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Logging Analytics

Oracle Cloud Infrastructure Logging Analytics is a machine learning-based cloud service that monitors, aggregates, indexes, and analyzes all log data from on-premises and multicloud environments. Enabling users to search, explore, and correlate this data to troubleshoot and resolve problems faster and derive insights to make better operational decisions.

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Monitor cloud logs or any other log

Oracle Cloud Infrastructure Logging Analytics makes it easy for users to unlock the value of log data for any source across on-premises, Oracle Cloud, and third-party clouds such as, AWS and Azure quickly and without involving data scientists.

Data log analytics and exploration

Logging analytics makes it easy for users to quickly find the “needle in the haystack” among millions of rows of logs

Visualize and analyze log patterns

With Logging Analytics, users select the visualizations they need and analyze only log patterns for outliers instead of manually browsing through thousands of logs containing millions of log entries.

Topology-aware exploration

Modern application architectures are distributed and elastic. This makes performance troubleshooting complex and time-consuming. Logging Analytics simplifies troubleshooting by enabling DevOps teams to keep up with dynamic application topologies and quickly explore relevant logs pertaining to the impacted environments and the time of the incident under investigation.

Curated machine learning algorithms

Logging Analytics relies on machine learning to rapidly identify patterns and anomalies log entries in your log data. Working with patterns and anomalies makes log exploration more efficient and root cause identification faster.

Data archival and recall

Archive and recall logs

Logging Analytics provides user-defined policies to meet compliance and retention requirements. As a result, organizations have complete control over data archive and recall.

Long-term retention at low cost

Using Oracle Cloud Infrastructure Logging Cloud Service, logs can be retained for long periods for as little as $0,05 per Gigabyte log storage per month.

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Parsers for heterogeneous technologies

Logging Analytics comes with a rich collection (250+) of out-of-box parsers for a wide variety of Oracle and non-Oracle technologies – both commercial and open source. It provides interpretation (such as error classification) of logs, ensuring faster time to insights and quick resolutions to performance issues.

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Logging Analytics customer successes

Kingold chose Oracle's observability and management solution to watch over the most important applications in their respective Cloud environments.

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December 1, 2022

Identity Cloud Services provides deep insights in cloud application usage activities

Mamatha Srinath, Principal User Assistance Developer, Oracle

Logging Analytics users now have a new reference architecture for collecting audit logs to get security and governance Insights from an Identity Cloud Service (IDCS) instance. The reference architecture leverages the functionality of other OCI services to present an integrated solution that simplifies the continuous log collection experience, enriches logs during ingestion, and processes and analyzes the logs.

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