Select your font size 
 
about us products & services consulting & support news & events contact us
Availability is easier to manage than uptime, because uptime has to do with one computer, which might fail, whereas availability has to do with the service, which might be spread across many computers, networks, and power grids.

High Availability vs. High Uptime - Ohio

print this article 
 

Achieving high uptime is a very noble goal. To that purpose, Transparen tends to purchase high-end server hardware that allows us to do things like insert new hot-plug ServeRaid cards and initialize new  SCSI disk enclosures without shutting down the servers or re-initializing the operating systems. In addition, it is why Transparen cares about ensuring a consistent Internet connection, and high-availability hydro-electric power for its servers. But despite all of these things, if uptime is the only factor managed, it is difficult to maintain more than 99% uptime under normal circumstances, and when failures occur, they can take a long time to resolve (sometimes days, not just hours or minutes).

Factors Resulting in High Uptime

Naturally, we believe in following industry best practices where it comes to maintaining high uptime, which include:

  • Using good hardware
  • Ensuring that electric power is highly available
  • Using Uninterruptible Power Supplies (UPS) to prevent short power interruptions from limiting uptime
  • Having redundant parts in the servers, including extra hard drives (RAID configurations), extra network cards, extra power supplies, etc.
  • Practising a conservative approach to software changes - making high-risk changes only when absolutely necessary, while taking regular actions to ensure that stability improvements are implemented promptly.

Despite Best Practices, Good Hardware, and Ideal Environment, Server Uptime is Limited By Single Points of Failure

Despite all these practices, a solitary machine, even with redundant parts, may still fail, because not all of its parts are redundant, and there are still things that can happen that will limit uptime. For instance:

  • More often than one might realize, a localized power outage may occur - one which may not affect a whole building, but which may affect the server. The most common example is a power breaker may flip, or a power cord may be unplugged.
  • A network connection may be severed. This could happen in many ways - the simplest is that the ethernet cable can become unreliable and wiggle slightly free, either on the router or the server. But there could be other ways, including router failures, fried ethernet cards, internet provider problems, etc.
  • The RAID array may collapse. Even though RAID provides hard drive redundancy, there are still parts of the RAID array that can fail and take the whole thing down. These include:
    • The RAID card (or SCSI/SATA/IDE card, if implementing a software RAID)
    • The backplane (i.e. what all the drives plug into)
    • The cabling between the RAID card and the backplane
    • Catastrophic hard drive failures (i.e. multiple hard drive failures beyond the redundancy provided by the RAID configuration)
  • Memory might be defective - Server memory is usually provisioned with error correction codes (ECC), but these may still fail under certain circumstances.
  • Power supplies might go out of commission and require replacement. If the power supply redundancy is not sufficient, then the machine may need to be shut down, although it may be possible to replace parts without necessitating shutdown.

In other words, there are too many points of failure, and therefore the odds are stacked against keeping a single server up for years and years.

Availability is Not Limited By Uptime

But even as individual servers may need to be taken down for maintenance from time to time, either voluntarily, or involuntarily - this does not mean that the 'system' cannot remain available. During such times, the goal is rather to allow the system to continue to operate, only perhaps not as powerfully as when all servers are up. In other words, ideally, if a server goes down, the system should operate a tiny bit slower than normal, but continue to operate. This way, services can be provided continuously, despite hardware problems that occasionally arise.

The benefit is that availability is compromized only when all nodes fail. If each node has a 1% chance of being down on a particular day, then the chance that the whole system will go down on that day is 1%^n + x, where n is the number of nodes, and x is the chance that the clustering solution is configured wrong or has some bug. With 3 nodes, the chance of having a catastrophic failure on one day is then 0.01 % + x, where, due to the nature of the software written for high availability, and the people who are interested in configuring it, x is a very very small number.

