What is Temperstack?
Temperstack is an advanced AI-powered Site Reliability Engineering (SRE) platform that revolutionizes how organizations manage their infrastructure and application reliability.
By seamlessly integrating with existing monitoring tools, Temperstack provides comprehensive visibility and automated response capabilities across your entire technology stack. The platform goes beyond traditional monitoring by combining artificial intelligence with SRE best practices to proactively identify, prevent, and resolve potential service degradation and downtime before they impact end users.
Through its intelligent automation and AI-driven insights, Temperstack helps organizations maintain optimal service levels while reducing operational overhead and alert fatigue.
The platform operates through five integrated functionality pillars:
Best Practice Monitoring Setup & Maintenance
Intelligent Alert Routing & Response Management
AI-Powered Issue Resolution
End-User Experience Monitoring
Service Level Management & Governance
Key Features
Best Practice Monitoring Setup & Maintenance
Automated Discovery Engine: Automatically identifies all infrastructure and application components requiring monitoring
Alert Comprehensiveness (ALCOM) Score: Measures and tracks monitoring coverage from 0-100
Automated Alert Setup: Programmatically deploys missing alerts based on best practices
Continuous Monitoring Maintenance: Daily scans detect disabled alerts and new resources
Alert Optimization: AI-driven threshold adjustment to reduce false positives while maintaining coverage
Intelligent Alert Routing & Response Management
Service Mapping: Auto-discovers and groups related infrastructure and applications
Team Schedule Management: Manages rotation schedules and shift policies across time zones
Multi-Channel Integration: Routes alerts through email, Slack, Microsoft Teams, and WhatsApp
Escalation Management: Configures and enforces escalation rules for unresponsive scenarios
Context Enrichment: Provides troubleshooting guidelines and system context with each alert
AI-Powered Issue Resolution
Dynamic Runbooks: Auto-generates and updates resolution guides based on system changes with each alert
Root Cause Analysis (RCA) tool: Standardises RCA capture & tracks resultant actions to completion
Knowledge Base: Codifies tribal knowledge and learns from successful resolutions
Pattern Recognition (upcoming): Suggests probable root causes based on Alerts fired during an incident
End-User Experience Monitoring
Ping Monitoring: Real-time availability checks from user perspective
Response Time Tracking: Measures and analyzes service performance
API Endpoint Verification: Confirms availability of critical service endpoints
Impact Correlation (upcoming) : Links application and infrastructure issues to user experience
Performance Trending: Tracks and analyzes historical performance patterns
Service Level Management & Governance
SLI/SLO Dashboard (upcoming): Real-time visibility into service level performance
Compliance Tracking (upcoming) : Automated monitoring of SLA compliance
Performance Analytics: Tracks MTTA, MTTR, and 95th percentile metrics
Automated Reporting: Generates stakeholder-specific performance reports
Policy Enforcement: Ensures adherence to governance standards
Supported Platforms
Datadog
New Relic
Splunk
AWS CloudWatch
Google Cloud Operations Suite
Azure Monitor
PagerDuty
Opsgenie
Appdynamics
Dynatrace
Oracle Cloud Infrastructure Monitor
Future Development
Temperstack is committed to expanding platform support based on customer feedback, ensuring a comprehensive and tailored solution for diverse organizational needs.
Benefits
Improved system uptime (>99.99%)
Enhanced focus on core business objectives
Optimized use of existing observability infrastructure
Streamlined incident management processes
Identifies the missing alerts on both infrastructure and application services using existing monitoring tools
Automates the setup and deployment of alerts with a single click.
When an alert is triggered, it notifies the on-call engineers through email, slack, and phone.
Along with the notification, it provides contextual instructions powered by AI to debug, resolve, and mitigate the issues.
Continuously analyzes alerts and optimizes the thresholds to detect potential incidents and prevent alert fatigue.
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