InfoQ Homepage Risk Content on InfoQ
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Risk and Failure on the Path to Staff Engineer
Caleb Hyde discusses their career progression and regressions, as well the context they used to figure out what to work on and whom to work with, distilling a framework to utilize in one’s own work.
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Securing Java Applications in the Age of Log4Shell
Simon Maple looks at how one can be more proactive and defensive in decisions for future Log4Shell like scenarios, considering, identifying and reducing the risk introduced into applications.
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Making Npm Install Safe
Kate Sills discusses how to minimize the risks of running third-party JavaScript.
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Risk Profiling
Jaume Jornet talks about why eDreams ODIGEO does Risk Profiling for product teams, how to introduce Risk Profiling in the organizations, and how it helps to move the company to highest maturity levels
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Liquidity Modeling in Real Estate Using Survival Analysis
Xinlu Huang and David Lundgren discuss hazard and survival modeling, metrics, and data censoring, describing how Opendoor uses these models to estimate holding times for homes and mitigate risk.
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Build the Right Thing - De-risk Your Products with Experiments
Andrea Darabos discusses how to lower the startup risk with Minimum Viable Experiments which help product managers and investors build with more confidence and avoid costly mistakes.
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Is your profiler speaking the same language as you?
This talk covers the classic profiler features. What is a hotspot? What is the difference between sampling and instrumentation from the profiler perspective? What are the problems with those methods?
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Too Big to Fail: Running A/B Experiments When You're Betting the Bank
Andrea Burbank discusses the risks, benefits, and lessons from running a single huge experiment with hundreds of moving parts, and with long-term engagement as the metric of success.
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Python: Why Are the Big Dealers Making Big Bets?
The authors demonstrate the design and use of an environment for quantitative researchers building a market risk simulation first as a basic system and then adding a hypothetical systemic shock.
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Quantifying Risk for Innovative Teams
Sam McAfee focuses on quantitative risk modeling approaches exploring how to bring scientific rigor back into the Lean Startup process with Monte Carlo simulations and Cost of Delay scenarios.
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Let It Go: Building a Global Social Enterprise by Empowering Your Employees
Rupert Scofield explains how to build, motivate, and manage a team that both embraces the mission and delivers financial results, how to mitigate risk, and how to solve interpersonal conflicts.
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Big Data in Capital Markets
The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.
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