#no code native app

[jcmarchi]

The concerted effort of maintaining application resilience

New Post has been published on https://thedigitalinsider.com/the-concerted-effort-of-maintaining-application-resilience/

The concerted effort of maintaining application resilience

Back when most business applications were monolithic, ensuring their resilience was by no means easy. But given the way apps run in 2025 and what’s expected of them, maintaining monolithic apps was arguably simpler.

Back then, IT staff had a finite set of criteria on which to improve an application’s resilience, and the rate of change to the application and its infrastructure was a great deal slower. Today, the demands we place on apps are different, more numerous, and subject to a faster rate of change.

There are also just more applications. According to IDC, there are likely to be a billion more in production by 2028 – and many of these will be running on cloud-native code and mixed infrastructure. With technological complexity and higher service expectations of responsiveness and quality, ensuring resilience has grown into being a massively more complex ask.

Multi-dimensional elements determine app resilience, dimensions that fall into different areas of responsibility in the modern enterprise: Code quality falls to development teams; infrastructure might be down to systems administrators or DevOps; compliance and data governance officers have their own needs and stipulations, as do cybersecurity professionals, storage engineers, database administrators, and a dozen more besides.

With multiple tools designed to ensure the resilience of an app – with definitions of what constitutes resilience depending on who’s asking – it’s small wonder that there are typically dozens of tools that work to improve and maintain resilience in play at any one time in the modern enterprise.

Determining resilience across the whole enterprise’s portfolio, therefore, is near-impossible. Monitoring software is silo-ed, and there’s no single pane of reference.

IBM’s Concert Resilience Posture simplifies the complexities of multiple dashboards, normalizes the different quality judgments, breaks down data from different silos, and unifies the disparate purposes of monitoring and remediation tools in play.

Speaking ahead of TechEx North America (4-5 June, Santa Clara Convention Center), Jennifer Fitzgerald, Product Management Director, Observability, at IBM, took us through the Concert Resilience Posture solution, its aims, and its ethos. On the latter, she differentiates it from other tools:

“Everything we’re doing is grounded in applications – the health and performance of the applications and reducing risk factors for the application.”

The app-centric approach means the bringing together of the different metrics in the context of desired business outcomes, answering questions that matter to an organization’s stakeholders, like:

Will every application scale?

What effects have code changes had?

Are we over- or under-resourcing any element of any application?

Is infrastructure supporting or hindering application deployment?

Are we safe and in line with data governance policies?

What experience are we giving our customers?

Jennifer says IBM Concert Resilience Posture is, “a new way to think about resilience – to move it from a manual stitching [of other tools] or a ton of different dashboards.” Although the definition of resilience can be ephemeral, according to which criteria are in play, Jennifer says it’s comprised, at its core, of eight non-functional requirements (NFRs):

Observability

Availability

Maintainability

Recoverability

Scalability

Usability

Integrity

Security

NFRs are important everywhere in the organization, and there are perhaps only two or three that are the sole remit of one department – security falls to the CISO, for example. But ensuring the best quality of resilience in all of the above is critically important right across the enterprise. It’s a shared responsibility for maintaining excellence in performance, potential, and safety.

What IBM Concert Resilience Posture gives organizations, different from what’s offered by a collection of disparate tools and beyond the single-pane-of-glass paradigm, is proactivity. Proactive resilience comes from its ability to give a resilience score, based on multiple metrics, with a score determined by the many dozens of data points in each NFR. Companies can see their overall or per-app scores drift as changes are made – to the infrastructure, to code, to the portfolio of applications in production, and so on.

“The thought around resilience is that we as humans aren’t perfect. We’re going to make mistakes. But how do you come back? You want your applications to be fully, highly performant, always optimal, with the required uptime. But issues are going to happen. A code change is introduced that breaks something, or there’s more demand on a certain area that slows down performance. And so the application resilience we’re looking at is all around the ability of systems to withstand and recover quickly from disruptions, failures, spikes in demand, [and] unexpected events,” she says.

