Filmmaker Andrew Muir of The Art of Storytelling, who previously looked at the enigmatic character of Q in _Star Trek: The Next Generation_ , takes the analysis a bit further, noting how Q was instrumental in giving the Enterprise a preview of the Borg in the episode “Q Who?” It was Q’s challenges that led Captain Picard to be assimilated and become Locutus of Borg. > The point of the episode “Q Who” is that Q wants to disabuse Picard of his arrogance. …the assimilation of Picard introduces a whole new level of horror and challenges his character in a really important way. and the wake of destruction that they leave on their war path to planet Earth is certainly intimidating. Muir also explains the Borg in more detail, noting how its members cannot be successful as individuals, which is antithetical to everything _Star Trek_ stands for. He also talks about how the Borg went from terrifying and mysterious to commonplace, particularly as it appeared in other _Star Trek_ movies and series. > I think the Borg story is more horror than science fiction, and that’s because the more welearn about the Borg, the lesscompelling and interesting they are. It’s that classic thing sometimes calledthe Jaws effect where a monster is onlyscary when it’s lurking unseen. Once allof its subtlety and complexity has been revealed and understood and no longer has the capacity to instill terror. ## The First Encounter With the Borg ## Captain Picard as Locutus of Borg ## The Enigmatic Q > How the Enigmatic Character of ‘Q’ Represented a Moral Test for Humanity in ‘Star Trek: The Next Generation’ ### Related Posts

The legendary Bill Bruford, who was the drummer of English progressive rock bands including Yes, Genesis, and King Crimson, shared how he teaches young students to play. Using the song “What Can We Do With a Drunken Sailor?” (“The Wheels on the Bus”), Bruford suggests singing and clapping the melody of the song, which can then be transferred to the drum kit in a variety of styles. > There are strong connections between the rhythm of speech and the rhythms we use in music…As soon as possible, and probably before getting a young student to play the standard rock beat, I’d suggest getting him or her singing and clapping the rhythm of the songs melody. ### Related Posts

По размещению: @karrrolina2

Talented Japanese paper artist Shinrashinge created an ingenious moving illustration that, with the strategic pull of various paper tabs, turns a young boy into a werewolf. The tabs allow the user to slow go through each stage of this remarkable transformation. The artist also shared how this illusion was created. > I created a moving illustration. > A boy turns into a wolf. ## Other Pull-Tab Moving Illustrations via Everlasting Blort ### Related Posts

