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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:

  1. Best Practice Monitoring Setup & Maintenance

  2. Intelligent Alert Routing & Response Management

  3. AI-Powered Issue Resolution

  4. End-User Experience Monitoring

  5. Service Level Management & Governance

Key Features

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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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