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Structured telemetry library for Clojure/Script

Telemere is a next-generation replacement for Timbre that offers a simple unified API for structured and traditional logging, tracing, and basic performance monitoring.

It helps enable Clojure/Script systems that are observable, robust, and debuggable - and it represents the refinement and culmination of ideas brewing over 12+ years in Timbre, Tufte, Truss, etc.

[Terminology] Telemetry derives from the Greek tele (remote) and metron (measure). It refers to the collection of in situ (in position) data, for transmission to other systems for monitoring/analysis. Logs are the most common form of software telemetry. So think of telemetry as the superset of logging-like activities that help monitor and understand (software) systems.

Latest release/s

• 2024-08-20 v1.0.0-beta19: release info (for early adopters/feedback)

See here for earlier releases.

Why Telemere?

Ergonomics

• Elegant, lightweight API that's easy to use, easy to configure, and deeply flexible.
• Sensible defaults to make getting started fast and easy.
• Extensive beginner-oriented documentation, docstrings, and error messages.

Interop

• 1st-class out-the-box interop with SLF4J v2, tools.logging, OpenTelemetry, and Tufte.
• Included shim for easy/gradual migration from Timbre.
• Extensive set of handlers included out-the-box.

Scaling

• Hyper-optimized and blazing fast, see benchmarks.
• An API that scales comfortably from the smallest disposable code, to the most massive and complex real-world production environments.
• Auto handler stats for debugging performance and other issues at scale.

Flexibility

• Config via plain Clojure vals and fns for easy customization, composition, and REPL debugging.
• Unmatched environmental config support: JVM properties, environment variables, or classpath resources. Per platform, or cross-platform.
• Unmatched filtering support: by namespace, id pattern, level, level by namespace pattern, etc. At runtime and compile-time.
• Fully configurable a/sync dispatch support: blocking, dropping, sliding, etc.
• Turn-key sampling, rate-limiting, and back-pressure monitoring with sensible defaults.

Comparisons

• Telemere compared to Timbre
• Telemere compared to Mulog

Video demo

See for intro and basic usage:

Quick examples

(require '[taoensso.telemere :as t])

(t/log! {:id ::my-id, :data {:x1 :x2}} "My message") %>

;; 2024-04-11T10:54:57.202869Z INFO LOG Schrebermann.local examples(56,1) ::my-id - My message
;;    data: {:x1 :x2}

(t/log!       "This will send a `:log` signal to the Clj/s console")
(t/log! :info "This will do the same, but only when the current level is >= `:info`")

;; Easily construct messages from parts
(t/log! :info ["Here's a" "joined" "message!"])

;; Attach an id
(t/log! {:level :info, :id ::my-id} "This signal has an id")

;; Attach arb user data
(t/log! {:level :info, :data {:x :y}} "This signal has structured data")

;; Capture for debug/testing
(t/with-signal (t/log! "This will be captured"))
;; => {:keys [location level id data msg_ ...]}

;; `:let` bindings are available to `:data` and message, but only paid
;; for when allowed by minimum level and other filtering criteria
(t/log!
  {:level :info
   :let [expensive-metric1 (last (for [x (range 100), y (range 100)] (* x y)))]
   :data {:metric1 expensive-metric1}}
  ["Message with metric value:" expensive-metric1])

;; With sampling 50% and 1/sec rate limiting
(t/log!
  {:sample-rate 0.5
   :rate-limit  {"1 per sec" [1 1000]}}
  "This signal will be sampled and rate limited")

;; There are several signal creators available for convenience.
;; All support the same options but each offer's a calling API
;; optimized for a particular use case. Compare:

;; `log!` - [msg] or [level-or-opts msg]
(t/with-signal (t/log! {:level :info, :id ::my-id} "Hi!"))

;; `event!` - [id] or [id level-or-opts]
(t/with-signal (t/event! ::my-id {:level :info, :msg "Hi!"}))

;; `signal!` - [opts]
(t/with-signal (t/signal! {:level :info, :id ::my-id, :msg "Hi!"}))

;; See `t/help:signal-creators` docstring for more

;;; A quick taste of filtering

(t/set-ns-filter! {:disallow "taoensso.*" :allow "taoensso.sente.*"})
(t/set-id-filter! {:allow #{::my-particular-id "my-app/*"}})

(t/set-min-level!       :warn) ; Set minimum level for all    signals
(t/set-min-level! :log :debug) ; Set minimul level for `log!` signals

;; Set minimum level for `event!` signals originating in
;; the "taoensso.sente.*" ns
(t/set-min-level! :event "taoensso.sente.*" :warn)

;; See `t/help:filters` docstring for more

;;; Use middleware to transform signals and/or filter signals
;;; by signal data/content/etc.

