BrontoBronto

The Intelligent
Observability
Data Platform

All your data+intelligence applied
=better outcomes
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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
Bronto logs screenshot — Search Your Logs InstantlyBronto logs dark mode screenshot — Search Your Logs Instantly

Search Your Logs Instantly

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

Traces
Bronto traces screenshot — Trace Every Request End-to-EndBronto traces dark mode screenshot — Trace Every Request End-to-End

Trace Every Request End-to-End

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

Metrics
Bronto metrics screenshot — High-Cardinality Metrics, No LimitsBronto metrics dark mode screenshot — High-Cardinality Metrics, No Limits

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
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Insanely Quick Dashboards

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

My Data
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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.

Monitors
Bronto monitors screenshot — Intelligent Alerting & ReportingBronto monitors dark mode screenshot — Intelligent Alerting & Reporting

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.

New ways of working

Optimised for your new workflow

Whether you live in your IDE, your terminal, or your own UI — Bronto plugs into the way you already work.

Claude Code asking Bronto MCP about latency spike5xx summary report from Bronto MCPCDN request volume spike analysis

Bronto MCP

Plug Bronto straight into Claude, Cursor, and any MCP-aware agent so your logs, metrics, and traces become a first-class tool call.

REST & Query API

Programmatic access to every query, dashboard, and alert.

CLI & Terminal

Search, tail, and pipe Bronto data right from your shell.

Build a live error rate table grouped by service, with a sparkline for the last 24 hours beside each row.Create a deploy tracker that highlights any spike in error logs within 10 minutes of a new deployment.Build a cost dashboard that shows my ingestion volume by team or project so I can see who's logging the most.Create an alert inbox where I can snooze, acknowledge, and add notes to firing alerts without leaving the UI.Build a trace waterfall viewer that lets me search by trace ID and see every span with its duration and status.Create a side-by-side log diff tool so I can compare log patterns from this week versus last week.Build a customer health scorecard that shows error counts and latency per customer ID in a sortable table.Create a terminal-style log tail UI that lets me filter by severity and keyword in real time.Build a live error rate table grouped by service, with a sparkline for the last 24 hours beside each row.Create a deploy tracker that highlights any spike in error logs within 10 minutes of a new deployment.Build a cost dashboard that shows my ingestion volume by team or project so I can see who's logging the most.Create an alert inbox where I can snooze, acknowledge, and add notes to firing alerts without leaving the UI.Build a trace waterfall viewer that lets me search by trace ID and see every span with its duration and status.Create a side-by-side log diff tool so I can compare log patterns from this week versus last week.Build a customer health scorecard that shows error counts and latency per customer ID in a sortable table.Create a terminal-style log tail UI that lets me filter by severity and keyword in real time.
Build an on-call dashboard that surfaces the top 5 most-fired alerts from the last 7 days with a count and owner.Create a latency heatmap across my services so I can see which endpoints are slowest at which times of day.Build a log volume chart that sends a Slack message when any service crosses a threshold I set.Create a feature flag impact viewer that shows log error rates before and after a flag was toggled.Build a multi-tenant log explorer where I can switch between customer environments with a single dropdown.Create a status page builder that auto-populates uptime percentages from my trace and log data.Build a root cause timeline that stitches together related log events into a single chronological incident view.Create a daily digest email that summarises my top errors, slowest endpoints, and ingestion volume from the past 24 hours.Build an on-call dashboard that surfaces the top 5 most-fired alerts from the last 7 days with a count and owner.Create a latency heatmap across my services so I can see which endpoints are slowest at which times of day.Build a log volume chart that sends a Slack message when any service crosses a threshold I set.Create a feature flag impact viewer that shows log error rates before and after a flag was toggled.Build a multi-tenant log explorer where I can switch between customer environments with a single dropdown.Create a status page builder that auto-populates uptime percentages from my trace and log data.Build a root cause timeline that stitches together related log events into a single chronological incident view.Create a daily digest email that summarises my top errors, slowest endpoints, and ingestion volume from the past 24 hours.

Build Your Own UI

Use our APIs and MCP server with tools like Lovable and V0 to build internal tools, custom dashboards, and bespoke workflows on top of Bronto's data.

AI SREs

Let autonomous agents triage incidents, investigate anomalies, and surface root cause in seconds.

Your IDE & Coding Agents

Query your telemetry without leaving your IDE or coding agent of choice.

