Operations | Monitoring | ITSM | DevOps | Cloud

Debugging your Rancher Kubernetes Cluster the GenAI Way with k8sgpt, Ollama & Rancher Desktop

The advancements in GenAI technology are creating a significant impact across domains/sectors, and the Kubernetes ecosystem is no exception. Numerous interesting GenAI projects and products have emerged aimed at enhancing the efficiency of Kubernetes cluster creation and management. From simplifying application containerization for engineers to addressing complex Kubernetes-related queries or troubleshooting issues within a cluster, GenAI demonstrates immense potential.

New GenAI Search Revamps Customer Experience

Splunk has launched a GenAI summary feature in splunk.com and docs.splunk.com search platforms designed to give users a quick and accurate glance of the most pertinent information they are looking for. This GenAI feature serves up a contextual high-level summary pulled from various relevant search results on topics ranging from Splunk product and feature usage to general Splunk terminology.

AI at the Peak of Inflated Expectations? A Reality Check

The AI hype is undeniable. Buzzwords like ‘machine learning’, ‘deep learning’, and ‘artificial intelligence’ have permeated boardrooms, media, and tech conferences. However, recent market movements suggest that AI might be at the ‘peak of inflated expectations’. Nvidia, a leading player in AI hardware, has seen its stock plummet by about 20% over the last month (8th July to 8th August 2024).

The Ultimate Guide to Choosing the Right Omnichannel Contact Center Platform

How effectively is your current contact center addressing your customer service needs? Are you struggling with fragmented communication channels or outdated technology that hampers your team's efficiency? If these issues resonate with you, it might be time to consider an omnichannel contact center platform. But what is an omnichannel contact center, and how can it revolutionize your customer interactions? This guide will walk you through key considerations, essential features, and the evaluation process to help you select the right platform for your business needs.

How gen AI is driving the next wave of network and cloud innovation

In a recent panel discussion, “Navigating the Convergence of Networks, Clouds, and Generative AI,” hosted by Digital Realty and Console Connect, industry experts shared their views on the challenges associated with AI adoption and its future impact on business operations. The panel featured industry experts from both Digital Realty and Console Connect, alongside Jacky Chan from Votee AI, a multi-stacked AI start-up based in Hong Kong.

Networking Field Day 35: Democratization of Data Access Using Network LLMs with Selector AI

In this brief demo of the Selector platform, a user interacts with Selector Copilot to explore behavior within their network infrastructure. They first look into the latency of their transit routers, revealing a regional issue. The user drills down into network topology information to further investigate the latency, where they access details about devices, interfaces, sites, and circuits. Selector Copilot is then leveraged to surface circuit errors. Notably, each visualization provided by Selector Copilot can be copied and pasted onto a dedicated dashboard.

Networking Field Day 35: Selector AI and the Workings of an LLM

An LLM differs from a function in that it takes output and imputes, or infers, a function and its arguments. We first consider how this process works within Selector for an English phrase converted to a query. We then step through the design of Selector's LLM, which relies on a base LLM trained with English phrases and SQL translation, then fine-tuned, on-premises, with customer-specific entities. In this way, each of Selector's deployments relies on an LLM tailored to the customer at hand.

The Benefits of Using an AI Chatbot API for Customer Support

In today's digital age, businesses are continually seeking ways to enhance customer experience and streamline operations. Integrating an AI chatbot API into your customer support system can revolutionize how you interact with your customers, providing instant, efficient, and round-the-clock assistance while reducing operational costs.

AI and Mobile: Streamlining Your Digital Life with the Latest Tools

In an increasingly digital world, managing our lives efficiently has become both a challenge and a necessity. Artificial Intelligence (AI) and mobile technology have merged to create powerful tools that help us stay organized, productive, and connected. Whether you're managing your daily tasks, keeping up with work, or simply trying to find time for self-care, the latest AI-driven mobile tools can help streamline your digital life.

Supercharging Engineer Productivity with Real World AI

That’s the assessment of Senior DevOps Engineer and Logz.io user Armin Morattab when discussing the impact of AI on his day-to-day job. He dives deep on AI, observability, and strategies for improving workflows with Logz.io Co-founder Asaf Yigal in our webinar, AI in Observability: Real Engineers Talk Real Uses Cases.

Enhance your GenAI application monitoring with Crest Data's Datadog Marketplace integrations

As organizations begin developing generative artificial intelligence (GenAI) applications, observability challenges could hinder their progress. Few robust monitoring tools for GenAI applications are available, which makes identifying and resolving issues in these applications time-consuming and error-prone.

Deploying Llama 3 and vLLM with Civo Cloud GPU: A Live Demo with @getpieces

Join us for an exciting live demo as we explore how AI can transform your DevOps workflow using Pieces and Civo. In this comprehensive walkthrough, we'll dive into deploying an open-source large language model on Kubernetes, setting up GPU clusters, and leveraging AI to streamline development tasks.

What is the impact of AI on data centers? #AI #datacenter #datacentersolutions

AI is the buzzword of the year for good reason—it's transforming industries, including data centers. Hyperview CEO, Jad Jebara explains how AI is tripling data center capacity, solving industry challenges, and why this is just the beginning.