# Automatic Vertical Scaling vs AWS, Azure, GCP | AccuWeb.Cloud ### TL;DR **Automatic Vertical Scaling Explained** * * Vertical scaling increases CPU and RAM on the same server * Most cloud providers still require reboots or downtime * Hyperscalers prioritize horizontal scaling instead Why AccuWeb.Cloud Stands Out * Real-time automatic CPU and RAM scaling * No reboot, no downtime * No manual intervention * Perfect for traffic spikes and variable workloads Bottom Line If your application demand is unpredictable, AccuWeb.Cloud delivers what hyperscalers still cannot. Cloud promises elasticity. Reality often delivers stress. A sudden traffic spike. A campaign that actually works. An AI job that needs more memory right now. In those moments, performance matters more than dashboards, tickets, or manual resizing. This is where most cloud platforms reveal a hard truth: **Automatic vertical scaling is still not truly automatic on most hyperscalers.** AccuWeb.Cloud changes that. ## What Is Automatic Vertical Scaling Automatic vertical scaling is the ability of a cloud system to dynamically increase or decrease **CPU and RAM on the same running server** , in real time, without: * Rebooting the server * Replacing the instance * Migrating workloads * Manual intervention ### Vertical vs Horizontal Scaling * **Vertical scaling** : More power to the same server * **Horizontal scaling** : More servers, more orchestration Horizontal scaling is powerful, but complex. Vertical scaling is simpler, faster, and often exactly what real-world workloads need. The challenge is not theory. It is availability. ## The Hyperscaler Reality Check (What Actually Works and What Does Not) When people say “AWS, Azure, or GCP support vertical scaling,” they are **partially right**. The key detail most misses is _where_ and _how_ that scaling actually works. Let’s break it down clearly. ## Atleast 40% more affordable than Hyperscalers No Vendor Lock-In – 24/7 Support – Global Data Centers. Register Today→ ✓ Transparent Pay-As-You-Go Model. ## AWS (EC2 and Managed Services) AWS does support vertical scaling, but **how it works depends entirely on the service**. ### For Amazon EC2 (Virtual Machines) AWS allows instance resizing, but in practice: * The instance must be stopped * The instance type must be changed * The VM restarts on new hardware * Downtime is unavoidable AWS Auto Scaling is designed for **horizontal scaling** (adding or removing instances), not for live vertical scaling of CPU or RAM. **Bottom line:** EC2 vertical scaling is manual, disruptive, and not real-time. ### Where AWS Does Scale Vertically Automatically AWS provides automatic vertical scaling **inside specific managed services** : * **Amazon Aurora Serverless**** ** Automatically scales database capacity (Aurora Capacity Units) based on load. * **Amazon EKS (Kubernetes)**** ** Supports Vertical Pod Autoscaler (VPA) to adjust container CPU and memory requests. * **Amazon RDS Storage Auto Scaling**** ** Automatically increases storage capacity when usage thresholds are reached. These services handle scaling internally, without user intervention. ### The Important Distinction AWS vertical scaling works well **within managed or containerized services** , but **not for general-purpose EC2 virtual machines**. If your workload runs directly on EC2, changing CPU or RAM still requires a top-resize-restart cycle. ## Microsoft Azure (VMs and Managed Services) Azure supports vertical scaling, but like AWS, **the experience depends on the service type**. ### For Azure Virtual Machines Azure allows VM resizing, but: * Most size changes require VM deallocation * The VM must stop before resizing * A restart is required after resizing * Downtime is common In some limited cases, resizing may work without deallocation if the target size exists on the same physical host, but this is **not guaranteed or automatic**. Azure Autoscale focuses primarily on **horizontal scaling** , not live vertical scaling. **Bottom line:** VM-level vertical scaling is manual and often disruptive. ### Where Azure Does Scale Vertically Automatically Azure provides automatic or semi-automatic vertical scaling within specific services: * **Azure SQL Database (Serverless)**** ** Automatically scales compute (vCores) up and down based on workload demand. * **Azure Kubernetes Service (AKS)**** ** Supports Vertical Pod Autoscaler (VPA) for containerized workloads. These services abstract the infrastructure complexity from the user. ### The Important Distinction Azure vertical scaling works best **inside managed and serverless services** , but **not consistently for general-purpose virtual machines**. ## Google Cloud Platform (GCP) Google Cloud follows a similar design philosophy. ### For Compute Engine (Virtual Machines) GCP allows VM resizing, but: * The VM must be stopped to change the machine type * CPU and RAM changes require a restart * Live vertical scaling is not supported GCP recommends **horizontal scaling with managed instance groups** for production workloads. **Bottom line:** VM-level vertical scaling is manual and requires downtime. ### Where GCP Does Scale Vertically Automatically GCP provides automatic vertical scaling in specific environments: * **Google Kubernetes Engine (GKE)**** ** Vertical Pod Autoscaler adjusts container CPU and memory requests. * **Dataflow Prime**** ** Automatically adjusts worker memory during job execution. * **Cloud SQL Storage Auto-Resize**** ** Automatically increases storage capacity (not CPU or RAM). ### The Important Distinction GCP vertical scaling is effective **for containers and data processing services** , but **not for standard VMs running general