AWS Machine Learning Blog

JANUARY 23, 2025

In this post, we explain how to automate this process. By adopting this automation, you can deploy consistent and standardized analytics environments across your organization, leading to increased team productivity and mitigating security risks associated with using one-time images.

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Automation DevOps Machine Learning ML 107

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.

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Automation DevOps 259

Analytics Vidhya

MARCH 2, 2023

And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python.

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Python DevOps Automation Data Science 399

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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AWS Machine Learning Blog

MARCH 20, 2025

Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows , which is a collection of curated AWS Systems Manager self-service automation runbooks. Lambda Function The Lambda function acts as the integration layer between the Amazon Bedrock agent and AWS Support Automation Workflows.

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Automation DevOps Generative AI Metadata 104

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

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

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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DevOps Software Development Automation Machine Learning 323

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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DevOps Machine Learning Large Language Models Automation 179

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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DevOps Automation AI AI 147

Marktechpost

APRIL 23, 2025

Drawing on a curated collection of diagnostic playbooks and safe, read-only SQL routines, the agent provides concrete recommendations and can even automate routine tasks, such as vacuuming and indexing. MCP server capability: Act as a Model Context Protocol server, enabling other agents to call its tools over the network.

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DevOps Automation LLM Inference Engine 48

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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DevOps Generative AI Automation Software Development 122

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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DevOps Automation Machine Learning Algorithm 287

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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Automation DevOps Algorithm Artificial Intelligence 180

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%). The comprehensive event is co-located with other leading events including Intelligent Automation Conference , BlockX , Digital Transformation Week , and Cyber Security & Cloud Expo.

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Big Data Software Development DevOps AI 352

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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DevOps Software Engineer Data Scientist ML 145

Unite.AI

OCTOBER 8, 2024

AI-augmented development redefines team collaboration by automating routine tasks such as bug detection, code reviews, and version control. This automation also promotes effective collaboration by minimizing bottlenecks and reducing the need for constant manual intervention.

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Software Development DevOps Automation AI 263

IBM Journey to AI blog

NOVEMBER 13, 2023

Embrace a DevOps methodology: DevOps outlines a software development process and an organizational culture shift that speeds the delivery of higher quality software by automating and integrating the efforts of development and IT operations teams. They help streamline development by offering ready-made solutions for common tasks.

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DevOps Automation Software Development Artificial Intelligence 293

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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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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Software Development AI Tools DevOps Machine Learning 104

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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DevOps Automation 206

IBM Journey to AI blog

MARCH 6, 2024

DevOps Research and Assessment metrics (DORA), encompassing metrics like deployment frequency, lead time and mean time to recover , serve as yardsticks for evaluating the efficiency of software delivery. Developers and IT Operators can speed up application modernization efforts and generate automation to rapidly scale IT environments.

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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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Generative AI DevOps Automation Neural Network 292

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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Automation DevOps IDP Software Development 241

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

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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Automation AI AI DevOps 317

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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DevOps Auto-complete Automation Python 231

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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Flipboard

APRIL 23, 2025

This solution improves the findability and accessibility of archival records by automating metadata enrichment, document classification, and summarization. Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale.

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LLM BERT Metadata Natural Language Processing 100

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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AI Tools Automation AI AI 124

IBM Journey to AI blog

JUNE 5, 2024

However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks. Modern SaaS analytics solutions can seamlessly integrate with AI models to predict user behavior and automate data sorting and analysis; and ML algorithms enable SaaS apps to learn and improve over time.

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DevOps Automation ML Machine Learning 236

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 167

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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DevOps Automation Software Development 207

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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DevOps Robotics Automation 281

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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Artificial Intelligence Artificial Intelligence DevOps Automation 299