Memcached and ServiceNow Integration
Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.
5B+
Telegraf downloads
#1
Time series database
Source: DB Engines
1B+
Downloads of InfluxDB
2,800+
Contributors
Table of Contents
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
Input and output integration overview
This plugin gathers statistics data from a Memcached server.
This output plugin streams metrics from Telegraf directly to a ServiceNow MID Server via HTTP, leveraging the nowmetric
serializer for efficient integration with ServiceNow’s Operational Intelligence and Event Management.
Integration details
Memcached
The Telegraf Memcached plugin is designed to gather statistics data from Memcached servers, allowing users to monitor the performance and health of their caching layer. Memcached, a distributed memory caching system, is commonly used for speeding up dynamic web applications by alleviating database load and storing frequently accessed data in memory for quick retrieval. This plugin collects various metrics such as the number of connections, bytes used, and hits/misses, enabling administrators to analyze cache performance, troubleshoot issues, and optimize resource allocation. The configuration supports multiple Memcached server addresses and offers optional TLS settings, ensuring flexibility and secure data transmission across the network. By leveraging this plugin, organizations can gain insights into their caching strategies and improve application responsiveness and efficiency.
ServiceNow
Telegraf can be used to send metric data directly to a ServiceNow MID Server REST endpoint. Metrics are formatted either using ServiceNow’s Operational Intelligence (OI) format or JSONv2 format, enabling seamless integration with ServiceNow’s Event Management and Operational Intelligence platforms. The serializer batches metrics efficiently, reducing network overhead by minimizing the number of HTTP POST requests. This integration allows users to quickly leverage metrics in ServiceNow for enhanced observability, proactive incident management, and performance monitoring, with ServiceNow’s operational intelligence capabilities.
Configuration
Memcached
[[inputs.memcached]]
# An array of address to gather stats about. Specify an ip on hostname
# with optional port. ie localhost, 10.0.0.1:11211, etc.
servers = ["localhost:11211"]
# An array of unix memcached sockets to gather stats about.
# unix_sockets = ["/var/run/memcached.sock"]
## Optional TLS Config
# enable_tls = false
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## If false, skip chain & host verification
# insecure_skip_verify = true
ServiceNow
[[outputs.http]]
## ServiceNow MID Server metrics endpoint
url = "http://mid-server.example.com:9082/api/mid/sa/metrics"
## HTTP request method
method = "POST"
## Basic Authentication credentials
username = "evt.integration"
password = "P@$$w0rd!"
## Data serialization format for ServiceNow
data_format = "nowmetric"
## Metric format type: "oi" (default) or "jsonv2"
nowmetric_format = "oi"
## HTTP Headers
[outputs.http.headers]
Content-Type = "application/json"
Accept = "application/json"
## Optional timeout
# timeout = "5s"
## TLS configuration options
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
# insecure_skip_verify = false
Input and output integration examples
Memcached
-
Dynamic Cache Performance Monitoring: Use the Memcached plugin to set up a performance monitoring dashboard that displays real-time statistics about cache hit ratios, connection counts, and memory usage. This setup can help developers and system admins quickly identify performance bottlenecks and optimize caching strategies to improve application speed.
-
Alerting on Cache Performance Metrics: Implement an alerting system that triggers notifications whenever certain thresholds are breached, such as a decrease in cache hit rates or an increase in rejected connections. This proactive approach can help teams respond to potential issues before they affect user experience and maintain optimal application performance.
-
Integrating Cache Metrics with Business Analytics: Combine Memcached metrics with business intelligence tools to analyze the impact of caching on user engagement and transaction volumes. By correlating cache performance with key business metrics, teams can derive insights into how caching strategies contribute to overall business objectives and improve decision-making processes.
ServiceNow
-
Proactive Incident Management: Utilize the Telegraf and ServiceNow integration to stream infrastructure and application metrics in real-time to ServiceNow Event Management. Automatically trigger incidents or remediation workflows based on thresholds, significantly reducing incident detection and response times.
-
End-to-End Application Monitoring: Deploy Telegraf agents across multiple layers of an application stack, sending performance metrics directly into ServiceNow. Leveraging ServiceNow’s Operational Intelligence, teams can correlate metrics across components, quickly identifying performance bottlenecks.
-
Dynamic CI Performance Tracking: Integrate Telegraf metrics with ServiceNow’s CMDB by using this plugin to push performance data, allowing automatic updates of Configuration Item (CI) health states based on live metrics. This ensures an accurate and current state of infrastructure health in ServiceNow.
-
Cloud Resource Optimization: Collect metrics from hybrid and multi-cloud infrastructures using Telegraf, streaming directly to ServiceNow. Leverage these metrics for real-time analytics, predictive capacity planning, and resource optimization, enabling proactive management and reduced operational costs.
Feedback
Thank you for being part of our community! If you have any general feedback or found any bugs on these pages, we welcome and encourage your input. Please submit your feedback in the InfluxDB community Slack.
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
Related Integrations
Related Integrations
HTTP and InfluxDB Integration
The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
View IntegrationKafka and InfluxDB Integration
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations including different Kafka settings and message processing options.
View IntegrationKinesis and InfluxDB Integration
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
View Integration