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
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 ...