(t/set-middleware!
  (fn [signal]
    (if (get-in signal [:data :hide-me?])
      nil ; Suppress signal (don't handle)
      (assoc signal :passed-through-middleware? true))))

(t/with-signal (t/event! ::my-id {:data {:hide-me? true}}))  ; => nil
(t/with-signal (t/event! ::my-id {:data {:hide-me? false}})) ; => {...}

See examples.cljc for more REPL-ready snippets!

API overview

See relevant docstrings (links below) for usage info-

Creating signals

Name	Signal kind	Main arg	Optional arg	Returns
log!	:log	msg	opts/level	Signal allowed?
event!	:event	id	opts/level	Signal allowed?
error!	:error	error	opts/id	Given error
trace!	:trace	form	opts/id	Form result
spy!	:spy	form	opts/level	Form result
catch->error!	:error	form	opts/id	Form value or given fallback
signal!	<arb>	opts	-	Depends on opts

Internal help

Detailed help is available without leaving your IDE:

Var	Help with
help:signal-creators	Creating signals
help:signal-options	Options when creating signals
help:signal-content	Signal content (map given to middleware/handlers)
help:filters	Signal filtering and transformation
help:handlers	Signal handler management
help:handler-dispatch-options	Signal handler dispatch options
help:environmental-config	Config via JVM properties, environment variables, or classpath resources.

Included handlers

See ✅ links below for features and usage,
See 👍 links below to vote on future handlers:

Target (↓)	Clj	Cljs
Apache Kafka	👍	-
AWS Kinesis	👍	-
Console	✅	✅
Console (raw)	-	✅
Datadog	👍	👍
Email	✅	-
Graylog	👍	-
Jaeger	👍	-
Logstash	👍	-
OpenTelemetry	✅	👍
Redis	👍	-
SQL	👍	-
Slack	✅	-
TCP socket	✅	-
UDP socket	✅	-
Zipkin	👍	-

You can also easily write your own handlers.

Community

My plan for Telemere is to offer a stable core of limited scope, then to focus on making it as easy for the community to write additional stuff like handlers, middleware, and utils.

See here for community resources.

Documentation

• Wiki (getting started, usage, etc.)
• API reference via cljdoc or Codox
• Extensive internal help (no need to leave your IDE)
• Support via Slack channel or GitHub issues
• General observability tips (advice on building and maintaining observable Clojure/Script systems, and getting the most out of Telemere)

Benchmarks

Telemere is highly optimized and offers great performance at any scale:

Compile-time filtering?	Runtime filtering?	Profile?	Trace?	nsecs
✓ (elide)	-	-	-	0
-	✓	-	-	350
-	✓	✓	-	450
-	✓	✓	✓	1000

Measurements:

• Are ~nanoseconds per signal call (= milliseconds per 1e6 calls)
• Exclude handler runtime (which depends on handler/s, is usually async)
• Taken on a 2020 Macbook Pro M1, running Clojure v1.12 and OpenJDK v22

Performance philosophy

Telemere is optimized for real-world performance. This means prioritizing flexibility and realistic usage over synthetic micro benchmarks.

Large applications can produce absolute heaps of data, not all equally valuable. Quickly processing infinite streams of unmanageable junk is an anti-pattern. As scale and complexity increase, it becomes more important to strategically plan what data to collect, when, in what quantities, and how to manage it.

Telemere is designed to help with all that. It offers rich data and unmatched filtering support - including per-signal and per-handler sampling and rate-limiting.

Use these to ensure that you're not capturing useless/low-value/high-noise information in production! With appropriate planning, Telemere is designed to scale to systems of any size and complexity.

See here for detailed tips on real-world usage.

Funding

You can help support continued work on this project, thank you!! 🙏

License

Copyright © 2023-2024 Peter Taoussanis.
Licensed under EPL 1.0 (same as Clojure).