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    Why Bronto

    A new way to do observability

    Three purpose-built layers, stacked to deliver outcomes nothing else can match.

    BrontoDBIntelligence LayerAccess Layer

    Step 1:Send 100% of your data, full fidelity, no blindspots, always hot.

    Up to 90% lower storage cost

    Purpose-built columnar storage replaces expensive hot tiers.

    10x faster search

    Sub-second queries across petabytes — no rehydration.

    1 year retention by default

    Keep a full year of hot, queryable data, included.

    No blind spots

    Full coverage of logs, metrics, and traces — nothing dropped.

    Petabyte scale

    Scales horizontally without re-architecting your stack.

    Full fidelity, no sampling

    Every byte stored exactly as received.

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    Bronto loves scale. And fast answers.

    Store 10x more data at up to 95% lower cost — and get faster MTTR, less downtime, and instant answers across every byte.

    Logs

    Search Your Logs Instantly

    Filter terabytes of logs in sub-seconds with smart SQL autocomplete and keyboard-driven shortcuts.

    Traces

    Trace Every Request End-to-End

    Follow requests across every service, queue, and database. Pinpoint latency and errors with distributed tracing and flame graphs.

    Metrics

    High-Cardinality Metrics, No Limits

    Collect, store, and query infrastructure and application metrics with full granularity. 12-month retention out of the box, with sub-second queries even at high cardinality.

    Dashboards

    Insanely Quick Dashboards

    Drag-and-drop dashboards rendered in seconds, even over petabytes. Start from suggested templates or build your own.

    Usage Explorer

    Full Transparency Into Usage & Cost

    See exactly how your data is being used and by whom. Break down ingest, storage, and queries per team, service, or user, so you stay in control of cost and value.

    Alerting

    Intelligent Alerting & Reporting

    AI-tuned alerts cut noise and surface what matters, with shareable reports that turn every incident and trend into clear, actionable insight.

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    Get started in minutes.

    Send data from anywhere with OTEL-native ingestion, get every field automatically structured, parsed, and searchable, and start exploring with pre-built dashboards, alerts, and searches from day one.

    Send Data
    OpenTelemetry
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    Bronto

    OTEL Native & Agent Agnostic

    Ingest from OpenTelemetry, Fluentd, Fluent Bit, Vector, Datadog agents, and more. No lock-in.

    Parse

    All Your Data Structured & Parsed

    Logs are parsed at ingestion using known formats or AI, so every field is structured and instantly searchable.

    Explore

    Pre-built Dashboards, Alerts & Searches

    Start instantly with curated dashboards, alerts, and saved searches for common services and frameworks.

    See how Bronto drives better outcomes for humans and agents

    Chat to our team or get started with a free demo.

    Bronto AI does the hard work, so you can keep building.

    AI is embedded throughout the entire platform — removing toil, surfacing root causes, and helping your team find answers in seconds, not hours.

    ERRORcdn_mock_data cdn_test_005/06/2026, 18:25:29.814
    InvestigateAnalysis complete

    Root Cause Analysis Report

    Generated: May 06, 2026 17:26:00 Window: Apr 29 → May 06

    1. Analysis

    Primary Issue

    Sustained, high-volume backend receive errors (BG-ERROR-RECV) returning HTTP 503 across the API fleet.

    Scope Description
    • Total errors: ~7.1M across the 7-day window, 20 buckets
    • Volume is consistently massive — ~343K to ~371K per bucket, indicating a chronic, systemic failure
    • Signature (BG-ERROR-RECV, HTTP 503) points to Fastly edge failing to receive a valid response from origin (api.host78.us.example.com)
    • Protocol anomaly: request_protocol: "UDP" — invalid for HTTP API endpoint
    • Edge: fastly_is_edge: true — failure at edge tier before app layer
    • Response time: 3643ms — requests stalling at backend before drop
    • Trend: slight decline mid-window (Apr 30–May 02 ~360K) then rebounding sharply (May 05–06 ~371K) — worsening

    2. Hypothesis & Next Steps

    Probable Cause

    Backend origin servers behind Fastly are failing to handle TCP connections reliably — likely origin pool exhaustion, a crashing upstream, or a network-level issue preventing edge nodes from completing the handshake. The UDP protocol field suggests either malformed requests forwarded to origin (misconfigured VCL) or a logging pipeline bug masking the true protocol.