workloads**. ## DigitalOcean DigitalOcean keeps things simple and developer-friendly, but vertical scaling remains limited. ### For Droplets (Virtual Machines) DigitalOcean supports resizing, but: * Droplets must be powered off * CPU and RAM changes are manual * Downtime is unavoidable DigitalOcean Autoscale Pools focus entirely on **horizontal scaling**. **Bottom line:** Vertical scaling exists, but it is manual and disruptive. ### Where Vertical Scaling Is Possible * **DigitalOcean Kubernetes (DOKS)**** ** Supports Vertical Pod Autoscaler if users install and manage it themselves. * **Managed Databases**** ** Allow manual resizing and some storage expansion. These are **not automatic, one-click VM-level features**. ### The Important Distinction DigitalOcean offers great simplicity, but **true automatic vertical scaling is not native** to its compute platform. ## Predictable Pricing. No Surprises. Pay only for allocated resources with clear pricing and no hidden fees. Try Vertical Scaling → ✓ Upgrade or downgrade anytime. ## One Clear Pattern Across All Hyperscalers Across AWS, Azure, GCP, and DigitalOcean: * Automatic vertical scaling exists mainly in **managed or containerized services** * General-purpose VMs still require **restarts or manual actions** * Live, real-time CPU and RAM scaling at the VM level is rare This is exactly where AccuWeb.Cloud stands apart. ## Why Hyperscalers Still Avoid True Auto Vertical Scaling This is not a lack of engineering skill. It is a design choice. Hyperscalers optimize for: * Massive horizontal scale * Predictable billing units * Infrastructure standardization Live vertical scaling requires: * Advanced hypervisor orchestration * Dynamic resource rebalancing * Accepting less rigid billing models Reboots are treated as acceptable trade-offs. For modern applications, they are not. ## How AccuWeb.Cloud Solves This Differently AccuWeb.Cloud was designed with a different philosophy: **Performance first. Simplicity always.** ### What Makes AccuWeb.Cloud Different * Real-time CPU and RAM scaling * No reboot * No downtime * No manual resizing * Scaling triggered automatically by demand This is not scheduled resizing. This is not an instance replacement. ## Atleast 40% more affordable than Hyperscalers No Vendor Lock-In – 24/7 Support – Global Data Centers. Register Today→ ✓ Transparent Pay-As-You-Go Model. ## How It Works (Simple View) Behind the scenes: * Resource usage is continuously monitored * CPU and RAM adjust dynamically * Applications keep running * Resources scale up during peaks and scale down during quiet periods For the user: **Your application just keeps working.** ## Where This Makes a Real Difference ### E-commerce Flash Sales * No cart failures * No checkout slowdowns * No panic scaling ### SaaS Platforms * Stable performance for all tenants * No over-provisioning * Better cost control ### AI and ML Workloads * Dynamic memory prevents crashes * Faster iteration cycles ### Enterprise and Legacy Apps * Vertical scaling without re-architecture * Ideal for monolithic workloads ## AccuWeb.Cloud vs Hyperscalers (Quick View) **Feature** | **AccuWeb.Cloud** | **AWS** | **Azure** | **GCP** | **DigitalOcean** ---|---|---|---|---|--- Automatic Vertical Scaling | Yes | No | Partial | Partial | No Downtime Required | No | Yes | Yes | Often | Yes Real-Time Scaling | Yes | No | Limited | Limited | No Manual Intervention | No | Yes | Yes | Yes | Yes Operational Complexity | Low | High | High | Medium | Low ## Why This Changes Everything Automatic vertical scaling is not a technical luxury. It changes how teams feel about infrastructure. * No fear of traffic spikes * No late-night alerts * No capacity guesswork * No paying for idle resources The cloud should adapt to your business. Learn About AWC – Auto Scaling __ Not the other way around. ## People Also Ask (And You Should Too!) ### Q) What Is Automatic Vertical Scaling? A) Automatic vertical scaling is the ability to increase or decrease CPU and RAM on a running server **in real time** , without rebooting, replacing the instance, or causing downtime. ### Q)Do AWS, Azure, GCP, or DigitalOcean Support True Automatic Vertical Scaling? A) No. Most hyperscalers require stopping or restarting virtual machines to change CPU or RAM. Their auto scaling solutions mainly focus on horizontal scaling, not live vertical scaling. ### Q)Why Hyperscalers Struggle With Vertical Scaling A) Hyperscalers are designed for massive horizontal scale and standardized billing. Live vertical scaling requires advanced hypervisor orchestration and flexible resource allocation, which conflicts with their architecture and pricing models. ### Q)How AccuWeb.Cloud Is Different A) AccuWeb.Cloud provides **true automatic vertical scaling** by dynamically adjusting CPU and RAM in real time, without reboot, downtime, or manual intervention. ### Q) Which Cloud Is Best for Unpredictable Traffic? A) AccuWeb.Cloud is best suited for unpredictable workloads because it supports live automatic vertical scaling without service interruption. ## Final Thought Hyperscalers excel at massive scale. AccuWeb.Cloud excels at **adaptive performance**. Automatic vertical scaling is no longer a nice-to-have feature. It is a competitive advantage. And today, AccuWeb.Cloud delivers what many global cloud providers still cannot. Jilesh Patadiya Jilesh Patadiya, the visionary Founder and Chief Technology Officer (CTO) behind AccuWeb.Cloud. Founder & CTO at AccuWebHosting.com. He shares his web hosting insights on the AccuWeb.Cloud blog. He mostly writes on the latest web hosting trends, WordPress, storage technologies, and Windows and Linux hosting platforms.