IBM’s acquisition history points to some of the complimentary elements of the Concert Resilience Posture solution – Instana for full-stack observability, Turbonomic for resource optimization, for example. But the whole is greater than the sum of the parts. There’s an AI-powered continuous assessment of all elements that make up an organization’s resilience, so there’s one place where decision-makers and IT teams can assess, manage, and configure the full-stack’s resilience profile.

The IBM portfolio of resilience-focused solutions helps teams see when and why loads change and therefore where resources are wasted. It’s possible to ensure that necessary resources are allocated only when needed, and systems automatically scale back when they’re not. That sort of business- and cost-centric capability is at the heart of app-centric resilience, and means that a company is always optimizing its resources.

Overarching all aspects of app performance and resilience is the element of cost. Throwing extra resources at an under-performing application (or its supporting infrastructure) isn’t a viable solution in most organizations. With IBM, organizations get the ability to scale and grow, to add or iterate apps safely, without necessarily having to invest in new provisioning, either in the cloud or on-premise. Plus, they can see how any changes impact resilience. It’s making best use of what’s available, and winning back capacity – all while getting the best performance, responsiveness, reliability, and uptime across the enterprise’s application portfolio.

Jennifer says, “There’s a lot of different things that can impact resilience and that’s why it’s been so difficult to measure. An application has so many different layers underneath, even in just its resources and how it’s built. But then there’s the spider web of downstream impacts. A code change could impact multiple apps, or it could impact one piece of an app. What is the downstream impact of something going wrong? And that’s a big piece of what our tools are helping organizations with.”

You can read more about IBM’s work to make today and tomorrow’s applications resilient.

[webtechnoedgesolutions1]

We present a specific strategy on the basis of which the design and development of the Mobile Application Development Service in Dwarka . Our team of mobile app development consultants work with a team of UX and UI designers to ensure the best user experience while providing an excellent intuitive user interface. We study the latest industry trends and technologies, as well as proven techniques in the design of our mobile applications, ensuring a smooth, simple and aesthetic final prototype.

[samanthablake02]

How App Interface Design Is Evolving with AI and User-Centric UX Trends

App Interface Design's Evolution: AI and User-Centric UX Trends Consider this: The average smartphone user touches their device over 2,600 times a day. For heavy users, that figure soars past 5,400. Each tap, swipe, and pinch interacts directly with an interface designed to guide them. But are those interfaces truly serving users in 2025, amidst accelerating technological user-centric UX trends and the pervasive influence of AI in design? The traditional ways we conceived of and built interfaces are rapidly transforming, driven by sophisticated algorithms and a renewed, imperative focus on authentic user-centric design.

The AI Paradigm Shift in Interface Creation

Artificial intelligence isn't merely a tool add-on; it signifies a profound paradigm shift in how we approach the very foundations of app interface design. Overtly, AI automates routine tasks. Subtly, it augments creativity, analyzes colossal datasets with unprecedented alacrity, and stands poised to recalibrate the designer's role entirely. This isn't science fiction anymore; it's the operating reality for forward-thinking design teams.

AI Assisting Design Workflows

Integrating AI assistance into workflows offers tangible improvements in efficiency and opens avenues for novel design possibilities.

Automation of Repetitive Tasks: Tedious activities such as image slicing, code generation for basic components, or initial layout variations can be handled by AI. This frees designers to concentrate on more complex problem-solving, creative conceptualization, and strategic thinking. Think of AI not as replacement, but as a highly efficient junior assistant handling the groundwork.

Generating Design Variations: Based on established brand guidelines, user data, or even initial wireframes, AI algorithms can generate a myriad of design options in moments. This velocity allows for rapid iteration and comparative analysis, potentially unveiling design directions a human might not have considered within the same timeframe.

Predictive Analytics for User Behavior: AI's capacity to sift through vast quantities of usage data identifies patterns and predicts user actions with increasing accuracy. This predictive power directly informs design decisions, allowing interfaces to pre-empt user needs or present information most relevant to an individual's predicted journey within the application.

Ethical Considerations and Bias Mitigation

As AI becomes more entrenched in the design process, acknowledging and actively mitigating inherent biases is absolutely paramount. AI models are trained on data, and if that data reflects societal biases (racial, gender, ability, etc.), the AI will perpetuate them in its design outputs.