    Immediate Next Steps
    1. Investigate the UDP anomaly at Fastly. Review VCL config for api.host78.us.example.com; pull real-time logs filtered to cache-iad-kcgs_* to check if errors concentrate on specific PoPs (especially IAD).
    2. Assess origin server health. Check CPU, memory, file descriptors, and connection queue depth. Review app logs from May 05 17:00 → May 06 17:26 for crash loops, OOM events, or dependency failures.

    Report confidence: High — volume consistency and error signature indicate a reproducible failure mode requiring parallel edge and origin investigation.

    Related queries

    • service:api status:503 host:"api.host78.us.example.com"
    • fastly_is_edge:true error_code:BG-ERROR-RECV
    • pop:cache-iad-kcgs_* response_time:>3000
    Errors / hour (7d)503 · BG-ERROR-RECV
    Apr 29May 02May 06
    Inbox · 1 of 248

    [Bronto] Investigation Report · New org created in US

    Bronto
    Bronto<reports@bronto.io>9:57 AM
    to me
    Bronto
    Investigation Report
    Generated automatically by Bronto AI
    Resolved

    A new organization was created in the US which triggered the "New org created in US" monitor. Trial setup completed successfully and no anomalies or service issues were detected.

    What happened

    The monitoring workflow detected the creation of a new organization in the US region and automatically generated an investigation report. The system successfully created the organization, customer account, user account, and trial limits without interruption.

    Why it happened

    This investigation was triggered intentionally by the "New org created in US" monitor. The monitor notifies the team whenever a new trial organization is provisioned in production. The behavior matches expected onboarding activity.

    Troubleshooting suggestions

    No immediate action is required. Recommended follow-up: validate welcome email delivery, monitor early ingestion activity, and confirm billing and trial entitlements remain correctly applied over the next 24 hours.

