The Web Team in Numbers

Sometimes it’s fun to take a break and look back at what’s happened in the past and do a little reflection. Or maybe we just think numbers are fun – there’s probably a reason why we like computers! So today we have sat down and looked at the recent past to try to find some interesting numbers. Everyone knows there’s strength in numbers, so here we go!

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Forecasted alerts with Grafana and InfluxDB

There’s a saying that goes “an ounce of prevention is worth a pound of cure”. As a software developer, I definitely prefer being able to anticipate and prevent problems rather than stressfully fixing broken systems. Frequently when something in a computer goes haywire, it’s because it ran out of something important, like database connections, disk space, inodes, file descriptors or kernel magicians. Of these resources, the ones that are easy to monitor usually have some sort of threshold-alerts in order to get ahead of the problems.

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Is it okay to…? Yes! It’s okay to…

We really like an idea that the team at Government Digital Service (GDS) wrote about last year in a blogpost: It’s ok to say what’s ok. 🙌

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Making helpful user interfaces for scripts

There is a lot of value in automation and providing software developers with scripts that can perform common tasks. To get good adoption and awareness of a suite of scripts, it is very important to provide a nice user experience.

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Can we open source this?

Can a design system for the Norwegian postal service be open source? Can the GitHub repo be public? YES! We think that would be awesome.

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Connection Pooling with c3p0

We at Bring have been using c3p0 in several of our applications, over the past years. Recently we faced an issue where we started to see lots of CannotGetJdbcConnectionException errors. The underlying database is MySQL for reference.

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b-scripts

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Alerting in grafana

As mentioned in our previous blog, We at bring, use influx and grafana extensively, as one of the monitoring tools to collect statistics and visualize different aspects of applications performance.

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Measuring jvm stats

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Checking out checkpoints

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