OBSERVE

Full Stack Observability

Logiq is a full-stack observability data fabric. Our platform uses AIML capabilities to analyze log data in real time, allowing organizations to identify issues and optimize the performance of your systems.
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Full-stack observability is the ability to monitor and understand the behavior of an entire system, including the frontend, backend, and infrastructure. It is a key aspect of modern system design because it enables organizations to identify and troubleshoot issues in real-time, as well as optimize the performance and reliability of their systems.

Logiq is a full-stack observability data fabric. Our platform uses AIML capabilities to analyze log data in real time, allowing organizations to identify issues and optimize the performance of your systems.

Detect anomalies in log data: This is important because it allows organizations to identify issues as they occur, rather than waiting for them to become more severe. By detecting anomalies early, organizations can prevent problems from escalating and minimize their impact on the system.

Get context for log data: This is achieved through the use of metadata, which is additional information that is associated with log data. By providing context for log data, organizations can more easily understand the causes of issues and take appropriate action to resolve them.

Analyze your API flows, troubleshoot issues, and understand API usage: Essentially, get API Observability into your infrastructure.

To analyze API flows, LOGIQ.AI may collect data on API requests and responses, including information about the endpoints being called, the parameters being passed, and the payloads being sent and received. It may also track metrics such as response times and error rates. This data can be used to identify trends and patterns in API usage, as well as to detect issues or bottlenecks in the API flow.

To troubleshoot issues, Logiq uses this data to pinpoint the root cause of problems and suggest solutions. It may also provide tools for debugging API calls, such as the ability to replay requests or view request and response payloads.

To understand API usage, we provide tools for visualizing API data and metrics, such as graphs and charts that show API usage over time or breakdowns of API calls by endpoint or client. It may also provide reports and other forms of analysis to help users understand how their APIs are being used and how they can optimize their API design and implementation.

Additionally, Logiq provides Kubernetes Monitoring capabilities as well. To provide end-to-end observability for Kubernetes, Logiq.ai offers a range of features such as real-time monitoring, alerting and notifications, and visualization tools to help users understand and troubleshoot issues in their applications and clusters. We also provide hassle-free integrations with other tools and platforms, such as Prometheus and Grafana, to provide a complete view of an application’s performance and behavior.

Logs

Utilize real-time alerting and monitoring that scales with your systems to organize and analyse your logs without the need for indexing and to fully exploit the insights contained in your data.

  • Live data transformation, enrichment, and parsing
  • Extract metrics from unindexed logs
  • Clump noisy logs into templates

Metrics

Envision your business-level logic using all available metadata, including infrastructure, network, security, and application metrics.

  • Connect metrics to all observable data
  • Advanced alerting using PromQL syntax
  • Create personalized data maps to track system health

Traces

Get end-to-end event and performance insights across distributed architectures utilizing in-stream tracing analysis, as well as the full context of all your observability data.

  • Keep an eye on latency and scattered data flows
  • Display dependencies with the complete data context
  • Identify data filtering and aggregation problems

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