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McLeod Soft Lok HCF Ford Sm Blk 5.0/5.7L 0 Bal 11in X 1-3/8 X 10 Spline 164Soft Lok The McLeod Soft Lok assembly is the most widely used McLeod clutch assembly for drag racers, and is not recommended for street use. This unit is an NHRA and IHRA record holder. Low static pressure for light pedal effort and soft clutch engagement. Leave the starting line harder with less tire spin. Enough holding power for the entire run. Adjustable spring pressure and counter weights. Kit includes adjustable long style pressure plate,
Soft Lok - The McLeod Soft Lok assembly is the most widely used McLeod clutch assembly for drag racers, and is not recommended for street use. This unit is an NHRA and IHRA record holder. Low static pressure for light pedal effort and soft clutch engagement. Leave the starting line harder with less tire spin. Enough holding power for the entire run. Adjustable spring pressure and counter weights. Kit includes adjustable long style pressure plate, sintered iron 5135 compound disc and billet aluminum flywheel. SFI Rated and made in the USA!
- • Low Static Pressure.
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Year Make Model Submodel 1963 Ford 300 Base 1966-1974 Ford Bronco Base 1975-1993 Ford Bronco Custom 1985-1995 Ford Bronco Eddie Bauer 1975,1978 Ford Bronco Northland 1975 Ford Bronco Ranger 1978-1981 Ford Bronco Ranger XLT 1975-1977 Ford Bronco Sport 1990-1995 Ford Bronco XL 1982-1983 Ford Bronco XLS 1984-1992,1994-1995 Ford Bronco XLT 1982-1983,1993 Ford Bronco XLT Lariat 1992 Ford Bronco XLT Nite 1995 Ford Bronco XLT Sport 1964-1972 Ford Custom Base 1973 Ford Custom 500 Base 1969-1982 Ford E-100 Econoline Base 1975-1982 Ford E-100 Econoline Chateau 1975-1983 Ford E-100 Econoline Custom 1975-1978 Ford E-100 Econoline Northland 1983 Ford E-100 Econoline XL 1975-1982 Ford E-100 Econoline Club Wagon Base 1975-1982 Ford E-100 Econoline Club Wagon Chateau 1975-1983 Ford E-100 Econoline Club Wagon Custom 1975-1978 Ford E-100 Econoline Club Wagon Northland 1983 Ford E-100 Econoline Club Wagon XL 1975-1982,1984-1986 Ford E-150 Econoline Base 1975-1982 Ford E-150 Econoline Chateau 1975-1983,1987-1989 Ford E-150 Econoline Custom 1975-1978 Ford E-150 Econoline Northland 1983-1989 Ford E-150 Econoline XL 1975-1982,1984-1986 Ford E-150 Econoline Club Wagon Base 1975-1982 Ford E-150 Econoline Club Wagon Chateau 1975-1983,1987-1989 Ford E-150 Econoline Club Wagon Custom 1975-1978 Ford E-150 Econoline Club Wagon Northland 1983-1989 Ford E-150 Econoline Club Wagon XL 1984-1989 Ford E-150 Econoline Club Wagon XLT 1975-1982,1984 Ford E-250 Econoline Base 1975-1982 Ford E-250 Econoline Chateau 1975-1982 Ford E-250 Econoline Custom 1975-1978 Ford E-250 Econoline Northland 1984 Ford E-250 Econoline XL 1975-1982,1984 Ford E-250 Econoline Club Wagon Base 1975-1976,1978-1982 Ford E-250 Econoline Club Wagon Chateau 1975-1982 Ford E-250 Econoline Club Wagon Custom 1975-1978 Ford E-250 Econoline Club Wagon Northland 1984 Ford E-250 Econoline Club Wagon XL 1984 Ford E-250 Econoline Club Wagon XLT 1975-1982,1984-1986 Ford E-350 Econoline Base 1975-1982 Ford E-350 Econoline Chateau 1975-1983,1987-1989 Ford E-350 Econoline Custom 1975-1978 Ford E-350 Econoline Northland 1983-1989 Ford E-350 Econoline XL 1977-1982,1984 Ford E-350 Econoline Club Wagon Base 1977-1982 Ford E-350 Econoline Club Wagon Chateau 1977-1983 Ford E-350 Econoline Club Wagon Custom 1977-1978 Ford E-350 Econoline Club Wagon Northland 1983-1984 Ford E-350 Econoline Club Wagon XL 1984 Ford E-350 Econoline Club Wagon XLT 1969-1974,1983 Ford F-100 Base 1975,1980-1982 Ford F-100 Custom 1975 Ford F-100 Northland 1975,1980-1981 Ford F-100 Ranger 1980-1981 Ford F-100 Ranger Lariat 1975,1980-1981 Ford F-100 Ranger XLT 1982-1983 Ford F-100 XL 1982-1983 Ford