#aws cloud infrastructure Service

[jcmarchi]

Ericsson and AWS bet on AI to create self-healing networks

New Post has been published on https://thedigitalinsider.com/ericsson-and-aws-bet-on-ai-to-create-self-healing-networks/

Ericsson and AWS bet on AI to create self-healing networks

Ericsson’s Cognitive Network Solutions has joined forces with AWS to develop AI technologies for self-healing mobile networks.

Behind every text message and video call lies a complex system that telecom companies spend billions maintaining. This partnership between Ericsson and AWS aims to make those networks not just smarter, but virtually self-sufficient.

Jean-Christophe Laneri, VP and Head of Cognitive Network Solutions at Ericsson, said: “This collaboration marks a pivotal milestone in network optimisation technology.

“AWS’ global infrastructure and AI, alongside Ericsson’s unique cross-domain telecom experience and insights, will assist communication service providers in adapting to changing business conditions with predictable costs and enhanced operational efficiency.”

When the internet stops working at home, the first port of call for most is the “off and on again” approach: replug connections and restart the router. If that fails, call customer service. Using agentic AI, this partnership aims to automate the identification of problems, test solutions, and fix issues before you even notice. However, rather than just a home connection, the aim is to use agentic AI to do this on the massive scale of telecom networks serving potentially millions of people.

Fabio Cerone, General Manager of the EMEA Telco Business Unit at AWS, explained: “By working together, AWS and Ericsson will help telecommunications providers automate complex operations, reduce costs, and deliver better experiences for their customers. We are delivering solutions that create business value today while building toward autonomous networks.”

The technology works through something called RAN automation applications, or “rApps” in industry speak. These are sophisticated tools that can learn to manage different aspects of a network. The breakthrough comes from how these tools can now work together using agentic AI to improve networks, similar to colleagues collaborating on a project.

While the technology is undeniably complex, the potential benefits for everyday mobile users are straightforward. Networks that can anticipate problems and heal themselves could mean fewer dropped calls, more consistent data speeds, and better coverage in challenging areas.

For instance, imagine you’re at a football match with 50,000 other fans all trying to use their phones. Today’s networks often buckle under such pressure. However, a smarter and more autonomous network might recognise the gathering crowd early, automatically redirect resources, and maintain service quality without requiring engineers to intervene.

While traditional networks follow precise programmed instructions, the new approach tells the network what outcome is desired – like “ensure video streaming works well in this area” – and the AI figures out how to make that happen, adjusting to changing conditions in real-time.

While terms like “intent-based networks” and “autonomous management systems” might sound like science fiction, they represent a fundamental shift in how essential services are delivered. As 5G networks continue expanding and 6G looms on the horizon, the sheer complexity of managing these systems has outgrown traditional approaches.

Mobile operators are under tremendous pressure to improve service while reducing costs; seemingly contradictory goals. Autonomous networks offer a potential solution by allowing companies to do more with less human intervention.

As our dependence on reliable connectivity grows – supporting everything from remote healthcare to education and emerging technologies like autonomous vehicles – the stakes for network performance continue to rise. The partnership between these tech giants to create self-healing mobile networks signals recognition that AI isn’t just a buzzword but a necessary evolution for critical infrastructure.

See also: NVIDIA helps Germany lead Europe’s AI manufacturing race

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VastEdge offers AWS Cloud Migration services to help businesses seamlessly move to Amazon Web Services. Enhance performance, increase security, and scale your cloud infrastructure effortlessly with our expert migration solutions. Migrate to AWS with minimal disruption and optimized efficiency.

[edufreak]

Accelerating Cloud Development: How AWS DevOps is Revolutionizing Software Delivery in 2024

In 2024, businesses are operating in an era where software delivery needs to be faster, more reliable, and more scalable than ever before. The rise of cloud computing has been central to this transformation, and AWS (Amazon Web Services) DevOps has become a key enabler of these advancements. By combining the power of cloud infrastructure with the agility of DevOps practices, AWS DevOps is revolutionizing how organizations develop, deploy, and manage applications.

