Dynatrace

OCTOBER 10, 2023

Additionally, the Site Reliability Guardian serves as the governing entity, making decisions on whether to proceed or halt a specific build based on observable telemetry data supplied by OneAgent during the CI/CD pipeline process. Embracing the tenets of DevOps and DevSecOps methodologies anchored in engineering principles.

Engineering 215

Engineering DevOps Innovation Strategy 215

Dynatrace

JUNE 29, 2022

Accordingly, these platforms provide a unified, consistent DevOps and IT experience. This orchestration layer uses software-based tools to automate IT tasks and manage resources—virtualized or other. An orchestration tool can create a new virtual machine instance and determine the best location in the cloud for deploying that instance.

Infrastructure 172

Infrastructure Cloud Azure AWS 172

Scalegrid

MARCH 14, 2024

On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 5, 2021

Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. Consider using virtual machines or specialized frameworks for these types of tasks.

Azure 135

Azure Serverless IoT Lambda 135

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Additionally, typical SOA models use larger relational databases. In contrast, microservices typically uses NoSQL or a type of micro-SQL database.

Architecture 189

Architecture Serverless Azure Programming 189

The Morning Paper

FEBRUARY 18, 2020

Taking a step back, EGML systems need support in three main areas: model development/training, model scoring (inference) and model management/governance. " Training in the cloud and the need for much better governance are both pretty uncontroversial directions. Three big bets. Will we like them more than we like stored procedures?

Government 95

Government Software Engineering Storage Database 95