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.

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Unite.AI

MARCH 7, 2025

What inspired you to launch NeuBird, and how did you identify the need for AI-driven IT operations automation? How is NeuBird pioneering AI-powered digital teammates, and what sets Hawkeye apart from traditional IT automation tools? It works alongside IT, DevOps, and SRE teams without requiring major infrastructure changes.

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DevOps Automation Data Analysis Generative AI 162

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). Scope and focus AIOps methodologies are fundamentally geared toward enhancing and automating IT operations. AIOps and MLOps: What’s the difference?

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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 ).

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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.

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Automation DevOps Machine Learning Explainability 206

Unite.AI

FEBRUARY 6, 2025

Key features include model cataloging, fine-tuning, API deployment, and advanced governance tools that bridge the gap between DevOps and MLOps. For instance, NVIDIA leveraged TrueFoundry to optimize GPU usage for LLM workloads, cutting costs and improving efficiency through automated resource allocation and job scheduling.

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Unite.AI

FEBRUARY 5, 2025

The engineering world has become agile, collaborative, and automation-driven, but the cybersecurity industry has lagged behind. Their expertise led to the creation of Astra Security in 2018, with a vision to modernize pentesting by leveraging AI and automation.

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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. Lead time for changes and change failure rate KPIs aggregate data from code commits, log files, and automated test results.

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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. DevOps culture and collaboration Instana’s focus on fostering a Dev Ops culture and collaboration is another distinguishing factor.

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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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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. First, let’s start with a basic premise—as IT systems become more complex and intertwined, automation is the most essential tool you have at your disposal. Read the Enterprise Guide.

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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.

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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.

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Marktechpost

DECEMBER 18, 2024

AI-powered tools have become indispensable for automating tasks, boosting productivity, and improving decision-making. It automates code documentation and integrates seamlessly with AWS services, simplifying deployment processes. It automates model development and scales predictive analytics for businesses across industries.

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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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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.

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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.

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IBM Journey to AI blog

DECEMBER 1, 2023

The initial use of generative AI is often for making DevOps more productive. AIOps integrates multiple separate manual IT operations tools into a single, intelligent and automated IT operations platform. On the other hand, self-supervised learning is computer powered, requires little labeling, and is quick, automated and efficient.

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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.

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DevOps LLM Large Language Models Data Quality 108

Unite.AI

SEPTEMBER 30, 2024

AI quality assurance (QA) uses artificial intelligence to streamline and automate different parts of the software testing process. AI also automates test data generation, creating a wide range of test data that reduces the need for manual input. Automated QA surpasses manual testing by offering up to 90% accuracy.

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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?

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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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Unite.AI

FEBRUARY 7, 2025

In fact, one of the biggest changes AI brings to the freelancing world is the automation of daily, routine tasks. With the help of AI tools, freelancers can automate such tasks and free up their time to focus on crafting, building relationships, and taking on more gigs. But what if you can automate a large part of this work?

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Flipboard

MARCH 27, 2023

Devops teams build their infrastructure as code, automate deployments with continuous integration/continuous delivery (CI/CD), and establish …

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DevOps Automation Big Data Machine Learning 166

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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IBM Journey to AI blog

MARCH 29, 2024

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. Logs can be created around specific aspects of a component that DevOps teams want to monitor. What is OpenTelemetry?

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IBM Journey to AI blog

MAY 31, 2023

This allows for greater automation and optimization of production processes, leading to increased efficiency, productivity and flexibility in manufacturing. We assume readers are familiar with Industry 4.0, For more information about the concept, see the link below. Learn more about Industry 4.0

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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

Unite.AI

NOVEMBER 17, 2023

Automated Code Review and Analysis AI can review and analyze code for potential vulnerabilities. AI recommends safer libraries, DevOps methods, and a lot more. Automated Patch Generation Beyond identifying possible vulnerabilities, AI is helpful in suggesting or even generating software patches when unpredictable threats appear.

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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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IBM Journey to AI blog

FEBRUARY 6, 2024

Automation Automation tools are a significant feature of cloud-based infrastructure. Today, hybrid cloud architecture focuses more on supporting the portability of workloads across all cloud environments and then automating the cloud deployment of those workloads to the best cloud environment for a given business purpose.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

To explore how AI agents can transform your own support operations, refer to Automate tasks in your application using conversational agents. He has over 6 years of experience in helping customers architecting a DevOps strategy for their cloud workloads. He holds a Master’s in Information Systems.

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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.

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DevOps Generative AI Automation Data Scientist 107

IBM Journey to AI blog

JUNE 2, 2023

Automate routine tasks to free up time to provide personalized services and build relationships with families. IBM Operational Decision Manager (ODM) enables businesses to respond to real-time data by applying automated decisions, enabling business users to develop and maintain operational systems decision logic.

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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.

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IBM Journey to AI blog

DECEMBER 11, 2023

Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. Lastly, a hybrid cloud ecosystem delivers the agility that DevOps and other teams need to rapidly develop, test and launch applications in a cloud-based environment—another critical driver for business growth.

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IBM Journey to AI blog

NOVEMBER 14, 2023

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). It combines the power of the z-Mod stack with secure DevOps practices, creating a seamless and efficient development process.

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