Alessandro Vermeulen

It has been a very long time since I pos­ted a new art­icle. The reas­ons for this are quite com­mon­place. Start­ing a fam­ily and build­ing a ca­reer cap­tured both my in­terest and en­ergy, leav­ing little of either for shar­ing.

FinagleCon was held at TwitterHQ in San Fran­cisco. It is re­fresh­ing to see a nice work­ing at­mo­sphere with free food and drinks. Now for the con­tents.

Docker’s new tools an­nounced at DockerCon ad­dress pro­vi­sion­ing, clus­ter­ing, and ap­plic­a­tion or­ches­tra­tion.

The Ad­vanced Akka course is provided by Typesafe and is aimed at teach­ing ad­vanced us­ages of Akka. The course cov­ers the ba­sics of Akka, Re­mot­ing, Clus­ter­ing, Routers, CRDTs, Cluster Shard­ing and Akka Per­sist­ance. The fol­low­ing post starts with a gen­eral in­tro­duc­tion to Akka and presents the takeaways from the course as we ex­per­i­enced them.

Deep and shal­low em­bed­ding are terms as­so­ci­ated with Do­main Spe­cific Lan­guages (DSL). A DSL is a lan­guage geared to­ward a spe­cific do­main. The dot lan­guage is an ex­ample of such a DSL for de­scrib­ing Graphs. Con­cep­tu­ally, a shal­low em­bed­ding cap­tures the se­mantics of the data of the do­main in a data type and provides a fixed in­ter­pret­a­tion of the data, whereas a deep em­bed­ding goes bey­ond this and cap­tures the se­mantics of the op­er­a­tions on the do­main en­abling vari­able in­ter­pret­a­tions.