Apache Zookeeper and Dynatrace Integration

Input and output integration overview

The Zookeeper Telegraf plugin collects and reports metrics from Zookeeper servers, facilitating monitoring and performance analysis. It utilizes the ‘mntr’ command output to gather essential statistics critical for maintaining Zookeeper’s operational health.

The Dynatrace plugin allows users to send metrics collected by Telegraf directly to Dynatrace for monitoring and analysis. This integration enhances the observability of systems and applications, providing valuable insights into performance and operational health.

Integration details

Apache Zookeeper

The Zookeeper plugin for Telegraf is designed to collect vital statistics from Zookeeper servers by executing the ‘mntr’ command. This plugin serves as a monitoring tool that captures important metrics related to Zookeeper’s performance, including connection details, latency, and various operational statistics, facilitating the assessment of the health and efficiency of Zookeeper deployments. In contrast to the Prometheus input plugin, which is recommended when the Prometheus metrics provider is enabled, the Zookeeper plugin accesses raw output from the ‘mntr’ command, rendering it tailored for configurations that do not adopt Prometheus for metrics reporting. This unique approach allows administrators to gather Java Properties formatted metrics directly from Zookeeper, ensuring comprehensive visibility into Zookeeper’s operational state and enabling timely responses to performance anomalies. It specifically excels in environments where Zookeeper operates as a centralized service for maintaining configuration information and names for distributed systems, thus providing immeasurable insights essential for troubleshooting and capacity planning.

Dynatrace

The Dynatrace plugin for Telegraf facilitates the transmission of metrics to the Dynatrace platform via the Dynatrace Metrics API V2. This plugin can function in two modes: it can run alongside the Dynatrace OneAgent, which automates authentication, or it can operate in a standalone configuration that requires manual specification of the URL and API token for environments without a OneAgent. The plugin primarily reports metrics as gauges unless explicitly configured to treat certain metrics as delta counters using the available config options. This feature empowers users to customize the behavior of metrics sent to Dynatrace, harnessing the robust capabilities of the platform for comprehensive performance monitoring and observability. It’s crucial for users to ensure compliance with version requirements for both Dynatrace and Telegraf, thereby optimizing compatibility and performance when integrating with the Dynatrace ecosystem.

Configuration

Apache Zookeeper

[[inputs.zookeeper]]
  ## An array of address to gather stats about. Specify an ip or hostname
  ## with port. ie localhost:2181, 10.0.0.1:2181, etc.

  ## If no servers are specified, then localhost is used as the host.
  ## If no port is specified, 2181 is used
  servers = [":2181"]

  ## Timeout for metric collections from all servers. Minimum timeout is "1s".
  # timeout = "5s"

  ## Float Parsing - the initial implementation forced any value unable to be
  ## parsed as an int to be a string. Setting this to "float" will attempt to
  ## parse float values as floats and not strings. This would break existing
  ## metrics and may cause issues if a value switches between a float and int.
  # parse_floats = "string"

  ## 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

Dynatrace

[[outputs.dynatrace]]
  ## For usage with the Dynatrace OneAgent you can omit any configuration,
  ## the only requirement is that the OneAgent is running on the same host.
  ## Only setup environment url and token if you want to monitor a Host without the OneAgent present.
  ##
  ## Your Dynatrace environment URL.
  ## For Dynatrace OneAgent you can leave this empty or set it to "http://127.0.0.1:14499/metrics/ingest" (default)
  ## For Dynatrace SaaS environments the URL scheme is "https://{your-environment-id}.live.dynatrace.com/api/v2/metrics/ingest"
  ## For Dynatrace Managed environments the URL scheme is "https://{your-domain}/e/{your-environment-id}/api/v2/metrics/ingest"
  url = ""

  ## Your Dynatrace API token.
  ## Create an API token within your Dynatrace environment, by navigating to Settings > Integration > Dynatrace API
  ## The API token needs data ingest scope permission. When using OneAgent, no API token is required.
  api_token = ""

  ## Optional prefix for metric names (e.g.: "telegraf")
  prefix = "telegraf"

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Optional flag for ignoring tls certificate check
  # insecure_skip_verify = false

  ## Connection timeout, defaults to "5s" if not set.
  timeout = "5s"

  ## If you want metrics to be treated and reported as delta counters, add the metric names here
  additional_counters = [ ]

  ## In addition or as an alternative to additional_counters, if you want metrics to be treated and
  ## reported as delta counters using regular expression pattern matching
  additional_counters_patterns = [ ]

  ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
  ## plugin definition, otherwise additional config options are read as part of the
  ## table

  ## Optional dimensions to be added to every metric
  # [outputs.dynatrace.default_dimensions]
  # default_key = "default value"

Input and output integration examples

Apache Zookeeper

1. Cluster Health Monitoring: Integrate the Zookeeper plugin to monitor the health and performance of a distributed application relying on Zookeeper for configuration management and service discovery. By tracking metrics such as session count, latency, and data size, DevOps teams can identify potential issues before they escalate, ensuring high availability and reliability across applications.

2. Performance Benchmarks: Utilize the plugin to benchmark Zookeeper performance in varying workload scenarios. This not only helps in understanding how Zookeeper behaves under load but also assists in tuning configurations to optimize throughput and reduce latency during peak operations.

3. Alerting for Anomalies: Combine this plugin with alerting tools to create a proactive monitoring system that notifies engineers if specific Zookeeper metrics exceed threshold limits, such as open file descriptor counts or high latency values. This enables teams to respond promptly to issues that could impact service reliability.

4. Historical Data Analysis: Store the metrics collected by the Zookeeper plugin in a time-series database to analyze historical performance trends. This allows teams to evaluate the impact of changes over time, assess the effectiveness of scaling actions, and plan for future capacity needs.

Dynatrace

1. Cloud Infrastructure Monitoring: Utilize the Dynatrace plugin to monitor a cloud infrastructure setup, feeding real-time metrics from Telegraf into Dynatrace. This integration provides a holistic view of resource utilization, application performance, and system health, enabling proactive responses to performance issues across various cloud environments.

2. Custom Application Performance Metrics: Implement custom application-specific metrics by configuring the Dynatrace output plugin to send tailored metrics from Telegraf. By leveraging additional counters and dimension options, development teams can gain insights that are precisely aligned with their application’s operational requirements, allowing for targeted optimization efforts.

3. Multi-Environment Metrics Management: For organizations running multiple Dynatrace environments (e.g., production, staging, and development), use this plugin to manage metrics for all environments from a single Telegraf instance. With proper configuration of endpoints and API tokens, teams can maintain consistent monitoring practices throughout the SDLC, ensuring that performance anomalies are detected early in the development process.

4. Automated Alerting Based on Metrics Changes: Integrate the Dynatrace output plugin with an alerting mechanism that triggers notifications when specific metrics exceed defined thresholds. This scenario involves configuring additional counters to monitor crucial application performance indicators, enabling swift remediation actions to maintain service availability and user satisfaction.

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