About Our Engineering Services
Building reliable, scalable software systems requires disciplined engineering practices and deep technical expertise. Entralogic Systems' engineering team delivers production-grade infrastructure, automated delivery pipelines, and quality assurance that ensure your software ships fast and runs flawlessly.
From DevOps transformation and CI/CD implementation to embedded systems and data pipeline engineering, we bring the engineering rigor that turns good ideas into bulletproof production systems.
What We Deliver
DevOps & CI/CD Pipelines
We design and implement end-to-end DevOps practices and CI/CD pipelines that accelerate your software delivery lifecycle. Our DevOps engineers build automated build, test, and deployment pipelines using tools like Azure DevOps, GitHub Actions, Jenkins, GitLab CI, ArgoCD, and Terraform. We implement infrastructure-as-code, container orchestration (Kubernetes, Docker), environment management, and release strategies (blue-green, canary, rolling) that enable your teams to deploy multiple times per day with confidence and zero downtime.
Quality Assurance & Testing
Our QA engineers build comprehensive testing strategies that cover every layer of your application stack. We implement automated testing frameworks for unit, integration, API, UI/E2E, performance, security, and accessibility testing. Our test automation engineers use tools like Selenium, Playwright, Cypress, JMeter, k6, and Postman to build maintainable test suites that run in your CI/CD pipeline — catching bugs early and ensuring every release meets your quality bar before reaching production.
Embedded Systems Development
We develop firmware and software for embedded systems, IoT devices, and edge computing platforms. Our embedded engineers work with microcontrollers (ARM, RISC-V), real-time operating systems (FreeRTOS, Zephyr), communication protocols (MQTT, BLE, Zigbee, LoRaWAN), and edge AI frameworks to build reliable, low-power, and secure embedded solutions. From industrial sensors to medical devices and automotive ECUs, we deliver embedded software that performs under the most demanding conditions.
Data Pipeline Engineering
We build robust, scalable data pipelines that collect, transform, validate, and deliver data from diverse sources to your analytics and ML platforms. Our data engineers design both batch and real-time streaming architectures using Apache Spark, Kafka, Airflow, dbt, Flink, and cloud-native services (Azure Data Factory, AWS Glue, GCP Dataflow). We implement data quality checks, schema evolution, error handling, and monitoring — ensuring your data is always reliable, fresh, and ready for analysis.