Grafana Labs, the company offering open and composable operational dashboards, is adding a variety of updates to its platform including advancements in AI/ML for observability, significant enhancements to the fully managed Grafana Cloud observability platform, and the launch of Grafana Labs’ new startup program.
According to the company, these updates are designed to simplify observability, save time and resources, and bring sophisticated new capabilities to a broader audience.
“[These] announcements represent a significant leap forward in making observability easier, more efficient, and more intelligent,” said Tom Wilkie, CTO of Grafana Labs. “We’re not just improving our tools; we are completely changing how DevOps teams and SREs interact with their systems and data, simplifying their everyday activities.”
Grafana Labs is announcing new enhancements to the Grafana LGTM (Loki, Grafana, Tempo, Mimir) stack designed to accelerate onboarding and streamline usability within Grafana Cloud. These updates include:
- Explore Apps: Grafana Labs is expanding its query-less experiences following positive feedback of Explore Metrics and Explore Logs, both now Generally Available to all open source and Grafana Cloud (including the free tier) users. Building on this success, Explore Traces and Explore Profiles are now available in Public Preview. These new UIs allow users to drill down and reduce the volume of data they’re sifting through without having to know query languages like PromQL, LogQL, or TraceQL, streamlining data exploration and analysis.
- Cloud Provider Observability: In an effort to meet customers where they are, Grafana Labs is announcing the General Availability of Cloud Provider Observability—an experience for understanding workloads and usage of Amazon Web Services, Microsoft Azure, and Google Cloud services, all in Grafana Cloud. Cloud Provider Observability simplifies monitoring multi-cloud environments and provides more comprehensive insights across cloud services with a single, out-of-the-box observability solution that is easy to set up and scale.
- Synthetic Monitoring and Load Testing: Earlier this year, Grafana Labs introduced a revamped version of Grafana Cloud Synthetic Monitoring powered by Grafana k6 to enable users to simulate the most complex transactions and user journeys. Today, the company is announcing the unification of Synthetic Monitoring and k6 and a focus on making authoring tests easy with the introduction of k6 Studio, Scripted Monitoring, and Browser Monitoring in Grafana Cloud.
- Adaptive Telemetry: On average, customers are seeing a 35% reduction in metrics costs with Adaptive Metrics, which lowers bills by identifying and eliminating unused metrics through aggregation. TeleTracking, an integrated healthcare operations platform provider, used Adaptive Metrics to cut its billable metrics series by 50%, reducing costs by up to 33%. Customers have grown so confident in their tailored aggregation recommendations that several have switched to applying them automatically without any human intervention.
- Open Source LLM Observability: As LLMs become more prevalent in customers’ day-to-day work, Grafana Labs is developing various ways to monitor and observe LLMs.
- Incident Rooms featuring Generative AI: A lot of rich context for both incident understanding and post-incident learning is hard to capture and often lost completely when responders discuss the incident on an audio or video call. To address this, Grafana Labs is investing in Incident Rooms, which provide real-time transcription for incident bridge calls. A bot transcribes conversations in the Incident Room directly into the incident timeline, using LLMs to summarize and capture critical insights that might otherwise be missed.
Additionally, the company is unveiling a suite of unified workflows that connect Asserts’ technology with various Grafana Cloud solutions, which leverages AI/ML to automate the process of detecting and correlating anomalies across application and infrastructure signals.
These new integrations cover a wide range of monitoring needs, including application performance, Kubernetes workload monitoring, infrastructure monitoring, real user monitoring, and simplified SLO management. By automating the correlation of anomalies and providing a more cohesive troubleshooting experience, these AI-driven inferences enable even junior engineers to more effectively understand and diagnose issues in complex systems, the company said.
“Our new Startup Program isn’t just about offering credits; it’s about equipping the next generation of tech leaders with best-in-class observability tools from the start. We’re investing in these companies’ futures, providing them with the same powerful, scalable solutions trusted by global enterprises,” said Ash Mazhari, VP of corporate development at Grafana Labs. “This program embodies our commitment to fostering a vibrant tech ecosystem and our belief that when startups succeed with the right tools, the entire industry moves forward. We’re excited to partner with these organizations and continually find ways to support their growth journeys.”
For more information about this news, https://grafana.com.