What is your Key focus areas? *
AI Workflow and Operations
Data Management and Operations
AI Governance
Analytics and Insights
Observability
Security Operations
Risk and Compliance
Procurement and Supply Chain
Private Cloud AI
Vision AI
Interested in Solving your Challenges with XenonStack Team
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Get Started with your requirements and primary focus, that will help us to make your solution
Capablities
End-to-End Visibility
Gain unified visibility into applications, infrastructure, and services to understand performance across cloud-native and hybrid environments
Real-Time Monitoring
Track metrics, logs, and traces in real-time to proactively detect issues before they impact end users or business operations
AI-Powered Alerting
Use anomaly detection and machine learning to create intelligent alerts, reducing false positives and enabling faster incident response
Context-Rich Dashboards
Build dynamic, interactive dashboards that correlate data across systems, offering teams actionable insights to resolve issues swiftly
Transform Your Operations with Intelligent Observability
Gain real-time visibility into your systems to quickly detect, diagnose, and resolve issues before they impact users. By analyzing data across your entire stack, teams can optimize performance, reduce downtime, and make informed decisions faster
01
Trace requests across microservices and APIs to quickly pinpoint performance bottlenecks and failures, reducing mean time to resolution
02
Aggregate and index logs from multiple sources to analyze system behaviors, security events, and operational trends in one unified platform
03
Capture system, application, and custom metrics to monitor health, forecast trends, and trigger auto-remediation policies for continuous reliability
04
Define SLOs aligned with business goals and track error budgets to ensure engineering teams prioritize reliability and performance objectives effectively
Observability Pillars for Resilient Systems
Telemetry-Driven Architecture
Integrate logs, metrics, and traces to gain a holistic view of system behavior and uncover interdependencies across complex applications
OpenTelemetry Standardization
Adopt open-source observability standards to collect and export telemetry data across platforms, tools, and cloud vendors
Automated Correlation and Insights
Leverage correlation engines that tie related alerts, logs, and metrics together, enabling quick diagnostics and automated decision support
Experience Monitoring (RUM + Synthetic)
Measure user experience through real-user monitoring and synthetic testing to proactively address performance issues and usability gaps
Xenonstack Insights
SRE and Observability Integration
Site Reliability Engineering in Practice
Enable reliability through actionable observability insights aligned with SRE principles like SLIs, SLOs, and error budgets
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Security Observability
Threat Detection and Incident Intelligence
Combine observability with security analytics to detect anomalies, assess risks, and enable rapid forensic investigation
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Business Observability
Measure What Matters
Track business KPIs and digital experience alongside technical telemetry for a unified operational and customer-centric view
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Data Pipeline Observability
Monitor Data Flow and Quality
Ensure data reliability with visibility into streaming, batch, and ETL pipelines to detect lags, failures, and data anomalies early
Competencies
Observability Benefits
Quickly identify and resolve issues with end-to-end visibility across systems, applications, and infrastructure. It helps reduce downtime, improve performance, and enhance user experiences by enabling data-driven insights and faster root cause analysis
Proactive Incident Management
Detect and resolve issues early with real-time alerting and automated diagnostics, minimizing business disruption and customer impact
Operational Transparency
Enable engineering and business teams to understand system behavior through correlated telemetry and shared dashboards
Improved System Reliability
Maintain consistent uptime and availability with performance baselines, error budgets, and system-wide health metrics
Faster Mean Time to Resolution (MTTR)
Quickly identify and isolate root causes with unified tracing, metrics, and log analysis, reducing resolution time significantly
Optimized User Experience
Track frontend and backend performance to ensure seamless digital journeys and improve customer satisfaction through continuous performance tuning
Data-Driven Decision Making
Leverage comprehensive observability data to guide infrastructure improvements, capacity planning, and strategic investments, ensuring smarter, faster decisions across IT and business operations
Strengthen Data Reliability
Building a reliable Infrastructure supports enterprises in developing self-reliant solutions and reducing inconsistent data
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Accelerate Data Processing
Optimize Data processing query time and empower automated End-to-End data quality monitoring
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