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InfoQ Homepage Articles Key Takeaway Points and Lessons Learned from QCon San Fransisco 2019

Key Takeaway Points and Lessons Learned from QCon San Fransisco 2019

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Each November in San Francisco, 1,600 senior software engineers and architects transform the Hyatt Regency off Embarcadero into the epicenter of software. QCon San Francisco 2019, the 13th edition of the International Software Conference that visits the Bay Area annually, was no exception.

This year’s conference featured 177 speakers, track hosts, workshop presenters, and committee members. These are people like one of the foremost thinkers in the DevOps movement John Willis, CEO/Co-Founder of DarkLang Ellen Chisa, and VP Cloud Architecture Strategy @AWSCloud Adrian Cockcroft.

The conference kicked off with an opening keynote from Pat Helland. Pat is the principal software architect at Salesforce where he works on cloud-based, multi-tenant database systems. He is also legend in software when it comes working distributed systems. You may have read some of his past work in the ACM Queue including Immutability Changes Everything, Consistently Eventual, and Identity by Any Other Name.

Pat’s QCon San Francisco opening keynote was Mind Your State for Your State of Mind and considered how distinct application patterns have grown over time to leverage different types of distributed stores. The talk concluded with a set of actionable takeaways including "Different applications demand different behaviors from durable state." So ask yourself, "Do you want it right ("read your writes") or do you want it right now (bounded and fast SLA)?"

Over the following three days (and the additional two workshop days) there were tracks on building socially conscious software, including Alex Qin’s How Do We Heal?, understanding the software supply chain in today’s containerized world, including GitHub’s Nickolas Means’ Securing Software From the Supply Side and diving into the languages of infrastructure, with talks like Lachlan Evenson’s Helm 3: A Mariner's Delight.

A personal highlight of mine came in the track I hosted (Living On The Edge: The World of Edge Compute From Device to Infrastructure Edge). Long time QCon attendee Vasily Vlasov of Netflix’s Cloud Gateway team, gave his first QCon talk, to rave reviews. It earned one of my top five recommendations of day 3.

After three intensive days chatting, discussing, and learning from some of today’s leading minds in software, it ended with the perfect closing keynote. Dr Pamela Gay is a senior scientist at the Planetary Science Institute where she’s mapping the surface of celestial objects. She’s part of the team that worked to find where they could land a spacecraft on a 500m wide asteroid tumbling through space. Her talk was about the limitations of AI and how science needs citizen scientists to crowdsource the massive amount of work involved. Her talk (and transcript) is available now on InfoQ. If you haven’t seen it yet, take 45 minutes and prepare to be inspired.

As always, some members of InfoQ's team of practitioner-editors were present and wrote a number of posts about the event. Below we've summarized the key takeaways and highlights as blogged and tweeted by attendees. Over the course of the next several months, InfoQ will be publishing the majority of the conference sessions online.

 

Keynotes and Recommended Talks

Conference Chair’s Top Talks for Each Day

@QConSF: Looking for some talks to watch during your travels home from #QConSF? @wesreisz shares his recommendations from day 1 https://twitter.com/QConSF/status/1194300176438976512

@gunnarmorling: Wow, feeling really honoured to be listed in the #QConSF Day 2 viewing recommendations by @wesreisz; Thanks again to everybody for joining my session! https://twitter.com/gunnarmorling/status/1194738619094712320

@wesreisz: ...and without further adieux, here are the QCon Day Three recommendations. If you attended, all the videos are available. If you didn't make it to the conference, ping someone who did. They have about 50 shares each. http://infoq.com/conferences/qconsf2019#QConSF https://twitter.com/wesreisz/status/1195122243954626562

Microcultures and Finding Your Place by Mike McGarr

Twitter feedback on this keynote included:

@shanehastie: #QConSF @SonOfGarr Cultures and microcultures matter and you can't avoid it https://t.co/DdkqaQ6UKF

@shanehastie: #QConSF @SonOfGarr Culture has an immune system that resists change

@shanehastie: #QConSF @SonOfGarr Culture comes into existence when a single individual recruits at least one other and they create shared beliefs about why and how they are successful. The core values. behaviors are visible and reflective of the core values

@shanehastie: #QConSF @SonOfGarr The spectrum of behaviors that expose the culture. Tolerated or accepted behaviors expose the real culture. https://t.co/BuLvTGaCZa

@shanehastie: #QConSF @SonOfGarr Components of culture Culture is encapsulated in behaviors. https://t.co/LMCLNoCEnp

@danielbryantuk: Great start to @SonOfGarr's #QConSF keynote about organizational culture, with a shout out to the book American Nations. "Culture surrounds us, and it determines and limits your strategy. You will be well placed to take time to understand your organization's culture" https://t.co/p5tTqWmFow

@shanehastie: #QConSF @SonOfGarr When thinking about the culture you want to be part of, start by identifying the behaviors you want to experience

@bou_majeed: #QConSF day 3 keynote: in organizations: tools, process and people are visible while values and behavior are not!!

