Replace uninformative metrics and overwhelming dashboards with statistically-driven insights derived from aggregate trace data analysis. Latency histograms let you discover, categorize, and isolate distinct performance behaviors. Historical context, even for tags and operations you never thought to monitor, makes it easy to understand what’s normal and what’s not. Automatically correlate thousands of distributed traces to eliminate guesswork and explain regressions in seconds. Enable your team with more than just a basic trace viewer.
Examine complete traces from web and mobile clients down to low-level services and back. Automated critical path detection lets you quickly jump to the bottlenecks with related tags, log payloads, and error information presented inline for context.
Monitor any facet of your application no matter how fine-grained the criteria whether it's a specific service, operation, release version, or even an individual customer. There are no limits on cardinality. Every anomaly is captured so you never have to worry about missing an outlier that matters.
Snapshots are precise, detailed views of system performance at a given point in time, including thousands of traces. Snapshots are automatically created so you can revisit past system behavior even if you didn’t think to save it at the time. Sharing Snapshots makes it easy to bring teammates up to speed during live incidents and eliminates the need for individual recollections during post-mortems.
Reduce mean time to understanding with interactive service diagrams that help you visualize service dependencies and latency contributions. These service diagrams are dynamically filterable and annotated with contextual evidence that allow you to focus your analysis on the subset of your architecture that’s relevant to the actual problem you’re trying to solve, unlike traditional full-system maps that are static, high-level views of sampled system state with limited interaction capabilities.
[x]PM analyzes 100% of unsampled transaction data from highly-distributed, large-scale
production software to produce complete end-to-end traces and robust metrics that explain
performance behaviors and accelerate root cause analysis.
Satellites (on premise) can analyze a near-limitless amount of data and communicate insights continuously to the LightStep Engine. Satellites run within your environment and network region. They can scrub PII or other sensitive information before it exits your environment.
LightStep Engine (SaaS) uses statistical models and custom configurations to intelligently surface important events like errors and unusual latency spikes. It securely stores detailed Snapshots of system behavior, timeseries data, and distributed traces.
LightStep [x]PM is designed from its foundations to address the challenges
faced by enterprises building and operating increasingly complex software at scale.
Shareable full system Snapshots are captured for every anomaly, giving you rich context about the incident, ending the guessing game, and allowing you to resolve on-call incidents faster than ever.
Automated critical path detection lets you jump to the bottleneck and focus on optimizations precisely where the end user will experience the difference.
Quickly detect reliability issues in staging environments and canaries to prevent outages in production and keep your CI/CD efforts on track.
Proactively manage custom SLAs and SLOs. Never let a customer find out you have a problem before you do.
Built on open standards, including OpenTracing and OpenCensus support
Single sign-on and role-based access controls
Comprehensive APIs and data portability
Heterogeneous programming language, framework, and mobile platform support
Technical customer success team you can count on
Pricing not based on consumption or data volume
Director of Engineering, InVision