July 2026 Summaries

Grafana Assistant revolutionizes data analysis for engineers by integrating over 30 data sources, allowing users to query and visualize information without switching between multiple tools. This AI-powered solution, part of Grafana Labs' commitment to a "big tent" philosophy, eliminates the need to migrate data or standardize on a single vendor by connecting directly to existing data sources. By tapping into platforms like AppDynamics, Azure Monitor, Dynatrace, and more, Grafana Assistant provides a seamless experience where users can ask questions in natural language and receive comprehensive insights that include metrics, logs, and traces all in one place. This capability significantly enhances the efficiency and quality of investigations by correlating data across diverse systems and visualizing it within Grafana dashboards, thus reducing the fragmentation of information and improving the speed of problem-solving.

Modern applications face a variety of potential failures, necessitating a comprehensive reliability testing strategy that involves multiple layers of validation using Grafana Cloud tools. By employing the Swiss Cheese Model, which stacks different testing approaches to catch and address issues at various stages, software reliability can be significantly enhanced. Grafana Cloud offers three main solutions: Synthetic Monitoring, which proactively checks application performance through global probes; Frontend Observability, which provides real-time insights into user experiences and identifies issues not covered by synthetic checks; and k6, a performance testing tool that simulates load conditions to ensure stability under high traffic. An example using the demo web application QuickPizza illustrates how each tool addresses specific gaps, with Synthetic Monitoring detecting latency regressions, Frontend Observability highlighting real user impact, and k6 validating performance under load. Together, these tools allow engineering teams to catch diverse issues, assess their real-world impact, and ensure fixes are effective, ultimately creating a robust reliability testing strategy aligned with the Swiss Cheese Model.

In a recent episode of "Grafana's Big Tent" podcast, hosts Mat Ryer and Tom Wilkie engaged in a discussion with Eric Burns from Anthropic about the company's strategic decision to operate across all major cloud providers, emphasizing the significance of generalizing models to function on diverse hardware. The conversation highlighted the transformative impact of agentic coding tools on software development at Grafana Labs, showcasing how natural language interfaces are reshaping user experience design and enhancing dashboard creation. As Grafana Labs fully embraces AI-driven coding tools like Cursor, Claude Code, and Codex, they recognize a shift towards automated test coverage and seamless system integration, simplifying processes traditionally requiring extensive specification and development time. The episode also touched on personal projects in home automation, illustrating how AI tools expedite coding tasks for non-experts, and concluded with a reflection on the evolving role of engineers in an era where AI increasingly handles code implementation.

Grafana Labs has extended its maintenance commitment for the business intelligence plugins originally developed by Volkov Labs through the end of 2026, following their acquisition. The commitment involves maintaining compatibility with recent Grafana versions, addressing bug fixes, security updates, and managing community contributions. Since assuming responsibility, Grafana Labs has updated the plugins to work with Grafana 13 and React 19, while also engaging with users to understand their needs for these plugins, which offer advanced customization options for specialized visualizations. The company emphasizes transparency in future support plans and clarifies that while they support the plugins themselves, they do not guarantee or troubleshoot user-generated JavaScript code. Grafana Labs encourages feedback from users to help shape the future roadmap and invites communication through various support channels.

Organizations using Grafana Cloud aim to consolidate data from various sources for a comprehensive view of their systems, but this centralization necessitates effective access control to ensure security and scalability. Companies like AcmeCloud, a fictional example, face challenges in manually managing access as they scale, requiring solutions like Single Sign-On (SSO) and System for Cross-domain Identity Management (SCIM) to automate user provisioning. Role-Based Access Control (RBAC) further refines access by assigning roles and permissions based on user functions, while folder permissions and Label-Based Access Control (LBAC) restrict dashboard visibility and data access to maintain tenant isolation. This layered approach allows organizations to efficiently manage user access, balancing simplicity, flexibility, and security in a growing environment, ensuring that while observability is centralized, access remains controlled and secure.