@shanehastie: #QConSF @SonOfGarr Three types of artifacts that are visible evidence culture. https://t.co/vvXSfT229E

@shanehastie: #QConSF @SonOfGarr Examples of language artifacts that indicate the explicit and consistent aspects of culture https://t.co/J8w51s6pNb

@shanehastie: #QConSF @SonOfGarr Dimensions of culture to understand https://t.co/UxWoPszo8Y

@shanehastie: #QConSF @SonOfGarr Interviewing for culture https://t.co/d5bnjyLpXI

@shanehastie: #QConSF @SonOfGarr The influence of founders on culture visible through the org chart https://t.co/ToAOdu5KrZ

@shanehastie: #QConSF @SonOfGarr Quote - the most important people for your culture are the ones who leave As a manager modeling behavior is the most important thing you can do https://t.co/7AYr0tTYv5

@shanehastie: #QConSF @SonOfGarr Microcultures come from the people leader in a team or area of the org. Microcultures can feel like working in completely different businesses https://t.co/NysXSmVcvW

@mary_grace: Microcultures spring up within companies from the C-suites down. If the leaders have unique enough leadership styles, a company can hit a point where each department feels like an entirely different company. @SonOfGarr #QConSF https://t.co/C8UD6Ijelc

@shanehastie: #QConSF @SonOfGarr Tools have an impact on culture too. Eg Java vs Ruby. Tools have communities that form around them and the beliefs of those communities seep into the organization. This can result in tensions between groups. https://t.co/ggOgikckYu

@PurposeCreator: Programming languages are a reflection of microcultures in an organization #QConSF https://t.co/WI91oRHs7x

@shanehastie: #QConSF @SonOfGarr Tools enable and constrain the behaviors of people in the organization Changing tools can cause behaviors to change https://t.co/B2j4Jrd8ff

@mary_grace: Tools enable and constrain behavior. They don't solve every problem, but they can at times influence decisions and change behavior. @SonOfGarr #QConSF

Mind Your State for Your State of Mind by Pat Helland

Twitter feedback on this keynote included:

@danielbryantuk: Great fun listening to @PatHelland talk about state management in his #QConSF keynote This is really important for microservice-based systems https://t.co/ZxWurTHCeV

@danielbryantuk: "Transaction management with microservices can be challenging, outside of a single call to the data store. Microservices stink when it comes to session management" @PatHelland #QConSF https://t.co/Oqcgk1R4Y8

@ddoomen: Different problems need different solutions... #qconsf https://t.co/TM01aW1Aqs

@shanehastie: #QConSF @PatHelland key takeaways https://t.co/5JQgpzQmoo

When Machine Learning Can't Replace the Human by Pamela Gay

Twitter feedback on this keynote included:

@shanehastie: #QConSF @starstryder The goal is to create a platform where the generation of knowledge is easier than it is today

@shanehastie: #QConSF @starstryder We initiate you to join us to create knowledge and understanding https://t.co/KdSNIsJ7jc

@SusanRMcIntosh: When Keats said he wants a love as constant as the star, he seemed to forget they explode @starStryder #QConSF

Architectures You've Always Wondered About

Secrets at Planet-Scale: Engineering the Internal Google KMS by Anvita Pandit

Steef-Jan Wiggers attended this session:

Anvita Pandit, senior developer at Google, explained Google’s internal Key Management System (KMS), which supports various Google services. This internal KMS manages the generation, distribution and rotation of cryptographic keys, and also handles other secret data. Moreover, the internal KMS supports various services on the Google Cloud Platform (GCP), including the Cloud KMS, and therefore this system needs to scale.

