Latest news with #IaC
Yahoo
9 hours ago
- Automotive
- Yahoo
Storm Reply and Audi Set New Standards for Cloud Management with Agentic AI
TURIN, Italy, June 03, 2025--(BUSINESS WIRE)--Storm Reply, the Reply Group company specialising in innovative cloud-based solutions and services, is supporting Audi's Cloud Foundation Services team in enhancing its cloud management activities through the introduction of Devbot, a digital assistant powered by Agentic AI technologies. Designed to optimise the use of cloud infrastructure, Devbot automates the handling of recurring support requests. Preparing to deploy a system where Audi employees receive personalized recommendations in real time, while ensuring the secure and efficient use of cloud services across the organization. Unlike traditional chatbots, Devbot is built on a multi-agent architecture, combining specialised AI agents for different tasks. The platform acts proactively by identifying security vulnerabilities in the cloud infrastructure, suggesting validated Infrastructure-as-Code (IaC) components for the rapid development of new environments, and providing actionable recommendations to optimise cloud costs. To develop this digital assistant, Storm Reply combined state-of-the-art technologies within the AWS Cloud. The Large Language Model (LLM) Claude enables users to interact through natural language, while a specialised Retrieval-Augmented Generation (RAG) process, developed by Storm Reply, ensures that all responses are based on verifiable and up-to-date information. Tailored access controls further protect sensitive data, guaranteeing that only authorised users have access. The success of the digital assistant demonstrates the significant potential of Agentic AI when integrated into existing business processes to reduce repetitive and error-prone manual tasks. With Devbot, Audi's Cloud Foundation Services team can now focus on shaping future-proof cloud strategies, while the other departments benefit from faster, more tailored support. Storm ReplyStorm Reply is specialized in the design and implementation of innovative Cloud-based solutions and services. Through consolidated expertise in the creation and management of Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) Cloud solutions, Storm Reply supports important companies in Europe and all over the world in the implementation of Cloud-based systems and applications. Storm Reply is AWS Premier Consulting Partner. AudiThe Audi Group is one of the most successful manufacturers of automobiles and motorcycles in the premium and luxury segment. The brands Audi, Bentley, Lamborghini, and Ducati produce at 21 locations in 12 countries. Audi and its partners are present in more than 100 markets worldwide. In 2024, the Audi Group delivered 1.7 million Audi vehicles, 10,643 Bentley vehicles, 10,687 Lamborghini vehicles, and 54,495 Ducati motorcycles to customers. In the 2024 fiscal year, Audi Group achieved a total revenue of €64.5 billion and an operating profit of €3.9 billion. As of December 31, more than 88,000 people worked for the Audi Group, more than 55,000 of them at AUDI AG in Germany. With its attractive brands and numerous new models, the group is systematically pursuing its path toward becoming a provider of sustainable, fully networked premium mobility. ReplyReply [EXM, STAR: REY, ISIN: IT0005282865] specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply supports major European industrial groups in the telecom and media; industry and services; banking and insurance and public sectors in defining and developing business models enabled by the new paradigms of AI, cloud computing, digital media and the internet of things. Reply's services include: consulting, system integration and digital services. View source version on Contacts Media contact: Reply Fabio Tel. +39 0117711594 Sandra Tel. +49 170 4546229 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
9 hours ago
- Automotive
- Business Wire
Storm Reply and Audi Set New Standards for Cloud Management with Agentic AI
TURIN, Italy--(BUSINESS WIRE)-- Storm Reply, the Reply Group company specialising in innovative cloud-based solutions and services, is supporting Audi's Cloud Foundation Services team in enhancing its cloud management activities through the introduction of Devbot, a digital assistant powered by Agentic AI technologies. Designed to optimise the use of cloud infrastructure, Devbot automates the handling of recurring support requests. Preparing to deploy a system where Audi employees receive personalized recommendations in real time, while ensuring the secure and efficient use of cloud services across the organization. Unlike traditional chatbots, Devbot is built on a multi-agent architecture, combining specialised AI agents for different tasks. The platform acts proactively by identifying security vulnerabilities in the cloud infrastructure, suggesting validated Infrastructure-as-Code (IaC) components for the rapid development of new environments, and providing actionable recommendations to optimise cloud costs. To develop this digital assistant, Storm Reply combined state-of-the-art technologies within the AWS Cloud. The Large Language Model (LLM) Claude enables users to interact through natural language, while a specialised Retrieval-Augmented Generation (RAG) process, developed by Storm Reply, ensures that all responses are based on verifiable and up-to-date information. Tailored access controls further protect sensitive data, guaranteeing that only authorised users have access. The success of the digital assistant demonstrates the significant potential of Agentic AI when integrated into existing business processes to reduce repetitive and error-prone manual tasks. With Devbot, Audi's Cloud Foundation Services team can now focus on shaping future-proof cloud strategies, while the other departments benefit from faster, more tailored support. Storm Reply Storm Reply is specialized in the design and implementation of innovative Cloud-based solutions and services. Through consolidated expertise in the creation and management of Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) Cloud solutions, Storm Reply supports important companies in Europe and all over the world in the implementation of Cloud-based systems and applications. Storm Reply is AWS Premier Consulting Partner. Audi The Audi Group is one of the most successful manufacturers of automobiles and motorcycles in the premium and luxury segment. The brands Audi, Bentley, Lamborghini, and Ducati produce at 21 locations in 12 countries. Audi and its partners are present in more than 100 markets worldwide. In 2024, the Audi Group delivered 1.7 million Audi vehicles, 10,643 Bentley vehicles, 10,687 Lamborghini vehicles, and 54,495 Ducati motorcycles to customers. In the 2024 fiscal year, Audi Group achieved a total revenue of €64.5 billion and an operating profit of €3.9 billion. As of December 31, more than 88,000 people worked for the Audi Group, more than 55,000 of them at AUDI AG in Germany. With its attractive brands and numerous new models, the group is systematically pursuing its path toward becoming a provider of sustainable, fully networked premium mobility.
