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Mon, 01 Jan 0001 00:00:00 +0000

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Mon, 01 Jan 0001 00:00:00 +0000

Grafana Labs Launches Grafana 13 at GrafanaCON 2026, Makes Open Observability Easier to Run at Scale

Tue, 21 Apr 2026 00:00:00 +0000

BARCELONA, SPAIN — April 21, 2026 — Grafana Labs, the company behind the open observability cloud, today unveiled Grafana 13 and a wave of open source updates at GrafanaCON 2026, anchored by a next-generation Grafana Loki architecture and simpler paths to OpenTelemetry on Linux and Kubernetes.

According to Grafana Labs’ 2026 Observability Survey, more than 77% of organizations now lean on open source/open standards for observability, yet more than 38% of teams still cite complexity as their top challenge. The updates announced at GrafanaCON are aiming to address that tension: keep the openness, lose the friction.

“We’re seeing a clear shift in how organizations think about observability. It’s no longer about choosing a single vendor; it’s about building on open foundations,” said Anthony Woods, Co-Founder, Grafana Labs. “Open source, open standards, and an open ecosystem give teams the control and flexibility they need in a world that’s only getting more complex. The future of observability will be defined by interoperability and community-driven innovation, not closed systems. What we’re announcing at GrafanaCON today helps make that open model not just possible, but practical at scale.”

Grafana 13: From Insight to Action, Faster

Grafana 13 focuses on helping teams move from raw telemetry to actionable insight more quickly. Key updates include:

Faster time-to-value through suggested dashboards, dashboard layout templates supporting standard methodologies like DORA and USE/RED method that reduce the blank-page problem, as well as guided learning paths for onboarding new and growing teams.
Dynamic dashboards, now generally available, allow dashboards to adapt based on variables, context, and user needs instead of multiplying static copies.
Programmability and governance at scale, 2-way Git workflows (supporting GitHub, GitLab, Bitbucket, and git) based on a redesigned dashboard schema and a versioned dashboard API, improved secrets handling, and dashboard restore, as well as advisory tooling for safer change management.
Expanded ecosystem support, with more than 170 data sources and 120 visualization panels, plus continued guidance on repeatable patterns and best practices.

Loki: Architecture for the Next Wave of Log Workloads

As observability data continues to evolve, Grafana Labs is also rethinking how logs are stored and queried at scale. The rise of structured logs and OpenTelemetry has fundamentally changed how teams use logs, shifting from simple search toward more analytical, high-cardinality queries, making it critical to rethink the system design to address performance bottlenecks and increasing infrastructure costs.

To address this, Grafana Labs introduced a major evolution of Grafana Loki, designed for modern log use cases and next-generation scale, specifically:

Kafka-backed ingestion for more efficient, durable pipelines at the ingestion layer.
A redesigned query engine and scheduler to better handle large-scale analytical workloads. A new query planner will distribute work across partitions and execute queries in parallel, optimizing for data locality and maximizing throughput, and allowing Loki to process significantly less data per query while returning results faster.

Together, these changes deliver up to 20x less data scanned and 10x faster performance on aggregated queries, making it possible to answer complex questions across massive log datasets with far greater efficiency.

To further accelerate Loki’s evolution, Grafana Labs also announced the acquisition of Logline, an early-stage company founded by tenured engineering leader and entrepreneur Jason Nochlin, focused on performant search of large-scale log data. Logline’s technology is designed to efficiently power “needle in the haystack” queries, such as searching for a specific user ID or error identifier across massive datasets, one of the most common and challenging use cases in log analysis. By bringing this capability into Loki, Grafana Labs aims to significantly improve precision search performance while maintaining Loki’s cost-efficient, index-light architecture.

OpenTelemetry: Easier to Install, Easier to Run

Grafana Labs continues to invest in an open observability model built on open standards and a broad ecosystem, anchored by Prometheus and OpenTelemetry.

According to Grafana Labs’ 2026 Observability Survey, a majority of organizations are using OpenTelemetry or are actively migrating toward it, signaling a clear industry shift toward vendor-neutral instrumentation. But while adoption is accelerating, many teams still face challenges around complexity, evolving semantic conventions, and operational overhead.

To reduce these barriers, Grafana Labs engineers are working with the broader community to help make OpenTelemetry easier to install and operate, including:

Integrated OpenTelemetry packages for Linux environments, enabling installation with a single command, and enhanced support for Kubernetes through the OpenTelemetry Operator.
A more unified experience through Grafana Alloy, the company’s distribution of the OpenTelemetry Collector. In a recent OpenTelemetry community survey, Grafana Alloy was the most cited vendor distribution of the OpenTelemetry Collector. With the new OpenTelemetry Engine mode, teams can now configure Alloy using standard OpenTelemetry Collector YAML, enabling fully OpenTelemetry-native pipelines seamlessly integrated with Grafana.

Grafana Labs continues to contribute upstream to improve the stability of instrumentation, semantic conventions, and distributions, helping make OpenTelemetry more consistent, interoperable, and production-ready across the ecosystem.

GrafanaCON 2026: Innovation Across the Open Observability Ecosystem

GrafanaCON 2026 brings together the global community behind Grafana’s 35 million users worldwide, with thousands of engineers, SREs, and developers gathering in Barcelona to share how they use observability in practice. The event goes beyond product announcements, showcasing real-world applications of open observability across industries.

