IPv6.net https://ipv6.net/ The IPv6 and IoT Resources Wed, 11 Feb 2026 16:37:04 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.1 Kimwolf Botnet Swamps Anonymity Network I2P https://ipv6.net/news/kimwolf-botnet-swamps-anonymity-network-i2p/ Wed, 11 Feb 2026 16:37:04 +0000 https://ipv6.net/?p=2899621 For the past week, the massive “Internet of Things” (IoT) botnet known as Kimwolf has been disrupting The Invisible Internet Project (I2P), a decentralized, encrypted communications network designed to anonymize and secure online communications. I2P users started reporting disruptions in the network around the same time the Kimwolf botmasters began relying on it to evade […]

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For the past week, the massive “Internet of Things” (IoT) botnet known as Kimwolf has been disrupting The Invisible Internet Project (I2P), a decentralized, encrypted communications network designed to anonymize and secure online communications. I2P users started reporting disruptions in the network around the same time the Kimwolf botmasters began relying on it to evade takedown attempts against the botnet’s control servers.

Kimwolf is a botnet that surfaced in late 2025 and quickly infected millions of systems, turning poorly secured IoT devices like TV streaming boxes, digital picture frames and routers into relays for malicious traffic and abnormally large distributed denial-of-service (DDoS) attacks.

I2P is a decentralized, privacy-focused network that allows people to communicate and share information anonymously.

“It works by routing data through multiple encrypted layers across volunteer-operated nodes, hiding both the sender’s and receiver’s locations,” the I2P website explains. “The result is a secure, censorship-resistant network designed for private websites, messaging, and data sharing.”

On February 3, I2P users began complaining on the organization’s GitHub page about tens of thousands of routers suddenly overwhelming the network, preventing existing users from communicating with legitimate nodes. Users reported a rapidly increasing number of new routers joining the network that were unable to transmit data, and that the mass influx of new systems had overwhelmed the network to the point where users could no longer connect.

I2P users complaining about service disruptions from a rapidly increasing number of routers suddenly swamping the network.

When one I2P user asked whether the network was under attack, another user replied, “Looks like it. My physical router freezes when the number of connections exceeds 60,000.”

A graph shared by I2P developers showing a marked drop in successful connections on the I2P network around the time the Kimwolf botnet started trying to use the network for fallback communications.

The same day that I2P users began noticing the outages, the individuals in control of Kimwolf posted to their Discord channel that they had accidentally disrupted I2P after attempting to join 700,000 Kimwolf-infected bots as nodes on the network.

The Kimwolf botmaster openly discusses what they are doing with the botnet in a Discord channel with my name on it.

Although Kimwolf is known as a potent weapon for launching DDoS attacks, the outages caused this week by some portion of the botnet attempting to join I2P are what’s known as a “Sybil attack,” a threat in peer-to-peer networks where a single entity can disrupt the system by creating, controlling, and operating a large number of fake, pseudonymous identities.

Indeed, the number of Kimwolf-infected routers that tried to join I2P this past week was many times the network’s normal size. I2P’s Wikipedia page says the network consists of roughly 55,000 computers distributed throughout the world, with each participant acting as both a router (to relay traffic) and a client.

However, Lance James, founder of the New York City based cybersecurity consultancy Unit 221B and the original founder of I2P, told KrebsOnSecurity the entire I2P network now consists of between 15,000 and 20,000 devices on any given day.

An I2P user posted this graph on Feb. 10, showing tens of thousands of routers — mostly from the United States — suddenly attempting to join the network.

Benjamin Brundage is founder of Synthient, a startup that tracks proxy services and was the first to document Kimwolf’s unique spreading techniques. Brundage said the Kimwolf operator(s) have been trying to build a command and control network that can’t easily be taken down by security companies and network operators that are working together to combat the spread of the botnet.

Brundage said the people in control of Kimwolf have been experimenting with using I2P and a similar anonymity network — Tor — as a backup command and control network, although there have been no reports of widespread disruptions in the Tor network recently.

“I don’t think their goal is to take I2P down,” he said. “It’s more they’re looking for an alternative to keep the botnet stable in the face of takedown attempts.”

The Kimwolf botnet created challenges for Cloudflare late last year when it began instructing millions of infected devices to use Cloudflare’s domain name system (DNS) settings, causing control domains associated with Kimwolf to repeatedly usurp AmazonAppleGoogle and Microsoft in Cloudflare’s public ranking of the most frequently requested websites.

