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Building Fault Tolerant
Micro Services
Kristoffer Erlandsson
kristoffer.erlandsson@avanza.se
@kerlandsson
Building Fault Tolerant
Micro ServicesWhy?
Failure modes
Stability patterns
Monitoring guidelines
Kristoffer Erlandsson
250+ services
1000+ service instances (JVMs)
Largest actor on the Stockholm Stock Exchange
Acme Books
Database
Web
Application
Database
Web
Application
Database
Web
Application
Database
Web
Application
Database
Web
Application
Database
Web
Application
Products
Payments
Web
Application
Special
Offers
Products
Payments
Special
Offers
Web
Application
Products
Payments
Special
Offers
Web
Application
Products
Payments
Special
Offers
Web
Application
Database
Purchase
History
Cascading
Failure
Products
Payments
Special
Offers
Web
Application
Database
Purchase
History
How about
increasing
availability?
0.99999
5 minutes per year
1000
service
instances?
0.999991000
0.999991000
≈ 0.99
87 hours per year
Design for Failure
Web
Application
Thread
pool
Special
Offers
Web
Application
Thread
pool
Special
Offers
Web
Application
Thread
pool
Special
Offers
Web
Application
Thread
pool
Web
Application
Thread
pool
Special
Offers
Products
Payments
Special
Offers
Web
Application
Thread
pool
Products
Payments
Special
Offers
Web
Application
Thread
pool
Products
Payments
URL url = new URL("http://acme-books.com/special-offers");
URLConnection connection = url.openConnection();
connection.connect();
InputStream inputStream = connection.getInputStream();
// Read response from stream
Use
TimeoutsPrevents blocked threads
URL url = new URL("http://acme-books.com/special-offers");
URLConnection connection = url.openConnection();
connection.setConnectTimeout(100);
connection.setReadTimeout(500);
connection.connect();
InputStream inputStream = connection.getInputStream();
// Read response from stream
Set Aggresive
Timeouts
Special
Offers
Database
Purchase
History
Timeouts here?
Special
Offers
Database
Purchase
History
Here too!
Terrible response times
Awful throughput
Web
Application
Thread
pool
Special
Offers
Timeout
Web
Application
Thread
pool
Special
Offers
Many
timeouts
Web
Application
Thread
pool
Special
Offers
Throughput lower
than number of
incoming requests
Many
timeouts
Web
Application
Thread
pool
Special
Offers
Throughput lower
than number of
incoming requests
Many
timeouts
Web
Application
Thread
pool
Special
Offers
Throughput lower
than number of
incoming requests
Growing
queue!
Many
timeouts
Frequently called service
Timeouts are not enough
Circuit
BreakersCalls to broken services fail fast
Offloads broken services
Special
Offers
Web
Application
Timeout
Web
Application
Web
Application
Special
Offers
Error
Open state
Special
Offers
Web
Application
Single call
Half open state
Special
Offers
Web
Application
Error
Closed state
Special
Offers
Web
Application
Timeouts over threshold
Unhandled errors over threshold
Known irrecoverable error occurs
Handle service
call errors
try {
return specialOffers.getOffers();
} catch (Exception e) {
return Offers.emptyOffers();
}
Terrible response times
Awful throughput
Again?!?
Web
Application
Thread
pool
Special
Offers
Slow
response
Web
Application
Thread
pool
Special
Offers
Slow
responses
Web
Application
Thread
pool
Special
Offers
Throughput lower than
number of incoming
requests (again)
Slow
responses
Response time < timeout
Timeouts and circuit breakers are
not enough
Bulkheads
Isolates components
Prevents cascading
Limit number of
concurrent calls
Upper bound on number
of waiting threads
Special
Offers
Web
Application
Thread
pool
Bulkhead
(size=2)
Special
Offers
Web
Application
Thread
pool
Bulkhead
(size=2)
Special
Offers
Web
Application
Thread
pool
Error
Error
Bulkhead
(size=2)
Special
Offers
Web
Application
Thread
pool
Error
Error
Bulkhead
(size=2)
- Fast page load
- No special offers
- Slow page load
- Including special
offers
Products
Payments
Web
Application
Special
Offers
Purchase
History
One bulkhead per service
Upper bound on number of
waiting threads
Protects very well against
cascading failure …
… if bulkhead sizes are …
… significantly smaller than
request pool size
Peak load when healthy
40 requests per second (rps)
0.1 seconds response time
Suitable bulkhead size
40 rps x 0.1 seconds = 4
+ breathing room = 7
Bonus: protects services
from overload
Semaphore bulkhead = new Semaphore(2);
Offers protectedGetOffers() {
if (bulkhead.tryAcquire(0, TimeUnit.SECONDS)) {
try {
return specialOffers.getOffers();
} finally {
bulkhead.release();
}
} else {
throw new RejectedByBulkheadException();
}
}
Many threads are waiting
Few available threads - low
throughput
All service calls are rejected!