This year’s agenda features user-led sessions highlighting observability in action, including:

“GrafanaCON is where the future of observability gets built in the open,” said Torkel Ödegaard, Co-Founder, Grafana Labs. “What you see in these announcements is a direct result of that collaboration. Everything we build is shaped by how people actually run these systems at scale. We continue to invest in open source because it’s the most effective way to solve hard technical problems together and push the entire ecosystem forward.”

Resources

Read more about Grafana 13 and other product announcements from GrafanaCON
Explore the GrafanaCON 2026 agenda and sessions
Read the blog announcing Pyroscope 2.0 and how it provides faster, more cost-effective continuous profiling at scale
Learn more about the new Grafana Marketplace, making it easier for partners to sell and distribute plugins developed for Grafana

Grafana Labs Targets the “AI Blind Spot” with New Observability Tools Announced at GrafanaCON 2026

Tue, 21 Apr 2026 00:00:00 +0000

Barcelona, Spain — April 21, 2026 — Grafana Labs, the company behind the open observability cloud, today announced a set of new AI-focused capabilities at GrafanaCON 2026: AI Observability in Grafana Cloud; a significant expansion of Grafana Assistant into more environments, as well as new agentic capabilities; the Grafana Cloud CLI (GCX), a new agentic interface for automated and agent-driven workflows; and o11y-bench, a new open source benchmark for evaluating AI agents running observability workflows.

AI is transitioning from experimentation to production, while observability, control, and operational trust are still catching up. Grafana Labs’ 2026 Observability Survey found near-universal interest in AI’s value, alongside real caution about autonomy: 15% of respondents expressed skepticism about AI taking autonomous actions without stronger safeguards. Now, observing LLMs and the systems they touch is becoming table stakes for teams that intend to run them safely and reliably at scale.

“AI systems are starting to look a lot like distributed systems did a decade ago: powerful, but difficult to reason about and even harder to operate,” said Jen Villa, Senior Director of Product, Grafana Labs. “We’re not approaching this as a separate category. The goal is to bring the same level of visibility and control to AI that teams already expect from the rest of their stack.”

Introducing AI Observability in Grafana Cloud: Monitor and Evaluate AI Systems in Real Time

Launching in Public Preview, AI Observability in Grafana Cloud is a complete solution designed to help teams monitor and evaluate LLM-powered applications and agents in real time.

As AI becomes embedded in customer-facing experiences, failures often don’t look like classic telemetry: unexpected outputs, inconsistent behavior, and silent degradation that erodes trust before traditional dashboards light up.

AI Observability in Grafana Cloud is built to close these visibility gaps by helping teams:

Observe AI agent behavior in real time, including inputs, outputs, and execution flows.
Continuously evaluate outputs, with alerts for issues such as low-quality responses, policy violations, or anomalous behavior.
Surface risk earlier, including potential data exposure or misuse (for example, leaked credentials or abnormal usage patterns).
Elevate agent sessions and conversations to first-class telemetry signals and correlate them in the same environment where applications are observed.

Teams can get started with AI Observability in Grafana Cloud today to understand what their AI is doing, how well it’s doing it, and where issues are emerging.

Grafana Assistant: Broader Reach, Deeper Workflow Support

Grafana Labs also announced a significant expansion of Grafana Assistant, its AI-powered agent for observability and operational workflows that helps monitor, troubleshoot, and manage systems through natural language conversations.

Assistant is no longer limited to Grafana Cloud; it is extending to additional environments and surfaces, including on-premises deployments of Grafana Enterprise, so teams with stricter data and control requirements can use the same AI-assisted workflows. Grafana open source users will also be able to use Grafana Assistant by connecting their accounts to a Grafana Cloud instance.

Additional new capabilities coming to Grafana Assistant include:

Assistant Workspace: Bring Grafana Assistant into full-screen, chat, and browse visualizations at the same time.
Assistant API: Call Grafana Assistant in workflows from anywhere and move the Assistant into your stack.
Automations: Schedule tasks and automation workflows, enabling routine operational actions to run without manual intervention.
Remote MCP server: Bring any agent and connect it to Grafana’s remote MCP server
Learn mode: Get personalized, hands-on lessons tailored to your role and infrastructure so you can elevate your skills.
And so much more: Grafana Assistant in Microsoft Teams, 50+ integrations, 15 native data source integrations, Python runtime in the Assistant, and EU-preferred inference for European customers.

The focus is shortening the distance from question to grounded investigation, especially when minutes matter. It is not just a generic chat interface.

To get started with Grafana Assistant, Grafana Enterprise and Grafana OSS users can create a Grafana Cloud account (including the actually useful free forever plan) and connect it to their Grafana installation via a one-click setup.

Grafana Cloud CLI (GCX): Observability Where Agents Already Work

Grafana Labs also introduced the Grafana Cloud CLI (GCX), a new interface designed for a shift already underway in how software is built and operated: engineers are increasingly working through AI-assisted development environments like Cursor, Claude Code, and GitHub Copilot, where the agent becomes the primary interface.