    09:57:25Organization createdSuccess
    09:57:26Customer record createdSuccess
    09:57:28User account createdSuccess
    09:57:35Trial setup completedSuccess
    Severity
    Low
    Region
    US
    Duration
    10s
    Impact
    None
    Investigation ID · inv_01HNK77
    You're receiving this because you subscribed to the "New org created in US" monitor.
    Raw Logs
    20 lines
    12026-05-06T15:50:29.023Z [INFO] payment-svc PUT /api/v1/orders 201 89ms tid=ae082847-7c3a-41 uid=usr_7cnszl – Request processed successfully
    22026-05-06T15:50:32.023Z [INFO] api-gateway PUT /api/v1/payments 400 791ms tid=773c4702-1d37-48 uid=usr_6xjqtf – Authentication token validated
    32026-05-06T15:50:35.023Z [ERROR] payment-svc GET /api/v1/orders 200 652ms tid=cb18b186-cc39-49 uid=usr_st05bj – Request processed successfully
    42026-05-06T15:50:38.023Z [DEBUG] payment-svc POST /api/v1/auth/login 400 851ms tid=c51e1053-4d29-41 uid=usr_zeg1z5 – Rate limit threshold approaching
    52026-05-06T15:50:41.023Z [WARN] auth-service DELETE /api/v1/health 500 851ms tid=6cbfce21-94aa-49 uid=usr_rix8ib – Rate limit threshold approaching
    62026-05-06T15:50:44.023Z [DEBUG] order-service DELETE /api/v1/auth/login 500 329ms tid=991c6b2e-290e-4e uid=usr_tf7nqi – Request processed successfully
    72026-05-06T15:50:47.023Z [ERROR] auth-service DELETE /api/v1/payments 400 207ms tid=21bc8db6-faca-4a uid=usr_4yhgbp – Rate limit threshold approaching
    82026-05-06T15:50:50.023Z [INFO] api-gateway POST /api/v1/orders 201 142ms tid=f47ac10b-58cc-4a uid=usr_k3m9wp – Authentication token validated
    92026-05-06T15:50:53.023Z [WARN] payment-svc GET /api/v1/payments 200 998ms tid=b7d2c891-3f12-49 uid=usr_8nv2qs – Request processed successfully
    102026-05-06T15:50:56.023Z [ERROR] auth-service PUT /api/v1/health 500 412ms tid=a92e0c14-9b88-4d uid=usr_pl4xtb – Rate limit threshold approaching
    112026-05-06T15:50:59.023Z [INFO] order-service POST /api/v1/orders 201 76ms tid=5e1f8a73-2c44-41 uid=usr_q9c1zr – Request processed successfully
    122026-05-06T15:51:02.023Z [DEBUG] payment-svc GET /api/v1/payments 200 583ms tid=c2d9b6e0-7f33-48 uid=usr_h7d3yf – Authentication token validated
    132026-05-06T15:51:05.023Z [INFO] api-gateway DELETE /api/v1/auth/login 400 921ms tid=e8b4f3a1-4d28-42 uid=usr_b2x8mn – Rate limit threshold approaching
    142026-05-06T15:51:08.023Z [WARN] auth-service PUT /api/v1/health 500 305ms tid=3a7c9d2e-1b55-4f uid=usr_v4w6ks – Request processed successfully
    152026-05-06T15:51:11.023Z [ERROR] payment-svc POST /api/v1/orders 201 188ms tid=8f2e1a6c-9c77-43 uid=usr_j1n5pq – Authentication token validated
    162026-05-06T15:51:14.023Z [INFO] order-service GET /api/v1/payments 200 754ms tid=d4b8e7f0-3a99-45 uid=usr_t8r2lc – Request processed successfully
    172026-05-06T15:51:17.023Z [DEBUG] api-gateway PUT /api/v1/auth/login 400 432ms tid=1c5b9e8d-6e22-4a uid=usr_g6f9hd – Rate limit threshold approaching
    182026-05-06T15:51:20.023Z [INFO] payment-svc DELETE /api/v1/health 500 611ms tid=9b3d6f2a-8c11-49 uid=usr_m3e7vb – Request processed successfully
    192026-05-06T15:51:23.023Z [WARN] auth-service POST /api/v1/orders 201 95ms tid=7e2a4b1c-5d66-48 uid=usr_y5u1xa – Authentication token validated
    202026-05-06T15:51:26.023Z [ERROR] order-service GET /api/v1/payments 200 488ms tid=2f8c1d9e-4b33-47 uid=usr_o2k4wn – Request processed successfully
    Parsed Logs
    10 fields detected
    #timestamplevelservicemethodpathstatusdurationtrace_iduser_idmessage
    12026-05-06T15:50:29.023ZINFOpayment-svcPUT/api/v1/orders20189ae082847-7c3a-41usr_7cnszlRequest processed successfully
    22026-05-06T15:50:32.023ZINFOapi-gatewayPUT/api/v1/payments400791773c4702-1d37-48usr_6xjqtfAuthentication token validated
    32026-05-06T15:50:35.023ZERRORpayment-svcGET/api/v1/orders200652cb18b186-cc39-49usr_st05bjRequest processed successfully
    42026-05-06T15:50:38.023ZDEBUGpayment-svcPOST/api/v1/auth/login400851c51e1053-4d29-41usr_zeg1z5Rate limit threshold approaching
    52026-05-06T15:50:41.023ZWARNauth-serviceDELETE/api/v1/health5008516cbfce21-94aa-49usr_rix8ibRate limit threshold approaching
    62026-05-06T15:50:44.023ZDEBUGorder-serviceDELETE/api/v1/auth/login500329991c6b2e-290e-4eusr_tf7nqiRequest processed successfully
    72026-05-06T15:50:47.023ZERRORauth-serviceDELETE/api/v1/payments40020721bc8db6-faca-4ausr_4yhgbpRate limit threshold approaching
    82026-05-06T15:50:50.023ZINFOapi-gatewayPOST/api/v1/orders201142f47ac10b-58cc-4ausr_k3m9wpAuthentication token validated
    92026-05-06T15:50:53.023ZWARNpayment-svcGET/api/v1/payments200998b7d2c891-3f12-49usr_8nv2qsRequest processed successfully
    102026-05-06T15:50:56.023ZERRORauth-servicePUT/api/v1/health500412a92e0c14-9b88-4dusr_pl4xtbRate limit threshold approaching
    112026-05-06T15:50:59.023ZINFOorder-servicePOST/api/v1/orders201765e1f8a73-2c44-41usr_q9c1zrRequest processed successfully
    122026-05-06T15:51:02.023ZDEBUGpayment-svcGET/api/v1/payments200583c2d9b6e0-7f33-48usr_h7d3yfAuthentication token validated
    132026-05-06T15:51:05.023ZINFOapi-gatewayDELETE/api/v1/auth/login400921e8b4f3a1-4d28-42usr_b2x8mnRate limit threshold approaching
    142026-05-06T15:51:08.023ZWARNauth-servicePUT/api/v1/health5003053a7c9d2e-1b55-4fusr_v4w6ksRequest processed successfully
    152026-05-06T15:51:11.023ZERRORpayment-svcPOST/api/v1/orders2011888f2e1a6c-9c77-43usr_j1n5pqAuthentication token validated
    162026-05-06T15:51:14.023ZINFOorder-serviceGET/api/v1/payments200754d4b8e7f0-3a99-45usr_t8r2lcRequest processed successfully
    172026-05-06T15:51:17.023ZDEBUGapi-gatewayPUT/api/v1/auth/login4004321c5b9e8d-6e22-4ausr_g6f9hdRate limit threshold approaching
    182026-05-06T15:51:20.023ZINFOpayment-svcDELETE/api/v1/health5006119b3d6f2a-8c11-49usr_m3e7vbRequest processed successfully
    192026-05-06T15:51:23.023ZWARNauth-servicePOST/api/v1/orders201957e2a4b1c-5d66-48usr_y5u1xaAuthentication token validated
    202026-05-06T15:51:26.023ZERRORorder-serviceGET/api/v1/payments2004882f8c1d9e-4b33-47usr_o2k4wnRequest processed successfully
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    “Bronto fundamentally changed how we think about logging. We went from treating logs as a necessary evil — expensive, unreliable, and limited — to making them a key asset. The combination of unlimited retention, lightning-fast search, and AI-powered insights means we catch issues much earlier, often before customers notice them. But the real transformation is cultural: every team now has access to the data they need, when they need it.”

