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The Flame Graph - ACM Queue
Flame graphs can be generated from the output of many different software profilers, including profiles for different resources and event types. Starting with CPU profiling, this article describes how flame graphs work, then looks at the real-world problem that led to their creation.
debugging  visualization  howto  documentation  analysis 
7 hours ago by danesparza
Soufflé • A Datalog Synthesis Tool for Static Analysis | Soufflé synthesizes a parallel C++ program from a declarative Datalog program
Soufflé Datalog Synthesis Generator Compiler Program Analysis Parallel C++ Logic EDB IDB Futamura Projection Abstract Interpretation
programming  language  datalog  static  analysis 
19 hours ago by rsbowman
Health Checks and Graceful Degradation in Distributed Systems
As often as not, discussions around the implementation of a health check pivot around the two options at either extremity of the spectrum — simple pings/signals or comprehensive end-to-end tests. In this post, I aim to underscore the problem behind using the aforementioned form of health-checks for certain types of load balancing decisions as well as need for a more fine-grained approach for measuring the health of a process.
distributed  kubernetes  monitoring  analysis  monitor 
yesterday by danesparza
How Does Make Money? • Aaron Parecki
So how can this company afford to connect all these calls for free? Turns out it's because they get kickbacks from rural carriers on the high carrier interconnect tariffs that the government allows them to charge.
business  analysis 
yesterday by danesparza
CEO pay: How the pay-for-performance model fails — Quartz at Work
In the 1970s, shareholders took out about 50% of a company’s profits, while the rest was reinvested in the productive capacity of the firm, including R&D to employee training and rewards. Today, the shareholder gets over 90% between dividends and share buybacks. Today, a 60% or greater weight on equity or equivalents is the norm in pay packages.
business  analysis 
yesterday by renaissancechambara
Why Wikipedia works • NY Mag
Brian Feldman:
<p>On YouTube, I might make one video about the Stoneman shooting, and you might make another with a totally opposite idea of truth; they’d then duke it out in “the marketplace of ideas” (the YouTube search results). On Wikipedia, there’s only one article about the Stoneman shooting, and it’s created by a group of people discussing and debating the best way to present information in a singular way, suggesting and sometimes voting on changes to a point where enough people are satisfied.

Importantly, that discussion is both entirely transparent, and at the same time “behind the scenes.” The “Talk” pages on which editorial decisions are made are prominently linked to on every entry. Anyone can read, access, and participate — but not many people do. This means both that the story of how an article came to be is made clear to a reader (unlike, say, algorithmic decisions made by Facebook), but also that there is less incentive for a given editor to call attention to themselves in the hopes of becoming a celebrity (unlike, say, the YouTube-star economy).

Wikipedia articles also have stringent requirements for what information can be included. The three main tenets are that (1) information on the site be presented in a neutral point of view, (2) be verified by an outside source, and (3) not be based on original research. Each of these can be quibbled with (what does “neutral” mean?), and plenty of questionable statements slip through — but, luckily, you probably know that they’re questionable because of the infamous “[citation needed]” superscript that peppers the website.

Actual misinformation, meanwhile, is dealt with directly. Consider how the editors treat conspiracy theories. “Fringe theories may be mentioned, but only with the weight accorded to them in the reliable sources being cited,” Wikimedia tweeted in an explanatory thread earlier this week. In contrast, platform companies have spent much of the last year talking about maintaining their role as a platform for “all viewpoints,” and through design and presentation, they flatten everything users post to carry the same weight. </p>

Succinct, and accurate. What if YouTube was forced to limit itself to a single, checked, accurate video per topic? Sure, it's like asking musicians to only write one song. Yet there's that suspicion that there's a better way to organise it even so.
advertising  analysis  youtube  google  wikipedia 
2 days ago by charlesarthur

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