Hans India
a day ago
- Business
- Hans India
Kiran Kumar Kakkireni Appointed as International Advisory Committee Member and Keynote Speaker at ICICC-2025
Kiran Kumar Kakkireni, Chief Technology Officer (CTO) at Equinox IT Solutions LLC, has been appointed as a distinguished International Advisory Committee Member and Keynote Speaker for the 8th International Conference on Intelligent Computing and Communication (ICICC-2025). Publishing Partner - Springer and organized in association with the Computer Society of India and Indian Society for Technical Education. Set to take place on 25th & 26th July 2025 at CMR Technical Campus, Hyderabad, this conference brings together global leaders and experts from the fields of cloud computing, AI, DevOps, and data science to discuss the future of intelligent systems and technological advancements. Mr. Kakkireni's expertise and leadership in the tech space, particularly in AWS cloud architecture and automation, make him a prominent figure in the advisory committee, where he will guide the conference's direction, ensuring it addresses the latest challenges and innovations in the technology sector. As a Keynote Speaker, Mr. Kakkireni will delve into the evolving landscape of cloud technologies and DevOps. His session will offer valuable insights into how businesses can optimize their IT infrastructure through AWS cloud solutions, serverless computing, and continuous integration/continuous delivery (CI/CD) practices. His vast experience in leading digital transformation initiatives for organizations through innovative cloud architectures and automation has earned him recognition as a thought leader in the industry. This platform will allow him to share his vision of how emerging technologies can be leveraged to drive business growth, streamline operations, and enhance security. Mr. Kiran Kumar Kakkireni is a highly respected technology leader with over 12 years of experience in cloud computing, DevOps, and AI-driven solutions. As the Chief Technology Officer at Equinox IT Solutions LLC, he has led groundbreaking projects that have helped organizations across industries scale efficiently while ensuring cost optimization and robust security measures. Recognized for his expertise in AWS architecture, Infrastructure as Code (IaC), and automation technologies like Terraform and Jenkins, Mr. Kakkireni is also an active member of IEEE, where he contributes to the advancement of knowledge in cloud computing and machine learning. His innovative leadership has earned him accolades such as being named CTO of the Year and Best Employee of the Year 2023, underscoring his influence in shaping the future of IT and business technology. His participation in ICICC-2025 adds immense value, as he continues to inspire and lead the way for the next generation of IT professionals and researchers. As an International Advisory Committee Member and Keynote Speaker at ICICC-2025, Mr. Kakkireni will play a pivotal role in shaping the conference's discussions and helping to set the agenda for the future of intelligent computing, cloud technologies, and AI. The event is expected to be a key platform for academics, researchers, and industry leaders to share knowledge, discuss emerging trends, and collaborate on innovative solutions to today's technological challenges. Kiran Kumar Kakkireni is a seasoned technology leader with over 12 years of experience in cloud computing, DevOps, and AI-driven solutions. As the Chief Technology Officer (CTO) at Equinox IT Solutions LLC, he has led innovative projects focused on AWS architecture, serverless computing, and automation technologies like Terraform and Jenkins, helping organizations scale efficiently and optimize operational costs. His expertise in Infrastructure as Code (IaC), continuous integration/continuous delivery (CI/CD), and cloud security has earned him recognition as a thought leader in the IT industry. An active member of IEEE, Mr. Kakkireni is passionate about advancing the field of cloud technologies and machine learning. His leadership and strategic vision have been recognized with accolades such as being named CTO of the Year and Best Employee of the Year 2023, solidifying his position as a key influencer in the tech community.