What is AWS DevOps?

AWS DevOps refers to the combination of AWS’s cloud computing services and DevOps practices to facilitate faster, more efficient software development and deployment. DevOps is a set of practices that automates and integrates the processes between software development and IT operations teams, enabling them to build, test, and release software more quickly and reliably.

AWS offers a wide range of tools and services that support DevOps practices, including continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), monitoring, and logging. AWS DevOps helps businesses of all sizes adopt cloud-native technologies and streamline their software development lifecycle (SDLC) to meet the demands of the modern digital landscape.

How AWS DevOps is Revolutionizing Software Delivery in 2024

Accelerating Time-to-Market

In today’s competitive landscape, the ability to deliver new features and updates quickly is crucial for business success. AWS DevOps automates various stages of the SDLC, from code development to deployment, reducing the time it takes to release new software. With AWS services like CodePipeline, CodeDeploy, and CodeBuild, development teams can automate their CI/CD pipelines, ensuring that code is automatically tested and deployed as soon as it’s ready. This eliminates manual steps and accelerates time-to-market, allowing businesses to respond to market demands faster.

Scalability and Flexibility

AWS’s cloud infrastructure provides unparalleled scalability, allowing businesses to scale their applications up or down based on demand. When combined with DevOps practices, AWS enables organizations to dynamically adjust resources, optimize performance, and minimize costs. For example, AWS Elastic Beanstalk automatically handles the deployment, load balancing, scaling, and monitoring of applications, freeing development teams to focus on innovation rather than infrastructure management. This scalability makes AWS DevOps a powerful tool for both startups and large enterprises.

Enhanced Security and Compliance

Security is a top priority in cloud development, and AWS DevOps helps organizations integrate security into every stage of the SDLC. AWS provides a suite of security tools, such as AWS Identity and Access Management (IAM), AWS Shield, and AWS Key Management Service (KMS), which enable teams to enforce security best practices and meet compliance requirements. By incorporating DevSecOps principles, AWS DevOps ensures that security checks are automated and embedded into the CI/CD pipeline, helping organizations identify vulnerabilities early and prevent security breaches.

Infrastructure as Code (IaC)

Infrastructure as Code (IaC) is a core principle of DevOps, and AWS DevOps takes IaC to the next level with services like AWS CloudFormation and AWS CDK (Cloud Development Kit). IaC allows developers to define, provision, and manage infrastructure using code, ensuring consistency and reducing human error. With AWS CloudFormation, teams can create and deploy cloud resources using templates, while AWS CDK provides a higher-level abstraction for defining infrastructure in familiar programming languages. This approach allows for automated, repeatable infrastructure deployments, leading to more reliable and efficient operations.

Monitoring and Logging

Monitoring and logging are essential for maintaining the health and performance of applications in the cloud. AWS DevOps offers powerful monitoring tools, such as Amazon CloudWatch and AWS X-Ray, which provide real-time insights into application performance, resource utilization, and system health. These tools enable teams to detect and resolve issues quickly, minimizing downtime and ensuring a seamless user experience. Automated alerts and dashboards help operations teams stay on top of system performance, while logging services like AWS CloudTrail provide detailed audit logs for security and compliance purposes.

Cost Optimization

Cost efficiency is a critical factor in cloud development, and AWS DevOps enables organizations to optimize their cloud spending. By automating resource provisioning and scaling, AWS DevOps helps businesses ensure that they are only using the resources they need, reducing waste and lowering operational costs. Tools like AWS Cost Explorer and AWS Trusted Advisor provide insights into resource utilization and offer recommendations for optimizing costs. Additionally, the pay-as-you-go pricing model of AWS allows businesses to align their expenses with their actual usage, further enhancing cost efficiency.