James said the I2P network is still operating at about half of its normal capacity, and that a new release is rolling out which should bring some stability improvements over the next week for users.

Meanwhile, Brundage said the good news is Kimwolf’s overlords appear to have quite recently alienated some of their more competent developers and operators, leading to a rookie mistake this past week that caused the botnet’s overall numbers to drop by more than 600,000 infected systems.

“It seems like they’re just testing stuff, like running experiments in production,” he said. “But the botnet’s numbers are dropping significantly now, and they don’t seem to know what they’re doing.”

Read more here: https://krebsonsecurity.com/2026/02/kimwolf-botnet-swamps-anonymity-network-i2p/

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ING ziet spanningen rond AI, energie en digitale autonomie in techsector https://ipv6.net/news/ing-ziet-spanningen-rond-ai-energie-en-digitale-autonomie-in-techsector/ Wed, 11 Feb 2026 12:37:11 +0000 https://ipv6.net/?p=2899570 De ICT-TMT-sector staat voor strategische keuzes rond AI-rekenkracht, energievoorziening en digitale autonomie. Dat schrijft ING in de sectorupdate van februari, waarin ook telecomvooruitzichten en nieuwe businessmodellen in de advocatuur aan bod komen. Volgens ING staat het kabinetsbeleid rond klimaatdoelen en AI-infrastructuur onder spanning. In het coalitieakkoord is sprake van investeringen in soevereine datacenters als onderdeel […]

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De ICT-TMT-sector staat voor strategische keuzes rond AI-rekenkracht, energievoorziening en digitale autonomie. Dat schrijft ING in de sectorupdate van februari, waarin ook telecomvooruitzichten en nieuwe businessmodellen in de advocatuur aan bod komen.

Volgens ING staat het kabinetsbeleid rond klimaatdoelen en AI-infrastructuur onder spanning. In het coalitieakkoord is sprake van investeringen in soevereine datacenters als onderdeel van een nationaal AI-rekenkrachtplan. Die infrastructuur vraagt echter grote hoeveelheden duurzame energie en extra transportcapaciteit, terwijl het stroomnet al onder druk staat.

Tegelijk werkt de coalitie aan 40 GW windenergie op de Noordzee en aan versnelling van het SMR-programma met kleine modulaire kerncentrales. Die combinatie moet bijdragen aan minder afhankelijkheid van buitenlandse energiebronnen. Volgens ING ligt hier een duidelijke koppeling tussen energiebeleid en digitale ambities: AI-rekenkracht en energieplanning kunnen niet los van elkaar worden ontwikkeld.

Digitale soevereiniteit speelt ook rond de voorgenomen overname van Solvinity door het Amerikaanse Kyndryl. Na een rondetafelgesprek in de Tweede Kamer op 27 januari groeit de politieke druk om de overname tegen te houden. ING wijst erop dat het blokkeren van de transactie op korte termijn soevereiniteitsrisico’s kan beperken, maar dat dit op langere termijn investeringsbereidheid kan remmen.

Gebrek aan kapitaal

Volgens de bank kampt Europa met een gebrek aan diepe kapitaalmarkten, waardoor Amerikaanse partijen sneller kunnen opschalen. Het beperken van overnames kan dat structurele probleem vergroten. ING ziet als alternatief onder meer sterker Europees aanbesteden met een duidelijke exitstrategie en het verdiepen van kapitaalmarkten, in lijn met eerdere voorstellen van Mario Draghi.

In telecom verwacht ING in 2026 een gematigde omzetgroei van circa 2 procent. De EBITDA groeit iets sterker door kostenreductie en verdere automatisering. Investeringen blijven rond 20 procent van de omzet, vooral door de uitrol van 5G Standalone en verdere glasvezelaansluitingen. Tegen 2026 heeft meer dan 80 procent van de Europese huishoudens een glasvezelpassage.

De concurrentie van kabelbedrijven, altnets, satellietdiensten en OTT-aanbieders in het zakelijke segment houdt de prijsdruk hoog. Europa loopt nog achter op 5G-snelheden in vergelijking met de VS, Azië en het Midden-Oosten. De uitrol van 5G SA en een volwassener device-ecosysteem moeten nieuwe toepassingen versnellen, zoals fixed wireless access, IoT en private netwerken.

