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Beyond the standard monitoring

In most cases, monitoring is often viewed as pretty dumb alarm system – built to notify if something goes wrong. However, there could be cases when monitoring software can be used not so straightforward, or apply non-obvious settings or means to handle the task. Some of them are listed below. If you can think of any other case, please let us know in the comments form in the bottom.

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Stop using NPS to measure software quality

Using NPS as an engineering metric gets product owners into hot water. A good NPS score is seen in software communities as the benchmark for a product-first company and regularly features on executive and IPO reports. It's so common that over two-thirds of the Fortune 1000 claim to use it. But imagine if every software tool you used sent you regular NPS surveys? Response rates will suffer and the metric will slowly become less and less valuable over time.

Build faster, error-free Universal Windows Platform (UWP) apps with Raygun

With 900 billion devices running on Windows 10, the future is bright for the Universal Windows Platform (UWP). UWP’s strength lies in its ability to adapt itself completely to the native user interface - whether that’s a computer, tablet, Xbox or IoT device. It’s a win-win; users get a consistent experience as they consume across devices, while developers get easier deployments.

Drive continuous improvement with shareable postmortems in Opsgenie

It’s a given that customers expect software and IT services to be high-performing and always on. And, because incidents and downtime will always be a thing, we believe that how you respond can make or break the customer experience. We’ve learned this lesson first hand while refining our own incident management process over the last decade.

Lifting the Index Size Limit of Prometheus with Postings Compression

Prometheus’s TSDB (TimeSeries DataBase) stores the recent data in the memory and the old data on persistent storage in the form of blocks. Each block has its own index to map the series to the actual chunks that contain the data samples. During Google Summer of Code 2019, I mentored Alec Wang throughout this work on lifting the size limitations of the index mentioned above. The work described below is up for review and should be merged soon.

Run your tests in parallel with Codefresh and Knapsack Pro

One of the most well-known problems when it comes to testing applications is the amount of time required by all test suites. Integration tests, in particular, are usually very slow to execute and depending on the type of application, several minutes (or even hours in extreme cases) are needed in order to get the final execution result. You can reduce the test execution time with several techniques, but one of the most effective methods is running your tests in parallel.

It Came From Below

I’m going to assume most people who read this blog are familiar with PagerDuty. But just in case anyone isn’t, PagerDuty is a tool we use in IT to notify us if some predefined check has failed. Maybe a key process has died or maybe we’re not seeing our expected traffic volume or maybe our server has stopped responding to ping. Whatever it is, PagerDuty will relentlessly, remorselessly, and loudly notify whoever is on call that something needs attention.