F-100 XLS 1982-1983 Ford F-100 XLT Lariat 1976-1978,1983-1986 Ford F-150 Base 1975-1982,1987-1992 Ford F-150 Custom 1995 Ford F-150 Eddie Bauer 1975-1978 Ford F-150 Northland 1975-1981 Ford F-150 Ranger 1978-1981 Ford F-150 Ranger Lariat 1975-1981 Ford F-150 Ranger XLT 1995 Ford F-150 Special 1982-1995 Ford F-150 XL 1982-1983 Ford F-150 XLS 1977,1983-1984,1993-1995 Ford F-150 XLT 1982,1985-1992 Ford F-150 XLT Lariat 1969-1974,1977-1978,1983-1986 Ford F-250 Base 1977-1982,1987-1992 Ford F-250 Custom 1995 Ford F-250 Eddie Bauer 1977-1978 Ford F-250 Northland 1977-1981 Ford F-250 Ranger 1978-1981 Ford F-250 Ranger Lariat 1977-1981 Ford F-250 Ranger XLT 1995 Ford F-250 Special 1982-1995 Ford F-250 XL 1982-1983 Ford F-250 XLS 1977,1983-1984,1993-1995 Ford F-250 XLT 1982,1985-1992 Ford F-250 XLT Lariat 1972-1974,1976-1978,1983-1986 Ford F-350 Base 1975-1982,1987-1992 Ford F-350 Custom 1995 Ford F-350 Eddie Bauer 1975-1978 Ford F-350 Northland 1975-1981 Ford F-350 Ranger 1978-1981 Ford F-350 Ranger Lariat 1975-1981 Ford F-350 Ranger XLT 1995 Ford F-350 Special 1982-1995 Ford F-350 XL 1982-1983 Ford F-350 XLS 1977,1983-1984,1993-1995 Ford F-350 XLT 1982,1985-1992 Ford F-350 XLT Lariat 1963-1969 Ford Fairlane Base 1978-1979 Ford Fairmont Base 1978-1979 Ford Fairmont Futura 1964-1970 Ford Falcon Base 1963-1967 Ford Galaxie Base 1968-1973 Ford Galaxie 500 Base 1975-1980 Ford Granada Base 1978-1980 Ford Granada ESS 1975-1980 Ford Granada Ghia 1968 Ford GT40 Base 1966-1967,1969 Ford GT40 MK III 1966-1973 Ford LTD Base 1983 Ford LTD Country Squire 1983 Ford LTD Crown Victoria 1971-1977 Ford Maverick Base 1975-1977 Ford Maverick Grabber 1964-1973,1979 Ford Mustang Base 1979 Ford Mustang Ghia 1982-1983 Ford Mustang GL 1982-1983 Ford Mustang GLX 1982-1995 Ford Mustang GT 1984 Ford Mustang GT-350 20th Anniversary 1995 Ford Mustang GTS 1982,1984 Ford Mustang L 1984-1993 Ford Mustang LX 1993-1995 Ford Mustang SVT Cobra 1993,1995 Ford Mustang SVT Cobra R 1975-1978 Ford Mustang II Base 1975-1978 Ford Mustang II Ghia 1975-1978 Ford Mustang II Mach 1 1972,1976 Ford P-350 Base 1976 Ford P-350 Custom 1976 Ford P-400 Base 1976 Ford P-400 Custom 1976-1977 Ford P-500 Base 1976-1977 Ford P-500 Custom 1975-1977 Ford Ranchero 500 1965-1971 Ford Ranchero Base 1975-1977 Ford Ranchero GT 1975-1977 Ford Ranchero Squire 1968-1974 Ford Torino Base
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4.3 ★★★★★
Based on 2133 reviews
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Product Reviews
★★★★★ 3
have some good contents but too general
Format: Paperback
The book covers some good points, but overall, it's too general.
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Reviewed in the United States on June 28, 2024
★★★★★ 3
Why Politics in a Tech Book????
Format: Kindle
Well... I'm surprised to see the book blatently calls out its dedication to Black Lives Matter, which is in all caps so I assume it's referring to the political organization. It goes on to speak of 2020 being the year of an "awakening of injustices of systematic racism"... I thought I was buying a technical book??? Had I known this political bs was included I wouldn't have purchased it! However, I bought and I'm still reading it. If the politics goes away and the TECHNICAL content is good I'll update my review.
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Reviewed in the United States on December 13, 2020
★★★★★ 2
Not good use of time
Format: Paperback
It’s not clear who this book targets - neither experts nor novice will benefit. There are expert perspectives, only few of these are helpful, rest are too generic to be of any use. For instance the last entry is one an engineer who shares how she went from zero to expert in cloud engineering in six months but fails to mention a single resource or pathway for others to follow.