Collaborative Development Environment

AWS DevOps fosters a collaborative environment between development and operations teams, breaking down silos and enabling continuous collaboration throughout the SDLC. With services like AWS CodeCommit and AWS CodeStar, teams can work together on code repositories, manage projects, and track progress in real-time. This collaborative approach ensures that everyone is aligned, reducing bottlenecks and improving overall productivity. By integrating with popular DevOps tools like GitHub, Jenkins, and Slack, AWS DevOps creates a seamless development workflow that encourages communication and collaboration.

Real-World Applications of AWS DevOps

AWS DevOps is being adopted by organizations across various industries to drive digital transformation. For example:

E-commerce platforms are using AWS DevOps to continuously deliver new features and updates, ensuring a seamless shopping experience for customers.

Healthcare providers are leveraging AWS DevOps to manage sensitive patient data securely while delivering high-performance telemedicine applications.

Financial services companies are using AWS DevOps to build scalable, secure, and compliant applications that meet regulatory requirements.

These real-world applications highlight the versatility and power of AWS DevOps in driving innovation and operational excellence.

Learn AWS DevOps and MERN Stack Development with Network Rhinos

As the demand for AWS DevOps expertise continues to rise, mastering AWS DevOps can open up exciting career opportunities. If you’re interested in learning AWS DevOps and becoming a cloud development expert, Network Rhinos offers comprehensive training in AWS DevOps course in Chennai and Bangalore.

Our AWS DevOps course is designed to provide hands-on experience with AWS services and DevOps tools, equipping you with the skills to automate software delivery, manage cloud infrastructure, and ensure security and compliance. You’ll learn how to build CI/CD pipelines, implement IaC, and optimize cloud resources, all while gaining insights from industry experts.

Additionally, if you're interested in full-stack development, our MERN Stack developer course covers MongoDB, Express.js, React.js, and Node.js, giving you the skills to build dynamic web applications from start to finish. Whether you choose AWS DevOps, MERN Stack development, or both, Network Rhinos has the courses to help you succeed in today’s cloud-driven world.

Conclusion

AWS DevOps is revolutionizing software delivery in 2024 by enabling faster, more secure, and scalable cloud development. Through automation, scalability, and security integration, AWS DevOps empowers organizations to innovate and meet the demands of the modern digital landscape. As cloud computing continues to evolve, mastering AWS DevOps is becoming essential for developers and IT professionals alike.

If you’re ready to accelerate your cloud development journey, Network Rhinos is here to help. Join our AWS DevOps or MERN Stack developer courses in Chennai or Bangalore and build a successful career in cloud and full-stack development today.

[poojalate]

How Leading Companies Are Leveraging Infrastructure as a Service (IaaS)

As businesses increasingly turn to digital solutions, Infrastructure as a Service (IaaS) has emerged as a vital component for modern enterprises. By utilizing cloud platforms, companies can enhance their agility, scalability, and cost-efficiency. This article explores infrastructure as a service examples and how leading companies are leveraging IaaS providers to drive innovation and growth.

What is Infrastructure as a Service (IaaS)?

IaaS is a cloud computing service model that delivers virtualized computing resources over the internet. It enables businesses to rent infrastructure components like servers, storage, and networking, rather than investing in physical hardware. This flexibility allows companies to scale resources according to their needs and focus on core activities without the burden of managing IT infrastructure.

1. Netflix: Enhancing Scalability and Performance

Cloud Infrastructure Examples

Netflix, the global streaming giant, leverages IaaS to manage its vast content library and ensure seamless streaming experiences for millions of users worldwide. By using IaaS providers like Amazon Web Services (AWS), Netflix can quickly scale its infrastructure to handle peak loads, such as new releases or seasonal spikes in viewership. This scalability ensures high performance and availability, crucial for maintaining customer satisfaction.

2. Airbnb: Optimizing Resource Management

IaaS Use Cases

Airbnb, the popular online marketplace for lodging, utilizes IaaS to manage its global operations. The company employs cloud services examples like dynamic scaling to match infrastructure resources with fluctuating demand. During peak travel seasons or significant events, Airbnb can scale up its infrastructure to accommodate increased traffic, ensuring reliable service and user experience.

