Dynatrace

MAY 23, 2022

According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. Hard on DevOps. Limited because of a single programming language.

Architecture 191

Architecture DevOps Monitoring Programming 191

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. The underlying software architecture that supports all this data must be secure, as well.

Design 188

Design Storage Programming Analytics 188

O'Reilly

MAY 19, 2020

These services are also designed to function as gateway drugs to cloud services: e.g., Microsoft integrates its on- and off-premises Excel client experience with its PowerBI cloud analytics service, as well as with its ecosystem of Azure-based advanced analytics and machine learning (ML) services. Take observability , for example.

Cloud 141

Cloud Serverless AWS Architecture 141

Tasktop

APRIL 8, 2021

To illustrate the point, consider this one-on-one conversation that I had with the global CIO of a large financial services company a couple of years ago: CIO: “We have stepped up our Agile transformation efforts to get to 100% Agile by the end of year, and have a large DevOps and cloud transformation happening as well.”.

Innovation 52

Innovation DevOps Analytics Scalability 52