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Description
Cosmic KissCosmic Kiss von Sensi Seeds Die Cosmic Kiss von Sensi Seeds ist eine faszinierende feminisierte Cannabis Sorte mit 80 % Indica und 20 % Sativa Genen, die sowohl Anfnger als auch erfahrene Zchter begeistert. Diese Kreuzung aus Rainbow Belts 2. 0 und Bacio kombiniert eine auergewhnliche Harzproduktion, ppige Ertrge und ein Terpenprofil, das sowohl se als auch erdige Aromen perfekt vereint. Eigenschaften der Cosmic Kiss Genetik: Cosmic Kiss wurde mit dem
Cosmic Kiss von Sensi Seeds
Die Cosmic Kiss von Sensi Seeds ist eine faszinierende feminisierte Cannabis-Sorte mit 80 % Indica- und 20 % Sativa-Genen, die sowohl Anfänger als auch erfahrene Züchter begeistert. Diese Kreuzung aus Rainbow Belts 2.0 und Bacio kombiniert eine außergewöhnliche Harzproduktion, üppige Erträge und ein Terpenprofil, das sowohl süße als auch erdige Aromen perfekt vereint.
Eigenschaften der Cosmic Kiss
- Genetik: Cosmic Kiss wurde mit dem Ziel entwickelt, die besten Eigenschaften ihrer Eltern zu vereinen: süße, fruchtige Aromen von Rainbow Belts und die kräftige Indica-Struktur von Bacio.
- Anbau: Diese robuste Sorte wächst mittelgroß – 120–140 cm Indoor und bis zu 160 cm Outdoor – und liefert beeindruckende Ergebnisse sowohl in Innenräumen als auch im Freien.
- Ertrag: Mit bis zu 550 g/m² Indoor und über 600 g pro Pflanze Outdoor liefert sie dichte, harzige Buds, die Züchter begeistern.
- Blütezeit: Eine kurze Blütezeit von 55–65 Tagen macht Cosmic Kiss zur idealen Wahl für Grower, die schnelle und qualitativ hochwertige Ernten suchen.
Sensi Seeds Cosmic Kiss: Aroma, Geschmack und Wirkung
- Geschmack: Das vielseitige Terpenprofil bietet süße, zuckerähnliche Noten, ergänzt durch spritzige Zitrusfrüchte und erdige Untertöne. Beim Rauchen entfalten sich Beerenaromen, die von einem sanften Diesel-Abgang begleitet werden.
- Wirkung: Cosmic Kiss erzeugt ein euphorisches High, das Kreativität und Glück fördert. Mit der Zeit wandelt sich das Erlebnis in ein tief entspannendes, körperliches High, das für wohltuende Sedierung sorgt. Ideal für den Abend oder kreative Tagesaktivitäten.
Anbau und Pflege:
- Pflegeleicht: Diese Cannabis-Samen sind perfekt für Anfänger geeignet, aber auch erfahrene Grower können durch Trainingstechniken wie SCROG, SOG oder Lollipopping beeindruckende Ergebnisse erzielen.
- Struktur: Kompakte Pflanzen mit kräftigen Ästen und einem dichten Blütenwachstum. Die tiefvioletten Buds, bedeckt mit leuchtenden Trichomen und orangefarbenen Stempeln, sind ein optisches Highlight.
- Flexibel: Geeignet für sonnige Outdoor-Bedingungen oder gut ausgestattete Indoor-Grows.
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4.3 ★★★★★
Based on 226 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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