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Adrienne Braganza Tacke

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👍 Looks GREAT To Me: Getting Past Bare Minimum Code ReviewsDevOpsDays London 20242024-09-26
Explains concrete fixes: reviewers leave ego behind, focus on code, run 25–45 minute focus bursts and refuse giant PRs; write objective, pinpointed comments…
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👍 Looks GREAT To Me: Getting Past Bare Minimum Code ReviewsCPH DevFest 20242024-08-26
Actionable checklist: require local linting/formatting and CI tests during development, split large changes into under 500 lines and ideally <20 files…
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Getting Past Bare Minimum Code Reviewsbeyond tellerrand Düsseldorf 20242024-05-13
Actionable claims and concrete rules: code reviews work best in 25–45 minute focus bursts, PRs aim for under 500 lines and usually fewer than 20 files…
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Looks GREAT To Me: Getting Past Bare Minimum Code ReviewsVoxxed Days Thessaloniki 20232023-11-24
The talk argues concrete fixes: automate linting, formatting, static analysis and unit tests so reviews skip nitpicks; keep PRs small (aim for under 500 lines…
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Looks GREAT To Me: Getting Past Bare Minimum Code ReviewsInfobip Shift 20232023-09-18
Argues that “LGTM” often masks rushed reviews and gives concrete fixes: reviewers must use 25–45 minute review bursts, write objective comments with the Triple…
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Variables of the Veracious Variety: How to Better Name your VariablesCopenhagen Developers Festival 20232023-08-28
Explains a practical naming method: the three C’s — consistent, concise, correct — and concrete patterns like boolean names that read as questions…
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One Serverless Principle to Rule Them All: IdempotencyNDC London 20232023-01-23
Idempotency is presented as the single serverless principle that makes safe retries possible: generate an idempotency key, check a DynamoDB persistence store…
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One Serverless Principle to Rule Them All: IdempotencyMoar Serverless 20222022-08-11
Central claim: idempotency is the essential serverless principle because retries and failures will otherwise produce harmful duplicates. Concrete solution…
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Documentation: The Missing PiecesJSConf Budapest 20222022-06-02
Shows exactly what to change in docs: spell out acronyms, write fully explicit step-by-step commands and replacements, and use explicit variable names in code…
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The Developer's Guide to Data Modelling with Document DatabasesNDC Porto 20222022-04-25
A three‑phase method: gather real queries, sizes and peak traffic; map entities and relationships and decide link vs embed per access patterns; then apply…
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Multi Cloud Magic: Leveraging Multi Cloud Clusters in Real World ScenariosBuild Stuff 20212021-11-17
Shows concrete use of MongoDB Atlas multi-cloud cluster to keep data in-country (Canada, Australia) and to attach GCP for AutoML analytics while production…
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You Can Do it, Put your Backend to it!Infobip Shift 20212021-09-07
A React task‑tracker connects to MongoDB Realm and an Atlas cluster; email/password login is toggled on, deployed from a draft, and validates credentials…
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Multi-Cloud Magic: Leveraging Multi-Cloud Clusters in Real-World ScenariosWomen Data Summit 20212021-06-26
Demonstrates a working MongoDB Atlas multi-cloud cluster that runs nodes on AWS, GCP and Azure and uses a 2‑2‑1 node distribution (five electable nodes) to…
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Documentation: The Missing PiecesBerlin Buzzwords 20212021-06-15
Most documentation fails because it assumes knowledge and skips exact steps; fix it by spelling out acronyms, replacing foo/bar with descriptive names, and…
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Leveraging Multi-Cloud Clusters in Real-WorldConf42 Cloud Native 20212021-04-29
Multi-cloud clusters are presented as an actual, working solution for data problems: an emergency‑services app uses AWS Montreal plus GCP failover and Azure…
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Leveraging Multi-Cloud Clusters in Real-World ScenariosGOTOpia Chicago 20212021-04-20
Explains running a MongoDB Atlas multi‑cloud cluster across AWS, GCP and Azure to solve concrete problems: meet Canadian and Australian data residency rules by…
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Multi-Cloud Magic: Leveraging Multi-Cloud Clusters in Real-World ScenariosGlobal Azure Austria 20212021-04-16
Shows concrete failures (June 2019 Google outage, Oct 2019 AWS cooling bug) and real numbers (Teams 44M daily users, 900M meeting minutes) to motivate…
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Say YES! to NoSQL: A Guide on When to Ditch Relational DatabasesAzConf 20202020-11-24
Practical checklist: if data shows high data volume, high data velocity, large variety or strong valence, favor NoSQL; choose by guarantees next: prefer…
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Say YES! to NoSQL: A Guide on When to Ditch Relational DatabasesNDC Sydney 20202020-08-31
Three-step decision framework: first evaluate the data by four characteristics — volume velocity variety valence — and prefer NoSQL when those are high; next…
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Say YES! to NoSQL: A Guide on When to Ditch Relational DatabasesNDC Sydney 20202020-08-31
NoSQL is framed as a decision process: first measure your data’s volume velocity variety valence (large volume, high write rate, diverse formats, or dense…
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Delightful Durable Function PatternsNDC London 20202020-01-27
Azure Durable Functions are shown as a code-first way to build stateful serverless workflows using client, orchestrator, activity and entity functions with…
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Delicious JavaScript: Delectable Explanations of the Power of JSRVA JavaScript Conf 20192019-11-15
Explains exactly how filter, map, and reduce operate on arrays with runnable examples: filters a food array to only cookies, maps a marshmallow array to…
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Conducting Humane Code ReviewsWebCamp Zagreb 20192019-10-11
Outlines four concrete review goals—catch design flaws, ensure clarity, validate necessity, confirm functionality—and names three recurring failure modes…
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Delicious Javascript: Delectable Explanations Of The Power Of JSNEJS Conf 20192019-08-09
Explains how to use array methods with concrete examples: filtering cookies to select items, map to convert marshmallows to jumbo marshmallows (uppercasing)…
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