Concepts¶

Explanations of TrueWatch components, features, clients, mobile, versions, and billing.

Components¶

TrueWatch components include the front-end console Studio, data gateway DataWay, data collection agent DataKit, and extensible programming platform Func.

Component	Description
Studio	Studio is the console of TrueWatch, supporting comprehensive query and analysis of collected data.
DataWay	DataWay is the data gateway of TrueWatch, mainly used to receive data sent by DataKit and then report it to the center for storage.
DataKit	DataKit is the real-time data collection agent of TrueWatch, supporting hundreds of data collection types. DataKit sends collected data to the DataWay gateway, which then reports it to the center for storage and analysis. DataKit needs to be deployed in the user's own IT environment and supports multiple operating systems. Default collection frequency: 5 minutes
Func	Func, also known as DataFlux Func, is the extensible programming platform of TrueWatch, used for function development, management, and execution. It is simple to use, just write code and publish, automatically generating HTTP API interfaces for functions. Official built-in script libraries are available for easy invocation by TrueWatch.

Features¶

Includes scenarios, events, infrastructure, metrics, logs, application performance, user access, synthetic tests, etc., providing full-chain data analysis and insights for collected data.

Feature	Description
Integrations	TrueWatch supports over a hundred data collectors, including HOST, CONTAINERS, logs, Nginx, APM, RUM, etc. Just install DataKit to start real-time collection of different data and report it to the TrueWatch workspace for data analysis. You can view how to install Datakit, Func, DCA, and mobile in integrations.
Scenes	Supports visual chart display of collected data in scenes, currently supporting three display methods: Dashboards, Notes, and Explorers. Dashboards: Dashboards are composed of multiple visual charts, used to simultaneously view and analyze various data related to a theme, providing comprehensive information. Layout and chart size can be freely adjusted. Notes: Notes are composed of text documents and other visual charts, with a fixed layout from top to bottom. Data analysis and summary reports can be conducted through text and image combinations. Explorers: Here you can quickly build log explorers, supporting custom addition of statistical charts, setting default display properties and filter conditions, customizing your log viewing needs. Built-in Views: Includes System Views and User Views. System Views are official view templates, while User Views are custom views created and saved as templates by users, supporting cloning from System Views, and can be used for scene and explorer detail view binding.
Events	Events are generated by monitors, intelligent inspections, SLOs, system operations, and Open API writes. Supports real-time monitoring, unified query, unrecovered event statistics, and data export for all source-triggered events. Event data can trace anomalies that occurred in a past time period.
Infrastructure	The physical infrastructure for data collection, currently supporting the collection of entities such as HOST, CONTAINERS, processes, and K8s.
Metrics	Measurement: A collection of the same type of metrics, generally with the same metric tags within a measurement. A measurement can contain multiple metrics. Metrics: Metrics help understand the overall availability of a system, such as server CPU usage, website load time, remaining disk space, etc. Metrics consist of a metric name and a metric value. The metric name is an alias identifying the metric, and the metric value is the specific numerical value of the metric at collection time. Tags: A collection of attributes identifying the object of a data point. Tags consist of a tag name and a tag value. A data point can have multiple tags. For example, when collecting the metric `CPU usage`, attributes such as `host`, `os`, and `product` are identified, and these attributes are collectively called tags. Time Series: The number of all combinations based on tags in the reported metric data within the current workspace. In TrueWatch, a time series is composed of metrics, tags (fields), and data storage duration. "Metrics" and "combinations of tags (fields)" are the primary keys for data storage.
Logs	Used to record real-time operation or behavior data generated by systems or software, supporting front-end visualization, filtering, and analysis.
Application Performance Monitoring	Tracks and statistics the time spent by services processing requests, request status, and other attribute information, used for application performance monitoring.
Real User Monitoring	Real User Monitoring refers to collecting data related to the real experience and behavior of users when they interact with your website and application. TrueWatch supports Web, mobile (Android & IOS), and mini-program four types of real user monitoring.
Synthetic Tests	Uses globally distributed test nodes to periodically monitor websites, domains, API interfaces, etc., through HTTP, TCP, ICMP, and other protocols. Supports analyzing site quality by viewing availability and latency trend changes.
CI	TrueWatch supports visualization of CI processes and results built into Gitlab. You can view all CI visualized Pipelines and their success rates, failure reasons, and specific failure stages in TrueWatch, helping you ensure code updates.
Monitoring	Monitors: By configuring detection rules, trigger conditions, and event notifications, receive alarm notifications in the first place, promptly discover and solve problems. Includes threshold detection, mutation detection, interval detection, outlier detection, log detection, process anomaly detection, infrastructure survival detection, application performance metrics detection, user access metrics detection, synthetic testing anomaly detection, and network data detection. Intelligent Inspection: Based on the intelligent algorithms of TrueWatch, automatically detects and predicts infrastructure and application problems, helping users discover issues in IT system operations, and quickly locates the root cause of anomalies through root cause analysis. SLO: SLO monitoring revolves around various DevOps metrics, testing whether system service availability meets target needs. It not only helps users monitor the quality of services provided by service providers but also protects service providers from SLA violations.
Workspace	The collaborative space for data insights in TrueWatch, each workspace is independent. Users can query and analyze data in the workspace, supporting joining one or more workspaces through creation/invitation.
DQL	DQL (Debug Query Language) is the data query language of TrueWatch. Users can use DQL query syntax in TrueWatch to query metric/log data and then visualize the data in charts.
Pipeline	Pipeline is the data processing tool of TrueWatch. By defining parsing rules, it supports cutting metrics, logs, user access, application performance, basic objects, resource catalogs, network, and other data into structured data that meets requirements.

