Data Microservices Scalability System Architecture 
Tandem
SEPTEMBER 12, 2023
Microservice architecture has been a hot topic in the realm of software development for a while now. It’s often portrayed as a revolutionary method for constructing software systems that are scalable, adaptable, and efficient. However, like any technology, it has its strengths and weaknesses.
CIO
SEPTEMBER 2, 2022
The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.
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CIO
AUGUST 31, 2022
The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.
Mentormate
AUGUST 30, 2021
As time passes, developers often forget or lose the knowledge of certain parts of the system or the internal dependencies, which makes adding new features a slow and painful process, riddled with bugs. The complexity of the codebase limits the team and code scalability and increases the cost of adding new features.
Apiumhub
MARCH 9, 2023
Working with an outsourcing partner can help mitigate the risks associated with your project, such as underestimating timescales and lack of scalability. Apiumhub is a software partner with years of experience applying best practices that help technical teams deliver robust, scalable, and better-performing working software on time.
Crunchbase News
APRIL 9, 2024
Lightbulb moment Most enterprise applications are built like elephants: Giant databases, high CPU machines, an inside data center, blocking architecture, heavy contracts and more. Many data stores have become search engines and vice versa, but in reality they do a poor job of handling anything outside of their core competency.
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. How do I upgrade or evolve microservices?
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