Analytics Vidhya

APRIL 17, 2021

MLOps is the intersection of Machine Learning, DevOps and Data. The post Bring DevOps To Data Science With MLOps appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

DevOps 368

DevOps Data Science Machine Learning Python 368

Analytics Vidhya

JANUARY 25, 2022

Introduction In this article, we will be going through two concepts MLOps and DevOps. As you might be aware in DevOps we try to bring together […]. The post MLOps vs DevOps: Let’s Understand the Differences? We will first try to get through their basics and then we will explore the differences between them.

DevOps 259

DevOps Data Science Machine Learning 259

Flipboard

FEBRUARY 24, 2023

As indicated in my prior blogs Optimizing Cloud Costs for DevOps With AI-Assisted Kubernetes and Optimizing Cloud Costs for DevOps With AI-Assisted Orchestration, an AI-assisted Kubernetes orchestrator is needed to optimize cloud costs for DevOps, DevSecOps and SRE.

DevOps 95

DevOps AI AI 95

Marktechpost

APRIL 11, 2024

If you’re an LLM, you need Keywords AI’s unified DevOps platform. The post Meet Keywords AI: A Unified DevOps Platform to Build AI Applications appeared first on MarkTechPost. Key Takeaways The potential of LLM applications is enormous, but creating them is challenging.

DevOps 111

DevOps LLM Large Language Models AI 111

Marktechpost

MAY 20, 2024

The post Bisheng: An Open-Source LLM DevOps Platform Revolutionizing LLM Application Development appeared first on MarkTechPost. By providing tools for both novices and experts and ensuring reliability and scalability for enterprise use, Bisheng is poised to play a significant role in the future of intelligent application development.

DevOps 110

DevOps LLM Large Language Models Data Quality 110

IBM Journey to AI blog

SEPTEMBER 5, 2023

DevOps, open source and the mainframe Open-source software and DevOps share a common philosophy and technical underpinnings. DevOps is a mindset, a culture and a set of technical practices that foster better communication and collaboration across the software lifecycle. The key to this deep relationship? Open-source software.

DevOps 334

DevOps Automation Software Development AI 334

Pickl AI

APRIL 17, 2023

How can a DevOps team take advantage of Artificial Intelligence (AI)? DevOps is mainly the practice of combining different teams including development and operations teams to make improvements in the software delivery processes. So now, how can a DevOps team take advantage of Artificial Intelligence (AI)?

DevOps 52

DevOps Artificial Intelligence Artificial Intelligence Automation 52

Analytics Vidhya

JUNE 13, 2024

LangSmith is a new cutting-edge DevOps platform designed to develop, collaborate, test, deploy, and monitor LLM applications. Introduction With the advancements in Artificial Intelligence, developing and deploying large language model (LLM) applications has become increasingly complex and demanding.

DevOps 286

DevOps Large Language Models LLM Artificial Intelligence 286

Analytics Vidhya

OCTOBER 2, 2022

Many persons have barely finished digesting the meaning of DevOps, and here come a new term, MLOps. But, those who understand the meaning of the older term DevOps are on the safe side. So, if you know what’s DevOps and you […]. This article was published as a part of the Data Science Blogathon. Introduction MLOps?

DevOps 264

DevOps Data Science Machine Learning 264

IBM Journey to AI blog

JANUARY 10, 2024

Traditionally, applications and their hosting infrastructure align with DevOps and CloudOps. Typically, DevOps initiates requests, scrutinized by CloudOps, NetOps, SecOps and FinOps teams. However, rising costs due to diverse IT environments led to the emergence of FinOps, focusing on expense monitoring and control.

DevOps 222

DevOps Automation 222

Analytics Vidhya

JUNE 7, 2022

Introduction on Dockerfile This article contains about Dockerfile that we are commonly using in DevOps Engineering. DevOps is nothing but it is a set of practices that ensures systems development life cycle and provides continuous delivery with high software quality, that combines software […].

