Big Data Internet Load Balancer Microservices 
Kentik
MARCH 13, 2018
Hyperscale data centers are true marvels of the age of analytics, enabling a new era of cloud-scale computing that leverages Big Data, machine learning, cognitive computing and artificial intelligence. It is also critical that operators be able to gain visibility into application dependencies external to the data center.
Kentik
FEBRUARY 20, 2023
Cloud networking is the IT infrastructure necessary to host or interact with applications and services in public or private clouds, typically via the internet. For example, a particular microservice might be hosted on AWS for better serverless performance but sends sampled data to a larger Azure data lake.
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Altexsoft
DECEMBER 14, 2022
delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. Then deploy the containers and load balance them to see the performance.
Confluent
OCTOBER 10, 2019
The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. HTTP(S) Proxy is push based.
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
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