AI SRE and DBA for Your Data Stores
Your always-on 24x7 AI SRE provides agentic root-cause analysis, remediation recommendations, and cost & workload optimizations for Elasticsearch and OpenSearch.
Your AI-Powered SRE and DBA, Always On Duty
Pulse acts as your dedicated AI SRE and DBA for Elasticsearch and OpenSearch, providing expert-level monitoring, troubleshooting, and optimization around the clock. Get the benefits of a world-class SRE team without the overhead.
Agentic Root-Cause Analysis
AI That Thinks Like Your Best SRE
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Autonomous Investigation: Our agentic AI doesn't just detect problems—it actively investigates them, correlating logs, metrics, and configurations to pinpoint exact root causes.
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Expert-Level Remediation: Receive detailed, step-by-step remediation recommendations based on Elasticsearch and OpenSearch best practices and your specific cluster configuration.
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Context-Aware Solutions: The AI understands your cluster's unique characteristics, workload patterns, and historical behavior to provide tailored solutions that actually work.
Always-On 24x7 Monitoring
Your Vigilant AI SRE Never Sleeps
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Round-the-Clock Vigilance: Pulse monitors your Elasticsearch and OpenSearch clusters 24x7, tracking thousands of metrics and patterns to catch issues the moment they emerge.
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Proactive Issue Detection: The AI identifies emerging problems before they become critical, giving you time to address issues during business hours instead of during emergencies.
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Intelligent Alerting: Get notified only about genuine issues that require attention, with every alert including full context and recommended actions.
Cost & Workload Optimization
Continuous Optimization Like a Top-Tier DBA
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Smart Cost Reduction: The AI continuously analyzes your infrastructure spend and identifies opportunities to reduce costs without sacrificing performance or reliability.
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Workload Optimization: Automatically identify expensive queries, inefficient index patterns, and resource bottlenecks, then receive specific recommendations to optimize them.
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Automated Right-Sizing: Get continuous recommendations on cluster sizing, shard allocation, and resource distribution based on actual usage patterns and workload demands.