~/conference

SREday San Francisco 2024 Q2

date:2024-06-22
location:San Francisco, United States
series:SREday San Francisco Q2 · 2 editions
editions:[SREday San Francisco 2024 Q2, SREday San Francisco 2025 Q2]

Conference on Site Reliability Engineering, Cloud and DevOps. Probably the most awesome SRE conference in San Francisco, USA!

titleauthorlength
Increasing the collaboration between SREs and DevelopersUma Mukkara26m
Most orgs (80–90%) run incidents by best guess; recommendation is to make dev participation mandatory, automate SLO/SLO checks before deploy, and run chaos…
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Achieving DORA outcomes by building reliabilitySteve McGhee30m
Argues that high reliability comes from software and platform design not magic infrastructure, recommends measuring the four DORA metrics (use Four Keys for…
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What if Cardinality was free?Ruchir Jha20m
Observability vendors charging by time series drives metrics and tag pruning; the proposal makes cardinality free so every metric keeps full dimensions. A…
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AIOps, are we there yet?Thais Melo24m
Claims that simple statistics plus cohort-based baselines and clustering of multiple metrics catch variance and precursors to outages at scale, requiring…
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The RunWhen Authors Community: Royalties For RunbooksKyle Forster31m
RunWhen builds a massive library of templated steps for troubleshooting, starting with the Kubernetes ecosystem and top Helm charts, and claims to inherit…
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Running Unikernels in Prod for a Few YearsIan Eyberg25m
NanovVMS runs unikernels in production for 3–4 years using a custom kernel called Nanos and tooling that packs ELF binaries into 20 MB image raw disk images…
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TDD: Are you sure about that?Sebastian Kurzynowski31m
Claims that writing tests first forces clearer requirements, reduces debugging and enables safe refactors: a link feature in a fintech project takes three days…
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Rock around the clock (synchronizationLerna Ekmekcioglu28m
Claim: deploying high precision clocks (Clockwork's software implementation of Stanford HPTS ideas) and hardware like PTP-capable NICs lets systems measure…
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How Workload Rightsizing Increases AvailabilityErwin Daria30m
Storm Forge deploys Optimize Live to train a per-container ML model on metrics (CPU, memory, requests, limits) with a 28‑day lookback, auto-generating k8s…
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The Journey of Reliability: Why bother at all?Piyush Verma26m
Claims a practical observability maturity model tied to concrete stages and tooling rather than buzzwords, with a proven build of a time‑series data warehouse…
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