Door Francesca Brzoskowski.

When monitoring and alerting within the Elastic Stack, two features stand out: Alerting and Watcher. Both are designed to automate searches, track data changes, and ensure your system remains efficient and reliable. Whether you're a data engineer, DevOps professional, or an enthusiast of AI and search technology, understanding these tools is essential for keeping systems running smoothly and resolving issues before they escalate.

Automate your search and data analysis

Effective server monitoring and logging go beyond simply collecting data. It's about detecting anomalies and ensuring system stability in real-time. With Alerting and Watcher, you can:

🔍 Detecting and responding to critical system changes – such as an unexpected CPU spike, memory overload, disk I/O problems, or an application error.

🤖 Automating log monitoring and anomaly detection – by setting up notifications for error logs, slow response times, unauthorised access attempts, or abnormal traffic patterns. This ensures optimal security and performance.

⚙️ Streamline incident response – to automate actions that inform teams, start scripts, or execute remediation processes before minor issues escalate into major outages.

✨ Improving the efficiency of searches and monitoring – by using automated insights to track KPIs and reduce manual intervention.

Which tool best suits your situation?

Two key factors determine whether Alerting or Watcher is the best choice for your monitoring:

1. The level of automation you need.
2. The degree of customisation you wish to apply.

Let's look at the differences in detail.

Alerting: ingebouwde assistent voor real-time monitoring

See Alerting as your always-on assistant. It monitors key performance indicators and alerts you as soon as something requires attention. Integrated into Kibana, Alerting offers a simple, code-free way to set up monitoring rules and actions – ideal for quick, efficient monitoring.

Why choose Alerting?

✅ User-friendly interface Using the Kibana UI, you can easily set up alerts without requiring any programming knowledge.

✅ Pre-set actions – Send notifications via Slack, Teams, e-mail and other pre-configured connectors in just a few clicks.

✅ Ideal for basic monitoring – Easily follow changes like CPU peaks, system failures, or search performance without complex configurations.

When the conditions of a rule are met, a notification is triggered. If the rule has an action, it will be executed with the set frequency.

Practical scenario: Automating anomaly detection

Imagine that your server’s CPU usage suddenly rises to 95%. Without automatic monitoring, this could go unnoticed and lead to serious performance issues. With Alerting, you can set up a rule to monitor CPU usage. As soon as the threshold of 95% is exceeded, you’ll receive an immediate notification via email or Microsoft Teams, so you can resolve the issue before it affects users.

Watcher: advanced automation for complex environments

While Alerting is perfect for quick, intuitive monitoring, Watcher is the solution for users who require in-depth customisation, multi-step automation, and complex alerting workflows. Watcher uses JSON-based scripts, making it ideal for environments that demand detailed monitoring and automated responses.

💡 You can think of Watcher as the more advanced version of Alerting, with more precision, control, and capabilities for complex scenarios.

Why choose Watcher?

✅ Extensive customisability – Set up detailed conditions and reactions with JSON scripting for fully customised notifications.

✅ Scheduled monitoring – Define notifications that are triggered at specific times or intervals, for proactive management.

✅ Workflow automation – Combine multiple rules, inputs, and actions into a comprehensive monitoring workflow.

✅ Accurate control – Monitor logs, operations and system performance, or perform automatic recovery actions without manual intervention.

Practical Scenario: Automating Server Monitoring with Watcher

Imagine you are managing a high-traffic web application where CPU spikes, memory leaks, or slow response times can impact performance. With Watcher, you can:

📌 Monitor combinations of important server statistics, such as CPU usage, memory, and API latency.

A script to execute to restart a hung service or enable extra resources when thresholds are exceeded.

📌 Only alert your team when it's truly necessary, reducing unnecessary notifications and enabling quick intervention.

Bonus practical scenario: Automating search performance

Imagine you are monitoring search relevance in a government knowledge base. If search accuracy falls below 80%, Watcher can:

Log relevant search queries for analysis.

Starting a script to retrain the search model and improve accuracy.

Engineers warn to investigate indexing issues.

Choosing between Alerting and Watcher

The table below helps in choosing the right tool:

Final considerations

Both Alerting and Watcher play a crucial role in monitoring your search infrastructure and system performance.

📝 Alerting Offers a quick and simple way to set up notifications, ideal for basic monitoring.
📝 Watcher Take automation to the next level, with advanced scripting, workflow automation and intelligent search optimisation.

Whether you're monitoring search performance, data pipelines, or infrastructure health, the Elastic Stack provides the right tools to always have the insights you need – precisely when you need them.

Ready to optimise your monitoring strategy?

Whether you opt for the simple efficiency of Alerting or the advanced automation of Watcher, the right tool can make all the difference in your Elastic Stack environment. Want to know more about how to effectively deploy these tools for your organisation? Then get in touch. Contact Meet with us for advice or find out how we can help you set up a powerful monitoring solution.