3. Slack: Ensuring Data Security and Compliance

Cloud Platforms

Slack, a leading collaboration platform, relies on IaaS for data security and regulatory compliance. By partnering with IaaS providers like Google Cloud Platform (GCP), Slack benefits from advanced security features, including encryption and compliance with industry standards such as GDPR and HIPAA. This ensures that sensitive business communications remain secure and compliant with regulations.

4. Pinterest: Enhancing Development and Innovation

IaaS Providers

Pinterest, a visual discovery and bookmarking platform, leverages IaaS to accelerate development cycles and foster innovation. Using cloud platforms like Microsoft Azure, Pinterest provides its developers with the tools and resources needed to build, test, and deploy new features rapidly. This agile development environment supports continuous improvement and innovation.

5. Spotify: Delivering Seamless Music Streaming

Cloud Infrastructure Examples

Spotify, the music streaming service, utilizes IaaS to manage its extensive music catalog and deliver high-quality streaming experiences. By using cloud platforms like Google Cloud, Spotify ensures that users can access their favorite music anytime, anywhere. The scalable infrastructure allows Spotify to handle millions of concurrent users without compromising performance.

6. Coca-Cola: Supporting Global Operations

IaaS Use Cases

Coca-Cola, a global beverage leader, uses IaaS to support its worldwide operations. By partnering with IaaS providers like IBM Cloud, Coca-Cola manages its supply chain, customer data, and digital marketing initiatives across different regions. This integrated approach enables Coca-Cola to maintain consistency and efficiency in its global operations.

7. Twitter: Managing Real-Time Data

Cloud Services Examples

Twitter, the social media platform, leverages IaaS to manage and process vast amounts of real-time data. Using cloud platforms like AWS, Twitter can handle high volumes of tweets, mentions, and user interactions with minimal latency. This capability is crucial for delivering real-time updates and maintaining user engagement.

8. General Electric: Facilitating Industrial IoT

IaaS Providers

General Electric (GE) uses IaaS to power its Industrial Internet of Things (IIoT) initiatives. By utilizing cloud platforms like Microsoft Azure, GE connects industrial equipment and collects data to optimize performance and predict maintenance needs. This data-driven approach enhances operational efficiency and reduces downtime.

9. eBay: Ensuring High Availability

Cloud Infrastructure Examples

eBay, the e-commerce giant, employs IaaS to ensure high availability and reliability for its global marketplace. By using IaaS providers like AWS, eBay can quickly scale its infrastructure to handle large volumes of transactions and user interactions. This reliability is essential for maintaining trust and satisfaction among buyers and sellers.

10. Zoom: Supporting Remote Communication

IaaS Use Cases

Zoom, the video conferencing service, relies on IaaS to support its global user base. By leveraging cloud platforms like Oracle Cloud, Zoom ensures high-quality video and audio communication, even during peak usage times. This scalability and reliability are critical for supporting remote work and virtual events.

Conclusion

Leading companies across various industries are leveraging Infrastructure as a Service (IaaS) to enhance scalability, performance, security, and innovation. By partnering with top IaaS providers and utilizing cloud infrastructure services, these businesses can stay agile, competitive, and responsive to market demands. Whether it's optimizing resource management, ensuring data security, or supporting global operations, IaaS provides the flexibility and power needed to drive business success in the digital age.

[allcodeaws]

Software Development Services | AllCode

Looking for top-notch software development services? AllCode offers comprehensive and innovative solutions tailored to meet your business needs. Our expert team specializes in custom software development, application design, and agile development methodologies to deliver high-quality results on time and within budget. Whether you need a new software solution, system integration, or technology consulting, AllCode’s software development services are designed to help you achieve your goals efficiently and effectively. Explore how we can transform your ideas into reality with our professional software development services.