GCX is designed to bring Grafana Cloud into that workflow, so teams can:

Access the full Grafana Cloud surface area agentically, including provisioning, configuration, and telemetry querying
Invoke Grafana Assistant capabilities from the dev environment, without context-switching into separate tools
Close the agentic loop between code and production by using agents to query live observability insights, correlate alerts with recent repository changes, and propose fixes without leaving the development environment to create a continuous feedback cycle where observability data drives the next action

The intent is fewer handoffs between code, alerts, and dashboards, so investigation and remediation can stay closer to where changes ship. Download GCX and get started today.

o11y-bench: An Open Benchmark for Observability Agents

Grafana Labs also announced it is open sourcing o11y-bench, a benchmark for evaluating AI agents on observability workflows.

Built on Harbor and designed to run against a real Grafana stack, o11y-bench is intended to help teams measure how agents perform on the kinds of tasks that matter in practice: querying metrics, logs, and traces; investigating incidents; and making targeted dashboard changes.

In modern observability environments, where teams operate across open tools and multiple telemetry types, evaluating AI agents requires more than reviewing outputs. o11y-bench is designed to reflect that reality by measuring what agents actually do in the system, not just what they say.

Learn more at https://o11ybench.ai/

Building the Foundation for AI in Production

Together, these moves reflect a pattern: AI in production adds complexity that traditional tooling only partly covers. To coordinate work across AI observability, assistant experiences, and agent-driven workflows, Grafana Labs is forming a dedicated AI organization unifying these efforts under one team.

Mat Ryer has been appointed Senior Director of AI and will lead this work across the company.

“AI breaks in ways traditional observability wasn’t designed for,” said Mat Ryer, Senior Director of AI at Grafana Labs. “Latency and errors still matter, but they’re not enough. You also need visibility into correctness, consistency, and shifting agentic behaviours over time. AI is quickly becoming a key part of the way teams investigate and operate systems. We want to make all of that observable in a way that’s practical, reliable, and fits into how engineers already work today.”

Resources

Read more about all the other product announcements from GrafanaCON.
Explore the GrafanaCON 2026 agenda and sessions.

Grafana Labs Lleva la Observabilidad con IA a América Latina con el Evento Observability Sessions Santiago

Wed, 08 Apr 2026 12:00:00 +0000

SANTIAGO, CHILE — 8 de abril de 2026 — Grafana Labs, la empresa detrás del open observability cloud, trae su serie de eventos Observability Sessions a Santiago el 15 de abril, conectando a líderes de ingeniería, socios y clientes de toda América Latina para explorar la próxima frontera de la observabilidad impulsada por inteligencia artificial. El evento llega en un momento de fuerte impulso regional para Grafana Labs, que ha incrementado su equipo local en un 30% durante los últimos dos años para atender la creciente demanda de soluciones de observabilidad abiertas y escalables. Organizaciones de toda América Latina —incluyendo LATAM Airlines, Casas Bahia y Hona— están adoptando Grafana Cloud para gestionar mejor sistemas distribuidos complejos, controlar costos y aplicar IA para acelerar la resolución de problemas y la respuesta a incidentes.

“Consideramos hospedar la versión de código abierto de forma propia, pero al calcular el tiempo de ingeniería necesario para la configuración y el mantenimiento en comparación con Grafana Cloud, Grafana Cloud tenía mucho más sentido”, afirmó Matías Delgado, Staff Software Engineer en Hona. “Grafana Cloud nos permite entender nuestros servicios, crear SLOs reales y resolver problemas antes de que afecten a los clientes. Se ha vuelto esencial para nuestra forma de desarrollar.”

Durante el evento, los asistentes escucharán directamente de profesionales regionales y expertos de Grafana Labs a través de análisis técnicos en profundidad, sesiones lideradas por clientes y demostraciones prácticas. Los socios del evento incluyen: Nixe y LIDD.

“América Latina, especialmente en la región sur, es una región de rápido crecimiento para Grafana Labs, y estamos viendo cómo los equipos avanzan rápidamente desde la adopción de la observabilidad hasta la operacionalización de la IA dentro de sus flujos de trabajo”, dijo Fernando Paredes, Senior Enterprise Account Executive en Grafana Labs. “Observability Sessions Santiago es una oportunidad para reunir a la comunidad, compartir experiencias del mundo real y explorar lo que viene.”

Observabilidad Impulsada por IA: El Cambio hacia lo Agéntico

El lanzamiento de Grafana Assistant, ahora disponible de forma general en Grafana Cloud, marca un avance significativo en cómo los equipos de ingeniería interactúan con sus datos de observabilidad. En lugar de escribir consultas complejas o navegar entre herramientas, los usuarios pueden hacer preguntas en lenguaje natural y recibir respuestas contextuales y accionables. Assistant Investigations, ahora en vista previa pública, va un paso más allá: actúa como un agente autónomo y de múltiples pasos que coordina métricas, logs, trazas y perfiles para identificar causas raíz y recomendar acciones de remediación durante los incidentes.

Los datos de la Encuesta de Observabilidad 2026 de Grafana Labs reflejan el enorme potencial que estos avances representan para los equipos de ingeniería de América Latina. En toda la región, los profesionales identifican el análisis de causa raíz y correlación como el área de mayor valor potencial para la IA, con más del 61% de los encuestados de América del Sur describiéndolo como el caso de uso donde la IA podría generar mayor impacto.

Estas cifras señalan que las organizaciones en América Latina no solo están adoptando herramientas de observabilidad; están apostando por la observabilidad aumentada con IA como una prioridad estratégica.

Regístrese en Observability Sessions Santiago para conocer cómo los principales equipos de ingeniería de América Latina están aplicando la IA para mejorar la confiabilidad y acelerar la respuesta a incidentes.