Many Single Points of Failure Eliminated

By employing redundant servers configured for high availability, we can eliminate several points of failure:

  • Multiple Internet providers can be used, so if one fails, the other may still work
  • Multiple locations - if power goes down in one place, a server in another placeis likely to still have power and an Internet connection, and be able to take over as a primary server.
  • Multiple servers - if a server (or node) becomes disfunctional, others stand ready to take its place
  • Multiple DNS servers on different IP addresses - if one goes down, the others take over. Raw DNS can be used to provide a kind of load balancing - each time a web browser looks up a web server address, it receives a list of IP addresses (in random order). The web browser tries the servers one by one until one works. In the event of a downed server, the user would experience a slowdown, but not a service disruption.

High Availability is Not An Excuse to Not Do Backups

Just because the system is engineered to never go down, does not mean that the system administrators can rest assured that it will never happen. Even if it is extremely unlikely, it is only a matter of when, not if, a catastrophic failure will occur.... And due to the complexity of the system, when the failure occurs, some pretty damned good backups will be needed to effect a timely restoration.

Most Recent Website and Regional Updates

 Transparen Toronto Office Locations
Addresses of Transparen Corporation offices in Toronto, Ontario.

 
 High Scalability - Large Systems Optimization
Transparen Corporation lends its expertise to clients experiencing rapid and sudden growth in traffic or server utilization, bottlenecks, systems instability, downtime during peak traffic, or which would like to plan to avoid such issues.

 
 Throughput (or Bandwidth) vs. Latency
This document uses the example of Bill Gates purchasing Google to explain the difference between bandwidth (or throughput) and latency.

 
 Emergency Management Services
The prototypical emergency involves a shutdown of essential services for a finite period of time. What will your organization do when a world-wide financial crisis strikes?

 
 Fast RAID Server Data Recovery Service
Transparen's Vancouver International Response Team provides the option in Canada and USA to get a raid server back running in hours - eliminating costly waiting associated with typical RAID recoveries.

 
 Data Recovery Service
Have you deleted a mission critical file? Accidentally dropped a computer, or formatted a hard drive? No recent backup? Mistakes can happen, but the data might still be there.

 
 About Transparen
Transparen is committed to serving its clients.

 
 Research Tools
Measure human resource allocation and collect data with the goal of determining patterns that will bring forward actionable insights which may lead to policy changes, saving money and improving quality of service.

 
 Process Evaluation Questions
Questions to help focus discussion about process improvement

 
 Operations Research
Operations Research (frequently called OR), is the methodical study of how to do things better. It is also called Optimization Theory.

 

Google
 
Web transparen.com

Contact Information

Related Information

Avoidance of Magic - Informal Survey Results
Joe the IT Director phones up high-traffic websites to ask them if they used magic.
High Scalability - Large Systems Optimization
Transparen Corporation lends its expertise to clients experiencing rapid and sudden growth in traffic or server utilization, bottlenecks, systems instability, downtime during peak traffic, or which would like to plan to avoid such issues.
Throughput (or Bandwidth) vs. Latency
This document uses the example of Bill Gates purchasing Google to explain the difference between bandwidth (or throughput) and latency.
Fast RAID Server Data Recovery Service
Transparen's Vancouver International Response Team provides the option in Canada and USA to get a raid server back running in hours - eliminating costly waiting associated with typical RAID recoveries.
Data Recovery Service
Have you deleted a mission critical file? Accidentally dropped a computer, or formatted a hard drive? No recent backup? Mistakes can happen, but the data might still be there.
   
 
E C M | © 2003-2007 Transparen Corp.      

