Intelligent inspection – multi-cloud business inspection and anomaly prediction

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What problems does intelligent inspection solve?

Common stability risks are accumulated into automated inspections to detect problems early

Many failures already have trend signals before they occur, such as capacity approaching, resource idleness, increasing error types, data delays, or cost anomalies. Intelligent inspection consolidates these experiences into rules and scripts, automatically analyzing indicators, logs, links, cloud resources, and business data in the Guance to help teams address risks in advance.

01Official patrol warehouseCovering multi-cloud, infrastructure, cloud-native, and application scenarios
02Business inspectionAnalyze frontend, microservices, pipeline, and business data anomalies
03Custom patrol inspectionsExpand team-specific rules based on Func and observational data

Multi-cloud and infrastructure risks are first automatically detected using the official inspection database

Intelligent inspection can synchronize multi-cloud assets, cloud monitoring, cloud logs, and cloud billing data, automatically checking cloud resources, hosts, containers, capacity, costs, and key resource status. Teams can detect resource saturation, critical resource anomalies, idle hosts, Spot instance risks, and cloud bill anomalies, reducing manual inspection costs.

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Multi-cloud and infrastructure risks are first automatically detected using the official inspection database

Application and business anomalies can also be turned into automated inspection tasks

Intelligent inspection supports front-end discovery of new error types, performance diagnostics, microservice root cause analysis, and data pipeline integrity checks. For R&D and SRE teams, it can bring common troubleshooting experience up front to the inspection stage, reducing the passive situation of only starting evidence collection after a failure occurs.

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Not enough official rules? Use Func to write your own business patrol for the team

Teams can customize based on official inspection scripts or develop business-level inspections based on Guance data, such as order anomalies, data delays, interface quality, missed transactions, and other scenarios. By combining timing processing functions and algorithmic capabilities, intelligent inspection can carry the team's own stability experience.

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Not enough official rules? Use Func to write your own business patrol for the team

Frequently asked questions

What is intelligent inspection?

Intelligent inspection is the ability to automatically analyze system risks based on observation data and inspection rules, used to detect issues such as capacity, performance, cost, data quality, and business anomalies in advance.

What is the difference between intelligent inspection and monitoring alarms?

Monitoring alerts usually trigger notifications when indicators or events meet certain conditions; Intelligent inspections tend to proactively analyze trends, hidden dangers, and complex issues regularly or according to rules, helping teams detect risks before failures occur.

Can intelligent inspections be customized?

Yes, you can. Teams can customize based on official inspection scripts or use DataFlux Func and Guance data to develop business-level inspection rules.

Which teams are intelligent inspections suitable for?

It is suitable for SREs, operations, platform engineering, cloud infrastructure, and business technology teams, especially for organizations looking to automate and standardize manual inspection experiences.

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