Authorization and Authentication are hard. when you only have to implement them once (as you do within a monolith) instead of over and over again, it makes the developer happy :-), and maybe leads to less implementation failures.
When you have a bunch of microservices, this is something that has to be considered.
Implement it once or in every microservice, or something in between?
This table was created in 2015 so may be quite outdated today.
Feature | Meteor Solution | Alternative Solutions | Description |
---|---|---|---|
Live DB Sync | [livequery][lq] ([mongo-oplog]), [ddp] | RethinkDB, Redis, ShareDB, [npm:mongo-oplog], [firebase], etc. | Push DB updates to client/server. |
Latency Compensation, Optimistic UI | [minimongo][mm] | [RethinkDB][lcr], [mWater/minimongo] (fork, not ws but http, browserify) | Imitate successful db query on client before it is done. |
Isomorphic Code | [isobuild] & isopacks | browserify | Write one code for server/client/mobile. |
Isomorphic Packaging | [isobuild], atmosphere | No more separate packages for server & client. Get bower + npm + mobile. |
Data directories are created in /home/coreos
and mounted into the container using volume cli options of docker run. All data the container writes is stored on the host and as long as the host persists safe against container restarts / recreates.
- Pro
- No effort, just create the directories and mount them into the container
- Contra
- Container is bound to host (unable to failover)
Aug 5, 2013 11:36:00 AM com.kenai.jffi.NativeMethods$ResourceHolder finalize | |
WARNING: Exception when freeing native method struct array: %s | |
# | |
# A fatal error has been detected by the Java Runtime Environment: | |
# | |
# SIGSEGV (0xb) at pc=0x00007f0cd4636ee0, pid=20461, tid=139693247178496 | |
# | |
# JRE version: 6.0_27-b27 | |
# Java VM: OpenJDK 64-Bit Server VM (20.0-b12 mixed mode linux-amd64 compressed oops) | |
# Derivative: IcedTea6 1.12.3 |
I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.
I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real