Latest news with #Grafana
Yahoo
4 days ago
- Business
- Yahoo
Voltage Park Addresses Kubernetes Complexity for AI Developers with New Managed Offering
Managed K8s feature lets AI engineers and researchers focus on model training and deployment by abstracting Kubernetes complexity on high-performance GPU infrastructure SAN FRANCISCO, June 04, 2025--(BUSINESS WIRE)--Voltage Park, the company building the future of AI factories with world-class performance and service, today announced the launch of its managed Kubernetes service. This fully-managed Kubernetes control plane solution is specifically designed to simplify and accelerate the deployment of containerized AI and machine learning workloads on Voltage Park's high-performance bare metal GPU clusters. Workloads running on Voltage Park's high-performance bare metal GPU clusters benefit from a fully managed Kubernetes infrastructure. By offloading the operational overhead—including setup, security, patching, and monitoring—Voltage Park enables customers such as to focus their resources on building, training, and deploying cutting-edge models, rather than managing complex infrastructure. This launch marks a significant step in Voltage Park's mission to create a seamless AI factory, integrating optimized hardware with intelligent software to provide accessible, high-performance AI infrastructure. This managed Kubernetes offering was developed in direct response to feedback from AI pioneers and ML engineers who require robust, production-ready environments without the steep learning curve or operational overhead of managing Kubernetes themselves. Saurabh Giri, CPTO at Voltage Park, shares, "Across the spectrum of AI infrastructure I've worked with – from vast, general-purpose clouds to bespoke, specialized systems – the challenge isn't just accessing compute, but unlocking its full potential with agility. The Voltage Park AI factory is our blueprint for this. Our managed Kubernetes service, a key pillar of the Voltage Park AI factory, is engineered to do just that. We streamline the complex orchestration of bare metal GPUs, so that AI teams can focus on rapidly building and deploying their workloads." While Voltage Park handles the provisioning, updates, and health monitoring of the Kubernetes control plane, seamlessly integrated with bare metal clusters, AI/ML teams are able to: Bypass the complexities of Kubernetes control plane setup, security patching, and ongoing maintenance. Dedicate their expertise to developing, training, and deploying cutting-edge models. Leverage the full power of Kubernetes for their GPU-accelerated applications without the prerequisite of deep Kubernetes expertise, fostering faster innovation cycles. To accelerate readiness for AI workloads, Voltage Park's managed Kubernetes includes pre-configured, yet customizable, essential components on worker nodes: NVIDIA GPU Operator: Ensures seamless NVIDIA driver management and device plugin operation for optimal GPU utilization. Prometheus and Grafana: Provides a robust, out-of-the-box monitoring stack for real-time insights into cluster and application performance. SentinelOne: Delivers enhanced security observability and threat detection for containerized environments. These defaults are fully customizable, allowing teams to tailor the environment to their specific workflow and tooling preferences. It is engineered to empower research institutions, AI startups, and enterprise AI labs working on demanding deep learning, model training, and high-performance computing workloads. Currently tailored for optimal performance on bare metal GPU clusters, Voltage Park is actively working to extend Managed Kubernetes support to virtual machine environments in future iterations, offering even greater flexibility. About Voltage Park Voltage Park is your enterprise AI factory. We offer scalable compute power, on-demand and reserved bare metal AI infrastructure using NVIDIA GPUs, with world-class service, performance and value. Whether you need on-demand bursts or long-term reserve AI compute, we offer virtual machines and bare metal access with transparent pricing, leveraging the latest NVIDIA GPUs for high-performance, secure and reliable computing. With our top-tier support, we help power everyone from builders to enterprises to unlock AI's full potential — quickly, flexibly and without hidden costs. For more information visit or follow us on LinkedIn and X. View source version on Contacts Press contact Sammy TotahVoltage Parkpress@
Business Wire
4 days ago
- Business
- Business Wire
Voltage Park Addresses Kubernetes Complexity for AI Developers with New Managed Offering
SAN FRANCISCO--(BUSINESS WIRE)-- Voltage Park, the company building the future of AI factories with world-class performance and service, today announced the launch of its managed Kubernetes service. This fully-managed Kubernetes control plane solution is specifically designed to simplify and accelerate the deployment of containerized AI and machine learning workloads on Voltage Park's high-performance bare metal GPU clusters. By offloading the operational overhead—including setup, security, patching, and monitoring—Voltage Park enables customers such as to focus their resources on building, training, and deploying cutting-edge models Share Workloads running on Voltage Park's high-performance bare metal GPU clusters benefit from a fully managed Kubernetes infrastructure. By offloading the operational overhead—including setup, security, patching, and monitoring—Voltage Park enables customers such as to focus their resources on building, training, and deploying cutting-edge models, rather than managing complex infrastructure. This launch marks a significant step in Voltage Park's mission to create a seamless AI factory, integrating optimized hardware with intelligent software to provide accessible, high-performance AI infrastructure. This managed Kubernetes offering was developed in direct response to feedback from AI pioneers and ML engineers who require robust, production-ready environments without the steep learning curve or operational overhead of managing Kubernetes themselves. Saurabh Giri, CPTO at Voltage Park, shares, 'Across the spectrum of AI infrastructure I've worked with – from vast, general-purpose clouds to