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 197

DevOps Automation 197

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 248

Automation DevOps 248

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 177

Automation DevOps Explainability Machine Learning 177

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 178

DevOps Automation Software Development 178

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 238

Automation DevOps 238

IBM Journey to AI blog

MAY 31, 2023

In this blog post, we will look at the frequently overlooked phenomenon of connected products and how enterprises are using them to their advantage. As we have described in previous blogs in this series, IBM Edge Application Manager (IEAM) is best suited to deploy and manage applications on edge devices and far edge devices.

DevOps 243

DevOps Robotics Automation 243

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 78

Software Development DevOps 78

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

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. appeared first on IBM Blog. IBM® NS1 Connect®’s powerful Filter Chain [GG1] technology optimizes DNS routing decisions based on specific use cases.

DevOps 255

DevOps Explainability Automation 255

IBM Journey to AI blog

JUNE 26, 2023

In this blog post, we’ll look beyond the basics like root cause analysis and anomaly detection and examine six strategic use cases for AIOps. To address this waste, consider implementing FinOps (Finance + DevOps). Learn more about IBM AIOps solutions The post The six strategic uses cases for AIOps appeared first on IBM Blog.

DevOps 139

DevOps Automation Natural Language Processing Artificial Intelligence 139

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. The post 4 questions to consider when you’re selecting an external DNS provider appeared first on IBM Blog. Then they discover that there’s another audience: developers.

DevOps 242

DevOps Automation 242

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. I developed my very first web… Read the full blog for free on Medium. Last Updated on July 20, 2023 by Editorial Team Author(s): Michelangiolo Mazzeschi Originally published on Towards AI.

DevOps 92

DevOps Explainability AI AI 92

IBM Journey to AI blog

OCTOBER 24, 2023

Proven FinOps success: three case studies The below three case studies showcase the success of IBM Consulting’s FinOps methods: An American manufacturer needed optimization for multi-cloud environment and DevOps activities. They began in the initial stages of the FinOps journey and maturity.

DevOps 208

DevOps Automation 208

IBM Journey to AI blog

JUNE 26, 2023

Across the 30+ episodes published so far, three themes have emerged that appeared to come up: Research , which I covered in the previous blog Journey to Cloud , which I will cover here Life Stories , which I will leave for the next blog post Theme: Journey to Cloud Cloud computing has impacted the IT industry like few other technologies.

DevOps 155

DevOps Explainability Automation AI 155

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 143

Data Science DevOps Machine Learning Data Scientist 143

IBM Journey to AI blog

DECEMBER 13, 2023

Read the blog: How generative AI is transforming customer service Customer service types that organizations should prioritize By offering different types of customer service and several customer support channels, organizations demonstrate they are investing in customer care.

Chatbots 202

Chatbots Generative AI DevOps Conversational AI 202

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 87

DevOps Generative AI Automation Software Development 87

IBM Journey to AI blog

NOVEMBER 14, 2023

It combines the power of the z-Mod stack with secure DevOps practices, creating a seamless and efficient development process. Get to know Wazi as a Service The post An introduction to Wazi as a Service appeared first on IBM Blog.

DevOps 254

DevOps Automation Data Integration Generative AI 254

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 134

DevOps 134

IBM Journey to AI blog

JANUARY 11, 2024

And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. The post Modernizing mainframe applications with a boost from generative AI appeared first on IBM Blog. No AI bots were used to write this content.

Generative AI 270

Generative AI AI AI DevOps 270

IBM Journey to AI blog

JULY 11, 2023

With IBM, all teams, including Product Owners, Developers, DevOps, SRE, CloudOps and ITOps, get access to the data they need in the context that matters to them. Learn more about IBM Instana Business Monitoring The post Bringing observability to business appeared first on IBM Blog. Watch the demo.

DevOps 158

DevOps Automation 158

IBM Journey to AI blog

FEBRUARY 13, 2024

Meanwhile, Instana’s fully automated real-time observability platform provides continuous high-fidelity data and end-to-end traces, empowering DevOps, SRE, platform engineers, IT Ops and development to access the data they need with contextual insights.

Automation 179

Automation DevOps Machine Learning Algorithm 179

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. He holds the AWS AI/ML Specialty certification and authors technical blogs on AI/ML services and solutions.

