Agile Big Data Load Balancer Microservices 
RapidValue
OCTOBER 12, 2020
Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.
RapidValue
JUNE 30, 2019
In general, we are moving away from a slow, and sluggish world of traditional applications to one which is smarter, faster and more agile. Both traditional and cloud native applications make use of load balancers, but they differ significantly when and where they come in to play. Managing traffic. Elasticity.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
RapidValue
MARCH 17, 2019
It is driven, according to the report, by customer demand for agile, scalable and cost-efficient computing. Microservices are taking the market by storm as companies look to transition from a slow monolithic infrastructure to a much more agile microservice-based structure, allowing them to deploy applications more frequently and reliably.
Altexsoft
JULY 4, 2022
In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. Agile and DevOps methodologies. Most common duties of an infrastructure engineer.
Openxcell
DECEMBER 27, 2021
From the development of business applications to backend development, Python has widened its reign even to AI development, automation, scientific computing, and big data. offers complete load balancing, and its runtime environment follows a cluster module. Highly flexible for microservice development. Python 3.10
Instaclustr
OCTOBER 14, 2019
I attended this talk as I’m from a middleware background, and I’m very interested in trends around microservices and integration. I also knew that Kafka was developed by Linkedin as a scalable pub-sub messaging system , to migrate a complex point to point integration architecture to centralized scalable data pipeline. Kai Waehner.
Instaclustr
OCTOBER 14, 2019
I attended this talk as I’m from a Middleware background, and I’m very interested in trends around microservices and integration. I also knew that Kafka was developed by Linkedin as a scalable pub-sub messaging system , to migrate a complex point to point integration architecture to centralised scalable data pipeline. Kai Waehner.
Expert insights. Personalized for you.
53 
Let's personalize your content