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Why and how to test logging
DevOps Showcase North / Testing Showcase North
Manchester, UK - Unicom
Thursday 11th February 2015
Matthew Skelton
Skelton Thatcher Consulting
confession:
I am a big fan of logging
use logging as a
channel/vector to
make distributed
systems more testable
transforming technology
and teams
high impact expertise
Cloud, Agile, DevOps
Why we should test logging
How to test logging effectively
exceptional situations
edge cases
metrics
analytics
‘audits’
…
@evanphx
logging as an execution trace
reduce time-to-detect
increase team engagement
increase configurability
enhance DevOps collaboration
#operability
(event sourcing)
(structured logging)
(CQRS)
using logging mainly for errors
inconsistent use of logging
“logging slows things down”
“logging pollutes my domain model”
“logging is just for Ops people”
log aggregation only in Production
logging assumed to be free
($0) to implement
logs not available to Tester or
Developers
distinct event IDs
transaction tracing
instrumentation
log aggregation & search
cross-component visibility
increased test coverage
programmatic assertions
deep insights
stories for testing logging
BasketItemAdded
Search: BasketItem
Continuous event IDs
How many distinct event
types (state transitions) in
your application?
represent distinct states
enum
Human-readable sets:
unique values, sparse, immutable
C#, Java, Python, node
(Ruby, PHP, …)
public enum EventID
{
// Badly-initialised logging data
NotSet = 0,
// An unrecognised event has occurred
UnexpectedError = 10000,
ApplicationStarted = 20000,
ApplicationShutdownNoticeReceived = 20001,
PageGenerationStarted = 30000,
PageGenerationCompleted = 30001,
MessageQueued = 40000,
MessagePeeked = 40001,
BasketItemAdded = 60001,
BasketItemRemoved = 60002,
CreditCardDetailsSubmitted = 70001,
// ...
}
Technical
Domain
public enum EventID
{
// Badly-initialised logging data
NotSet = 0,
// An unrecognised event has occurred
UnexpectedError = 10000,
ApplicationStarted = 20000,
ApplicationShutdownNoticeReceived = 20001,
PageGenerationStarted = 30000,
PageGenerationCompleted = 30001,
MessageQueued = 40000,
MessagePeeked = 40001,
BasketItemAdded = 60001,
BasketItemRemoved = 60002,
CreditCardDetailsSubmitted = 70001,
// ...
}
BasketItemAdded = 60001
BasketItemAdded = 60001
BasketItemRemoved = 60002
BasketItemAdded = 60001
BasketItemRemoved = 60002
represent distinct states
OrderSvc_BasketItemAdded
Monolith to microservices:
debugger does not have the full view
Even with remote debugger, it’s
boring to attach and detach
Storage I/O
Worker Job
Queue
Upload
Transaction tracing
‘Unique-ish’ identifier for each request
Passed through downstream layers
Unique-ish ID
Testing logging
use logging as a
channel/vector to
make distributed
systems more testable
track a parcel online
search by
event ID
transaction
trace
Web App
Doc store
Audit service
Msg queue
Transactional
sub-system
Log aggregation
sub-system
An action here… …results in log entry here
trace events in a
distributed,
asynchronous system
stories for testing logging
AuditRecordCreated
Search: AuditRecordCreated
AuditRecordCreated
Search: AuditRecordCreated
Feature: User trades stocks
Scenario: User requests a sell before close of trading
Given I have 100 shares of MSFT stock
And I have 150 shares of APPL stock
And the time is before close of trading
When I ask to sell 20 shares of MSFT stock
Then I should have 80 shares of MSFT stock
And I should have 150 shares of APPL stock
And a sell order for 20 shares of MSFT stock should have been executed
http://martinfowler.com/bliki/GivenWhenThen.html - Pete Hodgson
Given I run a scenario as a Lawyer
And I create a document
[And I wait 5 seconds]
When I search the logs API
Then I should find a recent entry
for “AuditRecordCreated”
Recap
use logging as a
channel/vector to
make distributed
systems more testable
unique-ish event type IDs
transaction tracing
log aggregation & search
Stories: expected search results
cross-component visibility
increased test coverage
programmatic assertions
deep insights
trace events in a
distributed,
asynchronous system
‘Structured Logging’
TW: “Adopt” (May 2015)
https://www.thoughtworks.com/radar/techniques/structured-logging
http://gregoryszorc.com/
.NET: http://serilog.net/
Java: https://github.com/fluent/fluent-logger-java
More
Ditch the Debugger and Use Log
Analysis Instead
Matthew Skelton
https://blog.logentries.com/2015/07/ditch-
the-debugger-and-use-log-analysis-instead/
Thank you
http://skeltonthatcher.com/
enquiries@skeltonthatcher.com
@SkeltonThatcher
+44 (0)20 8242 4103
@matthewpskelton

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