Implementing encryption at scale requires a highly available key management, which means 99.999% at Google. To achieve this, Google uses several strategies, as presented by Pandit:

  • Best practices for change management and staged rollouts
  • Minimize dependencies, and aggressively defend against their unavailability
  • Isolate by region and client type
  • Combine immutable keys and wrapping to achieve scale
  • Provide a declarative API for key rotation

Building & Scaling High-Performing Teams

Mistakes and Discoveries While Cultivating Ownership by Aaron Blohowiak

Twitter feedback on this session included:

@charleshumble: Netflix culture - avoid rules, people over process, context not control, freedom and responsibility. Freedom and responsibility runs deep - it isn't just a slogan - we hold you to account for the quality of your decision making. @aaronblohowiak #qconsf

@charleshumble: From the CEO down the hierarchy, responsibility at Netflix is delegated. Likewise from the CEO down the hierarchy, vision is refined. The job of the leadership is to narrow the scope; people close to the work can make the best decisions. @aaronblohowiak #qconsf

@charleshumble: The expectation for every employee at Netflix: Responsibility and follow-through, proactivity and anticipation. Great long-term decisions. @aaronblohowiak #qconsf

@charleshumble: What is ownership: A collection of beliefs, attitudes and behaviors. Ownership is not binary, it is a spectrum. @aaronblohowiak #QConSF

@charleshumble: Levels of ownership. We want to spend the minimum amount of time on levels 0-2 0) Demonstration 1) Oversight 2) Observation 3) Independent execution - very little management oversight. 4) Vision @aaronblohowiak #QConSF

@charleshumble: @aaronblohowiak A common mistake is not to be explicit about what level you are at - otherwise you and your report/peer can think you are at different levels. Also be explicit when there level changes. @aaronblohowiak #qconsf

@charleshumble: @aaronblohowiak If someone is stuck in an approval-seeking behavior pattern, they may just be waiting for permission to stop. @aaronblohowiak #qconsf

@charleshumble: @aaronblohowiak Even amazing people shouldn't start at a high level because they don't understand the current context. @aaronblohowiak #QConSF

@charleshumble: Someone asking don't you trust me is the best signal, as a manager, that you are a crap manager. Ownership evolves. Not just over the course of relationships, but also over the course of projects. @aaronblohowiak #QConSF

@danielbryantuk: Great takeaways from @aaronblohowiak's #QConSF talk about cultivating ownership I like the model of levels of where you and your manager think you're working at, and how things can go wrong with this https://t.co/KGCorRr7cE

@danielbryantuk: "Given the right context and the freedom to do what's best, people will make great decisions" @aaronblohowiak at #QConSF on Netflix's freedom and responsibility culture https://t.co/Rg75X3hOZZ

@charleshumble: Firing someone is never easy, but if you have a team/corporate value, firing and hiring are where that value is expressed. @aaronblohowiak #QConSF

Passion, Grace, & Fire - The Elements of High Performance by Josh Evans

Twitter feedback on this session included:

@danielbryantuk: Ownership-oriented culture, and a look inside Netflix's leadership principles, via @ZenTeknologist at #QConSF - extreme transparency - deep delegation - radical honesty - true accountability https://t.co/ouxscnmICi

@danielbryantuk: Seeking and working with fully formed adults at Netflix, via @ZenTeknologist at #QConSF "Average performance at Netflix results in a generous severance package" https://t.co/SiEnYMIZ7t

@danielbryantuk: A guest appearance from @philip_pfo in @ZenTeknologist's #QConSF talk about leadership "The ability to delegate to someone who was willing to take complete ownership was essential to scale the team" https://t.co/NLDOt4GqYZ

@ddoomen: Good overview on how to align the passion and skills of people with the goals of your organization #QConSF https://t.co/KSEaryYFRo

@danielbryantuk: Deep questions and thinking points for your career journey as an individual and leader, via @ZenTeknologist at #QConSF https://t.co/a1PSOEcFIz

@marcofolio: Great session by @ZenTeknologist at #QConSF about building & maintaining an Ownership-Oriented Culture. Autonomy with Passion, Grace & Fire for fully formed Adults. https://t.co/0K60UvyJiq

The Focusing Illusion of Developer Productivity by Courtney Hemphill

Twitter feedback on this session included:

@alienelf: "People tend to get behind missions, rather than decrees" ~ @chemphill #QConSF https://t.co/PXCwowAJDJ

Ethics, Regulation, Risk, and Compliance

Ethics Landscape by Theo Schlossnagle

Twitter feedback on this session included:

@hbao: Ethics is a software engineer's responsibility because you are building products that have wide social impacts. #QConSF @postwait https://t.co/hO4WTZPVjZ

Languages of Infrastructure

Automated Testing for Terraform, Docker, Packer, Kubernetes, and More by Yevgeniy Brikman

Steef-Jan Wiggers attended this session:

Key takeaways from the talk included the recommendation to use an appropriate mix of all testing techniques, such as static analysis, unit tests, integration tests, and end-to-end tests. As demonstrated through the use of a "testing pyramid", he suggested creating many unit tests and static analysis tests, fewer integration tests, and only a handful of end-to-end tests. Ultimately, testing infrastructure code will establish confidence and get rid of the fear of deployment ...