Grafana Labs' 4th Annual Observability Survey Reveals a Field at a Crossroads: AI, Economics, Complexity, and the Enduring Power of Open Source

Wed, 18 Mar 2026 10:00:00 +0000

NEW YORK — March 18, 2026 — Grafana Labs, the company behind the open observability cloud, today released findings from its fourth annual Observability Survey, its largest ever, drawing responses from more than 1,300 practitioners and leaders across 76 countries. The survey paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all.

Among the key findings:

92% see value in AI helping surface anomalies and issues before they cause downtime
38% say complexity and overhead are their biggest observability concern
77% say open source or open standards are important to their observability strategy
77% say centralized observability has saved their organization time or money
Half of organizations now use observability tools to track business-related metrics

Together, the results point to a clear industry direction: organizations want observability solutions that are open, cost-efficient, and capable of delivering meaningful operational insights without adding complexity.

Practitioners Want AI That Earns Its Place, Not AI for AI’s Sake

The survey makes clear that observability practitioners are open to AI, but on their terms. Across a range of use cases, support is overwhelming: 92% see value in AI surfacing anomalies before they cause downtime as well as generating dashboards, alerts, and queries, while 91% endorse AI for forecasting and assisting with root cause analysis. Autonomous actions garner 77% support, but stand out as the highest area of skepticism: 15% don’t yet trust AI to act on their behalf and another 8% see no value in using AI for this.

The No. 1 barrier to AI adoption? Too much manual input of required context (26%). In other words, practitioners don’t want AI that creates new toil in place of old toil. And 95% say it’s important for AI to show its reasoning, the clearest possible signal that transparency is not optional. Notably, those who are most enthusiastic about AI are also the most insistent on explainability.

“The survey is clear: AI belongs in the observability workflow, autonomy is the next frontier, and explainability is the price of admission,” said Marc Chipouras, VP of Emerging Products at Grafana Labs. “Practitioners want trustworthy AI that reduces toil and helps them move faster.”

SaaS Adoption Surges as Organizations Invest for ROI, Not Just Growth

The economics of observability are shifting. Half of all respondents now use SaaS for observability in some capacity (up from 43% in 2025). The share using SaaS exclusively has grown steadily from 10% in 2024 to 17% in 2026, a clear signal of market maturation and growing confidence in managed services.

Spending is rising, but thoughtfully. Half of respondents expect to spend more on observability next year, not because vendor prices are going up (only a quarter of respondents cite this), but because of broader adoption (63%) and expectations of higher ROI (31%). Those who expect to spend less point to more efficient operations (37%) as the reason. Meanwhile, cost remains the single most important tool selection criterion for the third year running (65%), followed by ease of use (49%).

The message to vendors is clear: organizations are willing to invest, but they expect demonstrable value in return.

Complexity Remains the Industry’s Defining Challenge — and Centralization Is Helping

Complexity and overhead topped the list of observability concerns for 2026, cited by 38% of respondents, more than signal-to-noise challenges (34%) or cost (31%). Alert fatigue remains the biggest single obstacle to faster incident response, cited by 30% of respondents, nearly double the next most common response.

Yet there is genuine progress. More than three-quarters (77%) say they have saved time or money through centralized observability. Teams with mature, centralized practices are more satisfied with their internal operations (61%) compared to those with siloed setups (53%). The industry is also expanding its scope: nearly half (46%) of organizations have unified infrastructure and application observability in full production, and SLO adoption and business observability are both on the rise.

Self-managed teams are most likely to cite complexity as their top concern, while SaaS users are more likely to point to cost. The shift to SaaS, in part, is a direct response to the complexity burden, a trend expected to accelerate.

Open Source Remains the Bedrock while OpenTelemetry Is Coming Into Its Own

For the fourth consecutive year, open source and open standards are foundational to how practitioners think about observability. 77% say open source/open standards are important to their observability strategy, with 61% calling them “essential” or “very important.”

Almost two-thirds (65%) of organizations are investing in both Prometheus and OpenTelemetry. While Prometheus maintains a slight edge in overall investment (77% vs. 76%), OpenTelemetry is showing stronger growth signals: more respondents are building POCs or actively investigating (35% vs. 18%), and a higher share report increased investment over the past year (47% vs. 42%).

OpenTelemetry is no longer niche. It is now in broad use across metrics (57%), traces (50%), and logs (48%). Practitioners cite ease of adoption (41%) and the freedom to switch vendors (37%) as the top reasons they are turning to OTel, a direct expression of the industry’s desire for openness and portability, not lock-in.

About the Report

The Grafana Labs 4th Annual Observability Survey is based on 1,363 responses from engineers, SREs, and technology leaders across 76 countries, collected through online outreach and industry events between October 1, 2025 and January 6, 2026.

The full report and interactive dashboards are available at: https://grafana.com/observability-survey/

Grafana Labs Signs Strategic Collaboration Agreement with AWS to Accelerate Open Observability Adoption at Scale

Tue, 10 Mar 2026 00:00:00 +0000

NEW YORK — MARCH 10 — Grafana Labs, the company behind the open observability cloud, announced today that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to accelerate adoption of open observability on AWS. Grafana Labs will help customers more easily adopt, migrate, and scale open observability on Grafana Cloud so teams can see, understand, and act on data across their AWS environments.