Products
Payments
Web
Application
Special
Offers
Products
Payments
Web
Application
Special
Offers
Products
Payments
Web
Application
Special
Offers
Where have our
timeouts gone?!?
Broken Client Library
More protection required
Thread Pool HandoversCalling threads can always
walk away
Generic timeouts
Web Application
Request
thread
pool
Service
thread
pool
Service
Web Application
Request
thread
pool
Service
thread
pool
Service
Web Application
Request
thread
pool
Service
thread
pool
Service
Web Application
Request
thread
pool
Service
thread
pool
Service
Web Application
Request
thread
pool
Service
thread
pool
Service
Web Application
Request
thread
pool
Service
thread
pool
Service
Timeout
Web Application
Error
Request
thread
pool
Service
thread
pool
Service
Web Application
Error
Request
thread
pool
Service
thread
pool
Service call timeouts
still required
Service
Web Application
Bulkhead
includedRequest
thread
pool
Service
thread
pool
Service
Error
ExecutorService executor = new ThreadPoolExecutor(3, 3, 1,
TimeUnit.MINUTES, new SynchronousQueue<>());
Offers protectedGetOffers() {
try {
Future<Offers> future =
executor.submit(specialOffers::getOffers);
return future.get(1, TimeUnit.SECONDS);
} catch (RejectedExecutionException e) {
throw new RejectedByBulkheadException();
} catch (TimeoutException e) {
throw new ServiceCallTimeoutException();
}
}
Thread pool handovers are very
powerful!
What about performance?
Monitor
Service Calls
Timeout rate
Rejected call rate
Short circuit rate
Failure/success rate
Response times
Understand problems
before changing
configuration
”All this seems like
a lot of work!”
class GetOffersCommand extends HystrixCommand<Offers> {
public GetOffersCommand() {
super(HystrixCommandGroupKey
.Factory.asKey("SpecialOffers"));
}
@Override
protected Offers run() throws Exception {
return specialOffers.getOffers();
}
}
public Offers getOffers() {
return new GetOffersCommand().execute();
}
class GetOffersCommand extends HystrixCommand<Offers> {
// ...
@Override
protected Offers getFallback() {
return Offers.emptyOffers();
}
}
Design for failure
Use timeouts
Circuit Breakers
Bulkheads
Monitor service calls
https://github.com/
Netflix/Hystrix
Image Attributions
• Polycelis felina" by Eduard Solà - Own work. Licensed under CC BY-SA 3.0 via Commons -
https://commons.wikimedia.org/wiki/File:Polycelis_felina.jpg#/media/File:Polycelis_felina.jpg
• "Old book bindings" by Tom Murphy VII - Own work. Licensed under CC BY-SA 3.0 via Commons -
https://commons.wikimedia.org/wiki/File:Old_book_bindings.jpg#/media/File:Old_book_bindings.jpg
• "Cute Snail" by gniyuhs - Own work. Licensed under CC BY-SA 3.0 via deviantart - http://gniyuhs.deviantart.com/art/Cute-
Snail-278597934
• ”Cash” by 401(K) 2012 – Own work. Licensed under CC BY-SA 2.0 via Flickr -
https://www.flickr.com/photos/68751915@N05/6355816649
• "Circuit breakers at substation near Denver International Airport, Colorado" by Greg Goebel from Loveland CO, USA -
Yipws_2bUploaded by PDTillman. Licensed under CC BY-SA 2.0 via Wikimedia Commons -
https://commons.wikimedia.org/wiki/File:Circuit_breakers_at_substation_near_Denver_International_Airport,_Colorado.j
pg#/media/File:Circuit_breakers_at_substation_near_Denver_International_Airport,_Colorado.jpg
• ”The control room of the nuclear ship NS Savannah, Baltimore, Maryland, USA” - Own work. Licensed under CC BY-SA 3.0
via Commons -
https://en.wikipedia.org/wiki/File:NS_Savannah_control_room_MD1.jpg#/media/File:NS_Savannah_control_room_MD1.j
pg
Thank you! - Questions?
Kristoffer Erlandsson
kristoffer.erlandsson@avanza.se
@kerlandsson

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