Unite.AI

FEBRUARY 5, 2025

The fresh capital will accelerate Astra Securitys mission to redefine penetration testing ( pentesting ) through AI-powered solutions, helping businesses stay ahead of evolving cyber threats. With AI enabling faster code deployment, the attack surface for cybercriminals continues to expand.

DevOps 147

DevOps Automation AI AI 147

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 333

DevOps Automation Software Development AI 333

IBM Journey to AI blog

OCTOBER 3, 2023

Together, IBM Instana and IBM Turbonomic provide real-time observability and control that everyone and anyone can use, with hybrid cloud resource and cost optimization so you can safely automate to unlock elasticity without compromising performance. Ops teams can automate optimization to assure app performance at the lowest cost.

Automation 259

Automation DevOps 259

IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). However, they differ fundamentally in their purpose and level of specialization in AI and ML environments.

Big Data 266

Big Data DevOps Automation Machine Learning 266

IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

DevOps 323

DevOps Software Development Automation Machine Learning 323

IBM Journey to AI blog

SEPTEMBER 12, 2023

The notion that you can create an observable system without observability-driven automation is a myth because it underestimates the vital role observability-driven automation plays in modern IT operations. Why is this a myth? Reduced human error: Manual observation introduces a higher risk of human error.

Automation 206

Automation DevOps Machine Learning Explainability 206

AWS Machine Learning Blog

MARCH 27, 2024

This is achieved through practices like infrastructure as code (IaC) for deployments, automated testing, application observability, and complete application lifecycle ownership. This blog post discusses how BMC Software added AWS Generative AI capabilities to its product BMC AMI zAdviser Enterprise.

DevOps 123

DevOps Generative AI Automation Software Development 123

Marktechpost

DECEMBER 18, 2024

The role of artificial intelligence (AI) in reshaping the business landscape is undeniable. AI-powered tools have become indispensable for automating tasks, boosting productivity, and improving decision-making. Kite Kite is an AI-driven coding assistant specifically designed to accelerate development in Python and JavaScript.

Software Development 104

Software Development AI Tools DevOps Machine Learning 104

Unite.AI

SEPTEMBER 30, 2024

As AI takes center stage, AI quality assurance can empower teams to deliver higher-quality software faster. This article explains how AI in quality assurance streamlines software testing while improving product performance. What is AI-powered Quality Assurance?

Automation 317

Automation AI AI DevOps 317

IBM Journey to AI blog

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

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Generative AI DevOps Automation Neural Network 292

IBM Journey to AI blog

OCTOBER 13, 2023

Automatic and continuous discovery of application components One of Instana’s key advantages is its fully automated and continuous discovery of application components. AI-driven root cause analysis Instana leverages artificial intelligence (AI) and machine learning algorithms to provide accurate and intelligent root cause analysis.

DevOps 287

DevOps Automation Machine Learning Algorithm 287

Unite.AI

FEBRUARY 7, 2025

AI is indeed changing the way we work, and nowhere is that more obvious than in the world of the gig economy. Freelancers have always been known for their flexibility in adapting to new trends, but now, AI has come on the scene as a powerful technology that freelancers must embrace to stay ahead. The answer might surprise you.

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AI Tools Automation AI AI 124

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. The model’s five stages revolve around the organization’s level of security automation.

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DevOps Automation AI AI 300

IBM Journey to AI blog

AUGUST 28, 2023

If you’re ready to expand—or even start—your automation and AIOps strategy, you’ve come to the right place. The case for infusing artificial intelligence (AI) into your IT operations is compelling, with tangible benefits and strategic use cases. Watch the video: APM vs. Observability. Read the Enterprise Guide.

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Automation DevOps Algorithm Artificial Intelligence 180

IBM Journey to AI blog

MARCH 22, 2024

However, various challenges arise in the QA domain that affect test case inventory, test case automation and defect volume. Test case automation, while beneficial, can pose challenges in terms of selecting appropriate cases, safeguarding proper maintenance and achieving comprehensive coverage.

Automation 241

Automation DevOps IDP Software Development 241

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.

DevOps 144

DevOps Software Engineer Data Scientist ML 144

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. When AIs are trained with content found on the internet, they may often provide convincing and believable dialogss, but not fully accurate responses.

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Generative AI DevOps AI AI 307

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 222

DevOps Automation 222

IBM Journey to AI blog

MARCH 15, 2024

These improvements are further underscored by the solution’s automated discovery of dead code or unreachable code and its ability to identify microservices in potential target states. Cloud services configuration: Automate the build-out and configuration of the cloud platform and the required cloud services for application workloads.

