Choose and set up an integration on Grafana Labs

Choose an integration

Fri, 02 Oct 2026 07:50:41 -0500

Choose an integration

Grafana Cloud has a large library of prebuilt integrations. This journey covers a selection of them.

Click the integration you want to learn about:

Linux server integration

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Linux server integration

The Linux server integration monitors the health and performance of Linux servers.


What it’s for	Monitoring health and performance of Linux servers
Under the hood	Uses node_exporter (`prometheus.exporter.unix`) to collect host metrics

Metrics collected

The integration collects the core host metrics that show server health:

CPU: Usage, load average, per-core stats
Memory: Used, available, buffers, cache
Disk: Usage, I/O, latency, IOPS
Network: Bandwidth, packets, errors
Filesystem: Mount points, inodes
Processes: Running and blocked process counts

What to know

This integration offers:

Prebuilt dashboards, including fleet overview and host overview. The integration reference lists seven dashboards.
Prebuilt alerts for high CPU, high memory use, and low free disk space
Host metrics: CPU, memory, disk, network
node_exporter (prometheus.exporter.unix) collects the host metrics

Set it up

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor a Linux server

Welcome to the Grafana learning path that provides the best practice for setting up your Linux server integration.

19 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

Windows integration

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Windows integration

The Windows integration monitors the health and performance of Windows servers.


What it’s for	Monitoring health and performance of Windows servers
Under the hood	Uses the Windows exporter (`prometheus.exporter.windows`)

Metrics collected

The integration collects host and service metrics with these Windows exporter collectors:

CPU: Processor time, queue length
Memory: Available, committed, page faults
Disk: Read/write bytes, queue depth
Network: Bytes sent/received, errors
Services: State, start mode

What to know

This integration offers:

Prebuilt dashboards: overview, CPU and system, disks, fleet overview, logs
Prebuilt alerts: CPU, memory, disk, services
Windows exporter collectors for CPU, memory, disk, network, and services
Service state monitoring built-in
If you also run IIS, the IIS integration in this journey covers the web server.

Set it up

The Alloy Windows installer handles installation. You then configure the integration in Grafana Cloud.

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor a Windows system

Welcome to the Grafana learning path that provides best practices for monitoring your Windows system.

13 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

MySQL integration

Fri, 02 Oct 2026 07:50:41 -0500

MySQL integration

The MySQL integration provides database performance monitoring for MySQL instances, whether standalone, replicated, or clustered. Running out of connections is a classic MySQL failure, and the InnoDB buffer pool hit ratio reveals whether your working set still fits in memory.


What it’s for	Monitoring query performance, connections, replication, and InnoDB health
Under the hood	Uses the mysqld exporter to read server status and InnoDB metrics

Metrics collected

The integration collects these MySQL metric groups:

Queries: QPS, slow queries, query types
Connections: Active, max, threads
InnoDB: Buffer pool, I/O, row operations
Replication: Lag, status, errors

What to know

This integration offers:

Prebuilt dashboards: MySQL, MySQL logs
Prebuilt alerts: replication lag, slow queries, instance down
Query performance and slow query visibility
InnoDB buffer pool and I/O metrics

Set it up

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor MySQL with Grafana Alloy

Welcome to the Grafana learning path that shows you how to monitor MySQL databases with Grafana Alloy and use pre-built dashboards and alerts in Grafana Cloud.

16 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

PostgreSQL integration

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PostgreSQL integration

The PostgreSQL integration monitors connections, replication, cache, locks, and table metrics. The integration reference calls this infrastructure-level observability. For query-level detail (slow queries, wait events, and execution plans), use Database Observability.


What it’s for	Monitoring queries, connections, replication, and vacuum/bloat health
Under the hood	Uses the PostgreSQL exporter (`prometheus.exporter.postgres`) and scrapes it

Metrics collected

The integration collects these PostgreSQL metric groups:

Queries: Active, waiting, and duration. Waiting queries usually point to lock contention.
Connections: Used, available, and by state, including how close you are to max_connections.
Transactions: Commits, rollbacks, conflicts
Replication: Lag and slot status, which show whether a standby is ready for failover.
Vacuum: Dead tuples and autovacuum. PostgreSQL keeps old row versions until vacuum removes them, and the dashboards track that buildup.

What to know

This integration offers:

Prebuilt dashboards: PostgreSQL cluster overview, PostgreSQL instance overview, PostgreSQL logs, PostgreSQL query performance
Prebuilt alerts: connections, replication, vacuum
Buffer cache hit ratio
Query waiting and lock detection

Set it up

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor PostgreSQL with Grafana Alloy

Welcome to the Grafana learning path that shows you how to monitor PostgreSQL databases with Grafana Alloy and use pre-built dashboards and alerts in Grafana Cloud.

18 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

MongoDB integration

Fri, 02 Oct 2026 07:50:41 -0500

MongoDB integration

The MongoDB integration provides database monitoring for MongoDB deployments, from simple standalone instances to complex sharded clusters. Connection tracking matters here because connection exhaustion is a common MongoDB failure mode.