Standardized Services: Data Recovery Service / Creative Services / Premium Web Hosting Services / System Administration Tech Support Services
Recent Projects: Full-Service Mortgage and Financing Company / System to manage flights from Vancouver to Tofino / Photo exchange verification service
Our Vancouver BC Server Proudly Hosts: automated parking and revenue control systems, leafside lane at southlands, cost effective alternative power sources, Higher Grade Learning Centres, pacific forage bag supply, sunburst medical, neosonic design, roger mahler photography - passionate, intriguing, desirable, the connection between east and west, affordable flights to victoria and tofino, low interest mortgage brokers in vancouver, richmond, surrey, toronto, Toronto Calgary and Vancouver IT staffing and talent search
* Akron (Summit County) * Alliance (Stark County and Mahoning County) * Amherst (Lorain County) * Ashland (Ashland County) * Ashtabula (Ashtabula County) * Athens (Athens County) * Aurora (Portage County) * Avon (Lorain County) * Avon Lake (Lorain County) * Barberton (Summit County) * Batavia (Clermont County) * Bay Village (Cuyahoga County) * Beachwood (Cuyahoga County) * Beavercreek (Greene County) * Bedford (Cuyahoga County) * Bedford Heights (Cuyahoga County) * Bellbrook (Greene County) * Bellefontaine (Logan County) * Bellevue (Erie, Huron, Seneca and Sandusky Counties) * Belpre (Washington County) * Berea (Cuyahoga County) * Bexley (Franklin County) * Blue Ash (Hamilton County) * Bolivar (Tuscarawas County) * Bowling Green (Wood County) * Brecksville (Cuyahoga County) * Broadview Heights (Cuyahoga County) * Brooklyn (Cuyahoga County) * Brook Park (Cuyahoga County) * Brookville (Montgomery County) * Brunswick (Medina County) * Bryan (Williams County) * Bucyrus (Crawford County) * Cadiz (Harrison County) * Caldwell (Noble County) * Cambridge (Guernsey County) * Campbell (Mahoning County) * Canal Fulton (Stark County) * Canfield (Mahoning County) * Canton ((Stark County) * Carlisle ((Warren County) * Carrollton (Carroll County) * Celina (Mercer County) * Centerville (Montgomery County; another Centerville in Gallia County is a village.) * Chardon (Geauga County) * Cheviot (Hamilton County) * Chillicothe (Ross County) * Cincinnati (Hamilton County) * Circleville (Pickaway County) * Clayton ((Montgomery County) * Cleveland (Cuyahoga County) * Cleveland Heights (Cuyahoga County) * Clyde * Columbiana * Columbus (Franklin County) * Conneaut (Ashtabula County) * Cortland * Coshocton (Coshocton County) * Crestline * Cuyahoga Falls (Summit County) * Dayton ((Montgomery County) * Deer Park (Montgomery County) * Defiance (Defiance County) * Delaware (Delaware County) * Delphos ((Allen County and Van Wert County) * Dover (Tuscarawas County) * Dublin (Franklin County) * East Cleveland (Cuyahoga County) * Eastlake (Lake County) * East Liverpool * East Palestine * Eaton (Preble County) * Elyria (Lorain County) * Englewood ((Montgomery County) * Euclid (Cuyahoga County) * Fairborn (Greene County) * Fairfield (Butler County) * Fairlawn (Summit County) * Fairview Park (Cuyahoga County) * Findlay (Hancock County) * Forest Park (Hamilton County) * Fostoria * Franklin ((Warren County) * Fremont (Sandusky County) * Gahanna (Franklin County) * Galion * Gallipolis (Gallia County) * Garfield Heights (Cuyahoga County) * Geneva (Lake County) * Georgetown (Brown County) * Girard (Trumbull County) * Grandview Heights (Franklin County) * Green (Summit County) * Greenfield{Highland County} * Greenville (Darke County) * Grove City (Franklin County) * Hamilton (Butler County) * Harrison (Hamilton County) * Heath * Highland Heights (Cuyahoga County) * Hilliard (Franklin County) * Hillsboro (Highland County) * Hubbard * Huber Heights (Montgomery County) * Hudson (Summit County) * Huron (Erie County) * Independence (Cuyahoga County) * Indian Hill (Hamilton County) * Ironton (Lawrence County) * Jackson (Jackson County) * Jefferson (Ashtabula County) * Kent (Portage County) * Kenton (Hardin County) * Kettering ((Montgomery