Vigilance is required to audit the data sources used for AI training.

Testing AI-generated designs across diverse user demographics is crucial to identify and rectify unfair or exclusionary outcomes.

Maintaining human oversight in crucial decision points of the design process safeguards against automated discrimination or ethically questionable design patterns. Designers become stewards, ensuring the AI serves human well-being and inclusivity.

The Core of User-Centricity in 2025

While technology sprints ahead, the raison d'être of design remains constant: serving the user. User-centric UX trends are less about adopting flashy tech and more about a deeply empathetic approach that prioritizes genuine human needs, contexts, and emotions. In 2025, "user-centric" holds a more nuanced, sophisticated meaning than ever before.

Understanding Evolving User Needs

User expectations aren't static; they morph with technological fluency and societal shifts. A truly user-centric design understands this fluidity.

Hyper-Personalization: Beyond simply using a user's name, personalization now demands interfaces that adapt content, features, and even visual style based on real-time context, historical usage, preferences, and predicted needs. This requires a granular understanding of individual users, facilitated by AI analysis.

Accessibility as a Universal Standard: Designing for accessibility is no longer an afterthought or an optional feature; it is a fundamental requirement. This encompasses not only compliance with guidelines (like WCAG) but designing intuitively for users with diverse cognitive, visual, auditory, and motor abilities from the outset. Inaccessible design effectively excludes large potential user bases.

Emotional Design (Kansei UX): Moving beyond usability, designers now consider the emotional resonance of an interface. Does it feel joyful, trustworthy, calming, exciting? Kansei engineering, originating in Japan, studies how users feel about products. Applying these principles to app interface design fosters deeper user engagement and loyalty by consciously eliciting positive emotional responses.

Measuring and Iterating on User Experience

Good design isn't guesswork; it's an iterative process informed by data and direct user feedback. Measuring the efficacy of designs is foundational to refinement.

Employing robust analytics to track user flows, completion rates, points of friction, and feature engagement.

Conducting diverse forms of user research: usability testing, interviews, surveys, and contextual inquiries.

Utilizing A/B testing and multivariate testing to compare design variations head-to-head based on quantifiable user behavior metrics.

Establishing continuous feedback loops, allowing designers to remain responsive to evolving user sentiments and needs over the product lifecycle.

Synergizing AI and User-Centric Approaches

The true power emerges not from choosing between AI-driven or user-centric design, but by strategically intertwining them. AI, when wielded through a user-centric lens, can elevate interfaces to new heights of relevance, adaptability, and intuitiveness. Conversely, user-centric design principles provide the ethical and humanistic framework that prevents AI from creating sterile, unhelpful, or biased interfaces. This confluence marks the frontier of advanced app interface design.

Designing Adaptive Interfaces

Adaptive interfaces change dynamically based on individual users, their context, and even their momentary state. AI is the engine that makes this feasible on a large scale.

Real-time Customization via AI: Imagine an interface that changes button size for a user walking in bright sunlight, or adjusts complexity for a novice versus an expert user within the same application. AI processes data streams (device sensors, usage history, explicit preferences) to make these interface adjustments happen in the moment.

Contextual Awareness: An interface that knows you're driving might simplify controls; one that knows you're in a quiet library might suggest different features. AI enables applications to understand and react to the user's current environmental and situational context, presenting information and interactions most appropriate to that specific scenario.

Leveraging AI for Deeper User Insights

AI's analytical capabilities allow us to move beyond simple clickstream data to glean profound insights into user motivations, difficulties, and implicit desires.

Beyond Basic Analytics: Instead of just seeing where users click, AI can help understand why they might be hesitating at a certain point, what task they are likely attempting based on partial actions, or how their usage patterns compare to others with similar profiles.

Identifying Implicit Needs: Users often struggle to articulate exactly what they need or want. AI can analyze vast datasets – including user support interactions, social media sentiment, and aggregate usage patterns – to uncover latent needs or points of frustration that users themselves haven't explicitly mentioned.