What it’s for	Monitoring operations, connections, replication, and sharding health
Under the hood	Uses the MongoDB exporter (`prometheus.exporter.mongodb`) and scrapes it

Metrics collected

The integration collects metrics across operations, connections, replication, and sharding:

Operations: Queries, inserts, updates, deletes
Connections: Current, available, usage
Replication: Oplog window, member state
Sharding: Chunk distribution, balancer

What to know

This integration offers:

Prebuilt dashboards: MongoDB cluster, MongoDB instance, MongoDB overview, MongoDB replica set
Prebuilt alerts: replication lag, connections
Replica set and sharding visibility
Oplog window monitoring for disaster recovery

Set it up

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor MongoDB with Grafana Cloud

Welcome to the MongoDB monitoring learning path that shows you how to use Grafana Alloy to send MongoDB metrics to Grafana Cloud for comprehensive database observability.

17 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

Redis integration

Fri, 02 Oct 2026 07:50:41 -0500

Redis integration

The Redis integration provides cache and key-value monitoring for Redis, covering throughput, memory, connections, and replication. Redis is fast, but it fails in predictable ways, running out of memory, evicting keys, or exhausting connections. The integration tracks those signals so you can act before the cache starts dropping data.


What it’s for	Monitoring command throughput, memory, connections, keyspace, and replication
Under the hood	Grafana Alloy scrapes the Redis exporter (collects its metrics on an interval)

Metrics collected

Command throughput: Commands processed per second and command duration
Memory: Used memory, RSS, fragmentation ratio, and the max-memory threshold
Connections: Connected and blocked clients
Keyspace: Keys, expiring keys, and eviction rate
Replication: Connected replicas

What to know

This integration offers:

Prebuilt dashboards: Redis
Prebuilt alerts: instance down, out of memory, too many connections, cluster health

Prerequisites:

Alloy needs network access to Redis.
A separate Redis user for Alloy, with only the security privileges required to monitor the node. The integration reference strongly recommends this.

Documentation

View the Redis integration documentation.

Memcached integration

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Memcached integration

The Memcached integration provides cache monitoring for Memcached, covering cache performance, memory, and connections. Memcached does one job, so monitoring stays focused. Hit rate and eviction trends tell you whether the cache is working, and memory and item counts tell you whether it’s running out of room.


What it’s for	Monitoring hit rate, evictions, memory, and connection health
Under the hood	Grafana Alloy scrapes the Memcached exporter with a minimal config

Metrics collected

Cache performance: Hit rate, miss rate, and eviction trends
Memory: Bytes stored versus available memory
Connections: Current connections, connection rate, and the max-connection threshold. A spike in connections can use up the connections the cache needs.
Items: Items stored, items evicted, and storage throughput
Resource usage: CPU time and network bytes

What to know

This integration offers:

Prebuilt dashboards: Memcached overview
Prebuilt alerts: instance down, connection limit, out of memory

Prerequisites:

Alloy needs network access to Memcached.

Documentation

View the Memcached integration documentation.

Apache Cassandra integration

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Apache Cassandra integration

The Apache Cassandra integration provides cluster monitoring for Cassandra, covering latency, compaction, JVM performance, and per-keyspace metrics. Cassandra is distributed, so monitoring spans the whole cluster, from read and write latency to compaction backlog and the JVM health of each node.


What it’s for	Monitoring cluster health, read/write latency, compaction, and JVM performance
Under the hood	The JMX exporter runs on each node. Grafana Alloy scrapes the metrics it exposes

Metrics collected

Latency: Cluster-wide and per-node read and write latency
Compaction: Pending and blocked compaction tasks
JVM: Garbage collection and memory
Cluster: Node status (up/down) and endpoint health
Keyspaces: Repair jobs, pending compactions, and disk usage

What to know

This integration offers:

Prebuilt dashboards: overview, nodes, keyspaces, logs
Prebuilt alerts: read/write latency, blocked compactions, CPU/memory

Prerequisites:

Requires the JMX exporter on each Cassandra node

Documentation

View the Apache Cassandra integration documentation.

Oracle Database integration

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Oracle Database integration

The Oracle Database integration monitors sessions, processes, tablespace usage, and wait events.


What it’s for	Monitoring sessions, processes, tablespace capacity, and wait events
Under the hood	Grafana Alloy’s built-in OracleDB exporter scrapes metrics using Oracle Instant Client

Metrics collected

Sessions and processes: Active sessions, process counts, and how close they are to configured limits
Tablespace: Used versus allocated space across tablespaces
Wait events: Which categories of waits consume time inside the database
Resource limits: Current values against v$resource_limit thresholds
Availability: oracledb_up for at-a-glance health

What to know

This integration offers:

Prebuilt dashboards: overview, logs
Prebuilt alerts: session limit, process limit, tablespace capacity

Prerequisites:

Requires Oracle Instant Client on the Alloy host with ORACLE_HOME set (Alloy 1.9.0+)
Requires a dedicated Oracle monitoring user with specific grants

Documentation

View the Oracle Database integration documentation.