County) * Kirtland (Lake County) * Lakewood (Cuyahoga County) * Lancaster (Fairfield County) * Lebanon (Warren County) * Lima (Allen County) * Lisbon (Columbiana County) * Logan (Hocking County) * London (Madison County) * Lorain (Lorain County) * Louisville * Loveland * Lyndhurst (Cuyahoga County) * Macedonia (Summit County) * Madeira * Malta * Mansfield (Richland County) * Maple Heights (Cuyahoga County) * Marietta (Washington County) * Marion (Marion County) * Martins Ferry * Marysville (Union County) * Mason (Hamilton County) * Massillon * Maumee (Lucas County) * Mayfield Heights (Cuyahoga County) * McArthur (Vinton County) * McConnelsville (Morgan County) * Medina (Medina County) * Mentor (Lake County) * Mentor-on-the-Lake (Lake County) * Miamisburg ((Montgomery County) * Middleburg Heights (Cuyahoga County) * Middletown (Butler County) * Milford (Clermont County) * Millersburg (Holmes County) * Monroe * Montgomery (Hamilton County) * Moraine * Mount Gilead (Morrow County) * Mount Healthy * Mount Vernon (Knox County) * Munroe Falls (Summit County) * Napoleon (Henry County) * Nelsonville (Athens County) * Newark (Licking County) * New Albany (Franklin County) * New California * New Carlisle * New Lexington (Perry County) * New Philadelphia (Tuscarawas County) * Newton Falls (Trumbull County) * Niles (Trumbull County) * North Canton ((Stark County) * North College Hill * North Olmsted (Cuyahoga County) * North Ridgeville (Lorain County) * North Royalton (Cuyahoga County) * Northwood * Norton * Norwalk (Huron County) * Norwood (Hamilton County) * Oberlin (Lorain County) * Olmsted Falls (Cuyahoga County) * Ontario (Richland County) * Oregon (Lucas County) * Orrville * Ottawa (Putnam County) * Oxford (Butler County) * Painesville (Lake County) * Parma (Cuyahoga County) * Parma Heights (Cuyahoga County) * Pataskala * Pepper Pike (Cuyahoga County) * Perrysburg (Wood County) * Pickerington (Franklin County) * Piqua * Pomeroy (Meigs County) * Port Clinton (Ottawa County) * Portsmouth (Scioto County) * Powell (Delaware County) * Ravenna (Portage County) * Reading (Hamilton County) * Reynoldsburg (Franklin County) * Richmond Heights (Cuyahoga County) * Rittman (Portage County) * Riverside * Rocky River (Cuyahoga County) * Rossford (Hamilton County) * St. Bernard * St. Clairsville * St. Marys * Salem * Sandusky (Erie County) * Seven Hills (Cuyahoga County) * Shaker Heights (Cuyahoga County) * Sharonville (Butler and Hamilton Counties) * Sheffield Lake (Lorain County) * Shelby * Sidney (Shelby County) * Silverton * Solon (Cuyahoga County) * South Euclid (Cuyahoga County) * Springboro (Montgomery and Warren Counties) * Springdale (Hamilton County) * Springfield (Clark County) * St. Clairsville (Belmont County) * Steubenville (Jefferson County) * Stow (Summit County) * Streetsboro (Portage County) * Strongsville (Cuyahoga County) * Struthers * Sylvania (Lucas County) * Tallmadge (Summit County) * Tiffin (Seneca County) * Tipp City * Toledo (Lucas County) * Toronto (Jefferson County) * Trenton * Trotwood ((Montgomery County) * Troy (Miami County) * Twinsburg (Summit County) * Uhrichsville * Union * University Heights (Cuyahoga County) * Upper Arlington (Franklin County) * Upper Sandusky (Wyandot County) * Urbana * Vandalia * Van Wert (Van Wert County) * Vermilion (Lorain County) * Wadsworth (Medina County) * Wapakoneta (Auglaize County) * Warren (Trumbull County) * Warrensville Heights (Cuyahoga County) * Washington Court House (Fayette County) * Waterville * Wauseon (Fulton County) * Waverly (Pike County) * Wellston * West Carrollton * Westerville (Franklin County) * Westlake (Cuyahoga County) * West Union (Adams County) * Whitehall (Franklin County) * Wickliffe (Lake County) * Willard * Willoughby (Lake County) * Willoughby Hills (Lake County) * Willowick (Lake County) * Wilmington (Clinton County) * Woodsfield (Monroe County) * Wooster (Wayne County) * Worthington (Franklin County) * Wyoming (Hamilton County) * Xenia (Greene County) * Youngstown (Mahoning County) * Zanesville (Muskingum County)