Java/Tomcat, Kubernetes, DevOps, Ansible, Terraform, Prometheus+Grafana, ELK stack, Gitlab CI, Jenkins CI

Cogia Intelligence - infrastructure engineer

2019 - 2020

Creating and maintaining IT infrastructure for a data analytics startup. Implementing DevOps approach, infrastructure setup with Infrastructure as a Code system, integrating CI/CD, Kubernetes, modern monitoring, log systems, etc.

Keywords & tech stack: Java/Tomcat, Kubernetes, DevOps, Ansible, Terraform, Zabbix, Prometheus, ELK stack, Gitlab CI, Apache Cassandra, heavy MySQL installations

Southbridge.io - ops engineer, infrastructure automation

2017-2019

Creating and maintaining IT infrastructure of some of the biggest web projects in Russia & CIS.

Keywords: highload, devops integration, amazon aws, gitlab ci, kubernetes, ansible automation, bash scripting automation, monitoring (zabbix, prometheus).

Tech stack: kubernetes, gitlab ci, linux, LAMP, nginx/apache, php/python/ruby deployments, databases (mysql, postgresql, mongodb), clusterization tools, openvz & kvm virtualization & lots of other stuff.

Hosterbox.ru - CTO

2010-2017

A web-hosting provider with managed services.

Tech stack: linux, LAMP, kvm & openvz virtualization, ansible automation

Also was a business owner, so it's 7 years business experience. Since then I have experience hiring people, making teams, experience in sales, management, finance, market researches, being financially effective.

RT.com (Rostelecom) - network engineer

2007-2008

ISP network engineer. Was responsible for ADSL infrastructure.

Education:

South Ural State University - susu.ru, 2004-2009, bachelor degree in Computer Science and Radio Communications

EDX.org Introduction to Kubernetes course

LinuxFoundations Kubernetes Administration course

Slurm.io offline Kubernetes cources

Bio

Born in 1987, live in Russia, Chelyabinsk, GMT+5. Able to travel several times a year.

Native Russian language, fluent English, basic German and Spanish.

A host and speaker for UWDC.ru conference, sysadminka.timepad.ru meetups, Kubernetes meetups in Russia

Vadim Isakanov's Projects

cv icon cv

currilucum vitae

k8sh icon k8sh

A simple, easily extensible shell for navigating your kubernetes clusters

laravel-prerender icon laravel-prerender

Laravel middleware for prerendering javascript-rendered pages on the fly for SEO

open-infrastructure icon open-infrastructure

Open Infrastructure Project. Tested tools, frameworks, wikis, work rules for infrastructure.

prerender icon prerender

Node server that uses phantomjs to render a javascript-rendered page as HTML. To be used in conjunction with prerender middleware.

terraform icon terraform

Terraform enables you to safely and predictably create, change, and improve infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.