Building Trust in AI-Powered UX

As AI's role becomes more overt (e.g., a chatbot, a recommendation engine, an interface that visibly rearranges itself), building and maintaining user trust becomes critical.

Transparency in AI Decisions: Users appreciate knowing why something is being recommended, why the interface changed, or why certain options are presented. Explaining the basis of an AI-driven interaction fosters confidence. Avoid 'black box' scenarios where the AI's actions seem arbitrary.

Maintaining Human Oversight: For critical decisions or sensitive interactions, the system should allow for human intervention or fallback options. Users need assurance that they aren't solely at the mercy of an algorithm and can access human support if needed. This hybrid approach leverages AI's strengths while providing a safety net and building trust.

Practical Guide: Navigating the Evolution

Making this transition isn't automatic. It requires a deliberate approach to strategy, a willingness to adapt, and a proactive stance against common pitfalls. Think of this section as laying out actionable considerations for design teams in 2025.

Strategies for Adoption

Successfully integrating AI in design and doubling down on user-centric design demands a multifaceted strategy.

Education and Upskilling: Design teams require new literacies. Understanding basic AI concepts, data interpretation, ethical AI principles, and advanced research methodologies are no longer niche skills; they are becoming foundational. Organizations must invest in continuous learning.

Iterative AI Integration: Do not attempt a monolithic overhaul. Begin by integrating AI into specific, well-defined areas of the design workflow or user experience where its value is clearest (e.g., content personalization, component generation, preliminary usability analysis). Learn from these early efforts and expand incrementally.

Collaboration (Designers, Data Scientists, Users): The future of design is profoundly collaborative. Designers must work hand-in-hand with data scientists to understand the potential and limitations of AI. Critically, users must be involved throughout the process – not just as passive subjects of analysis, but as active participants providing feedback on AI-driven features and adaptive interfaces.

Common Pitfalls to Avoid

The path is fraught with potential missteps. Awareness prevents stumbling.

Over-Reliance on AI: Allowing AI to dictate design without human critique risks generic, soulless interfaces that lack true creativity or empathetic understanding. AI should augment, not supplant, human design intelligence.

Neglecting Human Testing: Believing AI analysis replaces direct human user research is a grave error. AI reveals patterns; qualitative user testing reveals why those patterns exist, uncovers nuances, and captures emotional responses AI cannot.

Ignoring Ethical Implications: Deploying AI-powered interfaces without rigorous ethical vetting can lead to biased experiences, erosion of user trust, and potential reputational damage. Prioritize fairness, transparency, and user control from concept to deployment.

Expert Perspectives and Future Trajectories

Looking ahead, the evolution promises interfaces that are profoundly intuitive, adapting not just to explicit commands but implicit desires and cognitive states. A prominent design leader remarked, "We are moving from interfaces a user learns to navigate, to interfaces that learn the user. The system adapts to you, not the other way around." Another researcher commented, "Ethical frameworks are no longer peripheral; they are the bedrock upon which we build AI-augmented experiences. Without trust and fairness, sophisticated interfaces will simply fail." Emerging areas like Neuro-adaptive UX, which seeks to interpret cognitive signals to tailor interfaces in real-time, or the integration of AR/VR elements facilitated by AI's spatial understanding, signal even more profound shifts on the horizon. The focus will intensify on creating interfaces that feel less like tools and more like seamless extensions of human thought and intent. My personal perspective is that while the technical possibilities are nearly boundless, the most impactful interfaces will be those that remain grounded in empathy, equity, and genuine value creation for the end-user, resisting the temptation of technology for technology's sake.

Key Takeaways

App interface design is fundamentally changing due to AI and refined user-centric UX trends.

AI automates design tasks, generates options, and predicts user behavior, requiring new ethical vigilance.

User-centric design in 2025 mandates deep personalization, universal accessibility, and attention to emotional response.

The synergy of AI and user-centric design enables adaptive, contextually aware interfaces and deeper user insights.

Success requires educating teams, integrating AI iteratively, fostering collaboration, and diligently avoiding pitfalls like neglecting human testing.

The future points toward even more intuitive, perhaps even cognitively aware, interfaces, demanding a persistent focus on ethical, human-first design principles.

