Log Analysis

Centralised insights with real-time Log Analytics 

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Overview

Log Analysis is a scalable, centralized log analytics solution that delivers real-time collection, analysis, and actionable insights across diverse infrastructure and application environments. LaaS empowers DevOps, SREs, and operations teams to enhance observability, accelerate troubleshooting, and improve system reliability.

Pricing

To know more about the SKUs and pricing click below.

Core Features at a Glance 

Regex-based Parsing Configuration
Simplify log parsing with a guided interface and create advanced regex rules for precise data extraction and filtering.
Flexible Querying & Live Log Tail
Search logs in real-time using an auto-suggested query language and live log tail view—ideal for debugging and real-time troubleshooting.
Pattern-Based Log Recognition
Automatically detect recurring log patterns and group similar entries—streamlining anomaly detection and optimizing investigation time.
Logger-Level Classification
Classify logs by severity levels like FATAL, ERROR, WARNING, and INFO—enabling fast prioritisation of issues based on impact.
Detailed Log Event View
Explore granular log events and host-level metrics for detailed insights—empowering teams to make faster data-driven decisions.
Log Onboarding
Easily onboard system and application logs by selecting hosts, log paths, and categorizing logs by type—ensuring seamless data flow from source to analysis.

What You Get

Still have questions?

Yes, Log Analysis subscription is required to activate SIEM.
Log Analysis ingests logs from web servers, Kubernetes clusters, databases, storage devices and network devices. It restructures the raw data into a unified format, applies parsing rules, and provides actionable dashboards, alerts, and insights tailored to various stakeholders.

Developers can debug, monitor, and optimize applications through powerful query, filter, and parsing tools.

Admins manage ingestion, configuration, access control, and security while ensuring platform health.

Ops Teams monitor real-time performance and address issues using alerts and dashboards to maintain uptime.

Security Teams can detect threats, respond to incidents, and conduct forensic log analysis using advanced security logging features.

Log Analysis supports structured and unstructured logs across formats such as JSON, text, Syslog, and custom schemas. It ingests logs from microservices, containers, cloud platforms, VMs, and legacy systems.
Yes. Log Analysis is cloud-native and horizontally scalable, capable of handling millions of log entries daily across distributed systems. It ensures performance remains high even as data volume grows.
Yes. Log Analysis provides an intuitive interface for defining custom parsing rules using regular expressions.
Log Analysis offers flexible pricing based on log volume, retention duration, and query hit. This allows organisations to control costs while scaling as needed.

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