AWS 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.
Altexsoft
FEBRUARY 24, 2023
Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Kentik
FEBRUARY 20, 2023
Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.
RapidValue
MARCH 17, 2019
” Amazon Web Services (AWS) also released Outpost in November of 2018, making it much more cloud friendly. AWS had always been extremely keen on having every app available in their cloud, but it seems their customers have been sending a different message. The rise of the service mesh. This is where the service mesh comes in.
Altexsoft
JULY 4, 2022
Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. The competencies of on-premises and cloud infrastructure engineers wouldn’t differ that much: They both build and maintain systems and networks to run business software and store data.
LogicMonitor
NOVEMBER 16, 2018
Nowadays a user’s experience is likely to be dependent on a variety of microservices and applications, distributed among public cloud and private data center environments. About 90% of cloud apps share data with on-premises applications.) and define SLAs, scheduled downtime, etc. on that service as a whole.
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.
Expert insights. Personalized for you.
53 
Let's personalize your content