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    “Bronto's long-term always-hot days mean we can access data with sub-second search, whether it's from last week or last year. This is huge for our security and AI strategy as we continue to revolutionize how we work at Nitro. For AI-powered analysis of our logs, data availability is key — it's just not possible with only a few days of retention. Bronto has become a key part of our toolkit when we think of log data and how it will play an important role for engineering, security and product teams going forward.”

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    CTO

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    “Tasks that used to take 15 minutes are now almost instant. I find myself using Bronto much more than the previous tool simply because it's faster and more responsive. I can quickly ask questions and get immediate answers, which makes it easier to explore insights that were previously hard to uncover. With a year's worth of data retention instead of just 90 days, I can now identify annual trends and patterns I couldn't see before. This extended retention opens the door for much deeper analytics.”

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    Brian Elliott

    Senior Engineering Manager, SaaS Services

    Case study

    “It's a night and day difference to our previous logging provider. Bronto typically returns results in seconds, while our old vendor took over 30 minutes and frequently failed to render visualizations. Bronto has come a long way with everything from usage to UI. Our users are getting what they're looking for.”

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    Jaymin Patel

    Team Lead

    Case study

    “The TCO reduction is significant — we're saving hundreds of thousands annually. But the real value is in new and significantly enhanced capabilities. A significant reduction in time to root cause, investigating issues from months ago, having logs actually available during incidents — these aren't just improvements, they're game-changers. Our SysOps team now get to work on platform innovation instead of keeping Graylog alive.”

    Teamwork.com icon

    Aodh O'Mahony

    Engineering Manager

    Case study

    “Bronto fundamentally changed how we think about logging. We went from treating logs as a necessary evil — expensive, unreliable, and limited — to making them a key asset. The combination of unlimited retention, lightning-fast search, and AI-powered insights means we catch issues much earlier, often before customers notice them. But the real transformation is cultural: every team now has access to the data they need, when they need it.”