Why Full AI-Stack Visibility is Key to High-Performing GPUs and AI Models

The generative AI market is poised to explode. From AI-based co-pilots and assistants to new use cases across healthcare, marketing, sales, software development, and more, generative AI is unleashing a new wave of productivity, efficiency, and transformative employee and customer experiences.

How Can AI Revolutionize Your Development Workflow? An Introduction to Pieces and Civo

Join us as we dive into the world of AI integration with a live demo of Pieces and Civo. In this walkthrough, we explore how Pieces can revolutionize your development workflow, from automating manual tasks to enhancing code snippets with AI. Learn about on-device and cloud capabilities, and discover how AI can deeply enrich your coding experience.
Sponsored Post

Security & AI Considerations in IT Monitoring Focusing on Microsoft SCOM & Azure Monitor SCOM MI

This whitepaper explores the pivotal roles of security and artificial intelligence (AI) in advancing IT monitoring capabilities, with a specific focus on Microsoft SCOM (System Center Operations Manager) and Azure Monitor SCOM Managed Instance (MI). It highlights how security measures safeguard monitoring data integrity and confidentiality while AI enhances predictive analytics, anomaly detection, and automated responses.

The Future is Now: How AI is Revolutionizing App Development

Apps are become a necessary component of our everyday existence. We use them for everything from communication to entertainment, shopping, banking, health and fitness tracking, and more. As consumer demand grows for more intelligent and personalized apps, developers are turning to artificial intelligence (AI) to build the apps of the future. Here, we explore the current and future impact AI will have on app development.

Benefits as Well as Drawbacks of AI in the Industry - Kellyn Gorman | Redgate

Kelly Gorman, Director of Data and AI at Silk, shares the biggest benefits as well as drawbacks of AI in the Industry. Test Data Management is the process of providing DevOps teams with test data to evaluate the performance and functionality of applications.

Meet Your New Query Sidekick: The Coralogix AI Query Assistant

Becoming an expert in any query language can take years of dedicated study and practice. At Coralogix, however, we believe observability should be accessible to everyone. That’s why we’re thrilled to announce the launch of our latest innovation (and your new sidekick): the AI Query Assistant. The AI Query Assistant revolutionizes the way you interact with your data.

Everything you need to know about Large AI Model Training

When looking back at the role artificial intelligence (AI) has played in revolutionizing different industries that would typically require human intelligence, it is important to consider the next steps in this journey and how it is starting to evolve. With the growth of the industry, the volume and complexity of data are becoming unmanageable for pre-existing AI models.

IBM partners with Elasticsearch to deliver Conversational Search with watsonx Assistant

To meet customer needs for scale, speed, and precision, IBM partners with Elasticsearch to deliver retrieval augmented generation (RAG) capabilities that can be seamlessly integrated into the IBM watsonx Assistant’s new Conversational Search feature. Customers using IBM watsonx Assistant and watsonx Orchestrate can now build conversational AI assistants grounded on their company data with comprehensive search capabilities with RAG.

Cribl Copilot: Lets You Bypass the Learning Curve

Think of it as your digital concierge to achieve faster time-to-value IT and security teams face more challenges than ever, with data growing at 28% CAGR and taking numerous shapes and forms. Cribl’s suite of products – Stream, Edge, Search, and Lake – is built on a unified data processing engine specifically designed for IT and security data.

OpenAI Cost Optimization: 11+ Best Practices To Optimize Your OpenAI Spend

It’s a fast-paced business world out there. This means artificial intelligence (AI) models that help modern businesses win are more than welcome. The right model can drive innovation, streamline workflows, and save you money. But OpenAI’s powerful models can have a catch: High-frequency API usage, complex queries, and data processing can lead to unexpectedly high costs. Surprise costs eat up budgets and threaten other critical investments. Not good.

7 trends to watch when considering gen AI adoption

AI is the current “big thing” in tech and its development marks a pivotal chapter in computing history, where it is redefining how industries operate globally. As IT leaders and CTOs navigate their organisations through this transformative landscape, understanding the direction generative AI is heading and knowing how to manage this technology effectively is crucial.

Stack Overflow rolls out generative AI using Elasticsearch and Azure Open AI

Stack Overflow puts Elastic at the heart of OverflowAI powered by Azure OpenAI, a new search tool that enables developers to retrieve trusted information from a knowledge base of 60 million questions and answers. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Beyond RAG basics: Advanced strategies for AI applications

Our recent virtual event with Cohere dove deep into the world of retrieval augmented generation (RAG), focusing on the critical considerations for building RAG applications beyond the proof-of-concept stage. Our speakers, Lily Adler, principal solutions architect at Elastic, and Maxime Voisin, senior product manager at Cohere, shared valuable insights on the challenges, solutions, and best practices in this evolving field of natural language processing (NLP).

Harness GenAI to enhance IT incident management

Advances in generative AI are rapidly transforming the IT operations landscape. According to Enterprise Strategy Group, 85% of organizations use or plan to deploy AI across many functional areas, including ITOps. AIOps platforms can apply advanced GenAI to quickly identify an incident’s root cause, impact, and recommend steps to resolution. When fed the correct information, AIOps gives IT teams immediate access to context-rich insights.

