In case you haven’t notice, this blog has not gotten updates much this summer. Some people have even noticed the overall lack of activity on my GitHub. Emails have gone, several weeks unanswered.Continue reading
Here we are, its 2017 dotnet core is out, and finally dotnet has a proper cli. In a previous post we explored the new cli. In short you can use the dotnet cli to build, test, package, and publish projects. However sometimes just using the cli is not enough. Sometimes, you land in a place where you have many projects to compile, test, and package.
When Visual studio 2015 launched, I wrote a blog post titled Resharper without Resharper. This was clearly aimed at giving people the ability in 2015 to divorce themselves from the very expensive product. In writing the post however, I didn’t realize people would just want a low down on cool vs2015 extensions.Continue reading
Ok so I’ve been in the alexa skills market recently, and obviously amazon wants you to use AWS Lambda for your skills. If you are like me, you have a ton of stuff in azure app service (the PaaS of azure). Azure app service supports nodejs, java, python, and of course .net. The two sdk’s amazon ships (node, java) do not tie in with a web stack, and are obviously thought of as being used with Lambda.
Today marks the release of Visual Studio 2017, and with it the final release of the tools for dotnet core. This means as of today you can build, test, and deploy an application completely supported by microsoft. Not just the runtimes, but the tooling as well. The CLI for dotnet core has been finalized, and its awesome. The csproj system has been revitalized. New csproj’s can be created, and are fully compatible with the old. Visual studio 2017 has finally released. This is probably the greatest version of visual studio ever created. Finally VS has gone from a slow, archaic editor, to a fast moving IDE. An IDE with a DevOps-First Cloud-First mentality. An IDE ready to tackle today’s modern challenges.Continue reading
I’ve been starting to use docker, more and more recently. As this technology has grown many of my coworkers are getting more, and more interested in docker.
I put together some materials and a youtube video which may help some of you getting started with docker. If you don’t like watching videos, check out the
story.md file in the repo. That file has all the content covered. Honestly give me feedback if it helped or not. I might do more tutorials in the future for docker. Docker is such a new technology, and the surface area changes month to month.
tl;dr click here
When we talk about capturing metrics in applications. One server/service that constantly is in all conversations monitoring, is statsd. Incase you have never heard of it, statsd is a udp/tcp server that you send your in-code metrics to. These metrics get aggregated by statsd, and are forwarded to various backends. Some backends are services like librato or sumologic. Other times you are sending metrics to time series databases such as graphite or god forbid influxdb.
This boils down to in code you can say “log whenever this block of code is hit” or say “measure how long this function takes to execute”. These stories come together to form pretty graphs, and rich alerts. All of this enabled by statsd.
- OLDER POSTS
- page 1 of 8