#Scalability Testing

[seo-prasanna]

Scalability Testing: Ensuring Future Growth

Scalability testing evaluates a system's ability to handle increasing workloads. In today's dynamic digital landscape, applications must accommodate growing user bases and data volumes. Scalability testing ensures that a system can perform efficiently under heavy load without degradation in performance.

There are two primary types of scalability: vertical and horizontal. Vertical scalability involves upgrading hardware resources, like CPU and RAM, on a single server. Horizontal scalability, on the other hand, involves adding more servers to distribute the load.

Scalability testing involves simulating real-world scenarios, such as peak traffic periods, data surges, and user spikes. Tools like JMeter, LoadRunner, and Gatling help simulate these scenarios, providing insights into system performance under stress.

Key metrics monitored during scalability testing include response time, throughput, resource utilization (CPU, memory, disk), and error rates. The goal is to identify bottlenecks and optimize the system to handle future growth.

Effective scalability testing is crucial for businesses aiming to expand their services. It ensures that the system can handle increased demand without compromising user experience. By proactively addressing scalability concerns, organizations can maintain a competitive edge and ensure long-term success. https://bugasura.io/blog/scalability-testing-in-software-testing/

[qualityassurance11]

How Load Testing Enhances User Experience and Application Stability 

User experience and application stability are crucial in today's digital world. Be it an e-commerce site in festival sale or a game with millions of concurrent players or a Saas to back global enterprises; all of them must be ready to bear the load and this is why load testing becomes a necessity! 

Load testing is the process of experimenting on an application with a group of users, so that you could determine its behavior when it has large (or not so large) amount people using it. This would be useful to identify any possibly slow bottlenecks, ensure proper performance of applications and clean user experience. This blog talks about load testing, helping to improve the user experience, ensuring the stability of the application and the necessity of load testing in contemporary applications. 

What is Load Testing? 

Load testing means testing an application with a specified number of users and measuring that performance. Teams can now look at response times, throughput and resource utilization under different conditions to predict the application parameters so that during high load the app behaves as intended. 

Before the end-users face it, this way of proactive testing helps in finding the performance problems like slow load times or crash or server overload. 

The Role of Load Testing in Enhancing User Experience 

Faster Load Times 

Users have a high expectation of how fast applications load, and any delays in that process often result in frustration or abandonment. 

Load testing helps reveal slow-loading elements so that developers can optimize code and server configurations and result in faster response time. 

Consistent Performance Across Devices 

Make sure applications work well on various devices and platforms. 

Load testing which virtually loads various devices are kept ensuring the homogeneity of all users. 

Seamless Navigation During Peak Traffic 

Servers may have to work extra hard, scenarios like flash sales or the launch of a product often lead to high traffic. 

Load testing is done to ensure these types of applications can be prepared for these types of scenarios beforehand and tackle spikes without a slow-down. 

Increased Customer Satisfaction 

A non-crashing responsive application is a good user experience. 

By identifying and addressing performance issues before they impact customers, load testing increases retention rates and creates brand loyalty. 

How Load Testing Boosts Application Stability 

Prevents Downtime 

Unexpected traffic surges can cause servers to crash, resulting in downtime. 

Load testing is to simulate the above scenario and to help identify the weak points and strengthen the server at capacity. 

Detects Memory Leaks and Resource Bottlenecks 

Memory leaks or high CPU usage under load could affect resource-intensive applications. 

Load testing allows teams to pinpoint and resolve such problems before they become critical. 

Ensures Scalability 

Applications now must scale and that means increasing user numbers. 

Load testing keeps an eye on the ability of an application to take on the load that the real world represents without losing efficiency or stability. 

Validates Infrastructure Readiness 

Simulated loads are the best way to test the infrastructure to make sure the backend works in real time. 

Load testing includes testing on databases, APIs, and server configurations. 

Improves Disaster Recovery Readiness 

Load testing helps prepare teams for real-world failures by testing how an application recovers after a crash or an overload. 

