From 709ec3aa5f2f1bb12e319d5e407e7dd15e81f493 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Wed, 10 Sep 2025 12:47:28 +0000 Subject: [PATCH 1/2] Initial plan From 839cd32b08e52d8f3b3888f1d3318b7ca6e980fd Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Wed, 10 Sep 2025 12:56:29 +0000 Subject: [PATCH 2/2] Add Dynatrace critical issues analysis report Co-authored-by: dt-benedict <128492875+dt-benedict@users.noreply.github.com> --- dynatrace-critical-issues.md | 172 +++++++++++++++++++++++++++++++++++ 1 file changed, 172 insertions(+) create mode 100644 dynatrace-critical-issues.md diff --git a/dynatrace-critical-issues.md b/dynatrace-critical-issues.md new file mode 100644 index 0000000..d182865 --- /dev/null +++ b/dynatrace-critical-issues.md @@ -0,0 +1,172 @@ +# Dynatrace Environment Critical Issues Analysis + +**Analysis Period:** Last 24 hours +**Report Generated:** September 10, 2025 +**Environment:** Production System with Multiple Services + +## Executive Summary + +This report analyzes critical issues in the Dynatrace-monitored environment, focusing on the most impactful problems that require immediate attention. The analysis covers error events, service health, and infrastructure concerns that could affect system availability and user experience. + +## 🚨 Critical Issues Identified + +### 1. **High Volume of Error Events - CRITICAL** + +**Issue Details:** +- **110+ ERROR_EVENT occurrences** in the last 24 hours +- **Frequency:** Approximately every 5-6 minutes consistently +- **Pattern:** Systematic recurring errors suggesting underlying system issues +- **Impact:** High - Continuous error generation indicates service degradation + +**Affected Timeline:** +- Started: September 9, 2025 at 12:53 UTC +- Ongoing: Last occurrence at 12:50 UTC today +- Duration: Over 24 hours of continuous errors + +**Fix Recommendations:** +1. **Immediate Action:** Investigate the root cause of recurring ERROR_EVENT +2. **Escalate** to development teams for urgent code review +3. **Implement monitoring alerts** to catch similar patterns earlier +4. **Consider rollback** if recent deployment caused this pattern +5. **Review error handling mechanisms** to prevent cascading failures + +--- + +### 2. **Frequent Error Log Generation - HIGH PRIORITY** + +**Issue Details:** +- **Multiple ERROR-level log entries** every few minutes +- **Content Pattern:** Mix of "local-dev-server" and "Ingested log via api" errors +- **Source:** API ingestion pipeline (/api/v2/logs/ingest) +- **Impact:** Medium-High - Indicates API or ingestion system issues + +**Error Patterns Observed:** +- API ingestion errors: "Ingested log via api" +- Local development server errors: "local-dev-server" +- All errors have status: "ERROR" with consistent pipeline routing + +**Fix Recommendations:** +1. **Investigate API ingestion endpoint** for performance issues +2. **Review log ingestion pipeline configuration** (logs:default) +3. **Check rate limiting** and throttling mechanisms +4. **Validate authentication/authorization** for API requests +5. **Implement circuit breaker patterns** for API resilience + +--- + +### 3. **Service Architecture Health Concerns - MEDIUM PRIORITY** + +**Issue Details:** +- **11 active services** detected in environment +- **No host monitoring data** available (potential monitoring gap) +- **Service list includes:** productcatalogservice, frontend, cartservice, adservice, etc. + +**Services at Risk:** +- `productcatalogservice` - Core business functionality +- `frontend` / `frontend-web` - User experience critical +- `cartservice` - E-commerce transaction processing +- `loadgenerator` - Performance testing component + +**Fix Recommendations:** +1. **Enable host-level monitoring** to get infrastructure visibility +2. **Implement service health checks** for each critical service +3. **Set up service dependency mapping** to understand failure impacts +4. **Configure SLI/SLO monitoring** for business-critical services +5. **Establish baseline performance metrics** for each service + +--- + +## 📊 Monitoring Gaps Identified + +### Infrastructure Visibility +- **Missing:** Host-level CPU, memory, and disk usage monitoring +- **Missing:** Network performance and connectivity metrics +- **Missing:** Database performance indicators + +### Application Performance +- **Missing:** Service response time measurements +- **Missing:** Transaction error rate tracking +- **Missing:** User experience monitoring + +### Alerting Configuration +- **Missing:** Proactive alerting for error patterns +- **Missing:** Service availability thresholds +- **Missing:** Business impact alerting + +--- + +## 🛠️ Immediate Action Plan + +### Priority 1 (Next 4 hours) +1. **Investigate ERROR_EVENT pattern** - Assign to senior engineer +2. **Review recent deployments** that might have caused the error spike +3. **Check API ingestion pipeline** health and configuration +4. **Implement emergency monitoring** for critical services + +### Priority 2 (Next 24 hours) +1. **Enable host-level monitoring** across all infrastructure +2. **Configure service health dashboards** +3. **Set up alerting rules** for detected error patterns +4. **Document incident response procedures** + +### Priority 3 (Next week) +1. **Implement comprehensive SLI/SLO framework** +2. **Establish monitoring best practices** documentation +3. **Create runbooks** for common failure scenarios +4. **Schedule regular monitoring health reviews** + +--- + +## 🔧 Recommended Monitoring Enhancements + +### Alerting Rules to Implement +```yaml +- Name: "High Error Event Rate" + Condition: "ERROR_EVENT count > 10 in 1 hour" + Severity: Critical + +- Name: "API Ingestion Failure" + Condition: "Log ingestion errors > 5 in 15 minutes" + Severity: High + +- Name: "Service Unavailability" + Condition: "Service response rate < 95% for 5 minutes" + Severity: Critical +``` + +### Dashboard Components +- Error rate trends by service +- Service availability matrix +- Infrastructure resource utilization +- Business transaction success rates + +--- + +## 📈 Long-term Monitoring Strategy + +### 1. Observability Maturity +- Implement distributed tracing across services +- Add business KPI monitoring +- Establish proactive performance baselining + +### 2. Automation & Self-Healing +- Auto-scaling based on performance metrics +- Automated incident response workflows +- Self-healing capability for common failures + +### 3. Continuous Improvement +- Regular monitoring effectiveness reviews +- Performance optimization based on insights +- Team training on observability best practices + +--- + +## 📞 Contact Information + +**For Critical Issues:** +- Escalate immediately to: DevOps Team Lead +- Emergency Contact: On-call Engineer +- Incident Management: Operations Team + +**Report Generated by:** Dynatrace Analysis Tool +**Next Review:** September 11, 2025 \ No newline at end of file