Frequently Asked Questions

How is artificial intelligence changing the design role?

AI Automates Mundane Tasks in Design The role pivots from execution toward strategic oversight, prompt crafting, and ensuring ethical outcomes.

What defines contemporary user focus in design today?

Emphasis Placed on Personalized Experiences and Access Design prioritizes individual needs, real-time context, comprehensive accessibility, and emotional impact.

What specific ways does AI benefit user analysis?

AI Provides Deeper Analytical Viewpoints Beyond clicks, it aids in understanding why actions occur, predicting needs, and revealing unspoken frustrations.

Are there major risks integrating artificial intelligence in user interface?

Key Concerns Include Bias and Reliance Excess Risks involve perpetuating data biases, neglecting human insight, and creating interfaces lacking emotional depth.

How should teams prepare for shifts in interface building?

Teams Must Learn Adapt and Stay Current Prepare through continuous education, iterative AI integration trials, and robust interdisciplinary cooperation efforts.

Recommendations

To effectively navigate the dynamic evolution of app interface design, prioritizing adaptation and learning is paramount. Embrace the potential of AI in design as a powerful collaborator, not a replacement. Simultaneously, deepen your commitment to user-centric design, anchoring every technological stride in genuine human needs and experiences. Focus on building ethical safeguards into your process from the outset. The fusion of intelligent systems and profound empathy will define the most impactful and successful interfaces of the future. Ready to future-proof your design strategy and create truly adaptive, user-loved applications? Connect with our team today to explore how leveraging the latest trends can elevate your product experience.

[young1decade]

Build High-Quality Flutter & React Native Apps in Indore with Young Decade

Looking for high-quality Flutter & React Native app development in Indore? Young Decade, a leading mobile app development company, specializes in creating fast, scalable, and user-friendly applications that help businesses grow in the digital age. Our expert team ensures your app is not only visually appealing but also delivers top-notch performance across all platforms.

Why Choose Young Decade for Flutter & React Native Development?

✔ Custom App Solutions – We build tailored mobile apps to meet your unique business requirements. ✔ Cross-Platform Compatibility – One codebase, multiple platforms! Get a seamless experience on Android and iOS. ✔ Optimized Performance – Our apps are designed for speed, efficiency, and smooth functionality. ✔ Cost-Effective Development – We offer affordable app solutions without compromising on quality. ✔ Scalable & Future-Ready – Our React Native & Flutter apps are built to grow with your business.

At Young Decade, we focus on delivering cutting-edge mobile applications that enhance user experience and drive business success. Whether you're a startup, enterprise, or entrepreneur, our custom Flutter & React Native app development services ensure seamless functionality, intuitive UI/UX, and long-term scalability.

Let’s Build Your Next-Gen Mobile App!

Partner with Young Decade, Indore’s trusted app development company, and transform your business with high-quality Flutter & React Native apps. Contact us today and get started! 🚀

[softwarefrim]

Top Frameworks for Cross-Platform App Development in 2025

The best cross-platform frameworks in 2025 will help you develop apps that run smoothly on all platforms while saving time, cost, and resources.

[yethiconsulting]

How to Test iOS Apps on Multiple Devices: A Step-by-Step Guide

Introduction: Testing iOS apps on multiple devices ensures compatibility across different screen sizes, OS versions, and hardware configurations. Here’s a step-by-step guide to help you efficiently test your iOS app on various devices.

1. Choose Testing Devices:

Identify the most popular iOS devices your users are likely to use. Ensure a mix of iPhones, iPads, and different iOS versions to cover a wide range of configurations. Use real devices for more accurate results, or cloud-based device farms like BrowserStack and AWS Device Farm for scalability.

2. Set Up Xcode and Simulators:

Install the latest version of Xcode, Apple’s integrated development environment (IDE). Use Xcode’s built-in simulators to emulate multiple iOS devices and test basic app functionality on different screen sizes.

3. Automate with XCUITest or Appium:

Use no code test automation tools like XCUITest for testing on physical devices and simulators within Xcode. Alternatively, use Appium for cross-platform automation, running tests across multiple iOS devices in parallel.

