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). Initially, companies utilized Kubernetes mainly for running containerized microservices. I’ll never have to touch Puppet.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Existek

JANUARY 27, 2023

Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

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. The Good and the Bad of the SAP Business Intelligence Platform.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

A person who manages a data science or data engineering team—or, for that matter, a DevOps or AIOps practice—functions for all intents and purposes as an interface between her team(s) and the person (also typically a manager) to whom she directly reports. This last point is important. She’s “management,” but she’s still at the front line.

Weak Development Team 124

Weak Development Team Data Technical Review Survey 124

LaunchDarkly

JANUARY 17, 2019

Edith joins the show to discuss how to implement feature flagging, why an intelligent release process can lead to a more scientific predictable environment for software development and many other topics. We have customers like IBM who use us to manage microservices. JM: Logi Analytics is an embedded business intelligence tool.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Azure Data Center 49

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

People can and do use Docker and its ecosystem of tools to support production use cases, too, but Kubernetes has emerged as a preferred platform for orchestrating containers, particularly with respect to microservices architecture. The term “microservices” was at No. DevOps” has climbed 2,537 places since 2016.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Cloudera

JUNE 16, 2022

Application integration and microservices: Real-time integration use cases required applications to have the ability to subscribe to these streams and integrate with downstream systems in real-time. While for a DevOps/app team, the user is primarily interested in the entities associated with their applications.

Data 85

Data Disaster Recovery Analytics Microservices 85