Explainability 336

Explainability DevOps Data Science 336

Analytics Vidhya

MAY 30, 2022

Docker is a DevOps tool and is very popular in the DevOps and MLOPS world. This article was published as a part of the Data Science Blogathon. Introduction on Docker Docker is everywhere in the world of the software industry today. The post A Complete Guide for Deploying ML Models in Docker appeared first on Analytics Vidhya.

ML 342

ML DevOps Data Science Python 342

Analytics Vidhya

MAY 21, 2022

Introduction on Docker Containers Networking The concept of DevOps culture in an IT-driven organization seeks to bring synergy between the development part of the application and operations. Docker is one of the critical tools being used by the DevOps community for providing complete […].

DevOps 303

DevOps Data Science 303

Analytics Vidhya

MARCH 2, 2023

And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python.

Python 367

Python DevOps Automation Data Science 367

Analytics Vidhya

MARCH 21, 2022

Introduction I believe all you’re familiar with the terminology DevOps for these many years, this is the complete culture and process life cycle of CI/CD. This article was published as a part of the Data Science Blogathon.

Machine Learning 292

Machine Learning DevOps Data Science 292

Analytics Vidhya

FEBRUARY 2, 2022

Table of contents Overview Traditional Software development Life Cycle Waterfall Model Agile Model DevOps Challenges in ML models Understanding MLOps Data Engineering Machine Learning DevOps Endnotes Overview: MLOps According to research by deeplearning.ai, only 2% of the companies using Machine Learning, Deep learning have […].

DevOps 259

DevOps Software Development Machine Learning Deep Learning 259

Analytics Vidhya

NOVEMBER 23, 2020

Introduction This article outlines the motivation behind MLOps, its relation to DevOps, The post MLOps – the Why and the What appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

DevOps 371

DevOps Data Science Machine Learning 371

Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon ML + DevOps + Data Engineer = MLOPs Origins MLOps originated. The post DeepDive into the Emerging concpet of Machine Learning Operations or MLOPs appeared first on Analytics Vidhya.

Machine Learning 331

Machine Learning DevOps Data Science ML 331

IBM Journey to AI blog

FEBRUARY 22, 2024

They upskilled 3,000 software engineers for DevOps and cloud-native technologies. With a co-created custom curriculum that is designed to supplement their standard DevOps and cloud native offerings to ensure the content aligned with the client’s new technology stack.

DevOps 224

DevOps Software Engineer 224

IBM Journey to AI blog

OCTOBER 16, 2023

They have become more important as organizations embrace modern development techniques such as microservices, serverless and DevOps, all of which utilize regular code deployments in small increments. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

DevOps 229

DevOps Automation 229

IBM Journey to AI blog

MAY 17, 2024

It identifies the technologies and internal knowledge that an organization has, how suited its culture is to embrace managed services, the experience of its DevOps team, the initiatives it can begin to migrate to cloud and more. A DevOps practice is being developed, bringing together cloud engineers and developer groups.

DevOps 316

DevOps Automation AI AI 316

SAS Software

FEBRUARY 3, 2023

Between Devops, DataOps, MLOps, and ModelOps, there are different Ops based on different environments. Learning about DevOps DevOps or Developer Operations refers to applying agile [.] Ops’ generally is the shortened version of Operations. Check out some of the different Ops in our current technological world.

DevOps 109

DevOps Data Science 109

Analytics Vidhya

MAY 21, 2022

Introduction on Docker Containers Networking The concept of DevOps culture in an IT-driven organization seeks to bring synergy between the development part of the application and operations. Docker is one of the critical tools being used by the DevOps community for providing complete […].

DevOps 143

DevOps Data Science 143

IBM Journey to AI blog

DECEMBER 19, 2023

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations). Patterns (on paper) only as prescriptive guidance.

DevOps 222

DevOps Automation Software Development 222

databricks

APRIL 28, 2023

Databricks Delta Live Tables (DLT) radically simplifies the development of the robust data processing pipelines by decreasing the amount of code that data.