[flentas]

The Role of Cloud-Managed Services in Ensuring Data Security and Compliance

Businesses increasingly adopt cloud technology to store and manage their valuable data in the fast-paced digital landscape. As organizations rely on cloud infrastructure to support critical operations, ensuring data security and compliance becomes paramount. This is where cloud-managed services play a vital role. Flentas, an AWS consulting partner, understands the importance of data protection and offers comprehensive managed services to assist businesses in safeguarding their information and adhering to regulatory requirements. 

Understanding Cloud Managed Services: 

Cloud-managed services provide businesses with expert support and guidance in managing their cloud infrastructure. These services encompass various solutions, including monitoring, maintenance, optimization, and security. Suppose your team up with a reliable managed services provider such as Flentas. If organizations want to prioritize their core business objectives, they can benefit from the knowledge and experience of cloud technology professionals specializing in best practices. 

Data Security in the Cloud: 

Businesses from various industries prioritize data security as a crucial concern. Whether it's customer information, proprietary data, or intellectual property, organizations need assurance that their critical information remains secure and protected from unauthorized access, breaches, or other potential security threats. 

Cloud-managed services contribute significantly to data security by implementing robust security measures like encryption, access controls, and network security protocols. Flentas, as an AWS consulting partner, possesses the knowledge and experience to design and implement secure cloud architectures, ensuring that data remains safe and confidential. 

Continuous Monitoring and Threat Detection: 

Monitoring cloud infrastructure is an ongoing process that requires constant vigilance. Cloud-managed services providers employ sophisticated monitoring tools and techniques to oversee the performance and security of cloud environments. By continuously monitoring system activity, potential vulnerabilities, and security incidents, managed services providers can identify and address security threats in real time. Flentas' managed services team offers proactive monitoring and threat detection services to identify suspicious activities, enabling immediate remedial action to mitigate risks and ensure data integrity. 

Compliance with Regulatory Standards: 

Compliance with industry regulations and data protection laws is essential for businesses operating in today's interconnected world. Failing to comply with these standards can result in severe consequences, including financial penalties and reputational damage. Cloud-managed services assist organizations in meeting regulatory requirements by implementing security controls and maintaining audit trails.  

Disaster Recovery and Business Continuity: 

Unforeseen events such as natural disasters, cyberattacks, or system failures can significantly impact business operations. Cloud-managed services providers like Flentas offer disaster recovery and business continuity planning to minimize downtime and ensure the continuity of critical functions. Businesses can swiftly recover data and resume operations by leveraging cloud-based backup and recovery solutions to prevent data loss and minimize costs. 

Cost Optimization and Scalability: 

Cloud-managed services also contribute to cost optimization and scalability for businesses. By monitoring resource utilization, managing cloud instances efficiently, and implementing automation, managed service providers can help organizations optimize their cloud costs. Furthermore, managed services enable businesses to scale their infrastructure up or down per their requirements, ensuring flexibility and cost-effectiveness in managing their cloud environments. 

In today's rapidly evolving digital landscape, organizations must pay attention to their cloud infrastructure's security and compliance aspects. Cloud-managed services by Flentas, an AWS consulting partner, offer a comprehensive solution to ensure data security, continuous monitoring, compliance with regulatory standards, disaster recovery, and cost optimization. By teaming up with a reliable provider of managed services, businesses can leverage expertise and industry best practices, enabling them to focus on their core competencies while knowing that their valuable data is protected and their operations comply with relevant regulations. With Flentas' cloud-managed services, businesses can confidently navigate the complexities of cloud security and compliance, knowing they have a reliable partner to safeguard their data and support their cloud journey. 

For more details about our services please visit our website – Flentas Technologies 

[goognu1]

Goognu AWS Cloud Consulting Services: A Service for Every Organization

Goognu offers top-notch AWS Cloud Consulting Services to help businesses unlock the full potential of Amazon Web Services (AWS) and achieve their cloud computing goals. As an experienced and trusted partner, we understand the challenges that organizations face when it comes to navigating the complexities of cloud infrastructure. That's why our team of expert AWS consultants is here to provide end-to-end guidance and support, tailored to your specific needs.