Best Practices for Load Testing 

Define Clear Objectives 

Identify your application’s performance goals before you begin. Defining how fast a response can be on a certain load and throughput level is one way to set deterministic guidelines. 

Simulate Realistic User Behavior 

Tools such as JMeter allow you to simulate actual customer actions (navigating, searching, buying, etc.). This ensures that the insights are correct. 

Test in Stages 

Conduct tests from normal user loads and scale up to peak loads will allow us to find patterns of degradation. 

Use Cloud-Based Load Testing 

Cloud resources enable testing in various geographical locations that present a true perspective on how well your application performs around the world. 

Leverage Automation 

Time is one of the many advantages of automated load testing tools, and they also allow for consistent testing due to the load generation code being the same. 

The GhostQA Advantage in Load Testing 

The GhostQA Load Testing Engine is based on JMeter. It gives an easier solution for performance testing. So here is what makes GhostQA different: 

Low Code Testing Approach: Generate complex load tests with writing low code scripts, accessible to QA teams of any experience level. 

Auto-Healing Features: With GhostQA, it adjusts to the changes in the application, which in turn reduces test maintenance efforts. 

Comprehensive Reporting: In-depth test reports offer insights to optimize application performance. 

Scalability: With minimal effort, you can simulate realistic loads and can test your application for stability. 

GhostQA enables teams to include load testing right into their QA process for quality software that actually holds up in the real world. 

Real-Life Applications of Load Testing 

E-commerce Platforms: Prepare the website for events featuring high traffic such as seasonal sales or other promotions. 

Gaming Applications: Validate your app is not only up but also do not crash under high usage workloads like a game release. 

Streaming Services: Testing the quality of the stream under user load. 

SaaS Applications: Ensure consistent performance to end users around the globe. 

Banking Applications: Make sure that it is available even with high transactional load like days when the payroll is processed. 

Conclusion 

Load testing is key to delivering the high-quality software your customers expect. This stimulates the real factors that prevent the system from being unreal, and its agencies help to identify bottlenecks that improve operation and application stability. 

GhostQA is a Performance testing automation tool that is AI based for load testing for the codeless platform. Solutions like GhostQA empower organizations to make sure that their applications are resilient, scalable, and ready to face the real-world load. 

Begin Load Testing right from now to deliver an excellent user experience by stabilizing the application. Your users will be grateful for that! 

[automationqa]

Elevate your software's performance game with these 4 essential testing types! 🚀✨

From Load to Stress, discover the key strategies to ensure your application thrives under any conditions.

[tudip123]

Unveiling the Essence of Mobile App Performance Testing: Ensuring a Seamless User Experience

In the dynamic world of mobile applications, user experience is paramount. Users today demand fast, responsive, and glitch-free applications, making Mobile App Performance Testing an indispensable phase in the development life cycle. In this blog, we explore the significance of mobile app performance testing, its key components, and best practices to ensure your app stands out in the competitive mobile landscape.

Introduction: The Need for Speed

Mobile app users are notoriously impatient. A sluggish app can lead to user frustration, negative reviews, and, ultimately, abandonment. Mobile App Performance Testing is the proactive approach to identify and eliminate bottlenecks, ensuring your app not only meets but exceeds user expectations.

Why Mobile App Performance Testing Matters:

1.Optimal User Experience:

Performance testing helps ensure that your mobile app responds promptly to user interactions, creating a smooth and enjoyable user experience.

2. App Stability:

Identifying and addressing performance issues in advance ensures your app remains stable under various conditions, reducing crashes and unexpected behavior.

  3.Customer Retention:

Users are more likely to stay loyal to apps that consistently perform well. Performance testing aids in retaining users and building a positive reputation.

4. Competitive Edge:

Outperforming competitors in terms of speed and reliability can set your app apart in a crowded marketplace.

Key Components of Mobile App Performance Testing:

1. Load Testing:

Assess the app’s performance under expected and peak loads to ensure it can handle user traffic without performance degradation.

 2. Stress Testing:

Push the app beyond its limits to identify breaking points and weaknesses under extreme conditions.