4. Use Device Farms:

For large-scale testing, cloud-based device farms like Kobiton or Sauce Labs allow you to run automated tests on a wide range of iOS devices, providing real-world results.

5. Monitor and Debug:

Track performance, crashes, and compatibility issues using Xcode’s Debug Console and Instruments. Review results and make necessary changes for compatibility.

Conclusion:

Testing iOS apps on multiple devices ensures smooth performance across various environments, leading to a more reliable and user-friendly app experience.

[surya-kulshreshtha]

[emorejaysoftware]

Is Flutter better than React Native in 2024?

In 2024, the choice between Flutter and React Native isn't clear-cut as each has its distinct advantages. Flutter excels with faster development, superior performance, and a consistent UI, making it ideal for visually demanding applications. Meanwhile, React Native benefits from a larger community, extensive libraries, and a versatile codebase, providing a robust solution for diverse project needs. Ultimately, the best framework depends on your project's specific requirements and your development team's expertise. #Flutter #ReactNative #MobileDevelopment #AppDevelopment #TechTrends2024

[flutteragency]

Flutter for Web App Development: Exploring the Possibilities

In any area regarding computers, web development is constantly evolving constantly and picking the proper framework to make or break many projects. Flutter is an app that was designed for mobilized platforms; it is now supported by web development and offers choices to developers and businesses.

Being an innovative framework that is known to be proficient in the area of mobile application development, Flutter has made its ability functional on the web, which has brought out several possibilities. It’s estimated that around 85% of Flutter developers are building applications for multiple cross-platform app development concurrently.

This article focuses on the easy adjustment of Flutter technology, whereby developers can build innovative and adaptable web applications using only one codebase. Flutter Agency is the best platform to find Flutter developers with high experience and an affordable pricing model.

What’s flutter web?

Besides the fact that Flutter Web can be seen to extend Google’s UI software for web development called Flutter, Flutter Web, formerly designed for radio parts created in iOS and Android applications, allows designers to build web apps with the same source code. 

The single codebase, which is used for mobile and web platforms, together with responsiveness that looks beautiful as a result, signifies how Flutter developers can develop great-looking apps that work well across all devices.

What are the characteristics of Flutter Web?

Single codebase:

Code built in Flutter Web allows for code once as well as delivering it across platforms. Flutter’s homogenized code-ends for mobile and web apps encourage code reuse ability, commonality.

Declarative UI:

The way that Flutter renders its UI is from the declarative methodology of its developers by describing how to use the interface they need. This approach ensures consistency in appearance and using the same models across devices with major emphasis on browsers. 

Hot reload:

The first unique trait that Flutter Web has is the Hot Reload signature. With this tool, developers can view every change right away which allows them to develop through iterations and troubleshooting at higher speeds.

Access native features:

Thanks to the use of WEB server in Flutter, developers can take advantage of native browser features and APIs that provide geolocation location blocking camera access and so forth.

Optimizing performance: 

Flutter uses Dart programming along with JIT/AOT compilation to achieve this feature. This fastens up the launch and enhances functionalities such that online apps are smooth and interactive.

How did flutter evolve?

Google uncovered a mobile application creation tool that goes by the name Flutter. Known for its advanced nature, being outlined with an incredible database and beautiful features, making this framework more powerful compared to other applications due to the multiple fliers it consists of. 

Developers are enabled to build a one codebase rooted web app which, in response, ensures scalability and both contemporary features. At that moment the game expanded by providing Flutter developer tools to implement Flutter code on mobile as well online platforms.

Advantages of hiring flutter web app developers

Unified codebase, smooth experience:

One of the most notable advantages that come with using Flutter to build web apps is its ability to help programmers keep a reliable codebase. Save time, energy and task both by writing code once and distributing it on platforms. This straightforward approach ensures consistent design, functionality, as well as user engagements keeping application management and updates manageable.

Engaging, responsive UIs:

With the declarative UI paradigm of flutter, developers are able to build presentation software that responds and is very beautiful. Possessing a broad range of customizable widgets enables the framework facilitates layouts to adapt accordingly to differ perceivable sizes of the screen making it convenient for users device-friendly ultimately.