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Reviewed in the United States on April 2, 2022
★★★★★ 3
Uneven compendium of tips and insights, but still very useful
Format: Kindle, Format: Kindle
“In theory, theory and practice are the same. In practice, they are not" is why such bottom-up insights and lessons from the field are the fastest way to learn real life stuff. This series had a GREAT start with "Engineering Management" - I guess because it is way more subjective than Cloud Engineering and offered a variety of non-overlapping POVs. This one is a mixed bag, perhaps because "Cloud Engineering" was perceived amorphously by the authors. The scope was broad - from cloud-native (architecture), to cloud-ready (topology), to cloud-operations, to choosing tech (e.g., Lambda/serverless), to -ilities and economics -- it is like celebrating Halloween, Christmas and Labor Day together in a single long weekend.
I would give it 4/+ stars if at least 25% of such a book was "superb", giving 3 because about 10% of the book is. That still leaves 10 solid insights or learning that would otherwise take many failures to learn. And failures, especially in this emerging domain of complexity, is VERY expensive. Would love to see more books like this.
Let's summarize some key insights -
-- Real-time visibility across the entire DevOps lifecycle is key to winning in cloud.
-- Operations, especially operations at scale, is extremely hard. So, wherever possible, use Managed Services.
-- Distinguish between "availability" and "uptime" and measure each separately, and concretely.
-- In FaaS/Serverless, calling a function synchronously increases debugging complexity.
-- Good code is like good joke - it needs no explanation.
-- "Building your app or platform on top of the abstractions that a cloud provider gives you does not make the underlying layers stop existing. In many cases, it makes them even more important." That makes the failure modes LESS obvious than we were used to. Therefore having "extreme visibility" into your systems will help "separate the issues at the layer you're focused on from the fundamental system issues". i.e., just because what was under the hood is now even less visible, don't forget them. Many recent "cloud failures" have been in networking fault domains.
-- Cloud is not optimized for replacing static infrastructures.
-- Containers, service meshes and serverless jumpstart dev productivity but they also change the attack surface of apps and infra.
-- "Number of containers that are alive for 10 sec or less has doubled to 22%". 73% of all containers live for 30 minutes or less.
-- Adopt an "assume breach" stance for everything. Have a break-glass account.
-- Ensure you have a thorough understanding of where and how secrets are secured.
-- Grey failures (transient degradation of services) are often worse than complete crashes, since the latter have a short feedback loop.
-- Resilience engineering has existed as a sub-discipline within safety sciences. We just recently started applying its concepts in technology. Resilience can be thought of as a "socio-technical system" with Robustness ("system X has property Y that is robust in sense Z to perturbation W"); Reliability (consistent operations or service levels); Rebound (ability to deal with a chaotic situation using structures developed AND deployed BEFORE the chaos). In other words, robustness protects systems against a SPECIFIC type of failure mode. When a system is robust in many dimensions, it approaches good resilience to failure.
-- Resilience is something you "do", not something you "have". Resilience is a verb.
-- Moving from one class of nines to the next is 10 times more expensive.
-- Production System really means "system that someone else, anyone else, can hold you accountable for".
-- Most common theme across incidents is that something, somewhere was surprising.
-- Incidents are unplanned investments...your challenge is to maximize ROI.
-- We used to think of scale in two dimensions - horizontal (more) and vertical (bigger). In cloud, think of "scale out" (when demands increase) and "scale in" (when demand decreases).
-- Architecture diagram is also a map of failure modes.
-- Async communication is a friend of Cloud Reliability.
-- Test in production is a competitive advantage. The complexity of traffic patterns going through high-scale production systems is increasingly harder to reproduce in a controlled env.
-- Hundreds of open issues is fine, but if the repo has gone months (or, years!) without a release, THAT is a warning sign.
-- It is hard to write good tests for bad code.
-- Platforms come and go. But first principles and patterns will always exist, because they are the ones and zeros.
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Reviewed in the United States on November 6, 2023
★★★★★ 2
Shallow, biased and significantly overpriced
Format: Paperback
Well, this purchase was a disappointment. 20% of the pages are dedicated to just highlighting the bios and backgrounds of the many different authors that contributed this great wisdom. And let me be clear, the authors are solid. They are professionals with credible backgrounds and experience. But it's the format and constraints of this book that makes it virtually impossible for that to shine through. Because the rest of the book (80%) is dedicated to the so called "97 things every cloud engineer should know". And unfortunately the average length of one of these "things" is about 1.5 pages long, and as such extremely shallow and in about 30% of the cases straight up promotions for specific company services. You will find Google cloud advocates telling you to use managed services, of Google of course. AWS engineers telling you to avoid them and use IaaS. LaunchDarkly employees telling you to use feature flags. The list goes on. The TL;DR: here is that if you have built anything on the cloud in the last 2 years, this book is going to be a waste of your time and money. You are better of googling: "cloud best practices" and dedicating 2h to reading the first 10 non-ad related search results.
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Reviewed in the United States on March 23, 2022
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