Brikman suggested that DevOps teams deploy less, leading to deployment only working 60% of the time. A better way of dealing with fear is to do automated tests, which raises confidence. As Brikman puts it, everyone knows how to write automated tests for application code, but how to test Terraform code that deploys infrastructure that works or Kubernetes code that ultimately deploys services is different ...

An overview of several techniques to test infrastructure code was provided:

  • Static Analysis
  • Unit tests
  • Integration tests
  • End-to-end test

… Brikman recommends using all of the testing techniques available.

Living on the Edge: The World of Edge Compute from Device to Infrastructure Edge

Machine Learning on Mobile and Edge Devices With TensorFlow Lite by Daniel Situnayake

Steef-Jan Wiggers attended this session:

The key takeaways from this talk included understanding and getting started with TensorFlow Lite, and how to implement on-device machine learning on various devices – specifically microcontrollers – and optimizing the performance of machine learning models ...

Situnayake … began the presentation by explaining what machine learning is. In a nutshell, he summarizes it as follows:

Traditionally a developer feeds rules and data into an application, which then output answers, while with machine learning the developer or data scientist feeds in the answers and data, and the output are rules that can be applied in the future.

He pointed out that the two main parts of machine learning are training and inference:

The inference is most useful to do on edge devices, while training usually takes a lot of power, memory and time; three things edge devices don’t have.

… Beyond mobile devices, TensorFlow Lite can work on things like Raspberry Pi (embedded Linux), edge TPUs (Hardware Accelerators), and microcontrollers, which allows for machine learning "on the edge". With machine learning on the edge, developers may not have to worry about bandwidth, latency, privacy, security, and complexity. However, there are challenges, such as limited compute power, especially on the microcontroller, and limited memory and battery life. Yet, Situnayake said TensorFlow Lite mitigates some of these challenges, and allows developers to convert an existing machine learning model for use in TensorFlow Lite and deploy it on any device ...

Lastly, Situnayake discussed making models perform well on the devices. TensorFlow offers tools and techniques for improving performance across various devices – varying from hardware accelerators to pruning technique.

Self-Driving Cars as Edge Computing Devices by Matt Ranney

Twitter feedback on this session included:

@danielbryantuk: The autonomous car as an edge device... Interesting insight from @mranney at #QConSF https://t.co/FTVPNDerXe

@wesreisz: Quick intro to vocabulary of robotics #uberatg @mranney #qconsf https://t.co/HD3zyoqKRt

@danielbryantuk: @FitzXyz @mranney yeah, I've found that "edge" is quite an overloaded term. This #QConSF track covers nearly all definitions of the edge: this tweet is more about edge devices/IoT, but there are also talks about the CDN/API gateway edge, too

@emballerini: How does one do end-to-end testing on self-driving cars? You build a 40-acre test track (among other things). Fascinating presentation by @mranney #QConSF https://t.co/cjtjU7RkgI

Microservices Patterns & Practices

Controlled Chaos: Taming Organic, Federated Growth of Microservices by Tobias Kunze

Twitter feedback on this session included:

@breckcs: Controlling the organic, federated growth of #microservices by @tkunze: going beyond #observability to #controllability. #QConSF https://t.co/1Ft9o2pOa2

@marcofolio: Those are some interesting stats by @tkunze ! The huge impact of one router failure, shared on #QConSF . Can we control this chaos within microservices? https://t.co/hx7IkKw9Sj

@ddoomen: A very good example of the operational complexity of a growing landscape of microservices #qconsf https://t.co/s1SBu6czjn

Managing Failure Modes in Microservice Architectures by Adrian Cockcroft

Twitter feedback on this session included:

@danielbryantuk: Fascinating insight into availability, safety, and security within modern systems, via @adrianco at #QConSF https://t.co/rz2OSzPtGc

@danielbryantuk: Great intro to observability, and a discussion of how the STPA Model from the book "Engineering a Safer World" relates to modern software systems, via @adrianco at #QConSF https://t.co/OIUmN1mpag

@danielbryantuk: Interesting intro to Failure Modes and Effects Analysis (FMEA) for web services and infrastructure, via @adrianco at #QConSF https://t.co/6jiulzGle0

Stateful Programming Models in Serverless Functions by Chris Gillum

Steef-Jan Wiggers attended this session:

He discussed two stateful programming models -- workflow and actors -- using Azure Functions, which is Microsoft’s implementation of serverless computing.

Gillum started by talking about Azure Functions, which are "serverless" by nature; the hosting environment supports autoscaling, and running functions are pay per use. Azure Functions are like AWS Lambda, Google Cloud Functions, or other Function as a Service (FaaS) platforms. However, the difference is the "bindings" abstraction, which decouples the code from the data source or destination. It is the central part of the programming model, and the concept allows for building more advanced programming models.