Proficient in flutter development:

The Flutter project completion can be checked on the persons’ portfolio. Check the developers’ skills, qualifications, and previous projects in order to verify their expertise.

References and client reviews:

Learn how the company communicates through client testimonials, its project management is learned from and what the clients are satisfied with. Or ask for references from past clients to which one can refer students for discussing their Flutter development business lives.

Development process & methodology:

Inquire why the company used a given development operating system technique. Cherishing transparency and clarity of project deliverance should be mandatory. The whole development process should remain dedicated to the practices of industry standards, rigorous testing, and regular updates.

Cross-platform experience:

Check the history of Flutter cross-platform development that is owned by the company. The cross-platform infrastructure is required for projects to the technologies by combination of iOS and Android or an activity which represents a solitary code-base.

Technical tools and stack:

Utilize only newer versions of Flutter and the recent updates in development tools for the organization. When you perform the verification, check their coding standards to ensure proper scaling and maintainability.

Effective communication and collaboration:

The only way to have a successful development collaboration is through the sort of effective communication that you describe. Communicate accordingly in terms of transparency. ask about collaboration tools, project management systems and the facility to allow or notify updates from clients.

Scalability and future support:

Assess how supportive the company is to your app’s growth. Mention updates of post-development, information on new specifications and coverage concerning the repairs. Ask about maintenance and support that are post launch related concerns and updates.

Conclusion

Flutter has changed the manner of when cross-platform developers must approach web apps. The fact that Flutter is diverse makes it easier for one to have a cross-platform experience because this language allows crafting web applications efficiently. 

The noise is now even louder in business spheres to hire Flutter app developers as they strive to find their bearings in this virtual world. These include a unified coding environment, flexible interface and incorporation of native tools for creating wholesome applications suitable to the modern web. 

With a growing ecosystem, businesses and developers can utilize this feature within the web development domain provided by Flutter. Flutter is assured of creativity and efficiency among the developers regardless of their proficiency levels when developing for the web.

[jcmarchi]

Sentra Secures $50M Series B to Safeguard AI-Driven Enterprises in the Age of Shadow Data

New Post has been published on https://thedigitalinsider.com/sentra-secures-50m-series-b-to-safeguard-ai-driven-enterprises-in-the-age-of-shadow-data/

Sentra Secures $50M Series B to Safeguard AI-Driven Enterprises in the Age of Shadow Data

In a landmark moment for data security, Sentra, a trailblazer in cloud-native data protection, has raised $50 million in Series B funding, bringing its total funding to over $100 million. The round was led by Key1 Capital with continued support from top-tier investors like Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures.

This new investment arrives at a pivotal time, with AI adoption exploding across enterprises and bringing with it a tidal wave of sensitive data—and new security risks. Sentra, already experiencing 300% year-over-year growth and seeing fast adoption among Fortune 500 companies, is now doubling down on its mission: empowering organizations to innovate with AI without compromising on data security.

The AI Boom’s Dark Side: Unseen Risks in “Shadow Data”

While AI opens doors to unprecedented innovation, it also introduces a hidden threat—shadow data. As companies rush to harness the power of GenAI, data scientists and engineers frequently duplicate, move, and manipulate data across environments. Much of this activity flies under the radar of traditional security tools, leading to invisible data sprawl and growing compliance risks.

Gartner predicts that by 2025, GenAI will drive a 15% spike in data and application security spending, as organizations scramble to plug these emerging gaps. That’s where Sentra comes in.

What Makes Sentra Different?

Sentra’s Cloud-Native Data Security Platform (DSP) doesn’t just bolt security onto existing infrastructure. Instead, it’s designed from the ground up to autonomously discover, classify, and secure sensitive data—whether it lives in AWS, Azure, Google Cloud, SaaS apps, on-prem servers, or inside your AI pipeline.

At the heart of Sentra’s platform is an AI-powered classification engine that leverages large language models (LLMs). Unlike traditional data scanning tools that rely on fixed rules or predefined regex, Sentra’s LLMs understand the business context of data. That means they can identify sensitive information even in unstructured formats like documents, images, audio, or code repositories—with over 95% accuracy.

