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 249

DevOps Data Science Machine Learning 249

IBM Journey to AI blog

JUNE 12, 2023

This requires a careful, segregated network deployment process into various “functional layers” of DevOps functionality that, when executed in the correct order, provides a complete automated deployment that aligns closely with the IT DevOps capabilities. appeared first on IBM Blog.

DevOps 174

DevOps Automation Metadata 174

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 94

DevOps LLM Large Language Models AI 94

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

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 316

DevOps Automation Software Development AI 316

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

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?

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DevOps Data Science Machine Learning 255

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 173

DevOps Automation 173

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 326

ML DevOps Data Science Python 326

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 319

Explainability DevOps Data Science 319

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 353

Python DevOps Automation Data Science 353

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 […].

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DevOps Data Science 284

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 277

Machine Learning DevOps Data Science 277

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 248

DevOps Software Development Machine Learning Deep Learning 248

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 323

Machine Learning DevOps Data Science ML 323

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 357

DevOps Data Science Machine Learning 357

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.

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DevOps Automation 193

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 165

DevOps Software Engineer 165

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 107

DevOps Data Science 107

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

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 77

Software Development DevOps 77

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

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.

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DevOps Automation Software Development 174

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 234

Automation DevOps 234

AWS Machine Learning Blog

MARCH 27, 2024

Although much of the focus around analysis of DevOps is on distributed and cloud technologies, the mainframe still maintains a unique and powerful position, and it can use the DORA 4 metrics to further its reputation as the engine of commerce. Using a Git-based SCM pulls these insight together seamlessly.

DevOps 86

DevOps Generative AI Automation Software Development 86

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.

Automation 243

Automation DevOps 243

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 62

DevOps 62

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 173

Automation DevOps Explainability Machine Learning 173

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.

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DevOps Automation Natural Language Processing Artificial Intelligence 136

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 90

DevOps Explainability AI AI 90

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 140

Data Science DevOps Machine Learning Data Scientist 140

IBM Journey to AI blog

FEBRUARY 28, 2024

Infrastructure as code : Today’s networks are driven by DevOps, edge computingand serverless architectures, which require an API-first approach to infrastructure. IBM® NS1 Connect®’s powerful Filter Chain [GG1] technology optimizes DNS routing decisions based on specific use cases.

DevOps 251

DevOps Explainability Automation 251

AWS Machine Learning Blog

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice.

Data Science 107

Data Science Data Drift DevOps Auto-complete 107

IBM Journey to AI blog

FEBRUARY 2, 2024

Today’s networks are driven by DevOps, edge computing, and serverless architectures, all of which require an API-first approach to infrastructure. Most organizations start using a managed DNS solution to improve the experience of customers and end-users. Then they discover that there’s another audience: developers.

DevOps 237

DevOps Automation 237

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 131

DevOps 131

Heartbeat

FEBRUARY 1, 2023

Comparing MLOps and DevOps DevOps is a software development method that brings together multiple teams to organize and conspire to create more efficient and reliable products. One thing that DevOps and MLOps have in common is that they both emphasize process automation. Learn more lessons from the field with Comet experts.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96