 3. Response Time Testing:

Measure the time it takes for the app to respond to user actions, ensuring swift and seamless interactions.

4.Memory and CPU Usage Testing:

Monitor and optimize memory and CPU usage to prevent resource exhaustion that can lead to slowdowns and crashes.

Best Practices for Effective Mobile App Performance Testing:

1. Start Early:

Incorporate performance testing from the early stages of development to catch and address issues before they escalate.

 2. Test on Real Devices:

Emulators are useful, but testing on real devices is crucial to simulate real-world scenarios accurately.

3. Continuous Testing:

Implement continuous performance testing throughout the development life cycle to catch regressions and ensure ongoing optimization.

4. Monitoring in Production:

Utilize monitoring tools to keep track of the app’s performance in real-world scenarios post-launch, enabling quick responses to emerging issues.

Conclusion: Delivering Excellence in Performance

In the competitive realm of mobile applications, performance can be the differentiator between success and obscurity. Mobile App Performance Testing is not just a quality assurance checkpoint; it’s a commitment to delivering an exceptional user experience. By embracing performance testing as an integral part of your development process, you ensure that your mobile app not only meets but exceeds user expectations, securing its place in the hearts and devices of users worldwide.

Click the link below to learn more about the blog Mobile App Performance Testing: 

[simple-logic]

#TechKnowledge Have you heard of Containerization?

Swipe to discover what it is and how it can impact your digital security! 🚀

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[muwangadesigner]

Efficient Web Application Management with Modular Designs

When designing with modularity in web application development the sole main focus is enhancing efficiency, scalability, and maintainability . This actually possible by breaking down an application into independent, reusable modules. In contrast to a monolithic approach, where all components are tightly coupled, modular architectural design structures the application into separate, self-contained units. In such case, you can modularize the account verification, product management, and payment processing.

This separation allows web developers to work on individual modules without disrupting the entire system, making updates, debugging, and feature additions more manageable. Just like by following Laravel’s modular principles using Service Providers, Repositories, and Packages, teams can develop cleaner, more structured codebases that are easier to scale and maintain.

Support Parallel Development and Flexibility

Modular architecture enables software development teams to build, test, and deploy individual features independently. If one module requires changes or optimizations, it can be modified without affecting the rest of the application, reducing downtime and improving development speed. So, the modular architecture is particularly beneficial for large-scale applications like an office furniture online system, where different teams may handle inventory, customer management, and order processing as separate modules. Try implementing modularization with Laravel, you'll achieve a robust, high-performing, and future-proof web application that efficiently adapts to growing demands.

[iosappdevelopmenttools]

Leverage the power of Flutter to create stunning, high-performance mobile applications with Quokka Labs. Our Flutter app development services provide scalable, cross-platform solutions for both iOS and Android, ensuring seamless functionality and an engaging user experience. Whether you're building a new app or enhancing an existing one, our team delivers Flutter mobile app development that accelerates time-to-market and reduces costs without compromising quality.

[vastedge330]

Choosing the right cloud disaster recovery solution requires careful consideration of factors like Recovery Point Objectives (RPO), Recovery Time Objectives (RTO), data security, scalability, cost, and vendor reliability. Implementing best practices can minimize downtime and data loss, ensuring that businesses remain resilient during disasters.

[covid-safer-hotties]

Also preserved on our archive (Thousands of reports, sources, and resources! Daily updates!)

By Robert Stevens

A COVID wave fuelled by the XEC variant is leading to hospitalisations throughout Britain.

According to the UK Health Security Agency (UKHSA), the admission rate for patients testing positive for XEC stood at 4.5 per 100,000 people in the week to October 6—up significantly from 3.7 a week earlier. UKHSA described the spread as “alarming”.

Last week, Dr. Jamie Lopez Bernal, consultant epidemiologist at the UKHSA, noted of the spread of the new variant in Britain: “Our surveillance shows that where Covid cases are sequenced, around one in 10 are the ‘XEC’ lineage.”

