Lessons about Performance (page 3)
The links, tools and tips our engineers and designers share with each other, one “today I learned” at a time.
- lessons shared
- 89
- people sharing
- 17
- database started in
- 2017
Tech Insights· stackoverflow.com
Preloading fonts in Chrome with 'preload' link directive:
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Read on stackoverflow.com- Chrome
- HTML
- Performance
- Preload
textslashplain.com
Leaky Abstractions - When Copy-Paste-Delete is faster than Cut
In the late 1990s, the Windows Shell and Internet Explorer teams introduced a bunch of brilliant and intricate designs that allowed extension of the shell and the browser to handle scenarios beyond…
Carlos Coelho
Tech Insights· textslashplain.com
Leaky Abstractions - When Copy-Paste-Delete is faster than Cut
From textslashplain.com
In the late 1990s, the Windows Shell and Internet Explorer teams introduced a bunch of brilliant and intricate designs that allowed extension of the shell and the browser to handle scenarios beyond…
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Read on textslashplain.com- Abstractions
- Performance
Tech Insights· brendangregg.com
"You have two hands. Observability and experimentation: It stuck with me as it also makes the point that when you're only using one type to solve a performance problem you're working one-handed."
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Read on brendangregg.com- Observability
- Performance
news.ycombinator.com
btilly on HN: "Whatever scale you hit on a single machine, you can probably gain 1-2 orders of magnitude of performance by sw...
btilly on HN: "Whatever scale you hit on a single machine, you can probably gain 1-2 orders of magnitude of performance by switching to a faster language and carefully optimizing. If you switch to distributed, you'll LOSE at least an order of magnitude performance due to the overhead of RPCs, but are able to scale indefinitely afterwards."
Flavio Juvenal
Tech Insights· news.ycombinator.com
btilly on HN: "Whatever scale you hit on a single machine, you can probably gain 1-2 orders of magnitude of performance by sw...
btilly on HN: "Whatever scale you hit on a single machine, you can probably gain 1-2 orders of magnitude of performance by switching to a faster language and carefully optimizing. If you switch to distributed, you'll LOSE at least an order of magnitude performance due to the overhead of RPCs, but are able to scale indefinitely afterwards."
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Read on news.ycombinator.com- Distributed
- Performance
- Scaling
gitlab.com
postgres-checkup – automated PostgreSQL health checks:
⚠️ ARCHIVED: This project is no longer maintained. See successor: npx postgresai checkup
Flavio Juvenal
Tech Insights· gitlab.com
postgres-checkup – automated PostgreSQL health checks:
From gitlab.com
⚠️ ARCHIVED: This project is no longer maintained. See successor: npx postgresai checkup
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Read on gitlab.com- DB
- Performance
- PostgreSQL
Tech Insights· serverfault.com
Adding CloudFlare to S3 bucket:
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Read on serverfault.com- AWS
- Cdn
- Cloudflare
- Performance
- S3
newrelic.com
Secrets of a NRQL Wizard: New Relic Query Language
New Relic’s Kevin Scaldeferri shares insider tips and tricks on how to use New Relic Query Language (NRQL) to understand and use your application data in powerful new ways.
Flavio Juvenal
Tech Insights· newrelic.com
Secrets of a NRQL Wizard: New Relic Query Language
From newrelic.com
New Relic’s Kevin Scaldeferri shares insider tips and tricks on how to use New Relic Query Language (NRQL) to understand and use your application data in powerful new ways.
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Read on newrelic.com- Nrql
- Performance
foxhound.systems
Speeding up SQL queries by orders of magnitude using UNION:
SQL's UNION operation isn't usually regarded as a way to optimize query performance, but in many cases it can be used to achieve massive improvements in speed.
Flavio Juvenal
Tech Insights· foxhound.systems
Speeding up SQL queries by orders of magnitude using UNION:
From foxhound.systems
SQL's UNION operation isn't usually regarded as a way to optimize query performance, but in many cases it can be used to achieve massive improvements in speed.
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Read on foxhound.systems- DB
- Performance
- PostgreSQL
- SQL
github.com
Pyroscope: an open source continuous profiling platform
Continuous Profiling Platform. Debug performance issues down to a single line of code - grafana/pyroscope
João Lins
Tech Insights· github.com
Pyroscope: an open source continuous profiling platform
From github.com
Continuous Profiling Platform. Debug performance issues down to a single line of code - grafana/pyroscope
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Read on github.com- Debug
- Performance
- Profiling
- Python
github.com
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals - plasma-umass/scalene
Flavio Juvenal
Tech Insights· github.com
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
From github.com
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals - plasma-umass/scalene
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Read on github.com- Debug
- Performance
- Profiling
- Python
Tech Insights· stackoverflow.com
Log all queries of Postgres on docker-compose:
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Read on stackoverflow.com- DB
- Debug
- Performance
welcometothejungle.com
Great introduction to memory (RAM) issues:
One concept that can leave developers really scratching their heads is memory, and how programming languages interact with it.
Flavio Juvenal
Tech Insights· welcometothejungle.com
Great introduction to memory (RAM) issues:
From welcometothejungle.com
One concept that can leave developers really scratching their heads is memory, and how programming languages interact with it.
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Read on welcometothejungle.com- Debugging
- Memory
- Performance
- Ram
Tech Insights· stackoverflow.com
Understanding time.perf_counter() and time.process_time():
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Read on stackoverflow.com- Performance
- Profiling
- Python
- Link offline
build.affinity.co · offline
How we used Postgres extended statistics to achieve a 3000x speedup:
Flavio Juvenal
Link offlineTech Insights· build.affinity.co
How we used Postgres extended statistics to achieve a 3000x speedup:
Shared by
The original link on build.affinity.co is no longer available.
Look for it on the Wayback Machine- DB
- Performance
- PostgreSQL
- Statistics
thoughtbot.com
Reading a Postgres EXPLAIN ANALYZE Query Plan:
Take a guided tour through a query plan for a “simple” SQL query.
Flavio Juvenal
Tech Insights· thoughtbot.com
Reading a Postgres EXPLAIN ANALYZE Query Plan:
From thoughtbot.com
Take a guided tour through a query plan for a “simple” SQL query.
Shared by
Read on thoughtbot.com- DB
- Performance
- PostgreSQL
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