Measuring Micro-services - Richard Rodger - Codemotion Rome 2015

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Codemotion Rome 2015 - Micro-service systems deliver wonderful adaptability to business needs, easy scalability, and low-risk deployment. What's not to like? You also end up with a system that's hard to understand, measure and predict. Traditional approaches to monitoring simply aren't powerful enough to handle the emergent properties of a system with lots of moving parts. The solution is to apply the scientific method! Anything can be measured. Uncertainty can be reduced, and stability can be an emergent property. We just have to learn the lessons that the natural world can teach us.

Software

Measuring Micro-services
Richard Rodger @rjrodger
nearform.com

Pulse. Temperature. Blood Pressure.
Micro-service systems have
emergent properties too.

nearForm & micro-services
50+ production systems.
The good, the bad, and the ugly.

What are micro-services?
Independent processes that
exchange messages.

Messages are fundamental.
Message behavior has emergent
properties.

Message flow rate.
Easy to measure. Tells you a lot.
Independent of services.

Deploy a new micro-service.
Does the new version
break anything?

To measure changes to services,
measure changes to message
flow rates.

Micro-service message patterns.
What to measure?
Here’s what we’ve found useful…

Actor.
A pool of services share message
load evenly (round-robin, say).

Subscriber.
Many services all listen for the
same set of message types.

Chain.
An initial message causes a chain
of serial message steps.

Tree.
An initial message causes a
flowering of child messages.

Why?
It's the risk, stupid!
Monoliths put everybody in danger.

Risk.
Reduction can be measured.
Leave elimination to Machiavelli.

Our "best practices" for risk.
Unit tests; code reviews; standards.
Do we have good measures?

We've just made things worse!
Microservices also have
emergent failure modes.

Let's attack both sides.
And we'll find a way to connect
both attacks.
Formal Methods
“Best Practices”
Measurement

Dynamic measurement.
Measure health of the system.
Exposes unknown unknowns.

Formal methods.
Correctness proofs are impractical.
Incomplete execution traces? FTW!
* http://research.microsoft.com/en-us/um/people/lamport/tla/tla.html
TLA+
Leslie Lamport *

Invariants.
Some things should never change.
Measure them to make sure!

Example.
E-commerce shopping cart.
add-item msgs == sales-tax msgs

Be practical!
Finding invariants is hard. Use the
microservice patterns to cheat.

Actor.
n actors means each actor sees
1⧸nof the messages.

Subscriber.
n subscribers means each sees
n messages.

Chain.
n inbound messages over k links
means nk chained messages.

Tree.
n inbound messages over k leaves
means nk leaf messages.

Look for cause/effect relationships.
These are by design! Validate your
message patterns in production.
“ask not what can go wrong,
ask what must go right…”
Chris Newcombe, AWS*
* http://research.microsoft.com/en-us/um/people/lamport/tla/amazon.html

When should you rollback?
Invariants should be the same
before and after deployment.

Is the system correct?
Business rules are invariants too!
Express as message relationships.

Are you about to be blindsided?
Combine individual indicators to
get a deeper measure of risk.

Measure what counts.
Find invariants. Measure them.
Follow: senecajs.org

Thank You!
Richard Rodger @rjrodger
nearform.com

Microservice systems have emergent properties related to message flow that can be measured. Key measures include message flow rates which indicate system health, and detecting changes after deploying new services. Useful message patterns to measure include actors, subscribers, and chains, which have predictable relationships between messages that can serve as invariants. Tracking these measures and invariants over time helps validate the system and detect potential problems.

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Performance tests are not only an important instrument for understanding a system and its runtime environment. It is also essential in order to check stability and scalability – non-functional requirements that might be decisive for success. But won't my cloud hosting service scale for me as long as I can afford it? Yes, but… It only operates and scales resources. It won't automatically make your system fast, stable and scalable. This talk shows how such and comparable questions can be clarified with performance tests and how DevOps teams benefit from regular test practise.

Sascha Wolter - Conversational AI Demystified - Codemotion Amsterdam 2019

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Sascha will demonstrate the opportunities and challenges of Conversational AI learned from the practice. Both Technology and User Experience will be covered introducing a process finding micro-moments, writing happy paths, gathering intents, designing the conversational flow, and finally publishing on almost all channels including Voice Services and Chatbots. Valuable for enterprises, developers, and designers. All live on stage in just minutes and with almost no code.

Michele Tonutti - Scaling is caring - Codemotion Amsterdam 2019

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A key challenge we face at Pacmed is quickly calibrating and deploying our tools for clinical decision support in different hospitals, where data formats may vary greatly. Using Intensive Care Units as a case study, I’ll delve into our scalable Python pipeline, which leverages Pandas’ split-apply-combine approach to perform complex feature engineering and automatic quality checks on large time-varying data, e.g. vital signs. I’ll show how we use the resulting flexible and interpretable dataframes to quickly (re)train our models to predict mortality, discharge, and medical complications.

Pat Hermens - From 100 to 1,000+ deployments a day - Codemotion Amsterdam 2019

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Coolblue is a proud Dutch company, with a large internal development department; one that truly takes CI/CD to heart. Empowerment through automation is at the heart of these development teams, and with more than 1000 deployments a day, we think it's working out quite well. In this session, Pat Hermens (a Development Managers) will step you through what enables us to move so quickly, which tools we use, and most importantly, the mindset that is required to enable development teams to deliver at such a rapid pace.

James Birnie - Using Many Worlds of Compute Power with Quantum - Codemotion A...

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Quantum computers can use all of the possible pathways generated by quantum decisions to solve problems that will forever remain intractable to classical compute power. As the mega players vie for quantum supremacy and Rigetti announces its $1M "quantum advantage" prize, we live in exciting times. IBM-Q and Microsoft Q# are two ways you can learn to program quantum computers so that you're ready when the quantum revolution comes. I'll demonstrate some quantum solutions to problems that will forever be out of reach of classical, including organic chemistry and large number factorisation.

Don Goodman-Wilson - Chinese food, motor scooters, and open source developmen...

Codemotion

Chinese food exploded across America in the early 20th century, rapidly adapting to local tastes while also spreading like wildfire. How was it able to spread so fast? The GY6 is a family of scooter engines that has achieved near total ubiquity in Europe. It is reliable and cheap to manufacture, and it's made in factories across China. How are these factories able to remain afloat? Chinese-American food and the GY6 are both riveting studies in product-market fit, and both are the product of a distributed open source-like development model. What lessons can we learn for open source software?

Pieter Omvlee - The story behind Sketch - Codemotion Amsterdam 2019

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Dave Farley - Taking Back “Software Engineering” - Codemotion Amsterdam 2019

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Would you fly in a plane designed by a craftsman or would you prefer your aircraft to be designed by engineers? We are learning that science and empiricism works in software development, maybe now is the time to redefine what “Software Engineering” really means. Software isn't bridge-building, it is not car or aircraft development either, but then neither is Chemical Engineering. Engineering is different in different disciplines. Maybe it is time for us to begin thinking about retrieving the term "Software Engineering" maybe it is time to define what our "Engineering" discipline should be.

Joshua Hoffman - Should the CTO be Coding? - Codemotion Amsterdam 2019

Codemotion

What is the job of a CTO and how does it change as a startup grows in size and scale? As a CTO, where should you spend your focus? As an engineer aspiring to be a CTO, what skills should you pursue? In this inspiring and personal talk, I describe my journey from early Red Hat engineer to CTO at Bloomon. I will share my view on what it means to be a CTO, and ultimately answer the question: Should the CTO be coding?

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