[shris890]

In the ever-evolving landscape of cloud computing, two giants stand out as the go-to choices for businesses and individuals alike: Amazon Web Services (AWS) and Microsoft Azure. As organisations increasingly migrate their infrastructure to the cloud, understanding the key differences and similarities between these two leading platforms becomes crucial. In this comprehensive overview, we’ll delve into the core aspects that differentiate AWS and Azure, helping you make informed decisions about which cloud provider aligns best with your needs.

[pdcloudex21]

In the ever-evolving landscape of cloud computing, two giants stand out as the go-to choices for businesses and individuals alike: Amazon Web Services (AWS) and Microsoft Azure. As organisations increasingly migrate their infrastructure to the cloud, understanding the key differences and similarities between these two leading platforms becomes crucial. In this comprehensive overview, we’ll delve into the core aspects that differentiate AWS and Azure, helping you make informed decisions about which cloud provider aligns best with your needs.

[jcmarchi]

AI Costs Are Accelerating — Here’s How to Keep Them Under Control

New Post has been published on https://thedigitalinsider.com/ai-costs-are-accelerating-heres-how-to-keep-them-under-control/

AI Costs Are Accelerating — Here’s How to Keep Them Under Control

Cloud usage continues to soar, as do its associated costs — particularly, of late, those driven by AI. Gartner analysts predict worldwide end-user spending on public cloud services will swell to $723.4 billion in 2025, up from just under $600 billion in 2024. And 70% of executives surveyed in an IBM report cited generative AI as a critical driver of this increase.

At the same time, China’s DeepSeek made waves when it claimed it took just two months and $6 million to train its AI model. There’s some doubt whether those figures tell the whole story, but if Microsoft and Nvidia’s still-jolted share prices are any indication, the announcement woke the Western world up to the need for cost-efficient AI systems.

To date, companies have been able to treat mounting AI costs as R&D write-offs. But AI costs — especially those associated with successful products and features — will eventually hit companies’ cost of goods sold (COGS) and, consequently, their gross margins. AI innovations were always destined to face the cold scrutiny of business sense; DeepSeek’s bombshell announcement just shortened that timeline.

Just like they do with the rest of the public cloud, companies will need to manage their AI costs, including both training and consumption costs. They’ll need to connect AI spending with business outcomes, optimize AI infrastructure costs, refine pricing and packaging strategies, and maximize the return on their AI investments.

How can they do it? With cloud unit economics (CUE).

What is cloud unit economics (CUE)?

CUE comprises the measurement and maximization of cloud-driven profit. Its fundamental mechanism is connecting cloud cost data with customer demand and revenue data, revealing the most and least profitable dimensions of a business and thus showing companies how and where to optimize. CUE applies across all sources of cloud spending, including AI costs.

The foundation of CUE is cost allocation — organizing cloud costs according to who and/or what drives them. Common allocation dimensions include cost per customer, cost per engineering team, cost per product, cost per feature, and cost per microservice. Companies using a modern cost management platform often allocate costs in a framework that mirrors their business structure (their engineering hierarchy, platform infrastructure, etc.).

Then, the heart of CUE is the unit cost metric, which compares cost data with demand data to show a company their all-in cost to serve. For example, a B2B marketing company might want to calculate its “cost per 1,000 messages” sent via its platform. To do this, it would have to track its cloud costs and the number of messages sent, feed that data into a single system, and instruct that system to divide its cloud costs by its messages and graph the result in a dashboard.

Since the company started with cost allocation, it could then view its cost per 1,000 messages by customer, product, feature, team, microservice, or whatever other view it deemed reflective of its business structure.