AI in Telecommunications: Opportunities, Challenges, and the Role of Resolve

Artificial Intelligence (AI) is rapidly becoming an essential component of the telecommunications industry, driving significant changes in how networks are managed, optimized, and maintained. With the growing complexity of telecom networks, coupled with the rising demand for seamless connectivity, AI offers a range of solutions to address these challenges. From predictive maintenance and network optimization to enhancing customer service, AI is poised to transform telecom operations.

AI Summer Camp | Episode 4: AI on public cloud with open source

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 4: AI on public cloud with open source This will cover: Scenarios in which open source tooling on public cloud solves a problem for AI initiatives Main benefits of using open source tooling on the public cloud for AI projects Use cases from our customers Hybrid cloud and multi cloud opportunities for AI projects.

AI Summer Camp | Episode 5: AI on private cloud in the hyperscalers era

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 5: AI on private cloud - why is it relevant in the hyperscalers era? This will cover: Why consider a private cloud for AI? Key considerations when building a private cloud for AI projects Performance acceleration options for private cloud Guidance for Kubernetes on OpenStack for AI initiatives.

Monitor your Anthropic applications with Datadog LLM Observability

Anthropic is an AI research and development company focused on building reliable and safe artificial intelligence systems. Their flagship product is Claude, an advanced language model and conversational AI assistant known for its strong capabilities in natural language processing, reasoning, and task completion. Anthropic places a particular emphasis on AI safety and ethics, and its models and APIs are used by organizations across various industries to build powerful, safe, and performant AI applications.

Unlocking MSP Efficiency With AI

In this episode of the Beyond the Horizon podcast, N-able’s Andrew Burton and Stefan Voss discuss the role of AI and machine learning in backup products for MSPs. They highlight the importance of technician efficiency and the need for tools that can help MSPs do more with less. They specifically focus on the addition of machine learning capabilities to recovery testing in COV and how it improves accuracy and efficiency. They also address concerns about AI adoption and emphasize the importance of responsible use and partnering with the right vendors.

The Importance of AI Literacy: Preparing the Next Generation for an AI-Driven World

Artificial intelligence did not arrive with a big announcement. It simply crept in, little by little. One day, our phones started guessing what we wanted to see. Another day, our maps quietly learned our habits. Soon enough, AI was shaping everything from the way we read the news to the way we choose a movie to unwind with. If you look closely, you realize it has already become part of the background of our daily lives, almost the way electricity or Wi-Fi faded into normalcy.

ITSM concerns when integrating new AI services

*This article was originally published in Help Net Security. Let’s talk about a couple of recent horror stories. Late last year, a Chevrolet dealership deployed a chatbot powered by a large language model (LLM) on their homepage. This LLM, trained with detailed specifications of Chevrolet vehicles, was intended to respond only to questions about Chevrolet cars.

AI Summer Camp | Episode 3: Vector databases for generative AI applications

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 3: Vector databases for generative AI applications Join us for a deep dive into the role of vector databases in generative AI applications.

How Technology Transforms Pallet Racking Inspections

Pallet racking inspections are crucial for maintaining warehouse safety and efficiency. Technological advancements have made these inspections more efficient, accurate, and cost-effective. Here's how technology transforms pallet racking inspections and what you need to know to leverage these innovations.

AI Change Management: What, why, how and Tools

Organizations are constantly faced with the need to adapt and change to stay competitive. AI change management has emerged as a powerful tool to help companies navigate these challenges. By leveraging artificial intelligence (AI) technologies, organizations can streamline their change management processes, improve communication, and drive successful outcomes.

From alert fatigue to AI-driven efficiency: Introducing Edwin AI for IT operations

Imagine having a super-intelligent teammate who can anticipate IT problems before they arise, streamline incident management, and provide crystal-clear insights into your IT landscape. This isn’t science fiction—it’s the reality with Edwin AI, LogicMonitor’s newest innovation in AI for IT operations.

Azure API Management and Generative AI - What's Next?

Andrei Kamenev, a member of the API management team at Microsoft, discusses the relationship between generative AI and API management. He explains that API management can be important in an architecture that uses generative AI, as it helps to solve challenges such as token usage, rate limiting, and load balancing.

Steps to AIOps maturity: Improve MTTR with AI

Many organizations face increased costs from excess noise, manual workflows, and long outage times. These inefficiencies negatively impact budget, service uptime, and, ultimately, customer satisfaction. With effective use of AI, you can give operators the most relevant, full-context incident data, providing a greater understanding of an incident within seconds.

Charmed Kubeflow 1.9 enters general availability with new support for GenAI

Kubeflow 1.9. Kubeflow is a fully open source MLOps platform, part of the Cloud Native Computing Foundation (CNCF) as an incubation project. Canonical is one of the project’s official distributors, ensuring security maintenance of the container images, tight integration with the wider AI/ML ecosystem, and delivering enterprise support and managed services. The latest release offers new features related to GenAI, enabling organisations to run any new initiative in production.