Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.

Microservices 94

Microservices Metrics Systems Review Architecture 94

Altexsoft

AUGUST 21, 2019

While the main responsibility is to take charge of the Extract, Transform, Load stage, an ETL developer performs tasks connected with data analytics, testing, and system architecture. Data warehouse architecture. Provide system architecture for each element and the whole data pipeline. Data modeling.

Development 44

Development Software Engineering Data Engineering Architecture 44

Perficient

JUNE 27, 2024

System Design & Architecture: Solutions are architected leveraging GCP’s scalable and secure infrastructure. Detailed design documents outline the system architecture, ensuring a clear blueprint for development. Applications are integrated with existing systems to ensure compatibility and performance.

Google Cloud 52

Google Cloud Applications Cloud Automotive 52

Altexsoft

JUNE 26, 2019

So that the development team is able to fix the most of usability, bugs, and unexpected issues concerning functionality, system design, business requirements, etc. It’s important to mention that UAT isn’t tailored to reveal technical/design bugs in the existing software, but it doesn’t exclude finding some.

Quality Assurance 85

Quality Assurance Testing Weak Development Team Software Review 85

Instaclustr

MAY 19, 2021

These systems include data warehousing, reporting, operational data storage, single source of truth systems, extract transform load (ETL) systems, application support systems, and much more. Performance numbers, system health, and growth projections are derived from the decomposed data elements.

Database Administration 36

Database Administration Storage Weak Development Team Open Source 36

LeanEssays

JULY 14, 2019

It took some years to evolve to a software architecture that supported such teams, but eventually small, independent services owned by two-pizza teams made up the core of Amazon’s infrastructure. That’s when newly minted internet companies tried to grow systems many times larger than any enterprise could manage.

Software Review 91

Software Review Software Engineering Weak Development Team Continuous Delivery 91

AWS Machine Learning - AI

JANUARY 28, 2025

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications. Haiku and Metas Llama 3.1 70B models.

Artificial Inteligence 68

Artificial Inteligence Generative AI Metrics Applications 68