Scalecast

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Scalecast Alternatives

Vention
4.9
1,001-5,000
New York

Software Development
App Development
Web Development
Artificial Intelligence
Let us worry about integrations

Profile Overview

About Scalecast

Custom software development and outsourcing company with over 10 years of experience in connecting business platforms - online stores, delivery companies, and distributors throughout Europe and beyond.

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Locations


Riga

Brivibas gatve 239
LV-1006 Riga (LV)
+37126378780

Services

40%
20%
10%
5%
5%
20%

Frameworks

10%
15%
55%
20%

Application Platforms

15%
35%
15%
30%
5%
  • Amazon: 15%
  • Linux Server: 35%
  • Windows Server: 15%
  • Azure: 30%
  • Heroku: 5%

Artificial Intelligence

10%
10%
80%
  • Chatbot : 10 %
  • Other: 10%
  • Speech & Text Processing: 80%

Programming & Scripting

40%
10%
10%
10%
10%
15%
5%

Consulting

50%
45%
5%

DevOps Technologies

10%
20%
10%
15%
10%
15%
5%
15%
  • Docker: 10%
  • Kubernetes: 20%
  • Helm: 10%
  • Prometheus: 15%
  • Grafana: 10%
  • GitLab: 15%
  • SonarQube: 5%
  • Azure DevOps: 15%

Database Technologies

20%
5%
25%
10%
5%
5%
5%
5%
20%
  • MS SQL : 20 %
  • MySQL: 5%
  • PostgreSQL: 25%
  • MongoDB: 10%
  • Elasticsearch: 5%
  • AWS S3: 5%
  • Azure Storage: 5%
  • SQLite: 5%
  • Redis: 20%

User Management

20%
25%
40%
15%
  • Auth0: 20%
  • Azure AD: 25%
  • OAuth2 / OpenID Connect: 40%
  • Other: 15%
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Portfolio

Key Clients

Evernite FNH Elko Solit ACC Also

Downloads

Projects

Evernite

Case Study by Scalecast

Evernite
"FNH" LLC

E-Commerce

June 2023
May 2024

Software Development

.NET Core, ASP.NET Core, Docker, Next.js, React, Other


Description

Scalecast developed an ecosystem of software solutions for a retail company. They built the system architecture, UI, data models, database schema, and integration points using Kubernetes, RabbitMQ, Redis, gRPC, REST, GraphQL, .NET, React

Challenge

  1. Designing a complete architecture of all services that operate in sync
  2. Achieving reliability of price and stock synchronizations among distributed systems and regions.
  3. Achieving scalability and availability of all services on all regions
  4. Consistency in working of all distributed systems
  5. Disaster recovery

Solution

Event driven design addressed most expected problems in achieving the overall reliability of all services and increasing throughput and parallelism of data manipulations and exchange in the pipeline of complex services.

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Rating Overview


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