BIND 9 monitoring with Netdata

What is BIND 9?

BIND 9 is a flexible, full-featured open source DNS system.

Monitoring BIND 9 with Netdata

The prerequisites for monitoring BIND 9 with Netdata are to have BIND and Netdata installed on your system.

Netdata auto discovers hundreds of services, and for those it doesn’t turning on manual discovery is a one line configuration. For more information on configuring Netdata for BIND 9 monitoring please read the collector documentation.

You should now see the bind section on the Overview tab in Netdata Cloud already populated with charts about all the metrics you care about.

Netdata has a public demo space (no login required) where you can explore different monitoring use-cases and get a feel for Netdata.

What BIND 9 metrics are important to monitor?

Clients

Recursive Clients

Recursive Clients measures the number of clients who are making DNS queries to the BIND 9 DNS server. Normal value ranges for this metric will depend on the type of DNS server, the number of domains it is managing, and the number of clients making requests.

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Requests

Received Requests

Received Requests monitors the number of requests that the DNS server has received from clients. By monitoring this metric, it is possible to detect spikes in the number of requests and identify any potential issues, such as an unusually large number of requests due to a distributed denial-of-service attack. It is also possible to detect any potential misconfigurations in the DNS server’s settings, such as a low limit on the number of requests that can be handled, which can cause the server to become unresponsive. Normal values for this metric depend on the size of the network and the type of requests being made, but typically should range from tens to hundreds of requests per second.

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Incoming Requests by OPCODE

This chart measures the number of incoming DNS requests and organizes them by the type of request (OPCODE). Normal values for this metric will vary depending on the type of DNS server and its configuration. Generally, a majority of incoming requests should be QUERY requests, as they are used for name resolution. Other requests, such as UPDATE, NOTIFY and IXFR, should be present but in much lower numbers. Any significant deviation from the expected request ratios may indicate a problem and should be investigated.

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Incoming Requests by Query Type

This chart shows the number of requests that the DNS server receives, broken down by the type of query. This metric can be used to identify any potential issues with the DNS server, such as if the server is overloaded with requests, if the server is being targeted by malicious actors, or if the server is being misconfigured. Knowing the breakdown of requests by query type can also be useful for performance tuning and optimization.

Typical values for this metric can vary based on the specific use case, but typically the majority of requests are A and AAAA records, with a much smaller number of other types of requests.

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Queries

Successful Queries

This chart measures the rate at which DNS queries are successfully answered. This metric is important to monitor because it indicates the response time of the DNS server and the overall health of the DNS system. Any decrease in the rate of successful queries may be indicative of a performance issue that should be investigated further. Additionally, if the rate of successful queries is too high, it could indicate a potential attack or malicious activity.

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Queries by IP Protocol

This chart monitors the number of queries made to a DNS server by IP protocol.

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Queries Analysis

This chart provides a deeper dive analysis into queries.

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Updates

Received Updates

Received Updates are metrics related to the performance of the BIND 9 DNS server. These metrics measure the number of updates that were received, accepted, rejected, forwarded, failed, or had a bad pre-requisite.

Monitoring these metrics is important because it gives insight into how the server is performing. It can indicate problems with the server configuration, availability of other DNS servers, or potential malicious activity. Knowing the number of rejected updates can help to pinpoint potential malicious activity. Keeping track of the number of forwarded updates can be useful for troubleshooting issues related to networking, such as if a server is unable to reach a remote DNS server.

Normal values would depend on the nature of the DNS traffic on the server, so it is recommended to establish baselines and alerting thresholds based on the observed traffic patterns.

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Failures

Query Failures

Query Failures are an indicator of the number of failed DNS queries per second. It is important to monitor this metric as it can show underlying DNS problems that may impact the reliability of the system. Some potential causes of Query Failures may include issues with server configuration, networking problems, DNS cache poisoning, and problems with DNS record updates. Generally, a low number of Query Failures per second is desired, and an increase in this metric can indicate a potential issue.

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Query Failure Analysis

Query Failure Analysis is a metric that measures the number of queries that are rejected due to authentication or recursion failure. By monitoring this metric, you can identify any potential issues with the DNS server, such as misconfiguration, or a server that is being overloaded with requests. Additionally, it can be used to identify malicious activity, such as DDoS attempts that target your DNS server.

The AuthQryRej attribute measures the number of queries rejected due to authentication failures, while the RecQryRej attribute measures the number of queries rejected due to recursion failures. Typically, these values should be low, as any high values could indicate an issue with the DNS server or malicious activity.

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Statistics

Server Statistics

The Server Statistics attribute of ISC BIND 9 provides insight into the performance of the DNS server. It is important to monitor this metric because it will give visibility into the health of the DNS server and can help to identify any potential issues or bottlenecks.

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