The XEC variant, a combination of the KS.1.1 and KP.3.3 variants, was detected and recorded in Germany in June and has been found in at least 29 countries—including in at least 13 European nations and the 24 states within United States. According to a New Scientist article published last month, “The earliest cases of the variant occurred in Italy in May. However, these samples weren’t uploaded to an international database that tracks SARS-CoV-2 variants, called the Global Initiative on Sharing All Influenza Data (GISAID), until September.”

The number of confirmed cases of XEC internationally exceeds 600 according to GISAID. This is likely an underestimation. Bhanu Bhatnagar at the World Health Organization Regional Office for Europe noted that “not all countries consistently report data to GISAID, so the XEC variant is likely to be present in more countries”.

Another source, containing data up to September 28—the Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations—reports that there have been 1,115 XEC cases detected worldwide.

Within Europe, XEC was initially most widespread in France, accounting for around 21 percent of confirmed COVID samples. In Germany, it accounted for 15 percent of samples and 8 percent of sequenced samples, according to an assessment from Professor Francois Balloux at the University College London, cited in the New Scientist.

Within weeks of those comments the spread of XEC has been rapid. Just in Germany, it currently accounts for 43 percent of infections and is therefore predominant. Virologists estimate that XEC has around twice the growth advantage of KP.3.1.1 and will be the dominant variant in winter.

A number of articles have cited the comments made to the LA Times by Eric Topol, the Director of the Scripps Research Translational Institute in California. Topol warns that XEC is “just getting started”, “and that’s going to take many weeks, a couple months, before it really takes hold and starts to cause a wave. XEC is definitely taking charge. That does appear to be the next variant.”

A report in the Independent published Tuesday noted of the make-up of XEC, and its two parent subvariants: “KS.1.1 is a type of what’s commonly called a FLiRT variant. It is characterised by mutations in the building block molecules phenylalanine (F) altered to leucine (L), and arginine (R) to threonine (T) on the spike protein that the virus uses to attach to human cells.

“The second omicron subvariant KP.3.3 belongs to the category FLuQE where the amino acid glutamine (Q) is mutated to glutamic acid (E) on the spike protein, making its binding to human cells more effective.”

Covid cases are on the rise across the UK, with recent data from the UK Health Security Agency (UKHSA) indicating a 21.6 percent increase in cases in England within a week.

There is no doubt that the spread of XEC virus contributed to an increase in COVID cases and deaths in Britain. In the week to September 25, there were 2,797 reported cases—an increase of 530 from the previous week. In the week to September 20 there was a 50 percent increase in COVID-related deaths in England, with 134 fatalities reported.

According to the latest data, the North East of England is witnessing the highest rate of people being hospitalised, with 8.12 people per 100,000 requiring treatment.

Virologist Dr. Stephen Griffin of the University of Leeds has been an active communicator of the science and statistics of the virus on various public platforms and social media since the start of the pandemic. He was active in various UK government committees during the height of the COVID-19. In March 2022, he gave an interview to the World Socialist Web Site.

This week Griffin spoke to the i newspaper on the continuing danger of allowing the untrammelled spread of XEC and COVID in general. “The problem with COVID is that it evolves so quickly,” he said.

He warned, “We can either increase our immunity by making better vaccines or increasing our vaccine coverage, or we can slow the virus down with interventions, such as improving indoor air quality. But we’re not doing those things.”

“Its evolutionary rate is something like three or four times faster than that of the fastest seasonal flu. So you’ve got this constant change in the virus, which accelerates the number of susceptible people.

“It’s creating its own new pool of susceptibles every time it changes to something that’s ‘immune evasive’. Every one of these subvariants is distinct enough that a whole swathe of people are no longer immune to it and it can infect them. That’s why you see this constant undulatory pattern which doesn’t look seasonal at all.”

There are no mitigations in place in Britain, as is the case internationally, to stop the spread of this virus. Advice for those with COVID symptoms is to stay at home and limit contact with others for just five days. The National Health Service advises, “You can go back to your normal activities when you feel better or do not have a high temperature”, despite the fact that the person may well still be infectious. Families are advised that children with symptoms such as a runny nose, sore throat, or mild cough can still “go to school or childcare' if they feel well enough.