As software-led businesses move faster and operate at greater scale, the need to turn signals into action across increasingly complex systems has never been more urgent. Cloud-native architectures, distributed workloads, and growing data volumes are raising the bar for observability, while increasing pressure on teams to deliver reliability, performance, and efficiency without adding operational overhead. Through deeper technical and go-to-market collaboration, Grafana Labs and AWS aim to reduce friction for customers, accelerate time to value with AI, and provide greater flexibility through open standards and open ecosystems.

Through this agreement, Grafana Labs will continue to deliver industry-leading innovation to customers, including:

Actually useful AI: AI capabilities, including Grafana Assistant, that help teams move from signal to action faster by simplifying investigation, guiding troubleshooting, and reducing cognitive load so engineers spend less time querying data and more time fixing real problems.
SaaS economics, reimagined: A fully managed observability platform on AWS designed to scale efficiently, helping customers control telemetry costs and reduce operational overhead with Adaptive Telemetry so they can align observability spend with value.
Complexity, simplified: Full-stack, open observability that brings metrics, logs, traces, and events together across AWS environments, breaking down silos and helping teams understand complex systems faster.

As part of the collaboration, Grafana Labs plans to leverage AWS programs and funding to support customer adoption and growth, including AWS credits to help new customers get started with Grafana and transact in AWS Marketplace. Grafana Labs will also participate in AWS ISV Workload Migration Program (WMP) initiatives to help customers migrate to Grafana’s fully hosted observability solution on AWS, enabling teams to offload operational complexity while scaling observability across metrics, logs, and traces.

“By deepening our collaboration with AWS, we’re accelerating how customers adopt and scale Grafana on AWS,” said Ash Mazhari, VP of Corporate Development, Grafana Labs. “This agreement allows us to collaborate more effectively with AWS, while reducing barriers for customers through marketplace access, migration support, and investments in education and community. Together, we’re helping organizations gain faster, more actionable insights from their observability data as they grow in the cloud.”

“Our ability to deliver reliable healthcare operations technology depends on clear, actionable visibility across our entire AWS environment,” said Oren Lion, Director of Software Engineering at TeleTracking. “By unifying our telemetry within Grafana Cloud, we’ve established centralized visibility that spans our AWS-native resources and proprietary services, effectively expanding our capacity to monitor critical workflows. The integration—now enhanced by AI-driven insights from Grafana Assistant—significantly reduces our Mean Time to Resolution (MTTR) by accelerating the transition from initial alert to root-cause identification. This deepened collaboration between Grafana Labs and AWS gives us the confidence to scale our observability alongside our cloud footprint, ensuring our technology continues to support clinicians in delivering exceptional patient care.”

“Grafana Cloud on AWS empowers organizations to operate complex systems at scale with the observability they need,” said Allison Johnson, Director of Americas Technology Partnerships, AWS. “Through AI-powered insights that eliminate noise, seamless procurement via AWS Marketplace, and comprehensive migration support, customers can focus less on managing observability infrastructure and more on delivering exceptional customer outcomes.”

This collaboration underscores the value of Grafana Labs and AWS to provide flexibility and unlock greater business value for customers across industries.

Grafana Labs Brings ObservabilityCON on the Road to Sydney Amid Accelerating Growth

Sun, 08 Mar 2026 22:00:00 +0000

SYDNEY — MARCH 9 — Grafana Labs, the company behind the open observability cloud, is bringing its global ObservabilityCON on the Road series to Sydney with a one-day conference on March 10, 2026. The event will bring together engineering leaders, customers, and partners to explore how organisations across APAC are tackling urgent observability challenges — from tool sprawl and rising telemetry costs to running AI-driven systems reliably at scale — through technical sessions and real-world case studies.

According to Grafana Labs’ 2025 Observability Survey, nearly four in ten engineering teams (39%) say complexity and operational overhead are their biggest obstacle in observability — the single most cited challenge — and organisations report juggling an average of eight different observability tools across their stack. At the same time, cost dominates purchasing decisions for 74% of organisations, signalling that telemetry spend is a board-level concern, not just a technical line item.

Across industries, technology leaders are confronting the same reality: systems are becoming more distributed, data volumes are surging while observability value plateaus, and AI workloads are exposing the limits of fragmented, closed observability tools. Grafana Labs flips that model by offering an open, AI-powered observability platform that unifies signals, controls cost at scale, and gives teams the confidence to run complex systems in production. As a result, Asia-Pacific has become one of Grafana Labs’ fastest-growing regions globally, driven by accelerating cloud adoption and digital transformation and prompting expanded investment across Australia and the broader APAC region.

“Some of the most complex, large-scale systems in the world are being built and operated here in Australia and across APAC,” said Anthony Woods, co-founder of Grafana Labs. “As software becomes more distributed and AI-driven, open observability is no longer optional — it’s foundational. Bringing ObservabilityCON on the Road to Sydney is about investing in our local community, learning from customers at scale, and sharing how open, AI-powered observability helps teams move faster with confidence.”

Expanded Footprint and Innovation in APAC

As software systems become more distributed, more AI-driven, and more central to business outcomes, organisations are choosing Grafana Cloud, the company’s open observability cloud built on open source, open standards, and open ecosystems, reduce tool sprawl, control cost, and regain clarity across complex environments — without vendor lock-in. This demand continues to drive strong growth for Grafana Labs, which recently surpassed more than 7,000 customers worldwide, including global brands such as Anthropic, Salesforce, and Microsoft, reflecting broad adoption across industries and geographies.

