Unlock the Full Potential of Your Applications with Comprehensive Trace Analytics from Logit.io.
Microservices and other distributed software architectures need trace analytics to ingest and visualize OpenTelemetry data within a tool such as hosted OpenSearch. Ingesting and centralizing traces allows users to identify performance bottlenecks and events with distributed architectures. By using Logit.io you can easily manage trace ingestion, retention, and costs with full visibility of your billing.
Identify problems and correlate events with the full context of data by monitoring service dependencies and health metrics throughout your systems.
Experience real-time monitoring, analysis, and reporting of high-granularity data and custom metrics, displaying throughput, availability, reliability, and error rates by using our all-in-one observability platform.
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When a single user action can easily trigger a complicated series of knock-on events across front-end and back-end services, trace analytics allows you to discover any issues that may have happened within this sequence of events.
This series of events can be referred to as traces. A set of traces is called a distributed transaction. As one of the main pillars of observability (logs, metrics, and traces), tracing is vital for monitoring transaction level tracking. Because of the limitations of manual debugging for analyzing traces, it is beneficial to use a robust analytics platform for analyzing what can often be massive amounts of data. Logit.io aims to help you discover patterns versus outliers, establish correlations, and derive insights that would otherwise be buried within individual traces.
Common analytics use cases include service dependency graphs, critical path analysis, error analysis, latency analysis, and anomaly detection. In order to troubleshoot high latency or error requests, trace analytics can be used by engineers. Additionally, trace analytics can determine the root cause of code issues by breaking down time spent on CPU, garbage collection, lock contention, and improving CPU utilization. While logs and metrics remain significant, ultimately it's going to be tracing that will solve the transaction processing issues that your system is encountering.
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Ioannis Sintos, Co-Founder & CIO - Uizard
Logit.io offers our company an excellent solution of ingesting our logs, we recently had to do quite a few updates on the platform since the previous service owner in our company left and didn't want to do them, Logit.io was of great assistance throughout the whole process.
Thierry Gysin, Co-Founder & CIO - Ringier
Using Trace analytics alongside Logit.io's Hosted OpenSearch solution, you can automatically generate a service map that shows how your systems are connected. The purpose of trace groups is to enable users to group traces, monitor performance and identify issues sooner.
With Logit.io's deployment tracking features, releasing code is safer and more efficient. Improve code-level visibility across web, mobile, and cloud-native applications, including microservices, serverless, and other modern cloud-native technologies.
Anomalies and outliers can also be flagged in our platform using daily, weekly, and as they happen alerts.
A trace tells a complete story about a request or transaction, whereas metrics provide a high-level view of whether the system works as expected without explaining why. In contrast, logs provide fine-grained details about events such as timestamps and ordering of events.
Using traces over logs is often said to be more sophisticated because you are often able to work with more added context against your events. Trace data can be filtered and visualized based on application, subsystem, service, and action. By using Logit.io, you can analyze tracing data grouped by service to pinpoint exactly where a problem originated by filtering for traces exceeding a given latency.
With observability traces seamlessly integrated into Logit.io's platform, you gain even deeper insights into the behavior of your system, allowing for more precise troubleshooting and optimization.
As long as there are changes being made to the application, changes being deployed at a fast pace, and changes in user behavior, there will always be production issues. Logit.io can help you resolve these issues. Regardless of your role, even if you don't know much about the application, Logit.io can provide insight into what's causing performance issues.
The Logit.io platform offers tracing insights that go beyond static diagrams and provide real-time, actionable intelligence into how your data moves and evolves across your infrastructure. Whether you're dealing with microservices, APIs, or legacy systems, tracing insights empower you to track every transaction, identify performance bottlenecks, and optimize your data flow for maximum efficiency.
With Observability tracing, you're not just monitoring your systems; you're gaining deep, granular insights into every aspect of your applications, infrastructure, and user interactions. Similar to gaining a comprehensive map of your entire system's behavior in real time, allowing you to pinpoint bottlenecks, optimize performance and deliver a seamless user experience like never before.
Observability tracing doesn't just stop at surface-level metrics. It goes beyond traditional monitoring by providing rich, contextual data that connects the dots between different components of your system. From microservices to distributed architectures, Observability Tracing empowers you to understand the intricate relationships between various elements, making troubleshooting a breeze and enabling proactive decision-making.
OpenTelemetry (OTel) combined with Logit.io makes end-to-end observability easy. Using OpenTelemetry, engineers can essentially standardize any data coming from any source.
A secure, compliant, and production-ready distribution of the OpenTelemetry project, Logit.io for OpenTelemetry provides unified analysis and complete centralization of any kind of telemetry data.
Since all major observability vendors are required to support the OpenTelemetry protocol, choosing an analysis service that is already OpenTelemetry-compliant is crucial to future-proofing your operations.
Find out more about OTel
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