Next, Gillum pointed out the principles and best practices that apply for running functions like Lambda and Azure Functions:

  • Functions must be stateless
  • Functions must not call other functions
  • Functions should do only one thing

… Gillum stated that the event sourcing allows Microsoft to support multiple languages, such as the combination of .NET and JavaScript....

Besides workflows, developers can also leverage the actor programming model in Durable Functions. Gillum said:

Actors will be a first-class concept in Durable Functions, alongside orchestrations. Customers will be able to use one or both of our stateful programming models in the same application, depending on their needs.

User & Device Identity for Microservices @ Netflix Scale by Satyajit Thadeshwar

Twitter feedback on this session included:

@danielbryantuk: How the Netflix login flow (and related systems) has evolved over the past year, via Satyajit at #QConSF "moving authentication to the edge has improved performance, coupling, and security" https://t.co/jWGF5S7B5O

Modern Data Architectures

Future of Data Engineering by Chris Riccomini

Twitter feedback on this session included:

@gwenshap: "we use terraform to manage Kafka topics and connectors. This topic has compaction policy, which is an exciting policy to have when you system evolves". @criccomini at #QConSF

@gwenshap: #QConSF - @criccomini shares that WePay data infrastructure is based on Airflow, Kafka and BigQuery.

@gwenshap: "we use terraform to manage Kafka topics and connectors. This topic has compaction policy, which is an exciting policy to have when you system evolves". @criccomini at #QConSF

Steef-Jan Wiggers attended this session:

Riccomini stated that his intention with this talk was to provide a survey of the current state of the art for data pipelines, ETL, and data warehousing, and to look forwards at where data engineering may be heading:

The two primary areas where I think we're going are towards more real-time data pipelines and towards decentralized and automated data warehouse management.

...In his talk Riccomini provided an overview of the various stages of data engineering, from an initial "none" stage up to a "decentralization" stage:

  • Stage 0: None
  • Stage 1: Batch
  • Stage 2: Realtime
  • Stage 3: Integration
  • Stage 4: Automation
  • Stage 5: Decentralization

Each stage depends on the situation an organization is in, and has some challenges...

Riccomini said that WePay is at a particular stage - some companies are further ahead, and some behind, but these stages can help to build a roadmap...

Lastly, Riccomini went on to explain the final stage, "decentralization", a stage in which an organization has a fully automated real-time data pipeline. However, the questions is, does it require one team to manage this? According to Riccomini, the answer is "no", as he stated in the future multiple data warehouses will be able to be set up and managed by different teams. In his view, traditional data engineering will evolve from a more monolithic data warehouse to so-called "microwarehouses" where everyone manages their own data warehouse.

Taming Large State: Lessons From Building Stream Processing by Sonali Sharma, Shriya Arora

Twitter feedback on this session included:

@gwenshap: At Netflix, we are big on A/B testing. If someone has an idea, we try it immediately. And can't wait for the results to arrive #qconsf @sonali_sh https://t.co/Z3wUKJAg9X

Optimizing Yourself: Human Skills for Individuals

Optimizing Yourself: Neurodiversity in Tech by Elizabeth Schneider

Susan McIntosh attended this session:

What's your superpower? Elizabeth Schneider posed this question early in her talk on neurodiversity at QConSF 2019, as she explained to the audience how understanding her own neurodiversity gave her greater strength to work with others and deliver great work. However, she also had to recognize that she had weaknesses (kryptonite), and needed to recharge in an appropriate fortress of solitude, just like other superheroes...

As a programmer several years ago, Schneider came to understand that she communicated differently than others after her scrum master had the team do a quick self-evaluation on communication styles; most of the rest of the team was in a completely different quadrant than where Schneider found herself. This helped her recognize that she could learn how to adjust her communication style to fit the needs of others, and to ask for specific adjustments in how others communicated with her. She gave the example of having other in her team give her a cue (tapping on the wrist) when she got too excited about a specific topic.

Understanding the difference between empathy and sypmathy also helped Schneider improve her ability to communicate with her team. Referencing Brené Brown’s work on empathy, Schneider discussed how being able to "put yourself in someone’s shoes" has helped her better recognize the needs of the customer, the product owner, and other team members.

While communication and interactions with others is important to understand, Schneider also noted a couple of environmental changes that, while subtle, can improve productivity. Citing research on office temperature, Schneider notes that a small increase in the physical heat of an office can result in greatly improved cognitive function in women.  Additionally, she encourages the use of "focus time" - four or more hours of uninterrupted time - where deep thinking can occur.

