Bronto for AWS

Centralize observability data across your tech stack

AWS teams generate massive observability data across EKS, Lambda, API Gateway, CloudFront, and microservices. By sending logs and metrics from CloudWatch to Bronto, teams can centralize logs, traces, and metrics across their services for 12 months, always hot and instantly searchable.

Bronto

1. Create a Bronto account

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AWS

2. Connect your AWS account

Deploy the Bronto forwarder to send CloudWatch, S3, and Lambda logs. Follow the AWS setup guide.

Gather logs, traces, and metrics across AWS services

Amazon EKS
AWS Fargate

Amazon EKS & Fargate

Unified log visibility across Kubernetes namespaces

Bronto aggregates container logs from EKS clusters without per-node agents - Filebeat or Fluent Bit forward to Bronto's ingestion API. Platform teams get normalised, searchable logs across all services with AI-assisted anomaly detection.

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AWS Lambda

AWS Lambda

Serverless observability without cold-start overhead

Bronto's OTel Lambda layer captures distributed traces and logs from function invocations, correlating them across upstream API Gateway events and downstream DynamoDB calls. Cold-start impacts are surfaced automatically.

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Amazon CloudFront
CDN
Edge

Amazon CloudFront & CDN Edge

Normalised CDN log ingestion across multi-cloud edge

Bronto normalises log formats from CloudFront, Akamai, Fastly, and Cloudflare into a unified schema, giving teams a single pane of glass for edge performance, cache behaviour, and origin error rates.

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Amazon CloudWatch
Amazon S3

Amazon CloudWatch & S3

Every log group and bucket, forwarded automatically

An account-level subscription filter streams every CloudWatch log group to Bronto, while S3 access logs and other files are forwarded as new objects arrive. No changes to how your services log.

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Amazon API Gateway

Amazon API Gateway

Access and execution logs for every stage

Bronto ingests API Gateway access and execution logs across every stage, so teams can trace slow or failing requests from the edge through to the Lambda functions and services behind them.

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Amazon ECS

Amazon ECS

Service logs through your existing OpenTelemetry Collector

Send ECS service and task logs to Bronto through the OpenTelemetry Collector or ADOT you already run. Logs are parsed at ingest and searchable alongside the rest of your AWS estate.

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Agentic observability

An observability platform agents can actually use

Plug your AWS telemetry into the AWS DevOps agent, Claude, or any MCP-compatible tool without rebuilding your stack.

  • Works with the AWS DevOps agent

    Any MCP-compatible agent can query your AWS logs directly through the Bronto MCP server.

  • Cost-aware by design

    Up to 100x cheaper than legacy hot tiers.

  • Context enrichment

    Statement Patterns group similar logs so agents reason over structure instead of raw text.

  • Structured, not stringy

    Every field parsed at ingest, so agent tool calls return typed JSON.

  • AI-native parsing

    AWS log formats are recognised and parsed automatically.

Logs
Metrics
Traces
Intelligence layer

AWS DevOps agent compared observability MCPs and ranked Bronto #1

We asked the AWS DevOps agent to evaluate Bronto, Elasticsearch and Grafana Loki as the telemetry layer for its investigations. Bronto scored highest for AI agent suitability because it never returned silent failures in the evaluation. This meant the AI agent never was misled by incomplete information.

Read the full evaluation →
SystemAI Agent SuitabilityPrimary Issue
BrontoHigh (9.4/10)None significant
Elasticsearch/LuceneMedium (5.3/10)Silent failures from case/mapping issues
Grafana LokiLow (4.6/10)Limited discovery, minimal context
AWS Marketplace

Purchase a Bronto plan via the AWS marketplace

You can use your existing AWS procurement and consolidated billing to get started with Bronto easily and start centralizing your observability data in one platform.

FAQ

Common questions

Give your AWS logs a better home

In the AI era, it's time to bring together your observability data in one place that is designed for long-term retention, instant search, and agentic workflows.