Just came across a nice dev tool to build and deploy Docker’ized applications. A developer may want to independently build/deploy to a local docker container or another Kubernetes cluster vs. waiting for a remote CI/CD process to deploy to a dev environment. This involves some repetitive tasks such as building the binary, packaging into a Docker container, pushing to a Docker registry and all the way to deploying to a running container. If you run this often it can be a time suck for developers. forge.sh takes away those repetitive steps and lets you build/deploy locally or to another cluster.
Have you worked in a high performance engineering (HiPeE) team, how do you know you are in one and why is it so hard to replicate that? Are there factors that make it possible for HiPeE teams to grow and sustain. This was a topic of discussion at a recent chat with a few folks. I speak from my own experiences having seen HiPeE teams and was lucky enough to be part of it couple of times. It came down to a few dimensions for me.
Attended my first AWS re:invent conference. It was definitely a great experience. While the breakout sessions where okay, what I most enjoyed is the energy with 30k AWS enthusiasts in the building. And the re:play party was awesome – especially the performance by Martin Garrix.
Spring Boot and Spring Cloud are relatively newer additions to the Spring portfolio. Boot makes it faster to spin up your project with less configuration (and an opinionated programming model). Spring Cloud brings in techniques and tools to efficiently standup distributed applications. In a previous blog I had noted my ramblings on API/Microservices style. If you take that path and have more than a handful of API’s then you will need some of the capabilities of what Spring Boot and Spring Cloud offer.
Experimenting with Ganglia to monitor my nodes. More detailed steps to come.
Highly experienced & passionate technologists have a challenging task in terms of figuring out their career strategies. For some this process of self discovery and adjustment works itself out quick, but for others its a harder journey. A passionate technologist often feels the need to be exposed to new cutting edge technologies and at the same time expects appropriate career growth and recognition.
If you have used ElasticSearch (ES) you will be familiar with the two ways you can access the index – the RESTful HTTP API’s and the Java API which uses a binary protocol. What is missing is a pure RESTful HTTP Java Client API. Open source Jest library attempts to fill that gap. Updated July 2016 to use ElasticSearch 2.3.4 and Jest 2.0.0.
Experiments with Mongodb, Nodejs, Express and Mongoose.
Notes from attending today’s (6/26/2012) MongoDB conference – MongoDC.
Updated the Spring Batch series of blogs with Spring Framework 3.1.0.RELEASE and Spring Batch 2.1.8.RELEASE. Also switched to using HSQLDB to simplify the requirements to run this example (vs. the previous dependency on MySQL).
- Spring Batch – Part I – Simple Tasklet – Read from a comma separated file and insert 200k rows into a HSQLDB database.
- Spring Batch – Part II – Flat File To Database – Read from a comma separated file and insert 200k rows into a HSQLDB database.
- Spring Batch – Part III – From Database to Flat File – Read back the 200K rows and now write it out to a new file.