Importantly, no data ever leaves your environment. Sentra runs natively in your cloud or hybrid environment, maintaining full compliance with data residency requirements and avoiding any risk of exposure during the scanning process.

Beyond Classification: A Full Security Lifecycle

Sentra’s platform combines multiple layers of data security into one unified system:

DSPM (Data Security Posture Management) continuously assesses risks like misconfigured access controls, duplicated sensitive data, and misplaced files.

DDR (Data Detection & Response) flags suspicious activity in real-time—such as exfiltration attempts or ransomware encryption—empowering security teams to act before damage occurs.

DAG (Data Access Governance) maps user and application identities to data permissions and enforces least privilege access, a key principle in modern cybersecurity.

This approach transforms the once-static notion of data protection into a living, breathing security layer that scales with your business.

Led by a World-Class Cybersecurity Team

Sentra’s leadership team reads like a who’s who of Israeli cyber intelligence:

Asaf Kochan, President, is the former Commander of Unit 8200, Israel’s elite cyber intelligence unit.

Yoav Regev, CEO, led the Cyber Department within Unit 8200.

Ron Reiter, CTO, is a serial entrepreneur with deep technical expertise.

Yair Cohen, VP of Product, brings years of experience from Microsoft and Datadog.

Their shared vision: to reimagine data security for the cloud- and AI-first world.

And the market agrees. Sentra was recently named both a Leader and Fast Mover in the GigaOm Radar for Data Security Posture Management (DSPM), underscoring its growing influence in the security space.

Building a Safer Future for AI

The $50 million boost will allow Sentra to scale its operations, grow its expert team, and enhance its platform with new capabilities to secure GenAI workloads, AI assistants, and emerging data pipelines. These advancements will provide security teams with even greater visibility and control over sensitive data—across petabyte-scale estates and AI ecosystems.

“AI is only as secure as the data behind it,” said CEO Yoav Regev. “Every enterprise wants to harness AI—but without confidence in their data security, they’re stuck in a holding pattern. Sentra breaks that barrier, enabling fast, safe innovation.”

As AI adoption accelerates and regulatory scrutiny tightens, Sentra’s approach may very well become the blueprint for modern enterprise data protection. For businesses looking to embrace AI with confidence, Sentra offers something powerful: security that moves at the speed of innovation.

[young1decade]

Custom Flutter & React Native App Solutions in Indore – Young Decade Experts

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[thatonegreenleaf]

🩸~orin~ hair & headpiece! 🩸

hi everyone! I made orin the red's hair from baldur's gate 3 bc i needed my sims to have a voluminous braid this long. I also converted the headpiece she wears, for the whole package of everyone's favourite bhaalspawn (except maybe your own character bc same)

my orin sim is wearing her in game outfit beautifully converted by @lady-moriel which you can download here! (you can also grab her conversion of orin's headpiece, it fits a bit differently so you can have options!). and if you want orin’s mesh directly from bg3, I downloaded that here!

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ORIN HAIR & HEADPIECE:

♥ base game compatible!

♥ teen-elder, feminine & masculine frames

♥ hair: 24 maxis swatches + 8 bonus swatches. headpiece: 5 swatches

♥ hat compatible (headpiece in the hat category)

♥ high-ish poly! hair: 13.9k, headpiece 11.1k

♥ due to the nature of the sims 4 not natively having hairs this long, you can expect some clipping/stiffness at any length beyond the waist, but it's mostly ignorable!

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Follow me on twitch!

Support me on patreon!

⇢ download: simfileshare | patreon

♥ this uses part of the wispy hairline by @rheallsim ♥

use my code "THATONEGREENLEAF" when you buy packs in the EA app to directly support me! ♥ (not a discount code, I wish!) #EApartner

I DO CUSTOM CAS ROOM (and other) COMMISSIONS! fill out my commission form ♥ (currently closed, will open again very soon!)

TOU: do not claim my cc/CAS rooms/presets as your own! recolour/convert/otherwise alter for personal use OR upload with credit. (no paywalls, no c*rseforge)