Practices of DevOps & Lean Thinking

Mapping the Evolution of Socio-Technical Systems by Cat Swetel

Twitter feedback on this session included:

@DivineOps: When #ticketmaster was born, computers were not obvious! That's why computer is in the name! That's how we ended up with a custom OS You have to recognize where you are on that evolution timeline @CatSwetel #QConSF https://t.co/LkjCY1mZTs

@charleshumble: Thinking about Wardley mapping. How do you treat a component. How does the rest of the industry treat the same component. @CatSwetel #QConSF https://t.co/nF1smPMVEf https://t.co/xuXGlyuMeq

@DivineOps: How do developers metabolize information? We write code! And the longer and the more code we write the more technical debt we end up with @CatSwetel #qconsf https://t.co/kYhe2m4m5j

@DivineOps: If #devops is just a #mindset, then we can all sit in a room, change their minds, and live happily ever after! I mean what's wrong with you all not being able to implement it? Do you not want it badly enough?! @CatSwetel #QConSF https://t.co/gXeEqEanrM

@charleshumble: The map is not the thing. You must also construct the narrative. Likewise DevOps is not (just) a mindset. @CatSwetel #QConSF. (the quote in the photo is from 1952.) @CatSwetel #QConSF. https://t.co/hoG5BaaoCj

@charleshumble: Ticketmaster runs an emulated VAX. Why? It had 43 years of getting really good at its job. @CatSwetel #QConSF.

@charleshumble: What happens to all the legacy code. How do we innovate responsibility? We are such a young industry, we are just getting started. @CatSwetel #QConSF

@DivineOps: You can tell that we are a young industry because we are measuring the age of our systems in months We have to stop sh!tting on things because they are old @CatSwetel #qconsf https://t.co/nZtfAyqsXU

@DivineOps: The map is _not_ the thing The map (just like code) becomes immediately outdated as soon as you create it The act of mapping is what makes our obstacles conspicuous @CatSwetel #QConSF https://t.co/OLv9EG3JD4

Production Readiness: Building Resilient Systems

Observability in the Development Process: Not Just for Ops Anymore by Christine Yen

Twitter feedback on this session included:

@danielbryantuk: "Observing our code in production is a form of testing. Throughout the software development process, we should be optimising for feedback: both in dev and prod" @cyen #QConSF https://t.co/JnD9DYg3SF

@danielbryantuk: "Fine-grained release mechanisms like feature flags are very useful, but you must have the ability to get fine-grained feedback from the changes in order to derive the full value" @cyen #QConSF https://t.co/6qq6YVERDx

@danielbryantuk: "Tools should speak my language. Hearing that CPU usage is high across a cluster doesn't provide as much value as learning that the latency of an expensive API endpoint increased for an important customer after our latest deploy" @cyen #QConSF https://t.co/DduXFnILwf

@danielbryantuk: Nice takeaways from @cyen's #QConSF talk about observability in the development process https://t.co/8jyPSuzs9q

Socially Conscious Software

Holistic EdTech & Diversity by Antoine Patton

Twitter feedback on this session included:

@haacked: Antoine Patton (founder of @unlockacademy) speaking about lack of access, money, and time as a barrier to marginalized people who want to learn to code. #QConSF https://t.co/W8zwHlz3HS

@alexqin: Wow Antoine Patton of @unlockacademy just facilitated a Diversity Design sprint for a room FULL of people to design education programs that solve tech's lack of diversity at scale #QConSF I have never seen this done at a conference before https://t.co/vuTJI6piqQ

Impact Starts With You by Julia Nguyen

Twitter feedback on this session included:

@alexqin: We are worth more than our side hustles, our careers, our salaries @fleurchild #QConSF too real  https://t.co/kZvoWFoVGy

@alexqin: It's ok to take breaks it's ok to leave things @fleurchild #QConSF https://t.co/rUUYcrvjHM

@alexqin: I come from a family of refugees and I carry the refugee mentality with me still. That I need to uplift my community. @fleurchild #QConSF https://t.co/5E4ASXdxMj

@alexqin: I don't have to suffer in order to care @fleurchild #QConSF https://t.co/KsZsIKNhQu

Software Supply Chain

Shifting Left with Cloud Native CI/CD by Christie Wilson

Twitter feedback on this session included:

@sarah_shewell: Our systems are becoming more and more complex making configuration as code critical. We wouldn't debug if we knew the answer. Debugging is learning. @bobcatwilson #QConSF https://t.co/yRAKQUwohS

