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
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
