|Product Name||Five Steps to Danger|
|Category||Electronics / Photography: A/V Media: Movie|
|Amazon.com||Buy on Amazon ~ B07B64Z7NX|
|Price New||15.77 US Dollars (curriencies)|
|Price Used||15.80 US Dollars (curriencies)|
|Run Time||80 minutes|
|Cast||Charles Davis, Richard Gaines, Ruth Roman, Sterling Hayden, Werner Klemperer|
|Run Time||80 minutes|
|Width||5.5 inches (convert)|
|Height||0.5 inches (convert)|
|Length||7.5 inches (convert)|
|Weight||20 hundredths pounds (convert)|
|Format||Black & White, NTSC, Widescreen|
|Run Time||80 minutes|
|Long Description||Restored from the original camera negative and presented in 1.85:1 original aspect ratio.|
Stranded in a small California town after experiencing car trouble, vacationing John Emmett is spared the tedium of bus travel when he has a chance meeting with Ann Nicholson who offers him a lift if he'll agree to split the driving duties to Santa Fe. He soon learns that Ann is actually a patient recovering from a nervous breakdown, however, and a simple little road trip blossoms into a Cold War nightmare as the couple are ensnared in a web of mystery involving vital national security secrets!
Based on Donald Hamilton's "The Steel Mirror" (serialized in The Saturday Evening Post in 1948), 5 Steps to Danger stars film noir icon Sterling Hayden (The Asphalt Jungle) as a Hitchcockian hero innocently up to his neck in intrigue and danger. Ruth Roman, no stranger to noir films herself (The Window), is Hayden's love interest: a woman whose suspicious background makes her someone difficult to trust.
Directed by Henry Kessler, Danger also features several familiar classic TV faces among its supporting cast: Werner Klemperer, a two-time Emmy winner as Colonel Klink on Hogan's Heroes, portrays a psychiatrist, and daytime drama doyenne Jeanne Cooper (The Young and the Restless) is Roman's concerned nurse. Stir in uncredited contributions from Sidney Clute (Cagney & Lacey) and Ken Curtis (Gunsmoke), and you have in Five Steps to Danger a crackling good suspense thriller that will keep you guessing to the very end!
|Similar Items||0888574657505: Espionage Agent|
0888574623401: Hotel Berlin
0888574623395: Danger Signal
0888574623371: Murder in the Big House
0851968007347: Complete Hal Roach Thelma Todd and Patsy Kelly Comedy Collection (classicflix Silver Serie
0738329231217: I Walk Alone
0738329227913: Special Delivery
0738329226695: Highway Dragnet
0088390424361: Down Three Dark Streets
0043396435834: Miami Story
0031398290667: American Animals
0010101000908: Why Must I Die?
|Search Google||by EAN or by Title|
Article of interest
We have been asked a few times why we put a delay on the free data feed access and why someone should pay for the fast data feed access instead of just using the free version.
Put simply, the free data feed is inteded for you to use while testing your application or if you have a very low lookup requirement. You can even use the free version in production if you don't mind the forced delay in getting your databack. But if you need high volume or need fast data lookups all day long, you really do need to pay for a subscription.
The free version of the data feed will deliver a limited number of lookups each day at full speed and at no charge. Just like manual lookups, every user gets this limited number of fast lookups. Unlike manual lookups though, if you lookup the same data more than once with your data feed, it still counts as a lookup and one of your free lookups gets used. Manual lookups get repeat lookups for free. Why? Because the user gets to see our ads again and might click on one to earn us a small amount of money. You don't think we run this site for free do you?
With a subscription, all of your data feed lookups are fast no matter how many you execute in a day. Repeat lookups of the same item still count as a new lookup, but they are still just as fast as all the others. We try to optomize the data feed lookups for the subscribers to deliver the highest speed of data delivery as we can.
We have run some tests under simulated conditions using multiple computers but all using the same account. Each computer was on a separate network with its own route into our server. We did this to see variations in access time and how many lookups could be performed in a day. Each computer in the test hammered our site trying to grab unique data lookups as quickly as possible. To make this work we gave each computer a list of known codes that we knew would return valid data.
On the average, each computer in the test could perform a large number of lookups in a 24 hour period. Although each computer had different results based on the network, time of day and load on our server, over all they were all fairly close.
When in FREE mode, they were able to average 18,000 lookups in a 24 hour period.
When in SUBSCRIPTION mode, they were able to average 129,600 lookps in a 24 hour period.
Our server processed an average of 1,684,800 lookup request during each 24 hour period while testing which is many times higher than our normal daily load. We really torchered the server to see what it could do.
You can see from these numbers that we have the ability to deliver a large amount of data. One of the largest factors in delivering the data is the network communication speed. Due to standard delays in communication, it often takes longer to ask for the data than it does for us to lookup the informaiton.
You should also quickly notice that in FREE mode, the system does a very good job of limiting how many lookups can be done. This is done by forcing a pause between the data request and returning the data to the calling application once the fast lookups are used up. And if you are asking yourself why we would force this type of delay, well it should be clear. We need to make money. It costs money and takes time to keep this site running. If you are making a lot of requests for our data, it is probably because you are trying to make money with your app so why should we not also make some money on the deal? Data feeds don't generate any ad revenue so we have to charge another way.
On the data feed page you can learn more about how the feed works and purchase a subscription if you like.