@desbiens: Shifting left with cloud native CI/CD with @bobcatwilson using @tektoncd #QConSF https://t.co/uVAyd4AxIx

The Common Pitfalls of Cloud Native Software Supply Chains by Daniel Shapira

Twitter feedback on this session included:

@aysylu22: Excellent overview of security aspects of software supply chains by @Da5h_Solo. Some Qs to ask when ensuring secure supply chains: - can anyone access anything w/o authenticating? - what permissions do auth'd users have? - any sensitive info in commit/build history? #qconsf https://t.co/YSv1g8hPRJ

Trust, Safety & Security

Exploiting Common iOS Apps’ Vulnerabilities by Ivan Rodriguez

Twitter feedback on this session included:

@vixentael: Great start of security track at #QConSF! @ivRodriguezCA describes how he reverse engineered iOS apps and what typical vulnerabilities he found! Highly recommend to check his blog & github if you're interested in RE: https://t.co/Fe3ZRRr0zB https://t.co/tPlanooz8n

@vixentael: App blindly opens URL received from server — okay, we will put a malicious link there! #qconsf @ivRodriguezCA https://t.co/7SoHJ1tovF

@vixentael: Remote MitM attack on vulnerable iOS apps Lucky it's just a demo, otherwise I'd turn off my phone immediately … @ivRodriguezCA #QConSF https://t.co/cRsViwaICZ

@vixentael: Repeat after me: HTTPS is not enough! @SyntaxPolice #QConSF https://t.co/NHxeu98VvN

@vixentael: End-to-end encryption is useful not for chat applications. E2EE helps to protect data that's 'flying' from server to server. @SyntaxPolice #QConSF https://t.co/yCLLFjv4fy

@vixentael: Crypto in web browser? Dream or reality? Depends on your threat model! #qconsf @SyntaxPolice https://t.co/H7xCSb6YuW

Reflecting on a Life Watching Movies and a Career in Security by Jason Chan

Twitter feedback on this session included:

@vixentael: Being in security team is hard: think about how much software we have now in our houses, in our cars, in mobile devices. @chanjbs is reflecting on modern security processes at #QConSF https://t.co/svAz8OzaQa

@vixentael: Questions to ask in your org: do you want to train your engineers as security experts, or to help them to build secure systems? @chanjbs at #QConSF https://t.co/A2zV42Xzwt

Security Culture: Why You Need One and How to Create It by Masha Sedova

Twitter feedback on this session included:

@vixentael: Security culture is part of the enterprise culture itself. If you try to build security culture that mismatches company's culture, you will fail. People are driven on what kind of behavior is rewarded and what is punished. @modMasha at #QConSF https://t.co/odK0BXd3k9

@vixentael: Negative security culture appears when bad security decisions are not punished, and good security decisions are not enforced. Which kind of culture you have: Compliance, Process, Trust, Autonomy? @modMasha #QConSF https://t.co/88V7aDYxfE

@vixentael: Everyone has a security culture! @modMasha #QConSF https://t.co/jFX513YXxH

Small Is Beautiful: How to Improve Security by Maintaining Less Code by Natalie Silvanovich

Twitter feedback on this session included:

@vixentael: @natashenka #QConSF How to narrow down the attack surface? - remove old / unused code - keep an eye on shared code that you use often, one bug — problems everywhere - check/update dependencies! https://t.co/rSPt9tSomC

@vixentael: Chrome Sandbox is a huge system @natashenka at #QConSF https://t.co/WfxygJUKRP

Sponsored Solutions Track V

3 Common Pitfalls in Microservice Integration and How to Avoid Them by Niall Deehan

Twitter feedback on this session included:

@mary_grace: Failing fast is important but requires a good solution and a chance to try again. @NiallDeehan #QConSF

Unofficial Events

Women in Tech & Allies Breakfast (Co-Sponsored by Netflix) by Wade Davis

Susan McIntosh attended this session:

The Women in Tech & Allies breakfast at QCon San Francisco featured Wade Davis, the vice president of inclusion strategy and product at Netflix. Davis encouraged allies to "act in solidarity" with women, favoring this more collaborative, interactive phrase than the passive description of "ally." He noted that the activity is not done after one event, but is rather daily action and interaction — he encouraged all to "show up every day" in the journey of understanding and supporting women in technology...

Davis recommended a handful of items: read books by women; amplify what they recommend by frequently attaching their name to their ideas in conversations; and dig into behavior with more specific questions ("What would cause you to get involved?" rather than "Why aren't you involved?").

