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.

Architecture and components
Inbound and outbound integrations
Security, Compliance and Scale
Log aggregation, management & analytics
Application & infrastructure metrics
Trace transactions between distributed services
Converge and analyze any data source
Optimize spend and remediate faster
Improve compliance and interpret better
Supercharge analytics and improve predictions
Send right data to right target every time
Instantly replay historical data to any target
Petabyte-scale indexing and instant retrieval
Instantly search and visualize at petabyte-scale
Instantly replay historical data to any target
Benefits of Operational Data Lake
One-up your Elastic cost with LOGIQ
Level up your AWS Observability
Topology-based Observability/Data Fabric
Achieve 100% pipeline-control with FLOW
IoT Observability with LOGIQ
FREE e-books on technology and observability topics
Learn how to use LOGIQ with our quick start guide
See how we stack against other vendors
Get the most out of LOGIQ though these video demos.
Learn more about LOGIQ in these product briefs.
Articles and guides that help you make data-driven decisions
Benefits of Operational Data Lake
One-up your Elastic cost with LOGIQ
Level up your AWS Observability
Topology-based Observability/Data Fabric
Achieve 100% pipeline-control with FLOW
IoT Observability with LOGIQ
Money, shares, credit, investments
Comply with industry regulations
Get control over Datadog observability
Facilitate the provision of healthcare to patients
Diagnose and troubleshoot complex problems
Reduce index and resource requirements in ELK deployment
Physical objects with sensors, processing ability, software etc.
Maintain high reliability for your business
Reduce Splunk costs, simplify long-term retention
Film, television, radio, print, and gaming
Secure hybrid cloud operations and protect your business
Reduce Sumo Logic costs and simplify long-term retention
Sale of goods and services to consumers
Benefits of Operational Data Lake
One-up your Elastic cost with LOGIQ
Level up your AWS Observability
Topology-based Observability/Data Fabric
Achieve 100% pipeline-control with FLOW
IoT Observability with LOGIQ
Step-by-Step instructions for common tasks
Step-by-Step instructions to deploy LOGIQ in Kubernetes
Learn more
Integrate with automation and scripted worflows.
Deploy LOGIQ on AWS using CloudFormation
FREE e-books on technology and observability topics
Get the most out of LOGIQ though these video demos.
Learn how to use LOGIQ with our quick start guide
Learn more about LOGIQ in these product briefs.
Articles and guides that help you make data-driven decisions
See how we stack against other vendors
Learn more
Step-by-Step instructions for common tasks
Free dashboards for popular applications
Integrate with automation and scripted worflows.
Step-by-Step instructions to deploy LOGIQ in Kubernetes
Deploy LOGIQ on AWS using CloudFormation
Run LOGIQ in a Docker Compose sandbox
OBSERVE
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.
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.
Envision your business-level logic using all available metadata, including infrastructure, network, security, and application metrics.
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.
The client is an online video & AI-enabled SaaS platform
that helps sales guys sell better over video calls.
Reduction in security analysis reporting time
Faster, easy and holistical data visualization
Queries on month-old data returned in under 5 seconds
Converged logs from AWS services
75TB of logs per month, 30K EPS, peak load of 160GB/h
Ingested and retained 2.5x more data at half the cost with zero storage tax
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