bespoke, specialized systems – the challenge isn't just accessing compute, but unlocking its full potential with agility. The Voltage Park AI factory is our blueprint for this. Our managed Kubernetes service, a key pillar of the Voltage Park AI factory, is engineered to do just that. We streamline the complex orchestration of bare metal GPUs, so that AI teams can focus on rapidly building and deploying their workloads.' While Voltage Park handles the provisioning, updates, and health monitoring of the Kubernetes control plane, seamlessly integrated with bare metal clusters, AI/ML teams are able to: Bypass the complexities of Kubernetes control plane setup, security patching, and ongoing maintenance. Dedicate their expertise to developing, training, and deploying cutting-edge models. Leverage the full power of Kubernetes for their GPU-accelerated applications without the prerequisite of deep Kubernetes expertise, fostering faster innovation cycles. To accelerate readiness for AI workloads, Voltage Park's managed Kubernetes includes pre-configured, yet customizable, essential components on worker nodes: NVIDIA GPU Operator: Ensures seamless NVIDIA driver management and device plugin operation for optimal GPU utilization. Prometheus and Grafana: Provides a robust, out-of-the-box monitoring stack for real-time insights into cluster and application performance. SentinelOne: Delivers enhanced security observability and threat detection for containerized environments. These defaults are fully customizable, allowing teams to tailor the environment to their specific workflow and tooling preferences. It is engineered to empower research institutions, AI startups, and enterprise AI labs working on demanding deep learning, model training, and high-performance computing workloads. Currently tailored for optimal performance on bare metal GPU clusters, Voltage Park is actively working to extend Managed Kubernetes support to virtual machine environments in future iterations, offering even greater flexibility. About Voltage Park Voltage Park is your enterprise AI factory. We offer scalable compute power, on-demand and reserved bare metal AI infrastructure using NVIDIA GPUs, with world-class service, performance and value. Whether you need on-demand bursts or long-term reserve AI compute, we offer virtual machines and bare metal access with transparent pricing, leveraging the latest NVIDIA GPUs for high-performance, secure and reliable computing. With our top-tier support, we help power everyone from builders to enterprises to unlock AI's full potential — quickly, flexibly and without hidden costs. For more information visit or follow us on LinkedIn and X.
Business Wire
19-05-2025
- Business
- Business Wire
Grafana Dashboards Coming to Microsoft's Azure Monitor
SEATTLE--(BUSINESS WIRE)--Grafana Labs, the company behind the world's most ubiquitous, open and composable operational dashboards, today announced it is collaborating with Microsoft to integrate Grafana dashboards directly into Microsoft's Azure Monitor. This agreement establishes Grafana as an integrated visualization experience for Azure users. Grafana + Microsoft Azure Azure Monitor dashboards with Grafana will allow customers to create and edit Grafana dashboards directly in the Azure portal without any additional cost and little administrative overhead. Users will have immediate access to preconfigured dashboards for Azure Kubernetes Services, Application Insights, and dozens of other Azure resources, along with the ability to import thousands of dashboards from the Grafana community. 'As part of our commitment to bringing best-of-breed technologies into the Azure ecosystem, Grafana's built-in dashboard solution in Azure Monitor is now available to our customers to support their real-time operational data needs,' said Dushyant Gill, Group Product Manager, Azure Observability. The new Azure Monitor dashboards with Grafana provides: Native availability within the Azure Portal interface Zero additional cost for Azure customers Minimal management overhead with Azure RBAC support Compatibility with open source Grafana dashboards Azure Monitor dashboards with Grafana are now available in public preview and support Azure data sources including Azure Monitor metrics, logs, traces, alerts, Azure Resource Graph, and Azure Managed Prometheus metrics. Making Grafana the Default Visualization Solution Across All Observability Platforms "Over the years, Grafana has become the de facto standard for the visualization of all observability data, and this partnership represents a watershed moment," said Ash Mazhari, VP of Corporate Development, Grafana Labs. "By embedding Grafana as a third-party technology directly into the default user experience of the Azure portal, we will bring value to every Azure user. This isn't just about integration; it's about becoming an essential part of the daily workflow for the 700,000+ organizations using Azure worldwide." This integration strengthens Grafana Labs' position as the default visualization solution for observability platforms and continues the company's momentum in establishing deep relationships with major cloud providers and enterprise platforms. As Azure Monitor serves every single Azure customer by default, Grafana dashboards will now be available to millions of developers, operations teams, and business users who rely on Azure's cloud platform daily. About Grafana Labs Grafana Labs provides an open and composable monitoring and observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are 5,000+ Grafana Labs customers, including Bloomberg, Citigroup, Dell Technologies, Salesforce, and TomTom, and 25M+ Grafana users around the world. Grafana Labs helps companies achieve their observability goals with the LGTM Stack, which features scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security. The fully managed Grafana Cloud offering is designed to help organizations get observability up and running easier and faster, with turnkey solutions for Kubernetes and infrastructure monitoring, incident response management, load testing, application observability, and more. Grafana Labs is backed by leading investors Lightspeed Venture Partners, Lead Edge Capital, GIC, Sequoia Capital, Coatue, J.P. Morgan, and CapitalG. Follow Grafana Labs on LinkedIn and Twitter or visit