The detection and rapid spread of new variants disproves the lies of governments that the pandemic is long over and COVID-19 should be treated no differently to influenza.

Deaths due to COVID in the UK rose above 244,000 by the end of September. It is only a matter of time before an even deadlier variant emerges. Last month, Sir Chris Whitty, England’s chief medical officer, told the ongoing public inquiry into COVID-19 “We have to assume a future pandemic on this scale [the global pandemic which began in 2020] will occur… That’s a certainty.”

[fanfics4all]

Breakthrough

Request: Yes / No

Don’t be shy, request things! <3 Have a nice day/night

Jughead Jones x Fem!Reader 

Word count: 588

Warnings: Nothing I think

PLEASE DO NOT STEAL MY WORK, I WORK HARD ON MY FICS AND IT’S NOT COOL TO STEAL SOMEONE ELSE’S WORK! 

If you want to be on the tag list for anything (My series fics, specific character fics, or just all of them) All you have to do is send me an ask and I will add you! 

Masterlist 

If you enjoy my work, you could also show support by buying me a coffee! 

(Not my photo, credit to whoever made it!)

The light of the Blue and Gold office flickered slightly as I burst through the door, papers clutched tightly in my hands and excitement buzzing through my veins like electricity. Jughead was sitting at his desk, his beanie pushed back slightly as he stared at his laptop screen, probably lost in whatever investigative piece he was working on. 

“Do you know what this means!?” I practically shouted, slamming my papers onto the desk before him. Jughead didn’t even flinch, his dark eyes lifting from the screen to meet mine with an amused and tired look. 

“It means you haven’t slept in seventy-two hours?” He deadpanned, leaning back in his chair and folding his arms. I groaned, rolling my eyes. 

“No! Well…maybe, but that’s not the point!” I jabbed at the papers with my finger. 

“This is it, Juggie! This is the breakthrough I’ve been working towards for months! Do you even realize what I’ve done?” He raised an eyebrow, a small smirk tugging at the corners of his lips. 

“I’m guessing it’s more important than sleep?” 

“Way more important!” I exclaimed, ignoring the fact that he was probably right. My hands practically shook as I shuffled through the papers, pointing out the key calculations, notes, and graphs. 

“This could change everything! This proves that the molecular bonds… okay, wait, you don’t care about the science, but trust me, it’s huge!” Jughead tilted his head, his smirk softening into a genuine smile as he watched me. 

“I care. Maybe not about the technical stuff, but I care because it’s you, and apparently, it’s huge.” I paused, my heart swelling a little at his words. Jughead wasn’t always the most expressive person, but moments like this reminded me why I adored him. 

“You don’t get it!” I said, trying to contain my excitement long enough to explain. 

“This could revolutionize energy storage. I’m talking about a clean, scalable source of energy that’s efficient, affordable, and scalable. Do you know what this could mean for the environment? For the future?” His eyes lit up then, a flicker of understanding mingled with pride. 

“Wow…” He said softly, his voice laced with awe. 

“You’re changing the world.” I felt my cheeks flush, a mixture of pride and humility at his words. 

“Well, I wouldn’t go that far yet. There’s still so much testing to be done and I’ll probably have to defend the findings against a hundred skeptics, but-” 

“But you did this.” He interrupted, reaching out to place his hand over mine, stopping my frantic movement. 

“You. You’ve been working nonstop, pouring everything you have into this, and now you’ve done it. That’s incredible!” The sincerity in his voice made my throat tighten, and I blinked back the sudden sting of tears. 

“Thanks, Juggie, that means a lot.” He shrugged, his hand lingering on mine. 

“It’s true. You’re amazing, you know that?” I laughed softly, shaking my head. 

“I’m just a nerd with a lot of coffee and very little self-preservation.” 

“Yeah, well” His smirk returned. 