The results:

Flexible business dimensions by which they can filter their unit cost metric, showing them which areas of their business are driving their cloud costs

An illuminating unit cost metric that shows them how efficiently they’re meeting customer demand

The ability to make targeted efficiency improvements, like refactoring infrastructure, tweaking customer contracts, or refining pricing and packaging models

CUE in the AI age

In the CUE model, AI costs are just one more source of cloud spending that can be incorporated into a business’s allocation framework. The way that AI companies disseminate cost data is still evolving, but in principle, cost management platforms treat AI costs in much the same way as they treat AWS, Azure, GCP, and SaaS costs.

Modern cloud cost management platforms allocate AI costs and show their efficiency impact in the context of unit cost metrics.

Companies should allocate their AI costs in a handful of intuitive ways. One would be the aforementioned cost per team, an allocation dimension common to all sources of cloud spending, showing the costs that each engineering team is responsible for. This is particularly useful because leaders know exactly who to notify and hold accountable when a particular team’s costs spike.

Companies might also want to know their cost per AI service type — machine learning (ML) models versus foundation models versus third-party models like OpenAI. Or, they could calculate their cost per SDLC stage to understand how an AI-powered feature’s costs change as it transitions from development to testing to staging and finally to production. A company could get even more granular and calculate its cost per AI development lifecycle stage, including data cleansing, storage, model creation, model training, and inference.

Zooming out from the weeds a bit: CUE means comparing organized cloud cost data with customer demand data and then figuring out where to optimize. AI costs are just one more source of cloud cost data that, with the right platform, fit seamlessly into a company’s overall CUE strategy.

Avoiding the COGS tsunami

As of 2024, only 61% of companies had formalized cloud cost management systems in place (per a CloudZero survey). Unmanaged cloud costs soon become unmanageable: 31% of companies — similar to the portion who don’t formally manage their costs — suffer major COGS hits, reporting that cloud costs consume 11% or more of their revenue. Unmanaged AI costs will only exacerbate this trend.

Today’s most forward-thinking organizations treat cloud costs like any other major expenditure, calculating its ROI, breaking that ROI down by their most critical business dimensions, and empowering the relevant team members with the data needed to optimize that ROI. Next-generation cloud cost management platforms offer a comprehensive CUE workflow, helping companies avoid the COGS tsunami and bolster long-term viability.

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[fallloverfic]

Thoughts on To Be Hero X Episode 10: The Truth Behind Luck

It was a really great episode :3 Made me tear up.

It was off-putting that Crunchyroll initially only released the Japanese dub. Usually there's a handful of dubs to choose from, and I always go with the Chinese dub. This time, for whatever reason, the Chinese dub wasn't available for at least the first 10 minutes or so the episode was out, and I have no idea why. I hope they don't do that next time. The good news is, the Chinese dub was available fast (by at least 30 minutes after premiere), but I almost always watch when the episode premieres at this point, and it's just odd that the Japanese dub launched first.

The opening of the episode reminded me of Cloud 9, a Marvel Comics superhero who premiered during the Avengers Initiative in 2007. Her superpower created a cloud she could fly on, and she was basically kidnapped into joining up with the Initiative and having to learn martial arts and everything else just because she had a special ability. But all she wanted to do was fly. After a while, she got turned into a sniper, which made her really cynical. Things later turned out well for her so far as I'm aware (she found stuff to do that made her happy), but it was so tragic how this kid with a fun ability - one most people wish they had just for the fun of it - got recruited to be a child soldier. I can't see Lucky Cyan being blindsided by "oh yeah your guitar is a bow now and we're going to get you combat training" without thinking of that. She's a girl who just brings good luck and wanted to live a happy life with the people she cares about, she didn't want to fight. China has a draft, but doesn't currently have mandatory military service (like South Korea), and Japan doesn't have a draft at all (enlistment is voluntary), but it's hard not to view what's happening to Lucky Cyan here, given her status as an idol, outside the lens of idols in South Korea having to take time off from their careers for mandatory military service. South Korea isn't conscripting children, but age to serve is 18-35. (Yes, Lucky Cyan would probably be exempt as an orphan, but that's beside the point, it still sucks all around)

The victim blaming stuff is so awful. The Dean blaming Lucky Cyan for his failures as an administrator - and his staff's incompetence, and perhaps a city's administrative failures - is disgusting. Yes, Fear is a power that can take over and make things worse, and maybe that piggybacked on Lucky Cyan's power, but it's such gaslighty bullshit. But I guess, in the end, it's nice to know he seemingly didn't cause that plane to crash. So, abusive monster and user of child labor, yes. Murderer? Thankfully no.

