Chronosphere announced the availability of Chronosphere Lens, a new way to interact with metrics, traces, and events in a single, automatically generated, service-oriented view.
The company also announced Change Event Tracking and other features that empower developers with additional context and clarity. Collectively, these features are designed to help bring observability data into focus.
Chronosphere Lens brings familiar service-oriented observability principles to the cloud native era. Its main goal is to speak the language of developers, who today must keep track of not just how their system is architected and operated, but also how to use the observability tools that measure performance and reliability.
- By automatically generating and maintaining service-oriented views based on real-time cloud native telemetry streams, Chronosphere Lens offers a single, up-to-date, and consistent perspective of system health.
- The unified approach and seamless correlation of metrics, traces and events allows teams to pinpoint and resolve issues more efficiently, eliminating the cognitive dissonance often experienced with traditional tools, and ultimately reducing downtime and operational overhead.
- With less setup hassle, Chronosphere Lens enables engineering teams to focus more on what truly matters—building innovative, revenue-generating features that address customer needs.
Change Event Tracking is a set of features within Chronosphere that gives developers instant insight into what changes introduced problems across their infrastructure, applications or business, via integrations with various DevOps and PaaS tools.
- Chronosphere centralizes and correlates this information in the context of metrics and traces, offering a cohesive view and actionable information.
- Improved context around changes and anomalies directly contributes to faster problem-solving and improved developer productivity, freeing up resources for more innovative tasks.
“Chronosphere Lens simplifies observability for developers and ultimately helps engineering teams save time and reduce costs,” said Martin Mao, CEO and Founder, Chronosphere. “On top of building tools that are faster, more reliable, and more scalable, we also want to reduce operational complexity for our customers. Saving end users time, effort, and cognitive overhead is just as important to us as serving faster queries and providing industry-leading uptime.”
The Latest
Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...
The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...
As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...
We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...
Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...
Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...