40 verified briefings on Observability. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
Uber built an automated system to find rare failures that traditional tools miss. It analyzes production data to map how services depend on each other, helping engineers prevent outages in their massive network.
Grafana Tempo 3.1 now lets teams remove sensitive data from system traces using simple queries. The update also makes performance metrics more accurate by accounting for sampled data, improving both privacy and observability.
Eve Online uses advanced sampling techniques to monitor its 20-year-old game architecture. This allows its developers to maintain high system fidelity and control telemetry costs without slowing down real-time gameplay for thousands of players.
Cloudflare's new Transformers feature lets you filter and redact sensitive data from logs before they are exported. This removes the need for separate processing tools, simplifying data pipelines and improving security for developers and IT teams.
Grafana Cloud has launched Fleet Management to centrally manage OpenTelemetry Collectors. This helps teams maintain consistent configurations and monitor the health of their entire telemetry pipeline, simplifying operations at scale for developers and SREs.
OpenTelemetry's Kubernetes Attributes Processor is now officially stable. This gives developers and SREs a dependable way to add crucial Kubernetes context to their logs and metrics, making it much easier to debug complex applications running in containers.
Palo Alto Networks launched Cortex XCOR, an AI platform that automatically investigates system outages. It aims to find the root cause and suggest fixes, reducing the manual work for on-call engineers trying to debug complex systems.
Adobe has open-sourced a new tool that lets teams safely view their own GPU performance metrics in shared Kubernetes clusters. This solves a major security challenge by preventing teams from seeing each other's sensitive operational data.
Atlassian replaced its core metrics system, handling data from 100,000 servers, with OpenTelemetry. The high-stakes migration was done live without disrupting critical production alerts, proving the standard's maturity.
AWS launched CloudWatch Omni, a new tool to help developers understand why their AI agents behave unpredictably. It unifies monitoring to explain agent actions, a task traditional tools like the original CloudWatch have struggled with.
Redis Cloud and Datadog have launched a new native integration. This allows teams to send performance metrics directly to their Datadog dashboards without setting up any additional infrastructure, simplifying the entire monitoring process.
ClickHouse now supports PromQL, letting it act as a drop-in replacement for Prometheus. This allows teams to store and query metrics alongside logs and traces in a single, high-performance database without rewriting queries in SQL.
OpenTelemetry has officially graduated within the Cloud Native Computing Foundation, solidifying its role as the industry standard for observability. This helps companies avoid vendor lock-in and standardize how they monitor their software and infrastructure.
Vercel launched Always-on tracing, a new feature that continuously samples live user traffic. This helps developers debug real-world issues on production sites without needing to reproduce the bugs themselves.
Grafana has released new tools that allow AI coding agents to directly query live system data like metrics and logs. This enables developers to build and debug applications using real-time information, not just static code.
Cloudflare now offers agent tracing to help developers debug AI on its Workers platform. However, the company warns that traces are not lossless, data can be truncated, and the feature will become a paid service in 2026.
Netflix redesigned its real-time service map to handle massive scale without losing data. The new system uses a multi-stage pipeline and clever backpressure techniques to ensure every event is processed, even under extreme load.
Using a service mesh with other observability tools can accidentally double-count your traffic metrics. A new guide from CNCF shows developers how to fix this common issue, ensuring accurate data for monitoring and incident response.
Dynatrace is upgrading its AIOps platform to move beyond predictions. The new system uses deterministic analysis to pinpoint root causes and automatically resolve infrastructure issues, aiming for truly autonomous IT operations for SRE teams.
A new plugin for the Headlamp Kubernetes UI now supports Volcano, a popular batch scheduler for AI and high-performance computing. This gives developers a simple web interface to inspect and manage complex batch jobs directly within Kubernetes.
Vercel has launched a redesigned trace viewer for its Workflows tool. The update helps developers debug complex processes more quickly by making it easier to search, zoom, and inspect each step of a workflow run.
The technology eBPF allows developers to safely run custom programs inside the Linux kernel. This provides deep system visibility for performance and security monitoring without the risks or slow update cycles of traditional methods.
