For the complete documentation index, see llms.txt. This page is also available as Markdown.

New Relic

Send metrics and heartbeat events from Akto's hybrid modules to your New Relic dashboard.

Prerequisites

Before setting up the New Relic Integration, ensure you have a API Key of the type: Ingest - License

Quick Setup Steps

1

Access Integrations

  • Go to Settings > Integrations.

  • Find and click "Configure" next to New Relic.

2

Enter New Relic API Key

3

Save Configuration

  • Click "Save" to finalise.

Data Reference

Akto sends two types of telemetry to New Relic: metrics (flushed every 120 seconds) and heartbeat events (sent every 30 seconds per module).

Heartbeat Event

Each Akto module emits a New Relic custom event of type AktoModuleHeartbeatReceived every 30 seconds. You can query it with:

SELECT * FROM AktoModuleHeartbeatReceived SINCE 1 hour ago

The event carries the following attributes:

Attribute
Description

akto.account.id

Akto account ID

akto.module.id

Unique ID of the module instance

akto.module.type

Module type (e.g. RUNTIME, MINI_RUNTIME, TESTING)

akto.module.name

Human-readable module name

akto.module.currentVersion

Deployed version of the module

akto.module.startedTs

Unix timestamp when the module started

akto.module.lastHeartbeatReceived

Unix timestamp of the last heartbeat

Metrics

All metrics are prefixed akto.metric. and flushed every 120 seconds. Each metric includes the same module and account attributes listed in the heartbeat table above.

There are four metric types:

Type
New Relic kind
Meaning

SUM

Count

Cumulative count over the 120 s flush window

GAUGE

Gauge

Point-in-time value at flush time

LATENCY

Gauge

Average over the flush window

MAX

Gauge

Maximum value seen in the flush window

Runtime metrics

Emitted by the Mini-Runtime modules.

New Relic metric name
Type
Description

akto.metric.rt_kafka_record_count

SUM

Number of records processed by the runtime module

akto.metric.rt_kafka_record_size

SUM

Total byte size of records processed by the runtime module

akto.metric.rt_kafka_latency

LATENCY

Average processing latency for runtime records

akto.metric.rt_api_received_count

SUM

Number of APIs received by the mini-runtime module

akto.metric.kafka_records_lag_max

MAX

Maximum consumer lag across Kafka partitions

akto.metric.kafka_records_consumed_rate

GAUGE

Current rate of Kafka record consumption

akto.metric.kafka_fetch_avg_latency

GAUGE

Average fetch latency from Kafka

akto.metric.kafka_bytes_consumed_rate

GAUGE

Current byte consumption rate from Kafka

akto.metric.cyborg_new_api_count

SUM

Newly discovered APIs detected in the flush window

akto.metric.cyborg_total_api_count

SUM

Total APIs tracked by Cyborg

akto.metric.delta_catalog_new_count

SUM

New items added to the delta catalog

akto.metric.delta_catalog_total_count

SUM

Total items in the delta catalog

akto.metric.cyborg_api_payload_size

SUM

Total size of API payloads processed by Cyborg

Testing metrics

Emitted by the Mini-Testing module.

New Relic metric name
Type
Description

akto.metric.testing_run_count

SUM

Test runs executed in the flush window

akto.metric.testing_run_latency

LATENCY

Average time to complete a test run

akto.metric.sample_data_fetch_latency

LATENCY

Average latency for single sample-data fetches

akto.metric.multiple_sample_data_fetch_latency

LATENCY

Average latency for bulk sample-data fetches

Cyborg metrics

Emitted by any module that calls Cyborg.

New Relic metric name
Type
Description

akto.metric.cyborg_call_count

SUM

Calls made to Cyborg

akto.metric.cyborg_call_latency

LATENCY

Average Cyborg call latency

akto.metric.cyborg_data_size

SUM

Total data size sent to/from Cyborg

Infrastructure metrics

Emitted by every module, reflecting the JVM process running that module.

New Relic metric name
Type
Description

akto.metric.cpu_usage_percent

GAUGE

Process CPU usage (%)

akto.metric.heap_memory_used_mb

GAUGE

JVM heap memory in use (MB)

akto.metric.heap_memory_max_mb

GAUGE

Maximum JVM heap memory available (MB)

akto.metric.non_heap_memory_used_mb

GAUGE

JVM non-heap memory in use (MB)

akto.metric.thread_count

GAUGE

Number of live JVM threads

akto.metric.available_processors

GAUGE

CPU cores available to the JVM

akto.metric.total_physical_memory_mb

GAUGE

Total physical host memory (MB)

Traffic Collector profiling metrics

Emitted per Traffic Collector instance.

New Relic metric name
Type
Description

akto.metric.tc_cpu_usage

GAUGE

CPU usage (%) of the traffic collector instance

akto.metric.tc_memory_usage

GAUGE

Memory used (MB) by the traffic collector instance

Get Support for your Akto setup

There are multiple ways to request support from Akto. We are 24X7 available on the following:

  1. In-app intercom support. Message us with your query on intercom in Akto dashboard and someone will reply.

  2. Join our discord channel for community support.

  3. Contact help@akto.io for email support.

  4. Contact us here.

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