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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."

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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."

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A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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