We are looking for highly experienced OpenStack engineer with also good command on OpenContrail and integration with Neutron. The candidate can be given short term or long term contract depending on his skills and availability. Red Hat experience and certification will be BIG PLUS!
We need an Ubuntu OpenStack expert to architect and then set up two small private clouds. We have servers in two colocation data centers, seven servers in one and six in the other. For each install, we want high availability at the management server level, with good backups/snapshots scheduled of individual VMs. Because we will host the two data centers in an active-active setup (the monitoring/database replication/load-balancing/failover between the data centers is outside of the scope of this project), we do not need continuous availability of the individual VMs themselves. Performance is essential (i.e., don't suggest a synchronous DRBD solution across the data centers). VMs will run KVM and will be mostly Linux (can be either Ubuntu or Centos) and some Windows. Some of our existing VMs are QCOW2 format and need to be migrated to this new OpenStack cloud. If you select a storage platform such as Ceph, you will need to convert the QCOW2 to Raw format as part of the install (_after_ the main OpenStack is up an running). We are flexible about which storage solution will be used, provided it is both performant and resilient within each data center. We will provide access to the boxes via IPMI and OpenVPN and expect our partner to install and configure OpenStack with this access. The winning bidder will have previous experience installing OpenStack on Ubuntu and will confirm their background and expertise with OpenStack in their initial response. Once this project is complete, there are opportunities for continued work with us, particularly with monitoring and sysadmin of this OpenStack environment. Thank you.
we need freelancers with the below mandatory skills: * Object oriented Design * Multi thread programming * Debugging skills * Agile / CI-CD * Virtualization concepts with the below mentioned skills: Developer-1: *Python programing ( basic/advance/REST-API/Jira/Django/ - flask is okay) *Open stack ( Nova/Cinder/nuetran-not mandatory) Developer-2 : * Python (Basic) / C/C++ Developer-3 : * C/C++ / Core java
We are looking to build a customer-to-customer platform/website that will connect a client to a cook/chef for personal chef services. This involves the client accounts (Clients) and the service provider accounts (Cooks). Pages: Page 1: Homepage - search engine where the client will enter in details such as location, date, time, and other advanced criteria (optional) - the results from the search should have various filtering options (such as, filter by cuisine, cost, additional services available, rating, etc.) Page 2: How it works - simple diagram to show how the platform works Client side 1. Create a client account (this can be done later, at time of booking as well) 2. Enter your requirements in the search box 3. Available cooks will come up - go through each of their profiles/bios and select the one you want to book 4. Select additional services, no. of people, etc., to get the cost of booking 5. Finalise / send booking request 6. Once booking is accepted by Cook, funds get blocked from Client's credit card 7. Once job is completed, the Client is asked to rate the Cook. *If client wants customisation or wants to ask questions they can contact the cook via the inbox/inbuilt messaging system Cook side 1. Create a cook account (basic information, bank details for payment, portfolio, bio, certification/safety checks, locations willing to travel to via map, availability calendar, etc.) 2. Account is verified and active 3. Cook needs to update their availability calendar regularly 4. Once a job request comes, Cook can accept or reject or modify/request for modification 5. Cook is able to liaise with the client through the inbuilt messaging system/inbox 6. Cook can send a revised cost based on customisation 7. Once final booking is received, cook accepts the job 8. Cooks sends the list of ingredients to client (unless additional service is selected where cook brings the ingredients) 9. Job is delivered 10. Payment is released to bank account 11. Rating is received 12. Rating is given for the client Page 3: Register as a client - form to create a Client account - once account is created with log in details, Client's must have a 'my account' section with their profile, previous orders, payment details, etc. Page 4: Register as a cook - form to create a Cook account - once created with log in details, Cook's must have a 'my account' section with their profile, bookings, availability calendar, portfolio, bank account details for payments, etc. - someone can register as both client and cook in which case their 'my account' section will have both Page 5: Contact us - basic contact details and other information - FAQs - T&C and legalities Key points - availability calendar for cooks that can be updated regularly - maps showing suburbs that will allow cooks to indicate how far they are willing to travel - internal messaging system/inbox for communication between cook and client - payment via the website (security etc.) - rating system for cooks and clients. Ratings need to show up in the cook's bio and should be a filter option in the search (e.g. only show 4* + ratings) - ability to import data from .csv files such as clients, cooks, menus etc.. - ability to share the list of ingredients between the client and cook (list can be modified/edited by cook) - ability to add on features later such as a subscription model - ability to create an app in future Please provide a quote and timeline. Thank you
Please read the attached document. My target is to have it setup and running and fast. In case I need to setup local Iaas such as OpenStack, I would also need this included as part of the project. What other affordable reasonable solutions?
looking for and experienced linux guru cloud architect for a 3 to 6 month project. project includes the setting up of a cloud bases data-center using opensource software and best practice. PiXiE boot server(s) to set up a cluster of (40 to 100+) nodes using coreos OS, the use ansible, kubernetes as a deployment tool for itself (self hosted kubernetes) and for openstack as well, DOCKER, KUBERNETES as container orchestrator, and monitoring. but also doing it in organized documented intelligible steps so that when done (after a six month follow up period) we can take over. we have started installing the servers around 50 are towers (xeon 4 cores, 16 Gb ram) and we have around 50 other rackable server. see attached photos
Need someone who understands Openstack service (specially Ceilometer and Ironic Baremetal components) for monitoring and collecting data from the existing setup. It will be not that difficult for someone who understands Openstack well.
The purpose of this assignment is to demonstrate steps performed in a K-Means Cluster analysis. Use Excel to perform the following data analysis. Plot the data on a scatter plot. Determine the ideal number of clusters. Choose random center points (centroids) for each cluster. (Note: Each student will select a different random set of centroids.) Using a standard distance formula measure the distance from each data point to each center point. Assign each data point to an initial cluster region based on closeness. For each cluster calculate new center points. Repeat steps 4 through 6.