The company’s momentum is further reinforced by recent industry recognition, including:

Named a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, positioned furthest for Completeness of Vision
Ranked #13 on Forbes’ Cloud 100, marking the fifth consecutive year on the list
Named a Leader in GigaOm’s Cloud Performance Testing Radar Report
Recognised as Best Observability Solution for Grafana Cloud in the 2025 DevOps Dozen Awards

In Asia-Pacific, Grafana Labs is accelerating investment through expanded local support, deeper community engagement, and a growing partner ecosystem — including DNX Solutions, recognised as APAC Partner of the Year for accelerating Grafana Cloud adoption. Across financial services, telecommunications, technology, government, and critical infrastructure, organisations like Blinkit and Atlassian are using Grafana solutions to improve system reliability, reduce downtime, and gain real-time insight into the health and performance of business-critical services.

This impact is especially pronounced among AI-native organisations, where rapidly evolving models and unpredictable usage patterns place extreme demands on production infrastructure. Leading APAC AI companies such as Harrison.ai and Dubber rely on Grafana Cloud to run complex, high-velocity systems with confidence in production.

Using Grafana Cloud, these teams are able to:

Observe AI workloads end-to-end, correlating metrics, logs, traces, and profiles across training pipelines, inference services, and downstream applications
Rapidly troubleshoot distributed AI systems, where model behaviour, data pipelines, and user experience converge across multiple services
Manage telemetry cost at scale, maintaining deep visibility even as AI usage and data volumes fluctuate unpredictably

“As an AI-driven platform operating at global scale, we need deep, real-time visibility into highly distributed systems,” said Brendon Hay, CTO at Dubber. “Grafana Cloud gives our teams a unified view across metrics, logs, and traces, helping us quickly understand system behaviour, resolve issues faster, and confidently support AI workloads.”

“Running AI in production, especially in clinical settings, means there’s no margin for blind spots,” said Graham Bucknell, Platforms Engineering Manager at Harrison.ai. “Grafana Cloud gives us end-to-end visibility across our systems, so our teams can understand what’s happening, act quickly, and scale safely. That transparency lets us move fast without compromising reliability or trust.”

ObservabilityCON on the Road Sydney: Sessions, Stories, and Takeaways

ObservabilityCON on the Road Sydney will feature a keynote with Grafana Labs’ co-founder, Anthony Woods, technical presentations from Grafana engineers and senior product leaders, and customer success sessions from Dubber and Tally Group designed to show how organisations across the region are driving real observability value, including:

Actually Useful AI: Speakers will share how Grafana’s AI capabilities are delivering practical, day-to-day value for engineering and SRE teams. Attendees will see how Grafana Assistant helps teams query telemetry, generate dashboards, and reduce cognitive load, and how Assistant Investigations, an autonomous, agentic AI for multi-step incident analysis, coordinates metrics, logs, traces, and profiles to surface evidence, hypotheses, and actionable recommendations during incidents.
Reimagined SaaS Economics: As telemetry volumes surge with cloud-native and AI workloads, event talks will explore how organisations are regaining control of observability spend while maintaining deep visibility. Sessions will cover Grafana’s Adaptive Telemetry suite, which gives customers a unified, intelligent way to manage telemetry volume and spend without sacrificing visibility, as well as flexible deployment models like Bring Your Own Cloud, showing how teams can scale observability sustainably as their platforms grow.
Complexity, Simplified: Sessions will showcase how Grafana Cloud helps users move from raw signals to action faster with turnkey observability experiences that reduce operational complexity. This includes Grafana Cloud Knowledge Graph, which enables true full-stack observability by automatically mapping relationships across services, infrastructure, and telemetry, as well as new out-of-the-box solutions such as Instrumentation Hub and Database Observability.

Gartner Disclosures

Gartner®, Magic Quadrant™ for Observability Platforms, By Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren, 7 July 2025

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are a trademark of Gartner, Inc., and/or its affiliates.

ObservabilityCON on the Road Comes to Toronto as Grafana Labs Scales Momentum in Canada

Wed, 04 Mar 2026 13:50:27 +0000

TORONTO — March 4, 2026 — Grafana Labs, the company behind the open observability cloud, is bringing its global ObservabilityCON on the Road series to Toronto with a one-day conference on March 5, 2026. The event will bring together local engineering leaders, customers, and partners to explore the latest in AI-driven observability through deep technical sessions and real-world success stories.

As Canada continues to emerge as a key hub for cloud adoption, AI innovation, and digital transformation, Grafana Labs is expanding its presence and community engagement across the country. This initiative underscores the company’s commitment to empowering organisations of all sizes, from fast-growing local tech firms to global enterprises, to harness observability as a competitive advantage.

“Canada is home to some of the most advanced engineering teams and AI-driven platforms in the world,” said Devin Cheevers, Director of Product, Grafana Labs. “As software becomes more distributed and AI-driven, open observability is no longer optional — it’s foundational. Bringing ObservabilityCON on the Road to Toronto is about investing in the local community, learning from customers at scale, and sharing how open, AI-powered observability helps teams move faster with confidence.”

