Our Certifications

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Our DevOps Services

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DevOps Consulting Service

We evaluate your CI/CD workflows and cloud infrastructure to identify inefficiencies and improvement areas. Over a 1-2 week consultation, our AWS-certified experts provide a detailed assessment with actionable recommendations to enhance performance, security, and scalability.

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Cloud Migration

Move to the cloud with minimal disruption. Our AWS-certified specialists assess your infrastructure, applications, and data to create a migration strategy that maximizes efficiency and business continuity, guiding you from planning to post-migration support.

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DevOps CI/CD Service

We analyze your development processes to implement fully automated deployments across all environments. By collaborating with your engineering team, we integrate tools like Sonar and Snyk to improve code quality and security before production, ensuring a reliable and efficient pipeline.

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Infrastructure Automation/ Infrastructure as Code(IaC)

We automate infrastructure provisioning and management using code for consistency, speed, and reliability. Our DevOps team uses tools like Terraform, CloudFormation, and Ansible to deploy scalable resources, reduce errors, and improve disaster recovery capabilities.

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Cloud Management Service

Offload cloud infrastructure management to our certified DevOps team. We oversee deployments, optimize resources, and resolve technical issues, allowing your engineers to focus on innovation while ensuring seamless cloud operations.

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Cloud Modernization

Upgrade your cloud environment for better performance, security, and cost-efficiency. Using AWS-native services like Lambda, RDS, and S3, we modernize applications through refactoring, containerization (ECS/EKS), and scalable architecture, ensuring your cloud strategy aligns with your business objectives.

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DevOps Consulting Service

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Cloud Migration

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DevOps CI/CD Service

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Infrastructure Automation/ Infrastructure as Code(IaC)

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Cloud Management Service

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Cloud Modernization

Our DevOps Phases

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PLAN

Defining the scope, objectives, and tasks of a project and selecting appropriate tools and practices. This phase ensures that all stakeholders are on the same page and that a clear roadmap is in place before development and deployment begin.

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CODE

Focusing on developing the software with continuous integration practices. Code is written, reviewed, and tested collaboratively, ensuring adherence to coding standards and best practices. Automation tools are often used to streamline the process, enabling frequent code commits and immediate feedback.

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BUILD

Compiling the source code into executable artifacts, integrating all dependencies, and packaging the software for deployment. Automation tools are used to create repeatable, reliable build processes, ensuring that builds are consistent and ready for the next stages.

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TEST

Validating the software's functionality, performance, and security through automated and manual tests. Continuous testing ensures that code changes do not introduce new bugs or regressions.

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DEPLOY

Releasing the software to production or staging environments, often using automated deployment pipelines for consistency and speed. This phase includes provisioning infrastructure, configuring environments, and ensuring that the deployment is smooth with minimal downtime.

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OPERATE & MONITOR

Monitoring, managing, and maintaining the software in production. This phase includes tracking performance, detecting issues, and ensuring system stability and availability. Automated monitoring tools provide real-time insights into application health, while incident response processes address any problems that arise.

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hacktech PLAN

PLAN

Defining the scope, objectives, and tasks of a project and selecting appropriate tools and practices. This phase ensures that all stakeholders are on the same page and that a clear roadmap is in place before development and deployment begin.

2
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CODE

Focusing on developing the software with continuous integration practices. Code is written, reviewed, and tested collaboratively, ensuring adherence to coding standards and best practices. Automation tools are often used to streamline the process, enabling frequent code commits and immediate feedback.

3
hacktech BUILD

BUILD

Compiling the source code into executable artifacts, integrating all dependencies, and packaging the software for deployment. Automation tools are used to create repeatable, reliable build processes, ensuring that builds are consistent and ready for the next stages.

4
hacktech TEST

TEST

Validating the software's functionality, performance, and security through automated and manual tests. Continuous testing ensures that code changes do not introduce new bugs or regressions.

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hacktech DEPLOY

DEPLOY

Releasing the software to production or staging environments, often using automated deployment pipelines for consistency and speed. This phase includes provisioning infrastructure, configuring environments, and ensuring that the deployment is smooth with minimal downtime.

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hacktech OPERATE & MONITOR

OPERATE & MONITOR

Monitoring, managing, and maintaining the software in production. This phase includes tracking performance, detecting issues, and ensuring system stability and availability. Automated monitoring tools provide real-time insights into application health, while incident response processes address any problems that arise.

TECH STACK

Optimize Automation, Security, and Scalability With the Best DevOps Tools and Strategies from Industry Experts.

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Testimonial

HottakeAI: We are using IaC with the help of Terraform, which is deploying the whole infrastructure in AWS. Also, for CI/CD processes and Git purposes, we are using GitLab. For deployment of an app’s backend in development, we are using Docker containerization with Ansible, which gets new changes to the EC2 instance. For production, we are using EKS with helm charts. About the frontend, in both dev and prod, we are using CloudFront and S3 services.

Romeo Avagyan

DevOps Engineer

GlobalAirlines: In this project we implemented Terraform with modules that work with AWS. For Git and CI/CD using GitLab. The best solutions for infrastructure and deployment in this case is EKS with helm charts, as there are some microservices with different stacks that work fine and are isolated from each other. Also, using CloudFront with S3 for Admin frontend side of the project.

Areg Hovakimyan

DevOps Engineer

CyberNet: In this project, we implemented the whole infrastructure manually in AWS. For Git and CI/CD processes, we are using GitHub and for the deployment of an app, we are using Docker with Ansible, which deploys the new version of the app in EC2 instances. On the frontend side, we are using CloudFront and S3 services. Also, using Lambda Functions for routing the request from one domain to another.

Gor Davtyan

DevOps Engineer

LegalPad: Implemented a fully managed Infrastructure as Code (IaC) solution using Terraform, integrated with AWS. Designed a CI/CD pipeline with GitLab CI for building, testing, and deploying applications. Integrated Snyk for vulnerability scanning and AWS CloudWatch for monitoring, along with GuardDuty and S3 Access Logging for enhanced security. Applications were developed as microservices, containerized with Docker, and deployed to Kubernetes using Helm charts.

Romeo Avagyan

DevOps Engineer

AI Front Desk: Implemented a fully managed Infrastructure as Code (IaC) solution using Terraform, integrated with AWS. Developed a comprehensive CI/CD pipeline using GitLab CI for building, testing, and deploying applications. Integrated Snyk for vulnerability scanning and AWS CloudWatch for monitoring, along with GuardDuty. Incorporated Sentry for application error monitoring, Elasticsearch for search capabilities, MongoDB and PostgreSQL as databases, Redis for caching, and SonarQube for code quality analysis.

Daniel Mourad

DevOps Engineer

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