Software Development 75

Software Development DevOps 75

databricks

SEPTEMBER 13, 2023

The opportunity for machine learning and AI in manufacturing is immense. From better alignment of production with consumer demand to improved process control.

DevOps 58

DevOps Machine Learning AI AI 58

Flipboard

MARCH 27, 2023

Devops teams build their infrastructure as code, automate deployments with continuous integration/continuous delivery (CI/CD), and establish …

DevOps 138

DevOps Automation Big Data Machine Learning 138

IBM Journey to AI blog

OCTOBER 3, 2023

Going beyond traditional APM solutions, IBM Instana extends observability to all teams, so anyone across DevOps , SRE , platform engineering, ITOps and development can get the data they want with the context they need. You’ll find automated full-stack visibility, one-second granularity and three seconds to notify.

Automation 264

Automation DevOps 264

IBM Journey to AI blog

JUNE 26, 2023

To address this waste, consider implementing FinOps (Finance + DevOps). Improve CI/CD pipelines The continuous integration/continuous delivery pipeline—commonly referred to as the CI/CD pipeline —is an agile DevOps workflow focused on a frequent and reliable software delivery process.

DevOps 187

DevOps Automation Natural Language Processing Artificial Intelligence 187

IBM Journey to AI blog

SEPTEMBER 12, 2023

In today’s complex and dynamic environments, traditional manual approaches fall short in delivering the agility, accuracy and scalability demanded by site reliability engineering (SRE) and DevOps practices.

Automation 222

Automation DevOps Explainability Machine Learning 222

Marktechpost

JUNE 25, 2024

Gemini for DevOps Engineers This course teaches engineers to use Gemini to manage infrastructure. You will learn to prompt Gemini for application logs, create a GKE cluster, and explore build environments, with hands-on labs enhancing the DevOps workflow.

DevOps 111

DevOps Data Analysis Large Language Models Generative AI 111

IBM Journey to AI blog

AUGUST 11, 2023

The paper suggested creating a systematic “MLOps” process that incorporated CI/CD methodology commonly used in DevOps to essentially create an assembly line for each step. MLOps vs. DevOps DevOps is the process of delivering software by combining and automating the work of software development and IT operations teams.

Data Science 188

Data Science DevOps Machine Learning Data Scientist 188

IBM Journey to AI blog

MARCH 15, 2024

Co-creation with IBM Garage™: Ideate, build, measure, iterate and scale solutions seamlessly with our end-to-end framework of design thinking, agile and DevOps practices. Day 2 operations: Drive consistency in cloud operations in a vendor agnostic manner, regardless of choices in cloud providers or landing zones.

DevOps 298

DevOps Automation 298

SAS Software

JULY 3, 2023

A close look at the first of five DevOps ideals in Gene Kim's book, “The Unicorn Project." The post FINE flow analytics: locality and simplicity eat centrality and complexity for breakfast appeared first on SAS Blogs.

DevOps 64

DevOps 64

Towards AI

JULY 20, 2023

Why I should have opted for Visual Studio Code for DevOps Visual Studio 2019 is one of the best tools on the market for building applications. Last Updated on July 20, 2023 by Editorial Team Author(s): Michelangiolo Mazzeschi Originally published on Towards AI.

DevOps 94

DevOps Explainability AI AI 94

IBM Journey to AI blog

JULY 31, 2023

Read the Garanti BBVA case study Improving customer experience at DevOps speed Banks compete on their ability to deliver innovative new applications and service offerings to customers, so agile devtest teams are constantly contributing software features. But wait, almost every one of these new features will eventually touch the mainframe.

DevOps 185

DevOps 185

Marktechpost

JUNE 20, 2024

By integrating with popular git platforms like GitHub, GitLab, Bitbucket, and Azure DevOps, PR-Agent aims to streamline and enhance the pull request workflow. It offers features such as automatic description generation, review feedback, code improvement suggestions, and more.

Automation 105

Automation DevOps AI AI 105