Expanded Footprint and Innovation in Canada

As software systems become more distributed, more AI-driven, and more central to business outcomes, organisations are choosing Grafana Cloud, the company’s open observability cloud built on open source, open standards, and open ecosystems, to avoid lock-in and navigate system complexity with clarity. This demand continues to drive strong growth for Grafana Labs, which recently surpassed 7,000 customers worldwide, including global brands such as Anthropic, Atlassian, Salesforce, and Microsoft, reflecting broad adoption across industries and geographies.

The company’s momentum is further reinforced by recent industry recognition, including:

Named a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, positioned furthest for Completeness of Vision
Ranked #13 on Forbes’ Cloud 100, marking the fifth consecutive year on the list
Named a Leader in GigaOm’s Cloud Performance Testing Radar Report
Recognized as Best Observability Solution for Grafana Cloud in the 2025 DevOps Dozen Awards

In Canada, Grafana Labs continues to invest in expanded support, deeper community engagement, and a growing partner ecosystem to help organisations improve system reliability, reduce downtime, and gain real-time insight into the health and performance of business-critical services. These capabilities are increasingly vital across financial services, technology, telecommunications, public sector, and AI-driven industries.

This impact is especially evident among organisations powering Canada’s most critical digital services — including Bell Canada and TD Bank — which rely on Grafana to support mission-critical operations, improve operational resilience, and maintain visibility at scale across complex, distributed environments.

ObservabilityCON on the Road Toronto: Sessions, Stories, and Takeaways

ObservabilityCON on the Road Toronto will feature technical presentations from Grafana engineers and senior product leaders, and customer success sessions, including Just Eat Takeaway.com (parent company of Skip the Dishes), designed to show how organisations across the region are driving real observability value, including:

Actually Useful AI: Speakers will share how Grafana’s AI capabilities are delivering practical, day-to-day value for engineering and SRE teams. Attendees will see how Grafana Assistant helps teams query telemetry, generate dashboards, and reduce cognitive load, and how Assistant Investigations, an autonomous, agentic AI for multi-step incident analysis, coordinates metrics, logs, traces, and profiles to surface evidence, hypotheses, and actionable recommendations during incidents.
Reimagined SaaS Economics: As telemetry volumes surge with cloud-native and AI workloads, event talks will explore how organisations are regaining control of observability spend while maintaining deep visibility. Sessions will cover Grafana’s Adaptive Telemetry suite, which gives customers a unified, intelligent way to manage telemetry volume and spend without sacrificing visibility, as well as flexible deployment models like Bring Your Own Cloud, showing how teams can scale observability sustainably as their platforms grow.
Complexity, Simplified: Sessions will showcase how Grafana Cloud helps users move from raw signals to action faster with turnkey observability experiences that reduce operational complexity. This includes Grafana Cloud Knowledge Graph, which enables true full-stack observability by automatically mapping relationships across services, infrastructure, and telemetry, as well as new out-of-the-box solutions such as Instrumentation Hub and Database Observability.

Gartner Disclosures

Gartner®, Magic Quadrant™ for Observability Platforms, By Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren, 7 July 2025. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are a trademark of Gartner, Inc., and/or its affiliates.

Grafana Labs、Dirbatoとパートナーシップを締結

Tue, 10 Feb 2026 00:00:00 +0000

Grafana Labs（本社：米国ニューヨーク市、共同創業者兼CEO：ラジ・ダット、以下「Grafana Labs」）は、株式会社Dirbato（本社：東京都港区、代表取締役社長：金山泰英、以下「Dirbato」）とパートナーシップ契約を締結したことをお知らせします。

今回のパートナーシップにより、Dirbatoは連結子会社であるAMBL株式会社（本社：東京都港区、代表取締役社長：毛利政弘、以下「AMBL」）と共に、Grafana CloudおよびGrafana Enterpriseを中核としたAIOps・DevOpsの統合ソリューションを提供いたします。

多くの日本企業では、システム運用におけるコスト増大と運用の高度化が同時に進み、現場の負荷が深刻な課題となっています。Grafana Labsが日本国内で実施したオブザーバビリティ調査によると¹82%の企業がツール選定においてコストを最重要視している一方で、48%が運用コストそのものを最大の懸念事項として挙げ、38%がコストの予測や予算管理の難しさを課題として認識しています。

また、シグナル過多やツール運用の複雑さを課題とする企業も3割を超えており、障害発生時に迅速な原因特定や対応を行うことが難しい状況が浮き彫りになっています。加えて、日本企業 ¹52%は3つ以下のオブザーバビリティ技術しか活用できておらず、集中型の運用体制を確立できている企業も28%にとどまるなど、専門人材不足や属人化といった構造的な課題も顕在化しています。

こうした背景を踏まえ、Dirbatoの戦略・ITコンサルティング力、AMBLのAI活用技術、そしてGrafana Labsのオブザーバビリティ基盤を組み合わせることで、インシデントの検知、状況把握、優先度判断、対応プロセスの標準化と自動化を通じて、運用全体を高度化・効率化する次世代の運用モデルの実現を目指します。

Grafana Cloudを中核に、アラート管理やインシデント対応におけるワークフローの自動化・可視化を推進するとともに、運用担当者の意思決定を支援する形でAIOps・DevOpsを実装することで、運用精度の向上やコスト削減、障害対応の迅速化、組織全体の生産性向上に貢献してまいります。