Elastic 9.4 now offers two ways to build custom integrations. A new no-code tool makes it faster for anyone, while a developer toolkit provides full control for complex needs, simplifying data ingestion from any source.
PagerDuty's Chief AI Officer warns that while AI accelerates code delivery, it also increases incidents. Most current AI tools for incident response lack a critical layer of operational context, making them less effective.
OpenTelemetry (OTel) offers a standard for telemetry data, promising vendor neutrality. However, a recent analysis highlights the complexities behind this promise. While OTel provides a common format, true neutrality is challenging as vendor-specific features can still lead to forms of lock-in.
Customer expectations are now set by digital giants like Google and Netflix. To meet these standards, companies need a unified view across tech, service, and business. Collaborative observability connects system performance directly to customer experience and business outcomes, enabling better, more aligned decision-making across teams.
CoreWeave's CTO, Peter Salanki, discussed the challenges of running AI in production. He highlighted the growing importance of observability, resource utilization, and scheduling for efficient operations. Salanki also advised teams to avoid the common mistake of over-architecting their systems too early.
AI experts are warning CIOs against deploying AI agents without proper governance and observability tools. Rushing into adoption without visibility into the agents' decision-making processes creates a "time bomb" with the potential for severe negative consequences, turning a potential productivity boost into a significant business risk.
Elastic and Anthropic have teamed up to bring Claude AI activity logs into Elastic Security. This helps security and IT teams monitor AI usage, detect risks, and investigate potential threats within their existing tools.
A new open-source tool called `virtbench` helps teams measure the performance of virtual machines running on Kubernetes. It fills a critical gap, as traditional tools don't capture the full picture of infrastructure performance.
Coralogix has secured $200 million in a new funding round. The company is betting on the growing need for tools that monitor, troubleshoot, and ensure the reliability of AI systems as they are deployed into production environments, highlighting the emerging market for AI observability.
JetBrains released Toolbox App 3.5, a significant update for developers. The new version introduces OpenTelemetry metrics for better monitoring of remote development connections, adds interface zooming for accessibility, and includes several reliability improvements to enhance the overall user experience.
A new Datadog report finds nearly 70% of companies now use three or more AI models, a significant shift towards multi-model strategies. This approach allows teams to select the best model for specific tasks, optimizing for factors like cost, latency, and operational risk across different workloads.
ClickHouse has announced major updates to its observability platform, ClickStack. The new releases include ClickStack Cloud in private preview, AI-powered Notebooks in beta, and a new MCP server. These changes aim to simplify setup, improve investigation, and enhance the platform's composability for developers and IT teams.
A CNCF blog post shares a real-world story about the 'integration tax' of cloud-native tools. An on-call engineer faced blank dashboards because Prometheus wasn't correctly configured to monitor Cilium, highlighting how complex integrations can cause serious production issues for engineering teams.
ClickHouse announced several major updates at its Open House 2026 event. Key developments include deeper integration with Postgres, new data ingestion tools called ClickPipes and ClickHouse Agents, and a partnership with Langfuse for LLM observability. The updates aim to simplify real-time data analytics.
ClickHouse has introduced ClickStack Cloud, a new serverless observability platform. It's a fully managed service built on the ClickHouse database, designed to handle logs, metrics, and traces. The platform uses a managed endpoint for OpenTelemetry data, allowing teams to analyze systems without managing infrastructure.
Elastic has released version 9.4.2 of the Elastic Stack. This is a security-focused update that addresses potential vulnerabilities found in previous versions. All users are strongly encouraged to upgrade their deployments to this latest version to ensure their systems remain secure and protected.
AI agent frameworks like CrewAI and AutoGen are moving from demos to production environments for tasks like incident response. This shift is creating a critical new challenge: a lack of established tools and practices for monitoring and observing these complex, multi-step AI systems in real-world applications.
The open-source tracing tool Jaeger now supports the ClickHouse database. This new integration is designed for large-scale telemetry, offering significant performance gains. In one test, it achieved an 8.6x compression rate on 10 million spans, helping teams better manage and store observability data.