DevOps 284

DevOps Automation 284

IBM Journey to AI blog

JANUARY 10, 2024

This helps with continuous business support through applications automating essential workflows. Traditionally, applications and their hosting infrastructure align with DevOps and CloudOps. Typically, DevOps initiates requests, scrutinized by CloudOps, NetOps, SecOps and FinOps teams.

DevOps 206

DevOps Automation 206

Unite.AI

NOVEMBER 28, 2023

Despite being in its infancy, artificial intelligence (AI) is already irrevocably impacting the IT industry and the way people across teams. On the one hand, tech pros feel a need to act with urgency to implement AI-powered solutions to enjoy the benefits of increased productivity and efficiency.

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DevOps Natural Language Processing AI AI 277

IBM Journey to AI blog

OCTOBER 17, 2023

Introducing the SAP Business Technology Platform The SAP Business Technology Platform (BTP) is a technological innovation platform designed for SAP applications to combine data and analytics, AI, application development, automation and integration into a single, cohesive ecosystem. Why SAP BTP + IBM Instana?

DevOps 231

DevOps Auto-complete Automation Python 231

Flipboard

FEBRUARY 10, 2025

AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, and more than half plan to use them in the next year.

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LLM AI AI Python 158

Marktechpost

MAY 20, 2024

The platform aims to support various application forms, including process automation and search functionalities, to meet the evolving needs of enterprise scenarios. The post Bisheng: An Open-Source LLM DevOps Platform Revolutionizing LLM Application Development appeared first on MarkTechPost.

DevOps 108

DevOps LLM Large Language Models Data Quality 108

IBM Journey to AI blog

MAY 18, 2023

It’s also an evolution from the current “fat pipes” method (which doesn’t differentiate between applications) to one that aligns the network to the needs of the business, its users, and its developers, their CI/CD pipeline and DevOps cycles.

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DevOps Automation 237

Artificial Corner

MARCH 6, 2025

This phrase has been making the rounds in online forums as AI coding assistants have become surprisingly capable over the past two years. And while we all recognize that AI can write code far faster than any human, the real question is: How good is the code it produces? Is AI Replacing Programmers? Hype or Reality?

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Software Engineer AI AI DevOps 82

AWS Machine Learning Blog

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

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DevOps Generative AI Python Automation 131

Unite.AI

NOVEMBER 17, 2023

Integrating AI into the app development lifecycle can significantly enhance security measures. From the design and planning stages, AI can help anticipate potential security flaws. During the coding and testing phases, AI algorithms can detect vulnerabilities that human developers might miss.

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Artificial Intelligence Artificial Intelligence DevOps Automation 299

IBM Journey to AI blog

MARCH 28, 2024

Serverless simplifies development and supports DevOps practices by allowing developers to spend less time defining the infrastructure required to integrate, test, deliver and deploy code builds into production. Automation: Cloud automation tools run on top of virtual environments and speed tasks (e.g.,

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DevOps Automation Generative AI Artificial Intelligence 298

AWS Machine Learning Blog

JANUARY 13, 2025

MuleSoft from Salesforce provides the Anypoint platform that gives IT the tools to automate everything. This includes integrating data and systems and automating workflows and processes, and the creation of incredible digital experiencesall on a single, user-friendly platform. Every organization has unique needs when it comes to AI.

DevOps 107

DevOps Generative AI Automation Data Scientist 107

IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. Organizations that have mastered hybrid cloud are well positioned to implement generative AI across the organization.

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Generative AI Automation ESG AI 243

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. Let us explore the Generative AI possibilities across these lifecycle areas.

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Generative AI Auto-complete DevOps Automation 284

IBM Journey to AI blog

DECEMBER 11, 2023

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. microservices ) and uses a container orchestration platform (e.g.,

DevOps 308

DevOps Automation Generative AI Big Data 308

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 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. As businesses across industries increasingly embrace AI and ML to gain a competitive edge, the demand for MLOps Engineers has skyrocketed.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

IBM Journey to AI blog

JUNE 26, 2023

By infusing artificial intelligence (AI) into IT operations , you can leverage the considerable power of natural language processing and machine learning models to automate and streamline operational workflows. To address this waste, consider implementing FinOps (Finance + DevOps).

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DevOps Automation Natural Language Processing Artificial Intelligence 166

IBM Journey to AI blog

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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Computer Vision NLP Robotics Automation 247