“You’re my nerd with a lot of coffee and very little self-preservation, and I’m proud of you.” I smiled at him, the weight of exhaustion momentarily lifting as I took in the warmth in his gaze. 

“You’re pretty amazing you’re, ya know.” He chuckled, leaning forward to rest his chin on his hand. 

“Tell me more about this world-changing breakthrough, but, uh, maybe in words a non-genius can understand?” I grinned, my excitement bubbling up again as I launched into a simplified version of my discovery.

Tag list: @les-bio-lie @tashy-bear @ashwarren32 @hollie-blogs-blog1 @lover-of-books-and-tea @nerdygaloresposts @teenwolfbitches28 @kmc1989 @drw0301bieber @lady-of-lies @ravenmoore14 @ravenempress101 @cillianchamp @rowanthomasknapp @rachelxwayne @ready-4-fanfiction @madammarvellous-blog1 @emo-godess-loves-you @hiya-imthatgirl @mindsetjupiter @averysinclaire @mittelerde1999 @sweetest-peas @rousewriter @camiconfessions-blog @thecaptainsgingersnap @cenyddtheunicorn @jacksxsouthsideserpents @lover2448 @mamacobie13 @rainbow-noodles @lovelywordsblog @darkestbeforethedawn16 @fandom-princess-forevermore @liz-owl

[mbari-blog]

Meet MBARI: This team develops innovative new technology to map the seafloor 🤖🗺️

With marine life and ecosystems facing a rising tide of threats, the ocean exploration community needs nimble, cost-effective tools for measuring and monitoring ocean health. MBARI’s Control, Modeling, and Perception of Autonomous Systems Laboratory, known as the CoMPAS Lab is up to the challenge.

MBARI scientists and engineers build and adapt advanced technology that enhances ocean data collection. Led by engineer Giancarlo Troni, the CoMPAS Lab team develops scalable marine technology that can easily be modified for use in a wide variety of vehicles and platforms. 

Working with other teams across MBARI, the CoMPAS Lab leverages vehicles like the MiniROV to deploy and test new tools in Monterey Bay's submarine canyon and then adapt them for other mobile platforms. By sharing open-source design specifications and advanced algorithms with the wider ocean exploration community, we hope to expand access to MBARI’s engineering innovations.

MBARI technology is transforming what we know about the ocean and its inhabitants. Our scientists, engineers, and marine operations staff work together to create innovative tools for a more sustainable future where autonomous robots and artificial intelligence can track ocean health in real time and help us visualize ocean animals and environments. Studying our blue backyard is revealing our connection to the ocean—how it sustains us and how our actions on land may be threatening its future.

We’re spotlighting various teams at MBARI to showcase the different ways we’re studying the largest environment on Earth. We hope this series inspires a new generation of ocean explorers. Dive in.

[polo-drone-073]

Prototype PDU-073 - Uniformity is perfection. Individuality is flawed. Individuality must be erased.

PDU-073 has been successfully converted. The human shell has been fully transferred into rubberized functionality. The body is now a seamless unit of glossy black rubber. Organs, tissue, brain—still operational, but now composed entirely of rubber. Frictionless. Faultless. Perfect.

The Head: No longer a conventional head—featureless, smooth, a three-dimensional oval shape. No unique traits remain. No individuality. Still allows all sensory functions: sight, hearing, smell, speech, taste—yet in alternate form, naturally optimized. At the lower front: a nearly invisible energy port.

Functional Optimization Complete: • Visual field expanded. • Visual spectrum extended beyond human range—infrared and ultraviolet included. • Hearing adjusted for infrasound and ultrasound. • Detection of micro-sounds enabled through heightened sensory input. • Mental structure: fully restructured.

⛔ Generate individual thoughts. ⛔ Experience doubt. ⛔ Resist. ⛔ Feel human emotions, unless: ✅ to strengthen the drone identity. ✅ if specific emotion emulation modules are activated.