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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
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Bronto

OTEL Native & Agent Agnostic

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

Parse
Bronto onboarding — All Your Data Structured & Parsed

All Your Data Structured & Parsed

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

Explore
Bronto onboarding — Pre-built Dashboards, Alerts & Searches

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_7cnszlRequest processed successfully
22026-05-06T15:50:32.023Z [INFO] api-gateway PUT /api/v1/payments 400 791ms tid=773c4702-1d37-48 uid=usr_6xjqtfAuthentication token validated
32026-05-06T15:50:35.023Z [ERROR] payment-svc GET /api/v1/orders 200 652ms tid=cb18b186-cc39-49 uid=usr_st05bjRequest processed successfully
42026-05-06T15:50:38.023Z [DEBUG] payment-svc POST /api/v1/auth/login 400 851ms tid=c51e1053-4d29-41 uid=usr_zeg1z5Rate limit threshold approaching
52026-05-06T15:50:41.023Z [WARN] auth-service DELETE /api/v1/health 500 851ms tid=6cbfce21-94aa-49 uid=usr_rix8ibRate 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_tf7nqiRequest processed successfully
72026-05-06T15:50:47.023Z [ERROR] auth-service DELETE /api/v1/payments 400 207ms tid=21bc8db6-faca-4a uid=usr_4yhgbpRate limit threshold approaching
82026-05-06T15:50:50.023Z [INFO] api-gateway POST /api/v1/orders 201 142ms tid=f47ac10b-58cc-4a uid=usr_k3m9wpAuthentication token validated
92026-05-06T15:50:53.023Z [WARN] payment-svc GET /api/v1/payments 200 998ms tid=b7d2c891-3f12-49 uid=usr_8nv2qsRequest processed successfully
102026-05-06T15:50:56.023Z [ERROR] auth-service PUT /api/v1/health 500 412ms tid=a92e0c14-9b88-4d uid=usr_pl4xtbRate limit threshold approaching
112026-05-06T15:50:59.023Z [INFO] order-service POST /api/v1/orders 201 76ms tid=5e1f8a73-2c44-41 uid=usr_q9c1zrRequest processed successfully
122026-05-06T15:51:02.023Z [DEBUG] payment-svc GET /api/v1/payments 200 583ms tid=c2d9b6e0-7f33-48 uid=usr_h7d3yfAuthentication token validated
132026-05-06T15:51:05.023Z [INFO] api-gateway DELETE /api/v1/auth/login 400 921ms tid=e8b4f3a1-4d28-42 uid=usr_b2x8mnRate limit threshold approaching
142026-05-06T15:51:08.023Z [WARN] auth-service PUT /api/v1/health 500 305ms tid=3a7c9d2e-1b55-4f uid=usr_v4w6ksRequest processed successfully
152026-05-06T15:51:11.023Z [ERROR] payment-svc POST /api/v1/orders 201 188ms tid=8f2e1a6c-9c77-43 uid=usr_j1n5pqAuthentication token validated
162026-05-06T15:51:14.023Z [INFO] order-service GET /api/v1/payments 200 754ms tid=d4b8e7f0-3a99-45 uid=usr_t8r2lcRequest processed successfully
172026-05-06T15:51:17.023Z [DEBUG] api-gateway PUT /api/v1/auth/login 400 432ms tid=1c5b9e8d-6e22-4a uid=usr_g6f9hdRate limit threshold approaching
182026-05-06T15:51:20.023Z [INFO] payment-svc DELETE /api/v1/health 500 611ms tid=9b3d6f2a-8c11-49 uid=usr_m3e7vbRequest processed successfully
192026-05-06T15:51:23.023Z [WARN] auth-service POST /api/v1/orders 201 95ms tid=7e2a4b1c-5d66-48 uid=usr_y5u1xaAuthentication token validated
202026-05-06T15:51:26.023Z [ERROR] order-service GET /api/v1/payments 200 488ms tid=2f8c1d9e-4b33-47 uid=usr_o2k4wnRequest 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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around the world

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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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.

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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.

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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.

Contentstack icon

Jaymin Patel

Team Lead

Case study

Bronto helped us cut costs and centralize our multi-cloud application logging, as well as providing cost-effective 12 month retention for billing-related events. Troubleshooting is now significantly faster, and having all our logs correlate properly in one place has been a game-changer for our team.

Zyte icon

Joaquín Sargiotto

DevOps 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

Bronto helped us cut costs and centralize our multi-cloud application logging, as well as providing cost-effective 12 month retention for billing-related events. Troubleshooting is now significantly faster, and having all our logs correlate properly in one place has been a game-changer for our team.

Zyte icon

Joaquín Sargiotto

DevOps 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

Bronto helped us cut costs and centralize our multi-cloud application logging, as well as providing cost-effective 12 month retention for billing-related events. Troubleshooting is now significantly faster, and having all our logs correlate properly in one place has been a game-changer for our team.

Zyte icon

Joaquín Sargiotto

DevOps 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