9.1 Users Management and RBAC

9.2 Authentication and Security

9.3 Data Management and Data Model Handling 

9.3.1 Storage

9.3.2 Retention

9.3.3 Export/Import 

Resource Management

Import Data

9.3.4 Working with Data Model
9.3.5 Data Extraction

9.4 Control Center

9.4.1 License Entitlements

9.5 Platform Settings

9.5.1 Definitions

9.5.2 Preferences

9.5.3 About

Data Onboarding and Instrumentation >

1. Introduction to vuSmartMaps™

2. Getting Started with vuSmartMaps™

3. Installing vuSmartMaps™

4. Configuring vuSmartMaps™

Observability Sources

Data Pipeline and Parser Configuration

Data Enrichment Techniques

Onboarding Applications and Business Journeys
Configuring RCABot and ML Models

Tuning Hyperparameters and Model Training

5. Observability Through vuSmartMaps™

Dashboards and Visualization 

Business and Operational Storyboard
RCA Storyboard

Alert Console and Correlation

Alerts and Notification

Rule-based and Dynamic threshold-based Alerts

Programmable Alerts

Notifications and Triggers

Alert Customization Notification

RCABot and ChatBot Interactions

Ved – Gen AI Bot

Comprehensive Reporting

Log Management and Analysis

Application Observability

Journey Observability

6. Understanding vuSmartMaps™

Platform Architecture and Key Services
Insights from Logs, Traces and Metrics
How domain-centric approach enables better RCA and ML insights?
Security and Compliance

7. Administering vuSmartMaps™

Dashboard Creation

Visualizations 

Panels

Custom Panels

• UTM Visualization

• Matrix Visualization

• Insights

Alert Creation

Data Source Management

Report Generation

Data Onboarding and Instrumentation

Mobile Dashboard Configuration

9. Managing vuSmartMaps™

Users Management and RBAC

Authentication and Security

• Data Management and Data Model Handling 

Storage

Retention

• Export/Import 

• Resource Management

• Import Data

Working with Data Model
Data Extraction

• Control Center

License Entitlements

• Platform Settings

Definitions

Preferences

About

10. Glossary

11. Support and Troubleshooting

Data Onboarding and Instrumentation

Introduction

In the field of observability, vuSmartMaps™ distinguishes itself as a comprehensive platform, particularly focusing on Observability Sources (O11ySources) — a crucial aspect explored in-depth in this section. It guides organizations through a seamless journey, from data onboarding to actionable insights.

Enabling Seamless Data Onboarding with O11ySources

The cornerstone of data onboarding in vuSmartMaps is the utilization of O11ySources. Each data source is equipped with its dedicated O11ySource module, playing a pivotal role in seamlessly ingesting data from target systems and ensuring a resilient data acquisition process. Organizations can kickstart the data onboarding journey by following the “Get Started” guide of the respective O11ySource, configuring data sources and target systems to send data to vuSmartMaps. Upon enabling the O11ySource, users activate the data pipeline, enrichment, connectors, orchestration agent (if available)[k][l], sample storyboards, and alerts—all achieved with a simple enable action. This distinctive approach not only streamlines the data onboarding process but also highlights vuSmartMaps’ differentiator in effortlessly enabling all necessary components through O11ySources.

Read more about the O11ySources and their streamlined enablement process in vuSmartMaps here.

Data Adaptors: Contextualizing Raw Data

Data Adaptors play a pivotal role in contextualizing raw data captured from target systems. As the data flows through the O11ySource into the data pipeline, it undergoes processing to extract meaningful and required fields of interest. For instance, in the context of web server logs, these fields could include information such as IP addresses, response codes, and user agents. In the case of application metrics, relevant fields might encompass response times, error rates, and resource utilization. This process of contextualization is facilitated by predefined and standard data parsers available in vuSmartMaps. Additionally, organizations can leverage the flexibility to create configurable data adaptors based on specific requirements, ensuring that the ingested data aligns with the desired context.

Explore how Data Adaptors in vuSmartMaps streamline the contextualization of raw data, ensuring meaningful insights aligned with your specific requirements. For more details on data streams and parser configuration, visit here.

Onboarding Data for Logs

Log management and analysis are crucial aspects of vuSmartMaps for achieving top-notch observability in IT operations. Using O11ySources, the platform easily brings in log data from different sources, making the onboarding process straightforward. vuSmartMaps utilizes logs for transaction observability, effectively identifying failures within seconds and providing detailed insights into transaction contexts. For example, it can swiftly pinpoint issues such as a sudden spike in response times, high error rates during specific operations, or resource bottlenecks within the transaction flow, offering comprehensive insights for rapid issue resolution and performance optimization. This enables smooth navigation through interconnected systems. The platform’s log analytics expedites issue resolution, offering detailed reports on slow and error traces within minutes. Explore further details on logs onboarding and the O11ySources workflow here.

Onboarding Data for Metrics

With various O11ySources tailored for different metrics, vuSmartMaps utilizes the ingested data to measure various metrics, providing a comprehensive business context for the status of touchpoints involved. Each O11ySource is strategically employed to measure distinct metrics, creating a nuanced and detailed perspective on system performance and health. For example, response time metrics help gauge the efficiency of critical processes, error rates indicate potential issues, throughput metrics offer insights into overall system capacity, latency metrics highlight delays in data processing, and resource utilization metrics track the usage of system resources.

Instrumenting Traces for Application Observability

For application observability, vuSmartMaps utilizes vuTraces, which collects trace data for both infrastructure and application observability. By utilizing tracing libraries for popular programming languages, vuTraces tracks key metrics like request rate, error rate, and duration (RED Metrics) to pinpoint performance bottlenecks. vuTraces supports various programming languages including Java, NodeJS, Go, and .NET. The platform offers both manual and auto instrumentation methods.

Implementing vuTraces requires integrating client libraries and following instrumentation guides. Sizing considerations, including application load, node count, and VM capacity, are crucial for optimal scaling on the vuSmartMaps platform, with load balancing configured through the OTel SDK for efficient data transmission.

To delve deeper into application observability with vuTraces, explore more here.

Further Reading

  1. Explore vuSmartMaps’ revolutionary approach to simplifying application and business journey onboarding, providing comprehensive insights for optimizing user experiences.
  2. O11ySources Guide – Master O11ySources within the vuSmartMaps platform with this essential resource, providing in-depth insights into data onboarding.
  3. Explore more on data streams and parser configuration in vuSmartMaps.
  4. APM Guide – Your comprehensive companion to vuSmartMaps’ Application Performance Monitoring (APM) module. Walk through all the features and functionalities to enhance your observability journey.

Resources

Browse through our resources to learn how you can accelerate digital transformation within your organisation.

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