MongoDB Job Cost Overview
Typical total cost of oDesk MongoDB projects based on completed and fixed-price jobs.
oDesk MongoDB Jobs Completed Quarterly
On average, 126 MongoDB projects are completed every quarter on oDesk.
Time to Complete oDesk MongoDB Jobs
Time needed to complete a MongoDB project on oDesk.
Average MongoDB Freelancer Feedback Score
MongoDB oDesk freelancers typically receive a client rating of 4.69.
I have been a software developer for nearly a decade and in that time I have had a wide range in experience. I have written an online benefits enrollment system for worksite benefits (e.g., health insurance, dental insurance, life insurance). I have also written a system for managing the battery inventory for warehouses. I have written a distributed computing system for a company specializing in automotive dealership analytics. Whatever you may need I believe that I have the experience and skills that you need.
About 6 years of work in growing international IT facility. Rich experience of setting up web tiers of servers under high load, including database fail-safe configurations, Apache, Nginx for web back- and front-ends, later applying modern products such as MongoDB, Redis and alike to serve growing purposes of growing audience. My main aim for part-time occupation is a setup of web-servers to serve small or relatively large visitors' rate. I can set them up to be fail-safe or to be equally functional and balanced. Backups, monitoring and notifications - I would do this too, with pleasure and experience.
Hello, I am an experienced programmer & system Administrator with expertise in high performance system infrastructure, customized deployment solutions, configuration management, monitoring, python , Django development, REST based backend systems and related infrastructure support. I am in process of becoming Official Amazon Provider Network Member - Consulting Partner [https://aws.amazon.com/partners/overview/consulting-partner/]. Highlights: 1. Created an infrastructure with over 4000 servers (physical as well as cloud servers aws, rackspace and go grid) distributed in 4 regions , implemented monitoring, ha, replication, configuration management. Recruited a team of 3 sys admin's , trained them and supported platform 24/7 with 3 engineers. 2. Have worked with several technologies and scaled it for high volume with massive cost savings. 3. Created a unified platform to interact with multiple public clouds. ( aws, go grid , rackspace with custom python based system) 4. Designed a geo-distributed, full tolerant with a SLA of 99.99999 deployment and deployed it using Amazon Cloud, Rackspace Cloud,gofrid cloud and on physical servers 5. Designed a scalable storage system using open source and commodity hardware. I have managed large (4000+) servers for my employers and clients, which include GE, Wipro, Lehman Brothers & Glam Media. I have managed IT security for GE and banking sectors (built a DC and developer shop for Lehman brothers in china). I now offer remote system management consultancy and training services. I have attached my linked in profile and references if you need them. I have designed, developed and maintained large scaling, load-balanced and redundant infrastructure for many clients. Most of the infrastructure I have designed are, • fully automated (saltstack/puppet and deployment via various code deployment tools integrated with git or subversion) • auto-scale (on demand scaling) • auto-heal and auto curate • fully load-balanced • in required cases geo-distributed • Monitored with custom performance plugins, logstash, nagios, check_mk, zenoss This infrastructure architecture and deployments were in different environments • Dedicated servers at various isps • Virtualized Environment (Xen, KVM, VMware and others) • Public cloud: Amazon, Rackspace, GoGrid, and others • Private Cloud:= openstack • Different Business Verticals, • Ecommerce • Social Application (www.ning.com ) • Big Data Analysis and Analytics • Media (audio and video) • Online Advertising • Banking, • BPO / KPO Web Servers (Apache, lighttpd, Nginx, Cherokee) Load Balancers (HAProxy, Nginx, Pound, LVS, balance, Varnish, Zeus Load Balancer) Ruby on Rails (Phusion Passenger, Unicorn) Python (mod_python, uWSGI, gunicorn) Java (Tomcat, Glassfish, Jetty, Jboss) Database/DataStores (Mysql + variants, Postgresql, Oracle, Mongodb, Memcached, Redis, Riak, Membase/CouchDB, nd others) Data Analysis (Hadoop, Bigdata) Distributed File System (Glusterfs, Coda, Ceph, pVFS, Lustre, ZFS, OneFS, XtreemFS) Search (Solr, Lucene, Nutch, ElasticSearch, Lily, Katta) Caching (varnish, memcache, flashcache) Monitoring (Nagios, Munin, Icinga, Ganglia, cacti, ntop, op5, Zabbix, pandoraFMS, OpsView and others) DNS (bind, tinydns,) Mail (postfix/sendmail/qmail/exim, Dovecot/Courier) Security (Snort, Splunk, Samhain, OSSEC, OSSIM, Suricata) Centralized logging (rsyslog+loganalyzer, splunk, zlogfabric, octopussy, Samhain, Graylog2, Kibana, Log.io, OpenTSDB, Flume, Scribe CMS (wordpress, joomla, mambo, typo3, etc and other custom developed CMS) and many other applications and services Most of these infrastructure architecture are for high volume traffic web application or for massive computing requirements. I can help you in following way. • python, django, golang web app development, REST back-end • code deployment, automation • Efficient monitoring system and notification configuration • OS updated and performance tuning of kernel to support database & applications. • Backup solution to take backup and transfer to offsite. • A configuration management ( saltstack / puppet/ cfengine) and load balancing solution. • • Source control using git, svn • On call support.