Cloudwise Log Analytics

Realize the collection, processing, storage, query, and analytics of PB-level and discrete logs from multiple sources based on the big data technology and intelligent algorithms.

Scenarios

Centralized data management

Provide unified log management service and support the centralized collection, processing, storage, and query of discrete logs. This can free users from log management and help users focus on mining values of log data.

Operations monitoring

Log monitoring

Configure processes including alert rule configuration, alert trigger, alert inhibition, alert event distribution, and alert event processing to achieve log monitoring and alerting.

Log anomaly detection

Proactively find anomalies in massive logs and analyze the causes based on the Log Parsing algorithm instead of relying on experience of operations experts. This can effectively reduce the monitoring stability risks caused by staff turnover, adapt to business log changes, and realize the monitoring on different business scenarios more efficiently to enhance the efficiency of fault troubleshooting and maintenance in log operations as well as ensure the business continuity of customers.

Operations analytics

Log tracing

The business-oriented service topology display, service analytics, and full-trace tracking help operations personnel to track transaction traces, quickly analyze root causes of system performance consumption, and accurately locate abnormal requests.

Correlated log query

Establish correlated models of different business systems to enable query of correlated logs generated from business systems involved in the business processes. This can help operations personnel analyze problems from a global view and shorten the fault location time.

Security and audit

Compliance audit

Satisfy enterprise needs of compliance and audit through functions such as grouping storage, backup, and security event monitoring of logs.

Data desensitization

Built-in with multiple common desensitization rules to satisfy enterprise needs. The desensitization rules can be customized and regular expressions are also supported to meet privacy requirements of different enterprises in different scenarios.

Product advantages

Mainstream log data collection

Cloudwise Data Collector (CDC) is used to collect log data of IT devices and software such as network devices, security devices, operating systems, databases, middleware, and business systems. CDC can adapt to multiple types of databases and is easy to be operated, reducing the time and labor costs spent in log collection.

Highly reliable log storage

High-performance deep column-based storage clusters are used to meet the data storage requirements under the PB-level data scale with ultra-high compression ratios and lower storage costs.

Global search of logs

Search by elements such as phrases, regular expressions, field values, value ranges, logical operators, and special characters is supported for users to start quickly.

Intelligent alerts

Built-in with multiple intelligent algorithms including wave detection, auto value detect, dynamic baseline detect, and auto select to improve alert accuracy.

Global topology analytics from business view

Analyze the trace topology of the overall service process from a business view based on the trace logs to analyze service requests of each process, view the trend of each business process, and find problems contained in the processes.