2017 Agile Microservices Scalability 
Apiumhub
JANUARY 10, 2023
JetBrains has been organizing this event with great success since 2017. Building Scalable Microservices with Ktor and Kafka by Anton Arhipov and Viktor Gamov. You can choose one among the following options: Multiplatform Madness With Compose (Plus Friends) by Garth Gilmour, Kotlin GDE.
Apiumhub
SEPTEMBER 29, 2020
Mark is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems. He works with companies large and small to help them capitalize on the opportunities provided by APIs, Microservices, and Digital Transformation.
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O'Reilly Media - Ideas
MARCH 20, 2019
Organizations that want all of the speed, agility, and savings the cloud provides are embracing a cloud native approach. Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach. These techniques enable loosely coupled systems that are resilient, manageable, and observable.
Bernd Rucker
APRIL 6, 2020
Webinar FAQ for Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation Answering leftover questions from my webinar in March 2020 On Wednesday, March 11, 2020, I conducted the webinar titled “ Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation ”. Why do I do this?—?what
Apiumhub
DECEMBER 20, 2018
Also, as its name suggests, Scala is an acronym of scalable and language, it is designed to grow with the demand. According to Jaxenter , Scala has jumped a whopping 11 positions on the chart since May 2017 to land at #20. Microservices vs Monolithic architecture. At the heart of today’s technologies are programming languages.
d2iq
FEBRUARY 19, 2021
Machine learning engineers are typically responsible for ML models in production environments, dealing with web services, latency, scalability, and handling most of the automation around ML. Unit and integration tests are pretty standard for data pipelines and microservices. Kubernetes (K8s) is an obvious choice.
Trigent
FEBRUARY 20, 2023
While agility and quick releases were on every organization’s wishlist, both seemed difficult due to the rapidly increasing size and complexity of applications. During the times as early as 2017, organizations were using them mainly for their portability. From this very need, containers were born.
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