datamafia

#!/usr/bin/env python
# marc-w.com
# Built and tested on Django 1.5

class BulkInsertManager(models.Manager):
    
    def _bulk_insert_ignore(self, create_fields, values, print_sql=False):
        '''
        Bulk insert/ignore
        @param create_fields : list, required, fields for the insert field declaration

julz

package main

import (
	"fmt"
	"os"
	"os/exec"
	"syscall"
)

func main() {

jonathan-kosgei

I have been an aggressive Kubernetes evangelist over the last few years. It has been the hammer with which I have approached almost all my deployments, and the one tool I have mentioned (shoved down clients throats) in almost all my foremost communications with clients, and it was my go to choice when I was mocking my first startup (saharacluster.com).

A few weeks ago Docker 1.13 was released and I was tasked with replicating a client's Kubernetes deployment on Swarm, more specifically testing running compose on Swarm.

And it was a dream!

All our apps were already dockerised and all I had to do was make a few modificatons to an existing compose file that I had used for testing before prior said deployment on Kubernetes.

And, with the ease with which I was able to expose our endpoints, manage volumes, handle networking, deploy and tear down the setup. I in all honesty see no reason to not use Swarm. No mission-critical feature, or incredibly convenient really nice to have feature in Kubernetes that I'm go