Introduction Choosing the right tool for your storage layer is one of the most consequential...

**Проект российского разработчика ПО «Лаборатории Числитель» и Почта Банка стал победителем первой премии «Компьютерры» — «Герои нового энтерпрайза» — в номинации «Внедрение года».** Почта Банк перевел инфраструктуру высоконагруженной платформы дистанционного банковского обслуживания («Почта Банк Онлайн») на полностью российский технологический стек. В основе решения — контейнерная платформа «Штурвал», позволяющая централизованно управлять Kubernetes-кластерами, обеспечивать высокий уровень отказоустойчивости, безопасности и масштабируемости. В результате внедрения банк добился существенного технологического эффекта. «Переход на микросервисную архитектуру и использование платформы “Штурвал” позволили нам не только повысить надежность и производительность ДБО, но и принципиально ускорить вывод новых функций. Для банка с широкой региональной сетью в стране это критически важное конкурентное преимущество», — отметил Александр Базарнов, руководитель направления развития систем электронного бизнеса Почта Банка. «Для нас эта победа — уже вторая совместная награда с этим банком. Сегодня на базе “Штурвала” в банке развернуто более 25 Kubernetes-кластеров, при этом платформа продолжает масштабироваться вместе с развитием цифровых сервисов», — добавил Владимир Беляевский, исполнительный директор «Лаборатории Числитель». «Герои нового энтерпрайза» — это награда для компаний и лидеров, формирующих облик технологического бизнеса России. В 2025 году в нее вошли тринадцать номинаций. Церемония награждения прошла в Сколково на презентации второго номера журнала «Компьютерра».

Опубликовать вакансию или рекламу: @GLmanager (Среднее время ответа 2 минуты)

The "Why" Behind the Project As someone transitioning into DevOps, I quickly realized that real...

🇮🇳 Local DevSecOps Automation, Built in India 🇮🇳 🇮🇳 On Republic Day, I’m proud to launch...

Linux Foundation: The "Cockpit" of the Cloud I have used windows all my life, my very...