Yahoo
a day ago
- Business
- Yahoo
Harness Named a Leader in DevOps Platforms by Independent Research Firm, Q2 2025 Evaluation
SAN FRANCISCO, June 2, 2025 /PRNewswire/ -- Harness, the AI DevOps Platform™ Company, today announced it has been named a Leader in The Forrester Wave™: DevOps Platforms, Q2 2025. Harness received the highest possible scores in the "AI Infusion", "Innovation", and "Vision" criteria. In its evaluation, Forrester noted that Harness has "a vision of AI throughout the SDLC, a focus on security, and cloud cost self-service tools [that] bring a strong mix of business value and developer experience." "For us, this recognition from Forrester is a major validation of the platform we've built and the strategy we're executing – one that infuses AI into every aspect of software delivery, to simplify and accelerate it for every engineering team," said Jyoti Bansal, CEO and co-founder of Harness. "Enterprises are under pressure to deliver software faster without compromising quality or security, and AI is the key to achieving that. Harness is uniquely positioned to meet the needs of every software engineering team." The Forrester Wave™ evaluates 11 of the most significant DevOps providers across 26 criteria, ranking them based on their current offering, strategy, and customer feedback. Harness received the highest scores possible across 14 criteria, including: Build Automation and CI: delivering fast, reliable build and deployment automation at scale, with advanced support for hybrid and multi-cloud environments. AI infusion: empowering developers, operators, and leaders with intelligent assistance for debugging, testing, release engineering, and governance. Infrastructure as Code and Environment Management: with seamless integration into major IaC tools and Kubernetes for robust cloud-native automation. Innovation and Vision: driven by a differentiated roadmap, strong developer tooling, and forward-looking investments in Database DevOps, self-service FinOps, and modular extensibility. The Forrester report noted, "Customers felt they got the excellent attention they needed and had more influence on the roadmap than they might have had with a larger vendor." "Harness has been a great partner in our DevOps journey," said Steve Day, CTO of National Australia Bank (NAB). "Their team moves fast, listens closely, and delivers real value. We've always seen them as a leader in this space, and it's great to see that reflected in Forrester's latest Wave." This recognition marks a major milestone in Harness's evolution, reinforcing its role in helping engineering teams move faster without compromise. As enterprises adopt AI, modernize infrastructure, and reduce developer toil, Harness offers a consistent foundation for governance, policy, and streamlined automation across the software delivery lifecycle. Following its recent merger with Traceable and prior acquisition of Split, Harness continues to expand its reach as the only AI DevOps solution built to unify the entire software delivery lifecycle – from build to deploy, from test to secure. To read the full Forrester Wave™: DevOps Platforms, Q2 2025 report, visit About HarnessHarness is the AI DevOps platform for complete software delivery. It provides a simple, safe, and secure way for engineering and DevOps teams to release applications into production. Harness uses AI and machine learning to monitor the quality of deployments and automatically roll back failed ones, saving time and reducing the need for custom scripting and manual oversight, giving engineers their nights and weekends back. Harness customers like United Airlines, Citibank, and Choice Hotels accelerate deployments by up to 75%, reduce infrastructure costs by up to 60%, and decrease lead time for changes by up to 90%. Harness is based in San Francisco and is backed by industry-leading investors like Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester's objectivity here. View original content to download multimedia: SOURCE Harness Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Time Business News
22-05-2025
- Business
- Time Business News
Transforming Cloud Operations: The Power of AI-Driven Infrastructure as Code
In the rapidly evolving realm of digital transformation, businesses are racing to adopt smarter solutions for infrastructure provisioning and management. Infrastructure as Code (IaC) has emerged as a foundational DevOps practice that allows IT teams to automate the setup and maintenance of their environments. However, the integration of Artificial Intelligence (AI) with IaC introduces a paradigm shift — enabling predictive, self-healing, and optimized infrastructure management. This in-depth article explores how AI Software Development Services are reshaping Infrastructure as Code, with advanced capabilities, real-world applications, and insightful statistics that underscore this transformative journey. IaC is a key component of modern DevOps pipelines, enabling IT infrastructure (servers, databases, networks, etc.) to be provisioned, configured, and managed using declarative code. IaC allows for: Version control of infrastructure Reusability and automation of configurations Rapid environment replication Reduced manual errors and downtime Common IaC tools include Terraform, Pulumi, AWS CloudFormation, and Ansible. However, as digital infrastructure becomes more complex, businesses are turning to AI to elevate IaC to new levels of intelligence and efficiency. AI empowers IaC tools and processes to become more dynamic, adaptive, and predictive. Instead of static configuration templates and