[{"data":1,"prerenderedAt":721},["ShallowReactive",2],{"/en-us/blog/lessons-in-iteration-from-new-infrastructure-team/":3,"navigation-en-us":36,"banner-en-us":465,"footer-en-us":482,"Sean McGivern":692,"next-steps-en-us":706},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":26,"_id":29,"_type":30,"title":31,"_source":32,"_file":33,"_stem":34,"_extension":35},"/en-us/blog/lessons-in-iteration-from-new-infrastructure-team","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"Lessons in iteration from a new team in infrastructure","A new, small team at GitLab discovered that minimum viable change applies to scaling problems too.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749681724/Blog/Hero%20Images/skateboard-iteration.jpg","https://about.gitlab.com/blog/lessons-in-iteration-from-new-infrastructure-team","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"Lessons in iteration from a new team in infrastructure\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Sean McGivern\"}],\n        \"datePublished\": \"2020-11-09\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Sean McGivern","2020-11-09","\n\nThe [Scalability Team][scalability] has the goal of understanding\npotential scaling bottlenecks in our application. We formed a year ago\nwith one person, and as of early 2020, we are made up of three backend\nengineers, plus one site reliability engineer. We are a\nsort of [program team] so we have a wide remit, and there's only one\nsimilar team at GitLab: our sibling [Delivery Team][delivery]. All of\nthe backend engineers in the team (including me) came from\nworking on product development rather than infrastructure work.\n\n[scalability]: /handbook/engineering/infrastructure/team/scalability/\n[program team]: https://lethain.com/programs-owning-the-unownable/\n[delivery]: /handbook/engineering/infrastructure/team/delivery/\n\nWe recently finished a project where we [investigated our use of\nSidekiq][sidekiq] and made various improvements. We decided to continue\nthe same approach of looking at services, and got started with our next\ntarget of Redis. Here are some lessons we took away:\n\n[sidekiq]:/blog/scaling-our-use-of-sidekiq/\n\n## 1. Don't lose sight of what matters most: impact\n\nWe chose to split our work on Redis into three phases:\n\n1. [Visibility][v]: increase visibility into the service.\n2. [Triage][t]: use our increased visibility to look for problems and\n   potential improvements, and triage those.\n3. [Knowledge sharing][ks]: share what we learned with the rest of the\n   Engineering department.\n\n[v]: https://gitlab.com/groups/gitlab-com/gl-infra/-/epics/309\n[t]: https://gitlab.com/groups/gitlab-com/gl-infra/-/epics/309\n[ks]: https://gitlab.com/groups/gitlab-com/gl-infra/-/epics/265\n\n[Iteration] is crucial at GitLab, so much so that we have regular\n[Iteration Office Hours]. On the surface, you could say that we were\niterating here: our issues were small and well-scoped and we were\ndelivering code to production regularly.\n\n[Iteration]: https://handbook.gitlab.com/handbook/values/#iteration\n[Iteration Office Hours]: /handbook/ceo/#iteration-office-hours\n\nThe problem, as it turned out, was that we were focused so heavily on\nunderstanding the service, that we lost track of the [results] we were\ntrying to deliver. Our [values hierarchy] puts results at the top, but\nwe hadn't given the results enough attention. We are a small team that\nneeds to cover a wide area, and we need to deliver _impactful_ changes.\n\n[results]: https://handbook.gitlab.com/handbook/values/#results\n[values hierarchy]: https://handbook.gitlab.com/handbook/values/#hierarchy\n\nThere are some [examples in our handbook][impact] – which we've added as\na result of this project – but we define impact as either having a\ndirect effect on the platform, our infrastructure, or our development\nteams. That was what was missing here, because the impact was loaded\ntowards the very end of the project: largely in the knowledge sharing\nsection.\n\n[impact]: /handbook/engineering/infrastructure/team/scalability/#impact\n\nWe spent a long time (several months) improving our visibility, which\ndefinitely has a positive impact on our SREs who spend time\ninvestigating incidents. But we could have delivered this value and more\nin a shorter time period, if we had kept clear sights on the impact we\nwanted to have.\n\n## 2. Minimum viable change applies to scaling problems too\n\nWith that framing in mind, it's quite clear that we weren't iterating in\nthe best way. To use a famous example, it's like we'd started building a\ncar by building the wheels, then the chassis, etc. That takes a long\ntime to get something useful. We could have started by [building a\nskateboard]. We didn't have a good sense of what a [minimum viable change](https://handbook.gitlab.com/handbook/values/#minimal-viable-change-mvc)\nwas for our team, so we got it wrong.\n\n[building a skateboard]: https://blog.crisp.se/2016/01/25/henrikkniberg/making-sense-of-mvp\n\n![Building a skateboard iteration](https://about.gitlab.com/images/blogimages/scalability-redis-efficiency-skateboard.png){: .medium.center}\nIllustration by [Henrik Kniberg](https://blog.crisp.se/2016/01/25/henrikkniberg/making-sense-of-mvp)\n{: .note.text-right}\n\nWhat would a minimum viable change look like? When we worked on this project, we\ncovered several topics: adding Redis calls to our standard structured\nlogs, exposing slow log information, and so on. With hindsight, the best\nway would probably be to slice the project differently. We could take\nthe three steps above (visibility, triage, knowledge sharing), but\nconsider them all to be necessary for a project on a single topic with a\ntangible goal.\n\nWe did this, with all the impact at the end:\n\n![Working through the first step for all topics, the second step for all topics, and finally having impact in the third step](https://about.gitlab.com/images/blogimages/scalability-redis-efficiency-before.jpg)\n\nBut traveling in the other direction would have been much more\neffective:\n\n![Working through all steps for the first topic, having impact, then starting again at the second topic](https://about.gitlab.com/images/blogimages/scalability-redis-efficiency-after.jpg)\n\nThis leads to a state where:\n\n1. The impact we make is clearer.\n2. We start making an impact sooner.\n3. We can re-assess after every project, and stop early once we have\n   done enough.\n\nThe sooner we have this impact, the sooner we can see the results of\nwhat we've done. It's also good for morale to see these results on a\nregular basis!\n\n## 3. Shape your projects to deliver impact throughout\n\nThe way that we originally structured our work to improve Redis usage made it harder to see\nour impact than it should have been. For example, we [updated our\ndevelopment documentation][dev-docs-update] at the end of the project.\nThis was useful, but it would have been much more useful to backend\nengineers if we'd updated the documentation along the way, so they always had the best information we could give them.\n\n[dev-docs-update]: https://gitlab.com/gitlab-org/gitlab/-/merge_requests/41889\n\nFor a more positive example: in the visibility stage, we created\na couple of issues directly for stage groups to address, rather than\nwaiting for the triage or knowledge sharing stage to do so. One of those\nissues was about [large cache entries for merge request\ndiscussions][mr-cache]. By getting this in front of the relevant\ndevelopment team earlier, we were able to\nget the fix scheduled and completed sooner as well.\n\n[mr-cache]: https://gitlab.com/gitlab-org/gitlab/-/issues/225600\n\nRegularly delivering projects with clear impact means that we get\nfeedback earlier (from engineers in Development and Infrastructure, or\nfrom the infrastructure itself), we can cover a wider area in less time,\nand we are happier about the work we're doing.\n\nAs people who went from working directly on user-facing features to\nworking on a property of the system as a whole, we learned that we can\nstill set ourselves an MVC to keep us on the right path, as long as we\nthink carefully about the results we want to achieve.\n\n[Cover image](https://unsplash.com/@viniciusamano?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) by shawn henry on [Unsplash](https://unsplash.com/s/photos/skateboard?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)\n{: 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