    Teamwork.com icon

    Paul Griffin

    Head of Platform Engineering

    Case study

    “Bronto's long-term always-hot days mean we can access data with sub-second search, whether it's from last week or last year. This is huge for our security and AI strategy as we continue to revolutionize how we work at Nitro. For AI-powered analysis of our logs, data availability is key — it's just not possible with only a few days of retention. Bronto has become a key part of our toolkit when we think of log data and how it will play an important role for engineering, security and product teams going forward.”

    Nitro icon

    John Fitzpatrick

    CTO

    Case study

    “Tasks that used to take 15 minutes are now almost instant. I find myself using Bronto much more than the previous tool simply because it's faster and more responsive. I can quickly ask questions and get immediate answers, which makes it easier to explore insights that were previously hard to uncover. With a year's worth of data retention instead of just 90 days, I can now identify annual trends and patterns I couldn't see before. This extended retention opens the door for much deeper analytics.”

    Nasuni icon

    Brian Elliott

    Senior Engineering Manager, SaaS Services

    Case study

    “It's a night and day difference to our previous logging provider. Bronto typically returns results in seconds, while our old vendor took over 30 minutes and frequently failed to render visualizations. Bronto has come a long way with everything from usage to UI. Our users are getting what they're looking for.”

    Contentstack icon

    Jaymin Patel

    Team Lead

    Case study

    “The TCO reduction is significant — we're saving hundreds of thousands annually. But the real value is in new and significantly enhanced capabilities. A significant reduction in time to root cause, investigating issues from months ago, having logs actually available during incidents — these aren't just improvements, they're game-changers. Our SysOps team now get to work on platform innovation instead of keeping Graylog alive.”

    Teamwork.com icon

    Aodh O'Mahony

    Engineering Manager

    Case study

    “Bronto fundamentally changed how we think about logging. We went from treating logs as a necessary evil — expensive, unreliable, and limited — to making them a key asset. The combination of unlimited retention, lightning-fast search, and AI-powered insights means we catch issues much earlier, often before customers notice them. But the real transformation is cultural: every team now has access to the data they need, when they need it.”

    Teamwork.com icon

    Paul Griffin

    Head of Platform Engineering

    Case study

    “Bronto's long-term always-hot days mean we can access data with sub-second search, whether it's from last week or last year. This is huge for our security and AI strategy as we continue to revolutionize how we work at Nitro. For AI-powered analysis of our logs, data availability is key — it's just not possible with only a few days of retention. Bronto has become a key part of our toolkit when we think of log data and how it will play an important role for engineering, security and product teams going forward.”

    Nitro icon

    John Fitzpatrick

    CTO

    Case study

    “Tasks that used to take 15 minutes are now almost instant. I find myself using Bronto much more than the previous tool simply because it's faster and more responsive. I can quickly ask questions and get immediate answers, which makes it easier to explore insights that were previously hard to uncover. With a year's worth of data retention instead of just 90 days, I can now identify annual trends and patterns I couldn't see before. This extended retention opens the door for much deeper analytics.”

    Nasuni icon

    Brian Elliott

    Senior Engineering Manager, SaaS Services

    Case study

    “It's a night and day difference to our previous logging provider. Bronto typically returns results in seconds, while our old vendor took over 30 minutes and frequently failed to render visualizations. Bronto has come a long way with everything from usage to UI. Our users are getting what they're looking for.”

    Contentstack icon

    Jaymin Patel

    Team Lead

    Case study

    “The TCO reduction is significant — we're saving hundreds of thousands annually. But the real value is in new and significantly enhanced capabilities. A significant reduction in time to root cause, investigating issues from months ago, having logs actually available during incidents — these aren't just improvements, they're game-changers. Our SysOps team now get to work on platform innovation instead of keeping Graylog alive.”

    Teamwork.com icon

    Aodh O'Mahony

    Engineering Manager

    Case study

    Scale more, pay less, fix faster