Data Science 109

Data Science Data Drift DevOps Auto-complete 109

IBM Journey to AI blog

AUGUST 2, 2023

In our first blog post in this series on debunking observability myths, we focused on the myth that “ You can skip monitoring and rely solely on logs.” Stay tuned for our next blog post, where we debunk another common myth: Observability is only useful for large-scale systems or complex architectures. Why is this a myth?

DevOps 149

DevOps Software Development Automation 149

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

IBM Journey to AI blog

FEBRUARY 15, 2024

In this blog, we discuss how Kubernetes observability works, and how organizations can use it to optimize cloud-native IT architectures. In DevOps , the concept of observability has evolved to refer to the end-to-end visibility of a system state as dictated by telemetry data. How does observability work?

Automation 183

Automation DevOps 183

IBM Journey to AI blog

JUNE 2, 2023

They led the modernization and migration of 29 user-facing applications, developing standardized DevOps, technology, and quality-assurance processes while modernizing and migrating three legacy applications to AWS by Q1 2023. In 2022, IBM Consulting leveraged AIMM and worked with another major U.S. city agency serving 19M citizens.

Auto-complete 218

Auto-complete DevOps Automation Knowledge Model 218

IBM Journey to AI blog

SEPTEMBER 19, 2023

DevOps , SRE , Platform, I TOps, and developer teams are all under pressure to keep applications performant while operating faster and smarter than ever. Learn more about IBM Instana The post Buying APM was a good decision (so is getting rid of it) appeared first on IBM Blog.

Automation 218

Automation DevOps Artificial Intelligence Artificial Intelligence 218

IBM Journey to AI blog

NOVEMBER 24, 2023

Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on. The post Application modernization overview appeared first on IBM Blog.

Generative AI 247

Generative AI Auto-complete DevOps Automation 247

IBM Journey to AI blog

JUNE 20, 2023

Seamlessly integrate with standard (Git) enterprise-wide CI/CD toolchains or with DevOps platforms of our partners. Learn more about the IBM Z and Cloud Modernization Stack The post Building a unified developer experience for z/OS and cloud applications with the IBM Z and Cloud Modernization Stack appeared first on IBM Blog.

DevOps 198

DevOps Python Automation Artificial Intelligence 198

IBM Journey to AI blog

JANUARY 15, 2024

Low-code helps the DevOps team by simplifying some aspects of coding and no-code can introduce non-developers into the development process. Explore IBM’s strategy-focused business consulting services The post Unlocking value: Top digital transformation trends appeared first on IBM Blog.

Automation 192

Automation Machine Learning DevOps Artificial Intelligence 192

Pickl AI

JANUARY 30, 2023

In this blog, we are going to explore details about a career in Python and what are the new Python jobs for freshers. If you have been wondering how to learn Python , this segment of the blog will take you through some of the steps to excel in Python. Hence making a career in Python can open up several new opportunities.

Python 97

Python DevOps Machine Learning Automation 97

IBM Journey to AI blog

MAY 12, 2023

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services. IBM Consulting™ helped the customer modernize its architecture for a heavily used business-to-business conversational AI app.

DevOps 201

DevOps Conversational AI Automation AI 201

IBM Journey to AI blog

DECEMBER 19, 2023

Such capabilities could allow product teams to execute such automation in a self-service model or via DevOps pipelines and identify compliance posture, along with capturing review evidence automatically. The maturity level increases when evidence capture is executed automatically and the review is in a completely hands-free mode.

Automation 204

Automation DevOps Software Development 204

The MLOps Blog

JANUARY 23, 2023

Lived through the DevOps revolution. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. Model monitoring tools will merge with the DevOps monitoring stack. Not a fork.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

AWS Machine Learning Blog

FEBRUARY 27, 2024

Pavel Maslov is a Senior DevOps and ML engineer in the Analytic Platforms team. Pavel has extensive experience in the development of frameworks, infrastructure, and tools in the domains of DevOps and ML/AI on the AWS platform. He is committed to building more streamlined machine learning pipelines, enhancing efficiency and scalability.

Machine Learning 111

Machine Learning DevOps Data Quality Data Scientist 111

IBM Journey to AI blog

OCTOBER 25, 2023

It can also aid in platform engineering, for example by generating DevOps pipelines and middleware automation scripts. Request an AI strategy briefing The post What CIOs and CTOs should consider before adopting generative AI for application modernization appeared first on IBM Blog.

Generative AI 223

Generative AI Automation AI AI 223