Business Wire
06-05-2025
- Business
- Business Wire
Causely's New Integration with Grafana Labs Goes Beyond Observability to Understandability
SEATTLE--(BUSINESS WIRE)-- GRAFANCON– Causely, the causal reasoning platform for modern engineering teams, today launches a new integration with Grafana Labs that automatically surfaces root causes directly within Grafana dashboards. Grafana Labs is the observability company behind the world's most ubiquitous and open dashboards leveraged by over 25 million users around the world. The Causely platform utilizes purpose-built causal models to infer root causes automatically, saving engineers hours of manual correlation and guesswork. By embedding Causely's intelligence directly into a Grafana dashboard, engineers can instantly see the 'why' behind performance issues in the context of their services, significantly cutting resolution time when there's an alert that needs to be addressed. Share 'Grafana has millions of users and some of the most well-known companies using their cloud solutions to drive their digital businesses,' said Yotam Yemini, CEO of Causely. 'They are servicing massive companies like Atlassian, Dell, Roblox and Wells Fargo – which means a tremendous amount of data is being generated that needs to be made sense of. Causely automatically identifies the root cause of anomalies and instantly makes all the data shown in a customer's Grafana dashboards more actionable.' By embedding Causely's intelligence directly into a Grafana dashboard, engineers can instantly see the 'why' behind performance issues in the context of their services, significantly cutting resolution time when there's an alert that needs to be addressed. Causely also plugs into Grafana Alertmanager, enriching existing alerts with real-time, continuously-updated-root-cause intelligence. This AI-powered capability goes beyond sending alerts when something is wrong, getting deeper into where the problem originated and what to do next within the incident response workflow. 'By integrating Causely with Grafana, engineers have another option to see the inferred root causes of issues amongst the context of all of their relevant services,' said Ash Mazhari, VP of Corporate Development at Grafana Labs. "We're thrilled to collaborate with Causely to offer our users more choices and enhance their insights and value." The Causely system works by automatically mapping an application's topology and service dependencies, then applying a targeted set of high-probability root causes to this data. This novel approach to observability significantly reduces manual troubleshooting by making sense of patterns and determining the best path to remediation, converting alerts into actionable root causes. About Causely Causely leverages causal reasoning to cut through the observability noise and pinpoint what matters. Engineers are overwhelmed by too many tools, alerts, and data coming from their existing observability solutions. Causely automatically surfaces only the most critical risks to service reliability, enabling businesses to minimize operational overhead and maintain reliability without manual troubleshooting.
Int'l Business Times
06-05-2025
- Business
- Int'l Business Times
Getting Humans Out of the Observability Loop with Causely
Causely is a new player in modern DevOps. Their pitch is simple: your observability systems are too noisy. It takes too much time to identify root causes among all of the alerts and dashboards. And these issues are being exacerbated by the rise of AI. Their founder, Shmuel Kliger, has been thinking about IT Operations and complex systems for decades. And he has some counterculture opinions when it comes to how to best manage these complex systems. Firstly, he doesn't believe in the "collect all the data" approach that many modern observability platforms promote. Because while yes, storing data is becoming cheaper, there is also a lot more of it. And perhaps more importantly than the cost implications of collecting everything is simply the fact that 80% of that data will never be needed. In other words, teams are accepting a lot of noise in the name of making sure they have total visibility. When it's time to actually address an alert or a customer complaint, this is all the data that gets in the way and makes finding the actionable root cause like trying to find a needle in a haystack. Instead, Kliger believes that companies should take a "top-down" approach, starting with the likely root causes and then drilling down into the necessary data. The platform he's built, called Causely, leverages causal reasoning to map observability signals to likely root causes. Kliger is also very direct about the fact that in the not-so-distant future, humans will be out of the loop when it comes to managing IT Operations. "Planes can fly themselves—what makes us think IT Operations can't be autonomous?" he asks us to consider. He does, however, acknowledge that it's a journey and we aren't quite there yet—but more and more we should expect machines to take over identifying performance, security, and reliability issues. A nod in that direction is the company's latest integration with Grafana. Grafana Labs is the observability company behind the world's most ubiquitous and open dashboards leveraged by over 25 million users around the world. By embedding Causely's intelligence directly into a Grafana dashboard, engineers can instantly see the "why" behind performance issues in the context of their services, significantly cutting resolution time when there's an alert that needs to be addressed. Causely also plugs into Grafana Alertmanager, enriching existing alerts with real-time, continuously updated root-cause intelligence. This AI-powered capability goes beyond sending alerts when something is wrong, getting deeper into where the problem originated and what to do next within the incident response workflow. " Engineers are overwhelmed by too many tools, alerts, and data coming from their existing observability solutions," said Kliger. "We are trying to make it as simple as possible to plug in our solution to your existing workflow and significantly reduce the manual toil required to identify root causes within complex modern applications."
