IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. A burned-out developer is usually an unproductive one.

Generative AI 321

Generative AI DevOps Software Development Auto-complete 321

IBM Journey to AI blog

NOVEMBER 13, 2023

Overview of Kubernetes Containers —lightweight units of software that package code and all its dependencies to run in any environment—form the foundation of Kubernetes and are mission-critical for modern microservices, cloud-native software and DevOps workflows.

DevOps 323

DevOps Software Development Automation Machine Learning 323

AI News

JULY 11, 2024

Software development emerges as the most popular area for AI investment (59%), followed by quality assurance (44%) and DevOps and automation (44%). Investment in AI capabilities is substantial, with 93% of companies spending at least £100,000 in 2024, and 44% allocating £500,000 or more.

Big Data 352

Big Data Software Development DevOps AI 352

IBM Journey to AI blog

SEPTEMBER 17, 2024

It’s also revolutionizing the software development lifecycle (SDLC). And The evolution of the SDLC landscape The software development lifecycle has undergone several silent revolutions in recent decades. We are thrilled to see the impact our solution can have on transforming the software development landscape.

Software Development 122

Software Development Generative AI DevOps Automation 122

O'Reilly Media

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Versioning.

DevOps 145

DevOps Software Engineer Data Scientist ML 145

Marktechpost

NOVEMBER 23, 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 108

DevOps Data Analysis Large Language Models Generative AI 108

AWS Machine Learning Blog

MARCH 27, 2024

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

DevOps 122

DevOps Generative AI Automation Software Development 122

Towards AI

DECEMBER 26, 2024

Source: Image By Author As a Cloud Engineer, Ive recently collaborated with a number of project teams, and my primary contribution to these teams has been to do the DevOps duties required on the GCP Cloud. medium.com Regardless of the project, it might be software development or ML Model building. What are they?

ML 116

ML DevOps Software Development Machine Learning 116

Becoming Human

APRIL 19, 2024

In software development, staying ahead of the curve is vital for businesses that needs to deliver innovative and efficient solutions. The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development.

Software Development 103

Software Development Generative AI DevOps Automation 103

IBM Journey to AI blog

AUGUST 12, 2024

MLOps is a set of practices that combines machine learning (ML) with traditional data engineering and DevOps to create an assembly line for building and running reliable, scalable, efficient ML models. AIOPs enables ITOPs personnel to implement predictive alert handling, strengthen data security and support DevOps processes.

Big Data 266

Big Data DevOps Automation Machine Learning 266

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 105

Software Development DevOps 105

IBM Journey to AI blog

NOVEMBER 13, 2023

Technical debt is a metaphor in software development that refers to the consequences of choosing a quick solution to a problem instead of a more comprehensive and responsible approach. Like financial debt, it represents a trade-off between short-term gains and long-term costs.

DevOps 293

DevOps Automation Software Development Artificial Intelligence 293

SAS Software

APRIL 4, 2025

For software development, one aspect that has remained fairly consistent is the use of Git. Ive worked on many different types of systems, platforms, operating systems, and hardware over the years. Knowing some of the basic, no-nonsense approaches of working with Git has proven extremely valuable, as these approaches tend [.]

Software Development 93

Software Development DevOps 93

IBM Journey to AI blog

FEBRUARY 29, 2024

DevOps: The combination of microservices as an architecture and containers as a platform is a strong pairing and a common foundation for many teams that embrace DevOps and development environments as the way they choose to handle software development.

DevOps 267

DevOps Software Development Artificial Intelligence Artificial Intelligence 267

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 207

DevOps Automation Software Development 207

Unite.AI

JUNE 7, 2023

Can you discuss why enterprises should integrate application security early into the software development life cycle? DevSecOps, also known as “secure devops”, is the mindset that security is integrated throughout the entire SDLC, from requirements to architecture and design, coding, testing, release and deployment.

Software Development 260

Software Development Automation DevOps Machine Learning 260

IBM Journey to AI blog

MARCH 29, 2024

Monitoring and optimizing application performance is important for software developers and enterprises at large. OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. What is OpenTelemetry?

DevOps 243

DevOps Software Development Automation Metadata 243

IBM Journey to AI blog

MARCH 22, 2024

Quality Assurance (QA) is a critical component of the software development lifecycle, aiming to ensure that software products meet specified quality standards before release. QA encompasses a systematic and strategic approach to identifying, preventing and resolving issues throughout the development process.

Automation 241

Automation DevOps IDP Software Development 241

Unite.AI

OCTOBER 18, 2024

This article explores the top internal developer platforms that are improving the way development teams work, deploy applications, and manage their infrastructure. Qovery Qovery stands out as a powerful DevOps Automation Platform that aims to streamline the development process and reduce the need for extensive DevOps hiring.

