“As every company become a software company,
Security vulnerabilities are the new oil spills”
@jbaruch
#TriangleDevOps
#LiquidSoftware
http://jfrog.com/shownotes
Update available
Yes
No
Can we verify the update?
No
Yes
Yes
How about no
Do we trust the update?
Time consuming verification
Let’s update!
Yes
Are there any high risks?
No
Do we want it?
No
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Features that we want
@jbaruch
#TriangleDevOps
Acceptance tests costs
#LiquidSoftware
http://jfrog.com/shownotes
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Your browser Twitter in your browser Twitter on your smartphone Your smartphone OS?!
Update available
Yes
Are there any high risks?
No
Let’s update!
Do we want it?
No one asked you (auto update)
Continuous updates pattern: Local rollback
@jbaruch
#TriangleDevOps
Problem: update went catastrophically wrong and an over the-air patch can’t reach the device Solution: Have a previous version saved on the device prior to update. Rollback in case problem occurred #LiquidSoftware
http://jfrog.com/shownotes
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Continuous updates pattern: OTA software updates
@jbaruch
#TriangleDevOps
Problem: physical recalls are costly. Extremely costly. Solution: Implement over the air software updates, preferably, continuous updates.
#LiquidSoftware
http://jfrog.com/shownotes
Slide 34
continuous OTA updates are like normal OTA updates,
but better
@jbaruch
#TriangleDevOps
#LiquidSoftware
http://jfrog.com/shownotes
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Continuous updates pattern: continuous updates
@jbaruch
#TriangleDevOps
Problem: In batch updates important features wait for non-important features. Solution: Implement continuous updates.
#LiquidSoftware
http://jfrog.com/shownotes
Nub’s horror
New feature update Uses templating with $ symbol Apple’s staging servers return prices without $ symbol Some Apple’s production servers return prices with $ symbol As a result, some users suffer crashes It took time to understand what went wrong It took time to get the fix through Apple review
@jbaruch
#LiquidSoftware
#TriangleDevOps
http://jfrog.com/shownotes
Slide 41
Continuous updates pattern: Canary releases
@jbaruch
#TriangleDevOps
Problem: Releasing a bug affects ALL the users. Solution: Release to a small number of users first and observe. If a problem occurs, stop the release, revert or update the affected users. #LiquidSoftware
http://jfrog.com/shownotes
Slide 42
Continuous updates pattern: observability
@jbaruch
#TriangleDevOps
Problem: Some problems are hard to trace relying on user feedback only Solution: Implement tracing, monitoring and logging
#LiquidSoftware
http://jfrog.com/shownotes
Slide 43
Continuous updates pattern: Rollbacks
@jbaruch
#TriangleDevOps
Problem: Fixes might take time, users suffer in a meanwhile Solution: Implement rollback, the ability to deploy a previous version without delay #LiquidSoftware
http://jfrog.com/shownotes
Slide 44
Continuous updates pattern: feature flags
@jbaruch
#TriangleDevOps
Problem: Rollbacks are not always supported by the deployment target platform Solution: Embed 2 versions of the features in the app itself and trigger them with API calls #LiquidSoftware
http://jfrog.com/shownotes
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You thought your problems are hard? Things under your control
Server-side Updates
IoT (Mobile, Automotive, Edge) Updates
✓ ✓ ✓ ✓
✕ ✕ ✕ ✕
The availability of the target The state of the target The version on the target The access to the target
@jbaruch
#TriangleDevOps
#LiquidSoftware
http://jfrog.com/shownotes
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KNIGHT-MARE
@jbaruch
#TriangleDevOps
New system reused old APIs 1 out of 8 servers was not updated New clients sent requests to machine contained old code No monitoring, no alerting, no debugging Engineers undeployed working code from updated servers, increasing the load on the not-updated server #LiquidSoftware
http://jfrog.com/shownotes
Slide 49
Continuous updates pattern: Automated deployment
@jbaruch
#TriangleDevOps
Problem: People suck at repetitive tasks. Solution: Automate everything.
#LiquidSoftware
http://jfrog.com/shownotes
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Continuous updates pattern: frequent updates
@jbaruch
#TriangleDevOps
Problem: Seldom deployments generate anxiety and stress, leading to errors. Solution: Update frequently to develop skill and habit. #LiquidSoftware
http://jfrog.com/shownotes
Slide 51
Continuous updates pattern: state awareness
@jbaruch
#TriangleDevOps
Problem: Target state can affect the update process and the behavior of the system after the update. Solution: Know and consider target state when updating. Reverting might require revering the state. #LiquidSoftware
http://jfrog.com/shownotes
Real life pattern: be kind
@jbaruch
#TriangleDevOps
Problem: You shame someone publicly, week later shit happens to you. Solution: Don’t be a shmuck.
#LiquidSoftware
http://jfrog.com/shownotes
Slide 56
Cloud-dark
@jbaruch
#TriangleDevOps
Deployment of a single misconfigured rule Included regex to spike CPU to 100% “Affected region: Earth”
#LiquidSoftware
http://jfrog.com/shownotes
Slide 57
Continuous updates pattern: Canary releases
@jbaruch
#TriangleDevOps
Problem: Releasing a bug affects ALL the users. Solution: Release to a small number of users first and observe. If a problem occurs, stop the release, revert or update the affected users. #LiquidSoftware
http://jfrog.com/shownotes
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Continuous updates pattern: zero downtime updates
@jbaruch
#TriangleDevOps
Problem: You will probably loose all your users if you shut down for 5 weeks (and counting) to perform an update. Solution: Perform zerodowntime OTA small and fequent continuous updates. #LiquidSoftware
http://jfrog.com/shownotes
Update available
Yes
Do we trust the update?
Yes
Do we want it?
Are there any high risks?
Sure, why not? (auto update) Yes
Let’s update!
No
Slide 62
”
Our goal is to transition from bulk and rare software updates to extremely tiny and extremely frequent software updates; so tiny and so frequent that they provide an illusion of software flowing from development to the update target.
We call it the Liquid Software vision.
@jbaruch
#TriangleDevOps
#LiquidSoftware
http://jfrog.com/shownotes