Also no, it is not your fault that someone else doesn't get hired if you get a job. That's typically a country failing its residents if people cannot have a job to support themselves, and often corporations cutting everything to the wire, harming their own workers in the process. The point is obviously to emphasize how ridiculous suddenly everyone is blaming all the bad luck on Lucky Cyan. This was an important aspect of Grandmaster of Demonic Cultivation, where gossip was shown to essentially blame all ills in existence on the current Most Hated Person just because: people like finding easy targets to blame for all their troubles rather than asking why an orphanage is so underfunded, why so many poisonings are happening (likely due to failing infrastructure not being maintained properly, job cuts, poor job training, corporate bullshit), or why the roads aren't as safe, etc.

It is sad to be proven right that Dean was telling Luo that the plane Lucky Cyan was on also had Luo's parents. Poor kids.

I'm glad Queen was supporting Lucky Cyan! That scene was sweet. Women supporting each other, you love to see it. Especially after Queen got defeated by a "nobody" lol X just coming out of nowhere. I'm sure the theorists are going to go "he beat her so she'd go give Lucky Cyan support" or something.

Lucky Cyan using her powers was a cool bit of visuals, especially the trick with parting the cars. Obviously she's got some great roller-skating skills at this point, and she's an excellent archer, and she's very good at thinking in a pinch. The car thing was neat, though. And the end with her using the marble was extra fun and beautiful.

I'm just curious what Liu Zhen's angle is, exactly. I assume he's hanging around Blonde Guy in part due to Queen's contract. But Liu Zhen is also a reporter. Or does he no longer do that? What benefit does he bring Blonde Guy if he's not reporting other than dating him? Is he secretly rich? Does he have lots of contacts from his reporting days? And why give Dean the only file on the crash? Why not keep a copy for himself? If he did keep a copy of it, was Queen unable to get it? Was Blonde Guy unable to get it? And why? He'd have no reason to keep it from them.

It's just kind of random. Although the way the episode still made Dean and Liu Zhen shippy just ends me lol I was like UP THROUGH THE END YOU GOTTA PUSH THESE TWO lol I love it.

The scene on the plane made me tear up. It was so sad. It's also a lot about humans banding together to support each other. The way they hold hands and don't put on their air masks for some reason to try to lend some last minute support to each other. Like yes, they passed on their hopes to Cyan, but there was no way they could ensure she survived, unless they all just assumed that Trust would be enough to turn their prayers into something that could protect her. They still tried to band together in their last moments. It was sad and beautiful. I don't know that this is meant to evoke things like the tragic fate of United Airlines Flight 93 (different kind of plane disaster, but a disaster all the same), but still.

Luo got to live! He got to be healed! And maybe he'll get to stick around Lucky Cyan, and they can support each other! I really hope so. He could obviously, as demonstrated by Moon, die at some later tragic point, but for now, he's fine! They're so cute together T-T

It's left kind of vague if Luo's ability is Fear or if the force was just present and maybe he and/or Dean used it. Curious what'll come of that. I really hope the Dean got arrested for child abuse.

Curious if Mr. Shang/Shand is still preparing to murder Rock. I guess we'll see :D

Generally, a big part of the episode was believing in people and supporting them, hoping, and human compassion. And I think that's a lovely thing.

Looking forward to Queen's arc in Episode 11!

We got Hero Smile and X in the preview! Exciting times!

More thoughts:

Episode 1, Episode 2, Episode 3, Episode 4, Episode 5, Episode 6, Episode 7, Episode 8, Episode 9, Episode 10 (You are here), Episode 11, Episode 12