Client DCA¶

Client DCA (DataKit Control App) is the online management platform for DataKit, supporting viewing DataKit operation status, and unified management and configuration of collectors, blacklists, and Pipeline.

Mobile APP¶

TrueWatch Mobile APP supports receiving event alarm notifications on mobile devices, viewing all scene views and log data in the workspace, and easily completing data analysis insights anytime, anywhere.

Versions¶

TrueWatch provides Free Plan, Commercial Plan, and Deployment Plan.

Version	Description
Free Plan	Register to experience the features of TrueWatch.
Commercial Plan	The SaaS public version on the cloud, pay-as-you-go, ready to use out of the box. Just install DataKit and configure relevant data collectors to complete observability access. For billing rules, refer to Billing Method.
Deployment Plan	Independent SaaS cloud deployment and PaaS local deployment, requiring users to prepare their own service resources, with the highest level of data security, providing more service support.

Billing¶

TrueWatch provides a dedicated billing account management platform Billing Center, where you can recharge your account, view account balance and bill details, bind workspaces, change settlement methods, etc.

For explanations of billing methods and billing items, refer to the document Billing Method.

Feature	Description
Settlement Method	The billing settlement method of TrueWatch, supporting TrueWatch enterprise accounts, cloud accounts, and other settlement methods. TrueWatch Enterprise Account: The TrueWatch Billing Center is a dedicated account for managing billing-related matters of using TrueWatch products. One enterprise account can be associated with multiple workspace billings. Cloud Account: The TrueWatch Billing Center supports Amazon Cloud accounts, Alibaba Cloud accounts, and Huawei Cloud accounts. Users can choose the bound cloud account for billing settlement.
Account Management	TrueWatch Billing Center account management, including account information changes, password modification, real-name authentication, and cloud account management.
Workspace Management	Management of workspaces bound to the TrueWatch Billing Center account. One account can bind multiple TrueWatch workspaces. In workspace management, the settlement method of TrueWatch workspaces can be modified.
Billing Management	TrueWatch Billing Center billing management, including monthly bills, consumption details, income and expenditure details, voucher details, and package details management.
Support Center	The support center of TrueWatch. Users can submit and manage tickets in the support center. The TrueWatch technical expert team will contact users promptly to solve problems after receiving tickets.