Skip to main content

Chronosphere Differential Diagnosis Introduced

Chronosphere announced the launch of new capabilities to improve the lives of on-call engineers.

Designed to vastly improve the developer experience and time to remediation, new features include Chronosphere Differential Diagnosis (DDx) for distributed tracing and Chronosphere Lens updates for cross-telemetry insights.

Chronosphere also previewed its upcoming advanced Service Level Objective (SLO) management capabilities planned for general availability in Q1 2025.

Differential Diagnosis is a powerful and flexible new trace analysis tool that transforms the troubleshooting process. It enables any developer to quickly identify the likely cause of service slowness or failure in complex microservices-based systems without writing a single query. Now, on-call engineers can solve problems in minutes or seconds, not hours, and without proprietary agents.

With a user-friendly interface, DDx simplifies hypothesis formation and testing. By ranking and highlighting the most probable sources of issues, DDx enables developers to quickly test their hypotheses and pivot if needed. This rapid analysis leads to faster root cause identification and, ultimately, quicker problem resolution.

Using open-source standards for data collection, Chronosphere's observability platform enables cloud-native developers to focus on the most impactful customer issues and understand the problem faster. DDx is currently available to analyze distributed trace data and will be rolled out for other telemetry data types in the future.

The company also announced additional capabilities to provide incremental benefits:

- Faster Time to Insight:The latest Chronosphere Lens features give customers a unified, multi-telemetry visualization of services and microservices. Developers gain a comprehensive understanding of their application's health and performance without the need for proprietary agents or complicated workflows.

- Proactive Issue Prevention: Advanced Service Level Objective management includes simplified SLO creation capabilities. Teams can better align development efforts with business objectives and prioritize resolving the most impactful customer-facing issues.

"We are improving life for on-call incident response teams who work with microservices and Kubernetes architectures," said Jeff Cobb, Global Head of Product and Design at Chronosphere. "With these new capabilities, engineers and developers can uncover key issues faster and use simplified workflows that allow them to diagnose issues in a repeatable, optimized way. The new functionalities are open source compatible to fully leverage existing and future software without increased cost or complexity."

The Latest

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 ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

Chronosphere Differential Diagnosis Introduced

Chronosphere announced the launch of new capabilities to improve the lives of on-call engineers.

Designed to vastly improve the developer experience and time to remediation, new features include Chronosphere Differential Diagnosis (DDx) for distributed tracing and Chronosphere Lens updates for cross-telemetry insights.

Chronosphere also previewed its upcoming advanced Service Level Objective (SLO) management capabilities planned for general availability in Q1 2025.

Differential Diagnosis is a powerful and flexible new trace analysis tool that transforms the troubleshooting process. It enables any developer to quickly identify the likely cause of service slowness or failure in complex microservices-based systems without writing a single query. Now, on-call engineers can solve problems in minutes or seconds, not hours, and without proprietary agents.

With a user-friendly interface, DDx simplifies hypothesis formation and testing. By ranking and highlighting the most probable sources of issues, DDx enables developers to quickly test their hypotheses and pivot if needed. This rapid analysis leads to faster root cause identification and, ultimately, quicker problem resolution.

Using open-source standards for data collection, Chronosphere's observability platform enables cloud-native developers to focus on the most impactful customer issues and understand the problem faster. DDx is currently available to analyze distributed trace data and will be rolled out for other telemetry data types in the future.

The company also announced additional capabilities to provide incremental benefits:

- Faster Time to Insight:The latest Chronosphere Lens features give customers a unified, multi-telemetry visualization of services and microservices. Developers gain a comprehensive understanding of their application's health and performance without the need for proprietary agents or complicated workflows.

- Proactive Issue Prevention: Advanced Service Level Objective management includes simplified SLO creation capabilities. Teams can better align development efforts with business objectives and prioritize resolving the most impactful customer-facing issues.

"We are improving life for on-call incident response teams who work with microservices and Kubernetes architectures," said Jeff Cobb, Global Head of Product and Design at Chronosphere. "With these new capabilities, engineers and developers can uncover key issues faster and use simplified workflows that allow them to diagnose issues in a repeatable, optimized way. The new functionalities are open source compatible to fully leverage existing and future software without increased cost or complexity."

The Latest

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 ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...