The Context Window: Agentic LLMs 101
In this episode, Mat Ryer and Cyril Tovena will talk about agentic LLMs with host Tiffany Jernigan.
Operations | Monitoring | ITSM | DevOps | Cloud
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From signals to savings: Optimizing cloud costs with Grafana Assistant and MCP servers
In today's cloud-native environments, managing resource waste and optimizing costs can feel like a constant battle. Operators, along with their fearless FinOps teams, spend countless hours hunting down unused resources, deciphering complex telemetry data, and manually implementing code or configuration changes to try to reduce cloud costs. But what if you could automate the entire process, from identifying waste to implementing the fix, all based on actual production telemetry?
Actually Useful AI: Troubleshoot Issues Fast with Grafana Assistant
From "something's off" to "here's why (and how to fix it)." Grafana Assistant goes full detective mode: pulls the clues, connects the dots, and recommend a fix... with receipts.
Native OpenTelemetry inside Alloy: Now you can get the best of both worlds
We're big proponents of OpenTelemetery, which has quickly become a new unified standard for delivering metrics, logs, traces, and even profiles. It's an essential component of Alloy, our popular telemetry agent, but we're also aware that some users would prefer to have a more "vanilla" OpenTelemetry experience.
Apono integration for Grafana: Enabling Just-in-Time access for data sources
Ben Avner is the Head of Ecosystem and Strategic Alliances at Apono, where he leads the company’s global partner strategy and technology alliances. He focuses on building and scaling strategic partnerships that drive product innovation, partner-influenced pipeline, and long-term growth. A former founder and engineer, Ben brings a strong technical foundation and a builder’s mindset, combined with experience across marketing, product partnerships, and go-to-market strategy.
Observability for Azure Virtual Desktop with SquaredUp
Managing Azure Virtual Desktop doesn’t have to mean jumping between portal blades, logs, and metrics trying to piece together what’s happening. In this webinar, you’ll learn how to design and implement a single, operational observability dashboard for Azure Virtual Desktop (AVD) using SquaredUp Cloud — transforming fragmented telemetry into clear, actionable insight. Whether you're responsible for performance, user experience, or operational stability, this session will give you a structured, repeatable framework for monitoring your AVD estate with confidence.
SquaredUp vs Grafana: The Enterprise IT dashboard showdown
Modern enterprises operate across an increasingly complex mix of hybrid cloud services, and productivity platforms. As environments scale, stakeholders need a single pane of glass (SPoG) to understand what’s happening across IT operations without jumping across dozens of disconnected tools.
Generating metrics from traces with cardinality control: A closer look at HyperLogLog in Tempo
While tracing is a critical component of any observability strategy, metrics — especially RED metrics (request rate, error rate, and duration) — are widely considered the gold standard for monitoring service health. Tempo, the open source, easy-to-use, and highly scalable distributed tracing backend, is well known in the OSS community for storing and querying traces. It can also, however, generate RED metrics directly from those traces using the optional metrics-generator component.
How to create and manage secrets with Grafana Cloud Synthetic Monitoring
Observability isn’t just about collecting metrics and logs; it’s about proactively validating that your systems work as expected. Synthetic monitoring helps teams continuously test APIs, applications, and critical user journeys. But when those checks require the use of sensitive data, securely managing credentials becomes essential to maintain both reliability and security.
Saved queries now support template variables | Grafana Cloud
In this video, Collin Fingar, Software Engineer at Grafana Labs, demonstrates how template variables can be used in saved queries, a feature that enables users to reuse queries they or others in their org have saved. You'll see how a query that contains variables can be reused, and how the variables can be replaced at the point of reuse.