Best practices for building Kubernetes Operators Patryk WasielewskiAbout me ● DevOps Consultant at Amazon Web Services (AWS) ● 6 years professional experience as DevOps / SRE / Developer ● Cloud-native

to 7MM Developers Y/Y Developers Building with Gemini, MM AI Development Trending = Unprecedented Note: Per Google in 5/25, ‘Over 7 million developers are building with Gemini, five times more than non-users with little to no interest in adopting AI within the next 12 months. Source: OpenAI, ‘Building an AI-Ready Workforce: A Look at College Student ChatGPT Adoption in the US’ (2/25) AI User + Usage charge; they’re not just experimenting with agents, but deploying them, investing in frameworks and building ecosystems around autonomous execution. What was once a messaging interface is becoming an action

backlog during an initial planning session, identifying all features the team considers relevant to building the product. The program backlog serves as the primary source for all program requirements and development approach when customizing an existing system or commercial off-the-shelf (COTS) product, or building a small-scale or self-constrained application. In other words, Agile works well when the program the acquisition leadership, contracting, test, Certification and Accreditation (C&A), the user community, external systems, and cost and financial support.11 Figure 5: Potential Agile Team Construct

within the plan by itemizing potential risks, actively working to prevent them, and, if necessary, building slack into the plan to manage the potential impact of the risk on schedule.  Such an approach course of work.  Let’s say that we are deciding between two different open source products for building a piece of the system and do not know enough of their impacts to make the choice. In the old-school working support a community approach to IT, where IT leaders achieve their objectives by mobilizing the skills and passions of a broad community and encourage the members of that community to work together

we do. Complex Adaptive Systems: Fourth and last, that the business should be thought of as a community, or perhaps as a Complex Adaptive System, which needs to be led and managed through an inspect-and- pattern: a way to incrementally modernize a legacy system as defined by Martin Fowler.  Instead of building an entirely new system, we take a small piece of the legacy system and rebuild it in a way that working support a community approach to IT, where IT leaders achieve their objectives by mobilizing the skills and passions of a broad community and encourage the members of that community to work together

11/8/2019 Jared Roesch OctoML is a new company building DL deployment solutions using the Apache (incubating) TVM project. A goal is to nurture the TVM community and contribute new infrastructure and features octoML Coalesced t1: Tensor t2: Tensor t3: Tensor 13 Acknowledgments e The Apache(incubating) community members. e ASF Mentors and PMC members who make this awesome project Possiblel ee AWS for hosting first Bay Area meetup QQ octoML 14 Annual TVM Conference 2019 Organized and participated by community members Thursday, December 5th Seattle WA Register Todayl! QQ octoML tvmconf.org 15 Q OctoML

cases, wrong. The economics of software development have changed: Changed in a way that now favors “building” over “buying.” There are now ways of custom-developing systems that preserve many of the advantages working support a community approach to IT, where IT leaders achieve their objectives by mobilizing the skills and passions of a broad community and encourage the members of that community to work together

TestIt’s hard to survive in the jungle if you were trained in a zoo ● Build something impressive: ○ Community: e.g. Golang Warsaw ○ Technology: e.g. side project ● Excellent execution in high ambiguity ● Be is not talking to users! You should do that 50%+ of the time during the initial months. ■ Not building is fine. ● At least several months of savings: ○ If you are low, join an accelerator. ○ If high Q: Will investors help me? A: Yes, but just a little. Do not count on them finding clients or building products. You need to do that yourself.Q&A Time for questionsThank you! Star on github.com/QuesmaOrg/Quesma

. . . . . . . . . . . . . . . . . . . . . . . . . 373CONTENTS vi 29.7 System and Package Image Building . . . . . . . . . . . . . . . . . . . . . . . . . . 374 29.8 Debugging and profiling . . . . . Optimizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1576 101.13 System Image Building . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1577 101.14 Package Images . Julia with DTrace, and bpftrace . . . . . . . . . . . . . . . . . . . . . 1643 103 Building Julia 1650 103.1 Building Julia (Detailed) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1650

. . . . . . . . . . . . . . . . . . . . . . . . . 373CONTENTS vi 29.7 System and Package Image Building . . . . . . . . . . . . . . . . . . . . . . . . . . 374 29.8 Debugging and profiling . . . . . Optimizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1576 101.13 System Image Building . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1577 101.14 Package Images . Julia with DTrace, and bpftrace . . . . . . . . . . . . . . . . . . . . . 1643 103 Building Julia 1650 103.1 Building Julia (Detailed) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1650