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sematext.com | ||
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www.pingdom.com
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| | | | | With consumers expecting web sites to load faster and faster while web applications get more complex, it is getting harder to be knowledgeable about every component of your web application. Web performance requires knowledge on subjects like application troubleshooting, firewalls and security, network troubleshooting, database performance, and on concepts like DevOps and cloud. Those are [] | |
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logz.io
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| | | | | Go beyond traditional APM by combining Metrics & Distributed Tracing using Logz.io. Quickly turn application performance data into actionable insights. | |
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raygun.com
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| | | | | Replicate errors, exceptions, bugs and crashes with ease. Raygun automatically captures detailed diagnostics for each and every error occurrence. | |
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saeedesmaili.com
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| | | I came across this Linkedin post from a Google engineer, on a new (in preview) and very interesting BigQuery syntax: GROUP BY ALL. This will save time when writing and specially modifying complex SQL queries on BigQuery. The GROUP BY ALL clause groups rows by inferring grouping keys from the SELECT items. It will exclude expressions with aggregate and window functions, constants, and query parameters for a smart GROUP BY. So instead of GROUP BY name, city, device, browser, date or GROUP BY 1, 2, 3, 4, 5 you would use GROUP BY ALL. | ||
