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Elf- Hydrating Camo Concealer- Light PeachWhat it is: A long lasting liquid concealer that provides crease resistant full coverage with a satin finish. Why you'll love it: Full coverage concealer with a satin finish Long lasting wear Large doe foot applicator for an even and precise application Non comedogenic e. l. f. Shade Match Guarantee means you'll always find your perfect match Great for: Oily, Dry, and Combination Skin Nothing to see herethis full coverage liquid concealer covers up
What it is: A long-lasting liquid concealer that provides crease-resistant full coverage with a satin finish.
Why you'll love it:
- Full coverage concealer with a satin finish
- Long-lasting wear
- Large doe foot applicator for an even and precise application
- Non-comedogenic
- e.l.f. Shade Match Guarantee means you'll always find your perfect match
Great for: Oily, Dry, and Combination Skin
Nothing to see here—this full-coverage liquid concealer covers up blemishes and under-eye circles while delivering a boost of hydration to your skin. The lightweight, blendable formula corrects and perfects giving you a smooth, satin, crease-resistant finish that’s long-lasting. Find your match with an inclusive selection of 25 shades.
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e.l.f. clean means we go above and beyond EU Cosmetic Regulation and FDA requirements by voluntarily removing more than the required 1,600 ingredients.
All e.l.f. products are Vegan and Cruelty Free.
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4.8 ★★★★★
Based on 1816 reviews
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Product Reviews
★★★★★ 5
This is a "Go-To" for thinking about Cloud Challenges.
Format: Paperback
Delivering and managing fully realized applications in the cloud is different. Different approaches to classic engineering problems than traditional On Premise development and different ways of thinking through the problems of "always available" solutions.
I've been in the software delivery business a long time, and with the cloud emerging, for good and ill: I understand the problems, but may be just a little set in my ways. I find this book helps me re-frame challenges in a way that aligns with the strengths of cloud computing. Solve the same problems faster, by thinking about them differently.
I'm finding "97 Things Every Cloud Engineer Should Know" great for re-centering my expectations about Cloud Native development and deployment of assets. I started reading it cover to cover over the Christmas Holiday but now i just pick it up and look for the group of essays about exactly the problem I'm wrestling with.
P.S. I'm heartened by the editors commitment to Black Lives Matter and Rule of Law. Mentioned only to balance the concerns from another review.
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Reviewed in the United States on January 24, 2021
★★★★★ 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