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It's tempting to think about software performance in vacuum, disconnected from any inputs and outputs, abstracted down to optimizing latency or throughput.
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In these times of interdependency and extreme specialization it does not come as a surprise that open source projects depend on each other in many ways.
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PostgreSQL community conferences, as many other industry driven events, usually do not have proceedings or anything similar.
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Everyone knows benchmarking is hard (and writing about benchmarking is double as hard), but have you ever asked 'why'?
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My own personal white spot regarding BPF subsystem in Linux kernel was always programs performance and an overall introspection.
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What is a quantile?
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Recently landed in PostgreSQL, jsonb subscripting support doesn't look as exciting as some other improvements around jsonb.
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What is your first association with the concept of B-tree?
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Do not be afraid, this short blog post is about databases and does not contain any unreasonable metaphysical references.
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It's not a secret that databases are damn complicated systems.
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As such, there’s really no “standard” benchmark that will inform you about the best technology to use for your application.
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“How to start” is always a difficult question, and jsonb isn’t an exception.
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As such, there’s really no “standard” benchmark that will inform you about the best technology to use for your application.
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I really don’t know how I lived before without pandoc.
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Finally, I decided to replace my old laptop, and my chose fell on the Lenovo u430p.
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This is a small notice about a very useful trick.
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I’m doing a small revolution in my environment from time to time.
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I’m at the beginning of my journey into the world of gnuchess.
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A little bit about my new program-frankenstein.
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Don’t be confused by the title of this post - I will tell you about my experience in the development of xmpp client xi.
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There are a some cases, when we prefer to use a PostgreSQL schemas for our purposes.
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Write programs that do one thing and do it well.
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Some time ago I was faced with the need to implement the sharding in Django 1.6 .