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 Artificial Intelligence 103

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 140

DevOps Software Engineer Data Scientist ML 140

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 110

DevOps Generative AI Automation Software Development 110

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 278

Big Data DevOps Automation Machine Learning 278

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.

DevOps 290

DevOps Software Development Big Data AI 290

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 295

DevOps Software Development Artificial Intelligence Artificial Intelligence 295

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 91

Software Development DevOps 91

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

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 263

DevOps Software Development Automation Metadata 263

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 263

Automation DevOps IDP Software Development 263

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 306

DevOps Automation Software Development Big Data 306

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

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

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

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 110

DevOps Data Analysis Large Language Models Generative AI 110

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 312

Automation AI AI DevOps 312

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

Unite.AI

NOVEMBER 21, 2024

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. As the software development landscape evolves, we are leveraging GenAI to automate those repetitive tasks that can bog teams down.

DevOps 147

DevOps Automation Responsible AI Software Development 147

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

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

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 296

Automation DevOps Software Development Artificial Intelligence 296

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

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.

DevOps 132

DevOps Software Development Big Data AI 132

IBM Journey to AI blog

APRIL 4, 2024

PaaS, or Platform-as-a-Service , is on-demand access to a full-service cloud platform for developing, running and managing applications without the cost, complexity and inflexibility that often come with building and maintaining that platform on-premises. SaaS, or Software-as-a-Service , is on-demand access to ready-to-use software apps (e.g.,

DevOps 305

DevOps Automation Software Development Generative AI 305

IBM Journey to AI blog

DECEMBER 19, 2023

This post expands on the topic and provides a maturity model and building blocks that help enterprises accelerate their software supply chain lifecycle in the ever-evolving landscape of enterprise cloud-native software development. We recommend a 4-stage roadmap for implementation, as shown in the figure below.

Automation 235

Automation DevOps Software Development 235

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

NOVEMBER 2, 2023

Docker ushers in open-source containerization Developed by dotCloud, a Platform-as-a-Service (PaaS) technology company, Docker was released in 2013 as an open-source software tool that allowed online software developers to build, deploy and manage containerized applications.

DevOps 324

DevOps Automation Software Development 324

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

Towards AI

FEBRUARY 10, 2024

Definition of a full-stack data scientist The sibling relationship between data science and software development has led to the borrowing of many concepts from the software development domain into data science practice. Read between the lines Let’s have a look at how a software development team is structured.

Data Scientist 111

Data Scientist Software Development Data Science Machine Learning 111

IBM Journey to AI blog

AUGUST 2, 2023

Fact: All teams need access to the observability data The truth is that all teams— DevOps , SRE, Platform, ITOps and Development—need and deserve access to the data they want with the context of logical and physical dependencies across mobile, web, applications and infrastructure.

DevOps 189

DevOps Software Development Automation 189

Becoming Human

MAY 11, 2023

MLOps projects are projects that focus on implementing machine learning operations best practices into a company’s existing software development and deployment process. DevOps and DataOps: DevOps and DataOps are related approaches that emphasize collaboration between software developers and IT operations teams.

Machine Learning 78

Machine Learning DevOps Software Development Automation 78

Flipboard

NOVEMBER 24, 2023

Moreover, the JuMa infrastructure, which is based on AWS serverless and managed services, helps reduce operational overhead for DevOps teams and allows them to focus on enabling use cases and accelerating AI innovation at BMW Group. Marinus Krommenhoek is a Senior Cloud Solution Architect and a Software Developer at BMW Group.

ML 153

ML DevOps Data Scientist ML Engineer 153

Unite.AI

JANUARY 25, 2024

Application security topics rose by 42%, and DevSecOps – which integrates security practices within the DevOps process – experienced a 30% growth in usage. These trends signal a paradigm shift toward incorporating security throughout the software development lifecycle, rather than treating it as an afterthought.

Prompt Engineer 182

Prompt Engineer Prompt Engineering NLP Generative AI 182

Marktechpost

AUGUST 30, 2024

On top of dealing with complicated documentation and software development kits (SDKs), existing cloud-native database services necessitate even more DevOps to orchestrate individual database instances: schema migrations, connection pooling, versioning across cases, etc.

DevOps 64

DevOps Software Development Automation Artificial Intelligence 64

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.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

Flipboard

AUGUST 21, 2023

Generative AI, ChatGPT, and large language models (LLMs) like GitHub Copilot and other AI code-generation tools are changing software development …

Generative AI 123

Generative AI Large Language Models Software Development ChatGPT 123