LOGIC

For LOGIC

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Overview

$1,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

2 - 9

Employees

2020

Year Founded

ABOUT LOGIC

We build exceptional products for the web.

We create high-quality web applications and automate processes for organizations of any size.

Tech Stack

DjangoVueJSFlutterPythonJavaScriptGo

Languages Spoken

EnglishGreek

HIGHLIGHTS

$1,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

2 - 9

Employees

2020

Year Founded

Services

Focus

Industries

Clients

Services Provided

34% API Development & Integration

33% DevOps Engineering

33% Web App UI Design

About the Team

OUR STORY

LOGIC is a dedicated software company focused on crafting exceptional products through meticulous engineering for both our clients and our own use. We prioritize the end user without compromising on the quality of our cloud infrastructure automation or software craftsmanship. Believing that outstanding user experiences and superior build quality are intertwined, we strive to deliver excellent products. Our approach involves writing commitments to uphold transparency and avoiding deceptive practices, choosing what benefits both clients and internet users thoughtfully. We embrace automation to enhance meaningful work, aiming for optimal, timely deliveries rather than unattainable perfection. Valuing time as precious, we design products that save it, mitigate risks, and foster long-term, trust-based partnerships with clients, emphasizing durable, reliable solutions over short-term gains.

Portfolio

Development of Mechbase

Unknown

**Objective**: Create, launch, and sustain a web application that serves as a unified source of truth for data gathered by WEARDC® and MAINTNODE® (such as equipment usage, performance, and maintenance). **Solution**: We accomplished this goal by developing Mechbase, a web application built on Django, Celery, Postgres, and Redis, which is deployed using GitHub Actions on a Docker Swarm cluster. **Development**: The development of Mechbase was initiated from the ground up and included various components. Initially, we created the Django and Postgres web application that processes data and presents it in a useful format for customers. Subsequently, we developed Celery and Redis workers to process and aggregate this data for enhanced usability. Finally, we created agents operating on multiple Raspberry Pi devices stationed at different factories, which transmit data to the Django web application. **DevOps**: To maintain simplicity, we chose Docker as our DevOps foundation. Local development occurs using Docker Compose, which can optionally be done within Dev Containers. The production setup runs on a Docker Swarm cluster, utilizing the same Docker Compose configuration. Both build and deployment processes are managed via a self-hosted GitHub Actions runner. **Results**: Mechbase has been operational in a production environment for several years, benefiting from continuous updates and impressive uptime. It remains an active project of Arpedon, overseen by LOGIC, and generates increasing annual recurring revenue. **Open Source**: In collaboration with Arpedon, we utilized and enhanced open-source code that is accessible for public use. Notable examples include Django Prose, our comprehensive rich-text editing solution for Django, and sec, our Python library for managing secrets across local development and production environments.

Review of Django project

Unknown

Objective: We partnered with Neon Law to perform a technical analysis of one of their code repositories, primarily focusing on evaluating best practices for managing data and credentials. Solution: Initially, we cloned the code repository and ran it locally, which helped us understand the application's requirements and observe how credentials and data are handled during development. We then conducted an in-depth analysis of the code, specifically targeting the Django project, to assess the management of data and credentials. During this analysis, we confirmed that data was being handled appropriately within the code. Finally, we examined the application’s configurations necessary for deployment and production, ensuring that production-specific settings were correctly implemented as needed. Results: We delivered a comprehensive document to Neon Law detailing our findings related to best practices for data and credential management. Each observation was paired with recommended actions to address potential issues. Additionally, we offered several suggestions to enhance the developer experience and optimize performance.

Deployment automation

Unknown

Objective: Our collaboration with Phenometry aims to enhance their impressive ability to deliver high-quality software quickly, even in the absence of a full-time DevOps position on their team. The initial step involved automating deployments across various environments while also streamlining, simplifying, and documenting the underlying infrastructure. This approach allowed the team to continuously progress and adapt as the product developed. Solution: Before we began any operations, we established that all tasks would be managed through GitHub Pull Requests, utilizing GitHub Actions for automation and CI/CD workflows. This setup facilitates rapid development and review cycles while providing the team with significant autonomy and control. We started by implementing GitHub Actions CI/CD for all environments and then streamlined existing workflows for deployments to ECS Fargate. Finally, we established both automated and manual deployment workflows tailored to each environment, giving the team full control over their deployments. Next, we focused on infrastructure. We began by importing and documenting the current AWS resources in Terraform, creating reusable modules for multiple environments. Additionally, we set up a CI/CD workflow using GitHub Pull Requests and OpenID Connect to enhance security. This allowed the team to securely review and implement all future infrastructure updates on GitHub with just a click. Lastly, we transitioned the deployment of a statically generated front-end application from ECS Fargate to CloudFront, resulting in improved user performance, faster deployment times, and reduced monthly AWS costs. Results: The outcomes were immediately apparent. New deployment scenarios emerged, deployment times decreased by 50%, and Fargate costs for the front-end were eliminated. Open Source: We reused and released open source code, including GitHub Actions workflows for Terraform on AWS, as well as Terraform modules for IAM users, RDS, and Secrets Manager secrets.

1 more project

Projects & Clients

Project Size & Rate

Minimum Project Size

$1,000+

Average Hourly Rate

$100 - $149/hr

Pricing Snapshot

Min Project Size

$1,000+

Avg Hourly Rate

$100 - $149/hr

Cost Rating

N/A

What Clients Have Said

"LOGIC delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

No budget data yet. Reviewers either haven't shared a project budget or kept theirs confidential.

Select a service

API Development & Integration

DevOps Engineering

Web App UI Design

Locations

Headquarters

Plateia Agion Theodoron 6

Athina, Attica, Greece 105 61

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