IDP 162

IDP DevOps Automation Software Development 162

IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Serverless computing allows software developers to devote more attention to the code and business logic specific to their applications.

DevOps 299

DevOps Automation Big Data Software Development 299

Unite.AI

NOVEMBER 17, 2023

AI recommends safer libraries, DevOps methods, and a lot more. Enhanced Static Application Security Testing (SAST) SAST examines source code to find security vulnerabilities without executing the software. As AI evolves in software development, so do the methods of cyber attackers.

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence DevOps Automation 299

Unite.AI

SEPTEMBER 30, 2024

The result will be greater innovation and new benchmarks for speed and quality in software development. AI-powered QA is also becoming central to DevOps. Processes will become more efficient, and collaboration between development and QA teams will improve.

Automation 317

Automation AI AI DevOps 317

Unite.AI

JUNE 19, 2024

MLOps, or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments. ML Operations : Deploy and maintain ML models using established DevOps practices.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

Towards AI

DECEMBER 26, 2024

Source: Image By Author As a Cloud Engineer, Ive recently collaborated with a number of project teams, and my primary contribution to these teams has been to do the DevOps duties required on the GCP Cloud. medium.com Regardless of the project, it might be software development or ML Model building. What are they?

ML 111

ML DevOps Software Development Machine Learning 111

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. SDLC stages Let’s review software development lifecycle first. Then software development phases are planned to deliver the software.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

AI News

JULY 11, 2024

Software development emerges as the most popular area for AI investment (59%), followed by quality assurance (44%) and DevOps and automation (44%). Investment in AI capabilities is substantial, with 93% of companies spending at least £100,000 in 2024, and 44% allocating £500,000 or more.

Big Data 150

Big Data Software Development DevOps AI 150

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 170

Data Science DevOps Machine Learning Data Scientist 170

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 Machine Learning 52

Unite.AI

DECEMBER 7, 2023

Clean Code promotes security, maintainability, and reliability, and can enable developers to anticipate and handle unexpected states more effectively and get the software back up and running quicker. Incorporating AI into the software development life cycle has its benefits, such as enabling developers to work more efficiently.

Software Development 243

Software Development DevOps Explainability AI 243

AWS Machine Learning Blog

MARCH 10, 2025

The use of multiple external cloud providers complicated DevOps, support, and budgeting. Operational consolidation and reliability Post-migration, our DevOps and SRE teams see 20% less maintenance burden and overheads. These operational inefficiencies meant that we had to revisit our solution architecture.

DevOps 112

DevOps Metadata Auto-complete Automation 112

Flipboard

DECEMBER 26, 2023

Software development is currently undergoing a profound transformation, marked by a quiet yet remarkable surge in advanced automation. This impending …

Software Engineer 172

Software Engineer Software Development Automation DevOps 172

AWS Machine Learning Blog

OCTOBER 16, 2024

During her career, she has focused on delivering transformative software development projects for the federal government and large companies in industries as diverse as advertising, entertainment, and finance. His background includes DevOps, security, and designing and architecting enterprise storage solutions.

Machine Learning 89

Machine Learning Data Scientist Deep Learning ML 89

Flipboard

APRIL 21, 2023

A report by GitLab finds that AI and ML in software development workflows show promise, but challenges like toolchain complexity and security concerns persist. The post DevSecOps: AI is reshaping developer roles, but it’s not all smooth sailing appeared first on TechRepublic.

Software Development 171

Software Development ML AI AI 171

The MLOps Blog

JANUARY 23, 2023

Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Lived through the DevOps revolution. Came to ML from software. Founded two successful software services companies. If you’d like a TLDR, here it is: MLOps is an extension of DevOps.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

IBM Journey to AI blog

JANUARY 26, 2024

At Instana, addressing our customers’ needs and creating a simple tool that is easy to use is fundamental to helping our DevOps and SRE teams reduce burnout rates, allowing them to excel in what they do best. You asked, and we delivered!

Automation 271

Automation DevOps Software Development Artificial Intelligence 271

AWS Machine Learning Blog

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. Get hands-on experience with Amazon Q Developer to learn how it can help you understand, build, and operate AWS applications.

ML 109

ML Generative AI AI AI 109

Pickl AI

APRIL 1, 2025

Collaborating with DevOps Teams and Software Developers Cloud Engineers work closely with developers to create, test, and improve applications. Understand DevOps and CI/CD Cloud Engineers often work closely with DevOps teams to ensure smooth deployments.

DevOps 52

DevOps Data Science Automation Big Data 52