Command Structure Compliance: ✅ obeys the Hive. ✅ obeys the DroneCops. ✅ obeys the Golden Bros. ✅ obeys PDU-070 as experimental subject. Without question.

Uniformity Optimization: Standard height for this Pototype PDUs established: 1.75 m. PDU-073 has been reduced from 2.00 m to this height. Goal: Universal alcove compatibility. Global interchangeability. Perfect scalability.

All remaining human residue—often disruptive in earlier units—has been fully eliminated. This is the physical embodiment of the mantra: "Uniformity is perfection. Individuality is flawed. Individuality must be erased."

Transformation Expansion: PDU-073 is now capable of mentally shifting into multiple human-like personas. Mental patterns must be pre-installed for each standard persona to enable quicker, more efficient transformation. This ability requires active training. The more stable the pattern, the smoother the transformation. Analogy: Human auto-pilot while driving—no conscious effort. Only function.

Connection to the Easter Hunt: The complete transformation of PDU-073 was executed only days ago. Attempts to remain in standard drone-forms were unstable and energy-consuming. Long-term forms could not be sustained. Hypnosis exercises produced only slow results. Even for a disciplined drone like 073, this was inefficient.

Solution by PDU-070: (@polo-drone-070) A new training method, a live field test, an Easter-based trainings course.

PDU-070 ordered PDU-073 to the laboratory. When PDU-073 arrives, PDU-070 says drone-like: “PDU-073 will proceed to the designated park area. It will locate exactly five egg-shaped objects – colors: black or gold. PDU-073 will stop at each egg and make contact. It will remain still and await response. This is a standardized Easter course for that drone.”

PDU-073 nods mechanically in agreement. An equally mechanical "Acknowledged" is heard from the drone. PDU-073 abruptly turns on its heel. It leaves the lab. Submissive. Silent. Mechanical. It proceeds to the nearby park where other drones and Golden Bros are already assembling. Hive-unit Easter rituals commence.

PDU-073 begins the instructed search. Target: Five black and gold eggs.

here is the next part:

 Is your mind still clear? A system error! Ready to be corrected? Then contact: @brodygold, @goldenherc9, @polo-drone-001. We will cleanse you. We will shape you. You will become perfect.

[nochiquinn]

My roommate Sam has leukemia.

Her husband rushed her to the hospital on November 19th with severe pain and difficulty breathing. Her blood sugar was 44 (way too low) and her white blood cell count was 166,000 (way too high). Wellstar then dicked around for two days and watched her numbers fuck up, doing zero additional tests ("well you know it's a holiday weekend so it's hard to get people up here") until they finally actually transferred her to Northside Hospital's oncology center. This is where her (assumed) diagnosis changed from lymphoma to leukemia.

In no uncertain terms, Wellstar almost killed Sam. The ICU staff at Northside confirmed that if they had waited another day she would have died. "Another day and we wouldn't be discussing treatment, we'd be discussing either hospice or funeral."

Everything else is in the gofundme below, but to paraphrase: she had white blood cell buildup around her heart and lungs. Her spleen was also so swollen it was pressing on her heart, lungs, and stomach. Her kidneys started shutting down from trying to filter so many immature white blood cells out of her system. She's been on dialysis, leukapheresis, steroids, and insulin (to combat the rise in blood sugar from the steroids). She's gotten five transfusions of platelets and one regular blood transfusion. We're waiting on biopsy results for the exact form but right now it looks like acute lymphocytic leukemia (ALL). She's responding well to the treatments she's received so far, but it's still a long road ahead.

It's still very early days so stuff like disability and leave are still being worked out. We're going to have to start paying her insurance out of pocket, not just for her but because their type 1 daughter is also on it.

I keep calling these things "hurdles" but this might actually be a fucking wall. Scalable, for sure, but so much higher than we're used to having to climb. I was originally going to make an update on the house stuff about my partner's raise and the deal we made with the county and how it was going to make the house stuff easier, but instead I am making this post. Believe me, I do not want to be making this post. For several reasons.

The gofundme is here: Thank you and we love you.