After two years of being back in the (enterprise) software engineering industry, I’m back out. In January 2024, I wrote a long post about leaving academia; why I couldn’t get a foot in the door; why I probably didn’t try hard enough; and my fears of losing touch with practice. Well guess what. I’m back into education. I wouldn’t dare to call it _academia_ though: I’m now a lecturer at a local university college, where I teach applied computer science. While the institution is quite active in conducting (applied) research, I’m not a part of it. Contrary to my last job in education, where I divided my time between 50% teaching and 50% research, this time, my job is 100% teaching. It feels weird to write about my professional journey the last two years. In September 2023, I received my PhD in Engineering Technology and was in constant dubio state whether to try and stick around or return to my roots—the software engineering industry. My long practical experience turned out to be a blessing for the students but a curse for any tenure track: not enough papers published, not enough cool looking venues to stick on the CV. So I left. I wanted a bit more freedom and I started freelancing under my own company. At my first client, I was a tech lead and Go programmer. Go was fun until `if err != nil` got the better of me, but the problem wasn’t Go, it was enterprise IT, mismanagement, over-ambitiousness, and of course, Kubernetes. I forgot why I turned to education in the first place. I regretted leaving academia and felt I made the wrong choice. About a year later, an ex-colleague called and asked if I was in need of a new job. I wasn’t, and yet I was. I joined their startup and the lack of meetings and ability to write code for a change felt like a breath of fresh air. Eight months later, we had a second kid. Everything changed—again. While we hoped for the best, the baby turned out to be as troublesome as the first: 24/7 crying (ourselves included), excessively puking sour milk, forgoing sleeping, … We’re this close (_gestures wildly_) to a mental breakdown. Then the eldest got ill and had to go to the hospital. Then my wife got ill and had to go to the hospital. I’m still waiting on my turn, I guess it’s only a matter of time. Needless to say, my professional aspirations took a deep dive. I tried to do my best to keep up with everything, both at home and at work, but had the feeling that I was failing at both. Something had to give. Even though my client was still satisfied with my work, I quit. The kids were the tipping point, but that wasn’t the only reason: the startup environment didn’t exactly provide ample opportunities to coach/teach others, which was something that I sorely missed even though I didn’t realise this in the beginning. Finding another client with more concrete coaching/teaching opportunities would have been an option but it wouldn’t suddenly provide breathing room. I’m currently replacing someone who went the other way and he had a 70% teaching assignment. In the coming semester, There’s 30% more waiting for me. Meanwhile, I can assist my wife in helping with the baby. There are of course other benefits from working in education, such as having all school holidays off, which is both a blessing (we’re screwed otherwise) and a curse (yay more kids-time instead of me-time). That also means I’m in the process of closing down my own business. Most people will no doubt declare me crazy: from freelancing in IT to a government contract with fixed pay scales in (IT) education—that’s quite a hefty downgrade, financially speaking. Or is it? I tried examining these differences before. We of course did our calculations to see if it would be a possibility. Still, it feels a bit like a failure, having to close the books on _Brain Baking BV1_. Higher education institutions don’t like working with freelance teachers and this time I hope I’m in there for the long(er) run. I could of course still do something officially “on the side” but who am I kidding? This article should have been published days ago but didn’t because of pees in pants, screams at night and over-tiredness of both parents. The things I’m teaching now are not very familiar to me: Laravel & Filament, Vue, React Native. They’re notably front-end oriented and much more practical than I’m used to but meanwhile I’m learning and I’m helping others to learn. I’ve already been able to enthuse a few students by showing them some debugging tools, shortcuts, and other things on the side, but I’m not fooling myself: like in every schooling environment, there are plenty of students less than willing to swallow what you have to say. That’s another major thing I have to learn: to be content. To do enough. To convince myself I don’t need to do more. I’ve stopped racing along with colleagues that are willing to fight to climb some kind of invisible ladder long ago. At least, I think I did: sometimes I still feel a sudden stab of jealousy when I hear they got tenured as a professor or managed to do x or y. At this very moment, managing to crawl in and out of bed will do. * * * 1. BV is the Belgian equivalent to LLC. ↩︎ folder icon `braindump` tag icon `jobs`

Analise Mifsud performed the classic instrumental "Popcorn" on keyboard, Theremin, and on an adorable Otamatone. subscribe to the Laughing Squid Newsletter The post The Classic ‘Popcorn’ Synth Pop Instrumental Played on Theremin and an Adorable Otamatone was originally published on Laughing Squid.

Empowering businesses with innovative solutions for a digital future.

4 Ever Green shared wonderful footage of the rarest and most beautiful pigeons from around the world while explaining their coloring, where they can be found, and other interesting facts about each bird. > Not all pigeons are gray city birds. Some glow like rainbows, shimmer like metal, or wear crowns of feathers fit for royalty. For example, the narrator explains how the stunning Nicobar pigeon is considered to be the only living link to the Dodo bird, why the Jacobin pigeons, Indian Fantails, and Victoria crowned pigeons are considered fancy, and why the beautiful pink-headed fruit dove is a rare sight to see. > From the fiery Orange Fruit Dove to the legendary Victoria Crowned Pigeon these are the most beautiful pigeons on Earth. They’re living art birds so stunning you’ll think they were painted by hand. Despite their reputation, city pigeons can also be quite colorful and stunning. > View this post on Instagram > View this post on Instagram > View this post on Instagram > View this post on Instagram ### Related Posts

The Animal Sounds explained the vocalizations rabbits make, then played audio of these adorable creatures in the wild making these sounds. He further noted that these animals are known to be very quiet for the most part, but can make a lot of noise when they are in distress. > Rabbits are usually quiet animals, but when they do vocalize, their calls can be surprising – from gentle humming to distress cries. ### Related Posts