DZone

NOVEMBER 17, 2023

For more: Read the Report AIOps applies AI to IT operations, enabling agility, early issue detection, and proactive resolution to maintain service quality. AIOps integrates DataOps and MLOps, enhancing efficiency, collaboration, and transparency.

DevOps 200

DevOps Efficiency Availability Systems 200

DZone

AUGUST 29, 2023

VARMAX-As-A-Service is an MLOps approach for the unification and reuse of statistical models and machine learning models deployment pipelines. But what is VARMAX and statistical models in general and how are they different from machine learning models?

Storage 258

Storage Cloud 258

DZone

SEPTEMBER 25, 2023

VAR-As-A-Service is an MLOps approach for the unification and reuse of statistical models and machine learning models deployment pipelines. The implemented storage is based on MinIO as an AWS S3-compatible object storage service.

Storage 258

Storage AWS Architecture Cloud 258

Percona

DECEMBER 27, 2023

At Percona, we observe a growing trend among companies utilizing Kubernetes as a means to offer services to their teams, fostering expedited software delivery and driving business growth. Declarative GitOps management, with ArgoCD and Flux, is the community way of adding orchestration on top of orchestration.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Adrian Cockcroft

NOVEMBER 26, 2023

This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint. In this session, learn how AWS generative AI services power the FlexZero platform and offer a way to ingest and process carbon data using pre-existing industry standard carbon emission factors and calculations.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

FEBRUARY 23, 2022

Weighing MLOps vs. AIOps. Another trend is weighing MLOps vs. AIOps capabilities. MLOps is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently. With MLOps, data needs to be trained to understand normal behavior and what is anomalous.

Serverless 265

Serverless Infrastructure Innovation DevOps 265

O'Reilly

SEPTEMBER 15, 2021

For our purposes, the “computer industry” was divided into four segments: computer hardware, cloud services and hosting, security, and software. The cloud and containers category includes tools like Docker and Kubernetes, cloud providers like AWS and Microsoft Azure, and disciplines like MLOps.

Azure 145

Azure Social Media Programming AWS 145