Opinions about QCon

Impressions expressed on Twitter included:

@PurposeCreator: I appreciate the values that guide this conference. #QConSF !! https://t.co/bXF9SdtPHp

@bou_majeed: One #ux of badges is to use them for talks feedback #QConSF https://t.co/ehmqrGC0kn

@BettyJunod: Special thank you to @kcasella for organizing such an amazing event this morning at #QConSF A wonderful way to meet with folks at the conference and was brought to tears at times from a very powerful and thoughtful talk by @Wade_Davis28

@floydmarinescu: @QConSF goes the extra mile for attendees. One of the three levels of the conference venue has no windows. So what do we do? Living green wall, full spectrum day lighting, and huge plants. #qconcares #qcon #qconsf https://t.co/JSuD9mTIW0

@CatSwetel: Oh! I almost forgot to thank @botchagalupe for the *amazing* interpretive dance intro for my #qconsf talk. I've asked to be introduced through interpretive dance *many* times, but for some reason, people always think I'm joking.

@PurposeCreator: Thank you conference organizers for putting together a great learning experience at #qconsf https://t.co/CYWSPetT9W

@PurposeCreator: #QConSF superb job cultivating diversity, mastery, community!

Carl Chesser attended the conference:

This was my first time attending QCon, and I was really impressed with the quality of the conference. I have been a long time consumer of content on InfoQ, so it was great to be there in person and meet more practitioners that are working on interesting problems...

QCon is a conference which organizes its talks into specific tracks. Track hosts that have been identified as experts in that domain, then do the work of identifying speakers to talk in these tracks. This approach makes it very clean on how they have direct selection on the talks to ensure they fulfill the targeted track and the speakers are known for being good at public speaking. As a result, majority of the talks are well prepared and are conveyed in an effective way. The conference was held all within a single location, Hyatt Regency in San Francisco, which made the logistics for attendees quite convenient. It was easy to get to and from talks, allowing you more time to strike conversations with others, and lowering the stress of having to determine where do I need to go next...

While at the conference, I had the opportunity to connect and talk with many other engineers and practitioners. By being in San Francisco, I was able to reconnect with a couple former colleagues which made it a really valuable time. I then was able to connect with other speakers which I found extremely valuable. ... Several times I found people some tie back to the Kansas City area (where I’m from) or work in the related industry (healthcare). By having my talk announced before the conference, I also had some other planned meetings with companies and start-ups to learn more about what they were trying to solve, and how it related to challenges we were facing at our company. Having these scheduled meetings were valuable to have additional conversations that I wouldn’t probably normally engage if I didn’t plan beforehand.

Takeaways

Takeaways from QCon London included:

@vixentael: Great security track today at #QConSF @QConSF! I'm so grateful to our speakers, they delivered amazing security talks " deep, detailed, easy to understand  Average rating for the track: 90% green! Also, you can ALREADY check slides online: https://t.co/Wch7ZyRQA2

@glamcoder: Thanks @QConSF for having me! That was an amazing experience and I'm so grateful for all the people who came to listen my talk. Love being part of such a great conference. And now it's end and I'm looking forward to future opportunities. #QConSF https://t.co/xcQGxJt46D

@11329032: It was such an honor to speak @QConSF about the work that I do. This is a really impressive conference and I loved talking with and learning from other speakers

@JamesonL: Just finished up attending #QConSF and I had an amazing time. A great place to hear about the newest challenges Tech is facing... and more importantly, how we're solving them!

@Yssybyl: Back home after #QConSF - had a great time as a speaker and learned a lot from the other talks. If a QCon is happening near you I'd recommend it, you won't be disappointed!

@gunnarmorling: @mwessendorf @QConSF Thanks, Matthias; being at #QConSF was an outstanding experience, enjoyed every minute!

@ddoomen: I absolutely love the networking opportunities #qconsf offers. Lunches, open spaces, the long breaks, everything is designed to meet other people and exchange experiences and learnings across the world. https://t.co/N1HUdGjzXT

@bou_majeed: It was busy and enjoying week at #QConSF I learned a lot, had fun, and had opportunity to meet great people. Thanks to everyone who made this successful and perfect https://t.co/0Hd8Z0RcnP

Carl Chesser attended the conference:

It was a great experience being at QCon. I really enjoyed getting to meet and talk with other engineers and the talks within this conference were strong. I hope it works out to attend future QCon conferences, and I’m really thankful for the opportunity for speaking at this event.

Conclusion

InfoQ produces QCons in 8 cities around the globe (including our newest edition QCon Munich). Our focus on practitioner-driven content is reflected in each committee’s unique make up. The program committee of leading software engineers and leaders meets for 30 weeks to individually select each speaker at QCon. The next QCon is well underway and takes place in London March 2-6, 2020. We will return to San Francisco November 16-20 2020.

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