HAProxy integration

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HAProxy integration

The HAProxy integration provides load balancer monitoring at every layer: frontend, backend, and individual servers. HAProxy sits in front of your applications and distributes traffic, so when it’s unhealthy, everything behind it suffers.


What it’s for	Monitoring traffic distribution, backend health, and capacity
Under the hood	Scrapes HAProxy’s built-in Prometheus exporter (HAProxy 2.x and later)

Metrics collected

The integration collects metrics at every layer of the load balancer:

Frontend: Connections, requests, bytes
Backend: Server count, queue depth, response time
Server: Up/down, connections, and health checks. A failing health check can show a down server before users notice.
Sessions: Current, limit, rate

What to know

This integration offers:

Prebuilt dashboards: overview, frontend, backend, server
Prebuilt alerts: dropped logs, flapping health checks
Health check visibility

Set it up

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor HAProxy load balancers

Welcome to the Grafana learning path that walks you through monitoring HAProxy load balancers using Grafana Cloud.

14 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

Microsoft IIS integration

Fri, 02 Oct 2026 07:50:41 -0500

Microsoft IIS integration

The IIS integration provides web server monitoring for Microsoft IIS, including application pool health. Worker process failures are a key warning sign, since a failing pool takes its apps down with it.


What it’s for	Monitoring web traffic, requests, connections, and application pools
Under the hood	Uses Windows performance counters (the windows_exporter IIS collector)

Metrics collected

The integration collects web traffic and application pool metrics:

Requests: Rate, worker requests
Connections: Current, total
App pools: Worker process count, failures, threads
Bytes: Sent, received, total

What to know

This integration offers:

Prebuilt dashboards: IIS overview, applications, logs
Prebuilt alerts: 5xx errors, worker process failures, thread pool utilization
The Windows integration covers the host. This integration covers IIS.

Set it up

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor IIS web servers

Set up the IIS integration to monitor request rates, error rates, and worker process health for your IIS web servers.

18 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

Kafka integration

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Kafka integration

The Kafka integration monitors Apache Kafka clusters, including brokers, topics, and consumer groups. Consumer lag metrics and alerts show when consumers fall behind producers.


What it’s for	Monitoring broker health, consumer lag, and message throughput
Under the hood	Collects broker and JVM metrics via a JMX exporter, plus consumer lag from a Kafka exporter

Metrics collected

The integration collects metrics across brokers, topics, and consumers:

Broker: JVM, requests, replication
Topics: Messages in/out, partitions
Consumer: Lag, offset, group status
ZooKeeper: Connections, latency (if used)

What to know

This integration offers:

Prebuilt dashboards, including overview, topics, and Kafka Connect. The integration reference also lists logs, Schema Registry, ZooKeeper, and ksqldb dashboards.
Prebuilt alerts: consumer lag, broker health
Partition distribution visibility
Setup needs JMX access to the brokers.

Set it up

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor Kafka with Grafana Cloud

Welcome to the Kafka monitoring learning path that shows you how to use Grafana Alloy to send Kafka metrics to Grafana Cloud for comprehensive event streaming observability.

22 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

SNMP integration

Fri, 02 Oct 2026 07:50:41 -0500

SNMP integration

The SNMP integration monitors devices that speak SNMP, such as switches, routers, and firewalls. Grafana Alloy polls those devices remotely. The device must support SNMP v2c or v3.


What it’s for	Monitoring network interfaces, device health, and hardware status
Under the hood	Polls devices via SNMP v2c or v3, using each device’s MIBs (the metrics it exposes), including Cisco, Juniper, and Mikrotik

Metrics collected

The integration polls each device for these metric groups:

Interfaces: Traffic, errors, status per port
Device: CPU, memory, uptime
Hardware: Temperature sensors and power-supply status

What to know

This integration offers:

Prebuilt dashboards: overview, fleet overview, logs
Prebuilt alerts: interface status, device health
Alloy polls the device remotely over SNMP

Documentation

View the SNMP integration documentation.

Istio integration

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Istio integration

Istio sits between services in a Kubernetes cluster and handles routing. Envoy is the proxy that runs beside each service and handles the traffic. This integration collects metrics from the Istio control plane and from those Envoy proxies. Setup is through the Kubernetes Monitoring Helm chart.


What it’s for	Monitoring service-to-service traffic, latency, and mesh health
Under the hood	Collects metrics from Istio control plane and Envoy sidecars

Metrics collected

The integration collects mesh traffic and Envoy proxy metrics:

Traffic: Request volume by service pair
Latency: Request duration by service
Errors: HTTP status codes, failures
Envoy: Sidecar proxy metrics

What to know

This integration offers:

Prebuilt dashboards, including overview, services, and workloads. The integration reference also lists an Istio logs dashboard.
Prebuilt alerts: error rates, latency
Service-to-service request, latency, and error metrics
Setup through the Kubernetes Monitoring Helm chart

Documentation

View the Istio integration documentation.

Resources

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Resources

These pages cover the integrations in this section and how to install one.

Documentation

Community

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