reactive monitoring, AI brings: AI models can analyze usage patterns, forecast load spikes, and allocate resources accordingly. This not only prevents outages but ensures optimal cost-performance balance. According to McKinsey (2024), companies leveraging AI for predictive infrastructure scaling reported a 35% improvement in uptime and 28% reduction in cloud spend. AI continuously monitors system logs, metrics, and events to detect misconfigurations or security threats in real time. Once anomalies are detected, auto-remediation scripts or rollbacks are triggered without human intervention. A recent survey by O'Reilly Media indicated that enterprises using AI in IaC pipelines experienced a 47% drop in major outages. AI-driven policy engines can audit and enforce compliance dynamically. Machine learning algorithms detect non-compliant patterns and suggest or implement corrections instantly. Natural Language Processing (NLP) models assist in generating readable documentation and smart Terraform/CloudFormation scripts by interpreting user intent from natural language inputs. AI accelerates root cause detection by correlating logs, traces, and metrics across systems, reducing mean time to repair (MTTR) significantly. AI helps minimize cloud wastage by predicting ideal resource allocation, avoiding overprovisioning. DevOps teams spend less time on troubleshooting and manual configurations, focusing instead on innovation. With AI-powered anomaly detection and policy enforcement, businesses can ensure infrastructure security at all layers. Self-healing and intelligent recovery drastically lower downtime incidents and improve SLAs. AI-accelerated CI/CD pipelines push infrastructure changes faster, enabling quicker feature deployment. AI-driven IaC ensures secure, high-performance, and compliant cloud deployments crucial for financial transactions. Online retail platforms use AI to auto-scale during high-traffic sales events, ensuring no disruption. Hospitals implement AI for high availability of critical applications and data compliance. AI algorithms optimize infrastructure for IoT devices in smart grids and remote installations. IDC forecasts that by 2026, over 60% of digitally mature enterprises will rely on AI-powered IaC for daily infrastructure operations. Despite its potential, AI-integrated IaC presents hurdles: AI requires vast, clean datasets from logs, telemetry, and metrics. Combining AI engines with IaC tools demands architectural planning. Talent with expertise in both AI and infrastructure automation is rare. Over-reliance on automation without checks can lead to unexpected consequences. AI Software Development Services offer businesses the technical expertise and strategic insights needed to integrate AI into IaC workflows: Custom AI model development for predictive infrastructure monitoring Integration of ML models with existing IaC platforms (Terraform, Ansible, Pulumi) Design of self-healing infrastructure with MLOps practices Ongoing model training, versioning, and performance tuning These services allow businesses to scale securely, stay agile, and innovate continuously without worrying about infrastructure pitfalls. As generative AI, LLMs, and edge computing technologies mature, they will further augment IaC capabilities: AI will build optimized configuration files based on past deployments. Engineers will deploy infrastructure using natural language prompts interpreted by LLMs. End-to-end pipelines with zero manual intervention, self-managed through reinforcement learning. Gartner predicts that by 2027, AI will manage 75% of enterprise infrastructure autonomously. AI-Driven IaC leverages machine learning and data analysis to introduce predictive scaling, auto-remediation, and intelligent decision-making, whereas traditional IaC only automates infrastructure with static rules and templates. Yes. AI can be layered on top of most popular IaC tools like Terraform, AWS CloudFormation, and Ansible using APIs, plugins, and data pipelines that feed performance metrics into AI engines. AI predicts resource demands and auto-scales only what's needed, avoiding costly overprovisioning. It also identifies underutilized services and recommends optimization. These services help businesses build and train AI models, integrate them into existing infrastructure systems, ensure data pipelines are optimized, and maintain the AI lifecycle through MLOps practices. AI enhances security by continuously scanning logs and configurations for anomalies, applying patches automatically, and enforcing compliance rules dynamically, reducing vulnerabilities. Yes. Cloud-native SMBs with limited IT resources can especially benefit by outsourcing complex infrastructure decisions to intelligent systems, reducing manpower needs and speeding up operations. Implementation time varies by complexity but typically ranges from 6–12 weeks, including data preparation, model training, integration with IaC tools, and testing. AI is not just enhancing Infrastructure as Code — it is revolutionizing it. With predictive analytics, self-healing mechanisms, and intelligent resource orchestration, AI-Driven IaC ensures faster, safer, and more efficient cloud operations. Organizations that partner with experienced AI Software Development Services providers are better equipped to unlock these benefits while staying competitive in a cloud-first world. AI and infrastructure have officially converged. Those who adopt this technology early will shape the future of digital enterprises, driving smarter, more efficient cloud solutions for years to come. TIME BUSINESS NEWS