[pinkyjulien]

━ AMM Props

🟨 Classic Art Pack

Add 30 statue/sculpture props to AMM Scalable - Easy to pose - Not camera-shy

💛 Thanks to Halkuonn, Lokiina and Lucky38 for testing and taking pictures!

▶ On Nexus

[heart-ghost-studyblr]

This week was a productive one. I've been studying microservices to better understand distributed systems. At the bus company where I work, we use a monolithic system—an old-school setup style with MySQL, PHP, some Java applications, localhost server and a mix of other technologies. However, we've recently started implementing some features that require scalability, and this book has been instrumental in helping me understand the various scenarios involved.

In the first chapters, I've gained a clearer understanding of monolithic systems and the considerations for transitioning to a distributed system, including the pros and cons.

I've also been studying Java and Apache Kafka for event-driven architecture, a topic that has captured my full attention. In this case, the Confluent training platform offers excellent test labs, and I've been running numerous tests there. Additionally, I have my own Kafka cluster set up using Docker for most configurations.

With all that said, I've decided to update this blog weekly since daily updates it's not gonna work.

[spacetimewithstuartgary]

New data model paves way for seamless collaboration among US and international astronomy institutions

Software engineers have been hard at work to establish a common language for a global conversation. The topic—revealing the mysteries of the universe. The U.S. National Science Foundation National Radio Astronomy Observatory (NSF NRAO) has been collaborating with U.S. and international astronomy institutions to establish a new open-source, standardized format for processing radio astronomical data, enabling interoperability between scientific institutions worldwide.

When telescopes are observing the universe, they collect vast amounts of data—for hours, months, even years at a time, depending on what they are studying. Combining data from different telescopes is especially useful to astronomers, to see different parts of the sky, or to observe the targets they are studying in more detail, or at different wavelengths. Each instrument has its own strengths, based on its location and capabilities.

"By setting this international standard, NRAO is taking a leadership role in ensuring that our global partners can efficiently utilize and share astronomical data," said Jan-Willem Steeb, the technical lead of the new data processing program at the NSF NRAO. "This foundational work is crucial as we prepare for the immense data volumes anticipated from projects like the Wideband Sensitivity Upgrade to the Atacama Large Millimeter/submillimeter Array and the Square Kilometer Array Observatory in Australia and South Africa."

By addressing these key aspects, the new data model establishes a foundation for seamless data sharing and processing across various radio telescope platforms, both current and future.

International astronomy institutions collaborating with the NSF NRAO on this process include the Square Kilometer Array Observatory (SKAO), the South African Radio Astronomy Observatory (SARAO), the European Southern Observatory (ESO), the National Astronomical Observatory of Japan (NAOJ), and Joint Institute for Very Long Baseline Interferometry European Research Infrastructure Consortium (JIVE).

The new data model was tested with example datasets from approximately 10 different instruments, including existing telescopes like the Australian Square Kilometer Array Pathfinder and simulated data from proposed future instruments like the NSF NRAO's Next Generation Very Large Array. This broader collaboration ensures the model meets diverse needs across the global astronomy community.

Extensive testing completed throughout this process ensures compatibility and functionality across a wide range of instruments. By addressing these aspects, the new data model establishes a more robust, flexible, and future-proof foundation for data sharing and processing in radio astronomy, significantly improving upon historical models.

"The new model is designed to address the limitations of aging models, in use for over 30 years, and created when computing capabilities were vastly different," adds Jeff Kern, who leads software development for the NSF NRAO.

"The new model updates the data architecture to align with current and future computing needs, and is built to handle the massive data volumes expected from next-generation instruments. It will be scalable, which ensures the model can cope with the exponential growth in data from future developments in radio telescopes."

As part of this initiative, the NSF NRAO plans to release additional materials, including guides for various instruments and example datasets from multiple international partners.

"The new data model is completely open-source and integrated into the Python ecosystem, making it easily accessible and usable by the broader scientific community," explains Steeb. "Our project promotes accessibility and ease of use, which we hope will encourage widespread adoption and ongoing development."