株式会社Dirbato 代表取締役社長金山泰英コメント

「急速なデジタル化の進展により、多くの企業が「サイロ化されたデータの散在」という課題に直面しています。Dirbatoは、Grafanaのオープンプラットフォームを活用し、あらゆるデータを統合・可視化・一元管理。それを現場に定着させ、システム運用を単なる「コスト」から「価値を生む源泉」へ転換します。この取り組みを通じて、日本のIT人材のポテンシャルを最大限に引き出し、日本経済の成長の一助となれるよう努めます。「テクノロジーで世界に喜びを。」──このミッションの実現に向け、Grafana Labs社とのパートナーシップを通じて、新たな価値創造を加速させます。」

Grafana Labs バイスプレジデントグローバルレベニューリーダーコナーモロイコメント

「この度、Dirbato社とパートナーシップを締結できたことを大変嬉しく思います。Dirbatoが培ってきた高度なシステム運用の知見と、迅速なソリューション提供力に、Grafanaのオープンで統合されたオブザーバビリティ基盤とAIを組み合わせることで、日本のエンタープライズにおけるインシデント検知・原因分析・自動化のレベルを大きく前進させられると確信しています。多くの企業が直面する「運用コストの増大」や、「障害対応の複雑化」といった課題に対し、両社の強みを掛け合わせることで、これまで実現が難しかった運用最適化とスピード改善を提供していきます。日本のお客様に、これまでにない新しい運用体験と価値をお届けできることを楽しみにしています。」

グラファナラボ日本合同会社副社長執行役員 GTMカントリーリーダー加賀美正篤コメント

「この度、Dirbato社とパートナーシップを締結できましたことを心より嬉しく思います。日本企業では、クラウドとオンプレミスが混在するハイブリッド環境が急速に拡大する一方で、システムや運用がサイロ化し、全体状況の把握やインシデント対応が複雑化しているという課題が顕在化しています。Dirbato社は、こうした複雑なIT環境に対する高度な運用知見と、実装・支援における確かな実績を有しています。Grafanaは、異なる環境に分散したデータを統合的に可視化し、横断的な運用管理を可能にするオープンプラットフォームを提供しており、両社の協業により企業が抱える運用負荷の軽減、インシデント対応プロセスの標準化、そして運用全体の効率化に向けた具体的な支援が可能になります。本パートナーシップを通じて、日本のエンタープライズ企業が直面する運用上の課題解決に貢献し、より安定性の高いシステム運用と継続的な改善を実現できるよう取り組んでまいります。」

会社概要：株式会社Dirbato

Dirbatoのミッションは「テクノロジーで世界に喜びを。」最先端AIとデジタル技術を駆使し、ITにおける企画立案から現場実装までを一貫して支援し、企業変革を加速させることです。そして、その先にあるIT人材価値の向上によって企業成長と日本経済の復興に寄与します。


設立日	2018年10月1日
代表者	代表取締役社長金山泰英
所在地	東京都港区赤坂9丁目7-1 ミッドタウン・タワー 32階
事業内容	テクノロジーコンサルティング事業
URL	https://www.dirbato.co.jp/

会社概要：AMBL株式会社

AMBLはAI活用を得意とするDXのプロフェッショナル集団です。ITコンサルティング、AI、クラウドネイティブ（システム開発）、UXデザイン、マーケティングという事業領域から総合的にDXを支援できることをユニークネスとしています。


設立日	2001年3月9日
代表者	代表取締役社長毛利政弘
所在地	東京都港区赤坂9丁目7-1 ミッドタウン・タワー 32階
事業内容	DX支援事業
URL	https://www.ambl.co.jp/

会社概要：Grafana Labs

Grafana Labsは、オープンなオブザーバビリティプラットフォームのグローバルリーダーです。Grafana Labsの製品開発は、オープンソース、オープンスタンダード、オープンエコシステム、そしてオープンカルチャーという信念に基づいています。当社のクラウド型オブザーバビリティプラットフォームであるGrafana Cloudは、柔軟性と拡張性を重視して構築されており、組織が分散したあらゆるデータを可視化、理解し、行動に移すことで、ビジネスを加速します。現在、Anthropic、Bloomberg、NVIDIA、Microsoft、Salesforceをはじめとする7,000社以上の顧客と2,500万人以上のユーザーが、アプリケーションとシステムの信頼性確保、インシデントの迅速な解決、そしてノイズとコストを削減するためのテレメトリ最適化のためにGrafana Labsを活用しています。当社は世界40か国以上に1,500人以上の社員が在籍する100%リモートの企業であり、Lightspeed Venture Partners、Sequoia Capital、GIC、Coatue、J.P. Morgan、CapitalG、Lead Edge Capitalなどの主要な投資家から支援を受けています。詳細はhttps://grafana.com/ja/をご覧いただくか、LinkedInおよびXで当社をフォローしてください。


設立日	2015年4月22日
代表者	共同創業者兼CEO ラジ・ダット
所在地	165 Broadway, 23rd Floor, New York, NY 10006
事業内容	ソフトウェアおよびテクノロジーサービス事業
URL	https://grafana.com/ja/

¹出典：Grafana Labs「Observability trends in Japan: Insights from Grafana Labs’ latest survey」（2025年6月）本調査は、2025年2月に東京で開催された「ObservabilityCON on the Road」において、日本国内のIT・SRE・開発担当者108名を対象に実施