Tot slot wijst ING op verschuivingen in de zakelijke dienstverlening. In een gesprek met een advocaat van Boels Zanders Advocaten komt naar voren dat AI-toepassingen het traditionele urenmodel onder druk zetten. De focus verschuift van urenregistratie naar waarde en output. Dat past binnen een bredere ontwikkeling waarin technologie bestaande verdienmodellen herijkt en organisaties dwingt hun positionering en interne processen te heroverwegen.

Het bericht ING ziet spanningen rond AI, energie en digitale autonomie in techsector verscheen eerst op ChannelConnect.

Read more here: https://www.channelconnect.nl/mkb-en-ict/ing-ziet-spanningen-rond-ai-energie-en-digitale-autonomie-in-techsector/

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Open Stack standalone 4G LTE IoT board runs RTOS on Quectel EC200 LTE module (Crowdfunding) https://ipv6.net/news/open-stack-standalone-4g-lte-iot-board-runs-rtos-on-quectel-ec200-lte-module-crowdfunding/ Wed, 11 Feb 2026 10:37:04 +0000 https://ipv6.net/?p=2899554 Open Stack is a standalone 4G LTE IoT connectivity board designed to run RTOS-based C applications directly on the Quectel EC200 series LTE module, meaning you don’t need an external MCU like Arduino, ESP32, or Raspberry Pi. By removing the MCU, the board reduces power consumption, bill-of-materials (BOM) cost, and physical footprint. The board supports […]

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Open Stack — Standalone 4G LTE IoT & Connectivity Module

Open Stack is a standalone 4G LTE IoT connectivity board designed to run RTOS-based C applications directly on the Quectel EC200 series LTE module, meaning you don’t need an external MCU like Arduino, ESP32, or Raspberry Pi. By removing the MCU, the board reduces power consumption, bill-of-materials (BOM) cost, and physical footprint. The board supports multi-band LTE with GSM fallback, GNSS, and Bluetooth 4.2, as well as IPv4/IPv6 client and server modes. It also includes a USB Type-C port, a Nano SIM card slot, LTE/GNSS/BLE antenna connectors, an OLED information display, status LEDs, control buttons, and a 40-pin Raspberry Pi HAT-compatible GPIO header. Networking support includes TCP/UDP, SSL/TLS, HTTP/HTTPS, MQTT, LwM2M, CoAP, FTP/FTPS, and PPP, making it suitable for asset tracking, industrial monitoring, BLE-to-LTE gateways, remote infrastructure, and always-connected IoT deployments without additional controller hardware. Open Stack specifications: Cellular Module – Quectel EC200U-CN series (EC200UCNAA-N05-SGNSA) module Cellular Connectivity: LTE FDD […]

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Read more here: https://www.cnx-software.com/2026/02/11/open-stack-standalone-4g-lte-iot-board-runs-rtos-on-quectel-ec200-lte-module/

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ESP32 Marauder 5G – Apex 5 module for Flipper Zero combines ESP32-C5, two Sub-GHz radios, nRF24, and GPS https://ipv6.net/news/esp32-marauder-5g-apex-5-module-for-flipper-zero-combines-esp32-c5-two-sub-ghz-radios-nrf24-and-gps/ Wed, 11 Feb 2026 07:37:05 +0000 https://ipv6.net/?p=2899541 Designed by HoneyHoneyTrading, the ESP32 Marauder 5G – Apex 5 Module is an ESP32-C5-based hacking and penetration testing tool for the Flipper Zero, with dual-band WiFi 6 (2.4GHz and 5GHz), two Sub-GHz radios (868MHz and 433MHz), an NRF24 radio, and a built-in GPS. This new Flipper Zero module can be considered an upgrade from the […]

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ESP32 Marauder 5G

Designed by HoneyHoneyTrading, the ESP32 Marauder 5G – Apex 5 Module is an ESP32-C5-based hacking and penetration testing tool for the Flipper Zero, with dual-band WiFi 6 (2.4GHz and 5GHz), two Sub-GHz radios (868MHz and 433MHz), an NRF24 radio, and a built-in GPS. This new Flipper Zero module can be considered an upgrade from the ESP32 Marauder – Double Barrel 5G, as it does not rely on a dual-chip configuration for 5 GHz operation, leveraging the ESP32-C5 dual-band capabilities instead. A microSD card slot handles storage, and the device can also save data directly to the Flipper Zero’s microSD card. It also features five antennas, including WiFi, Sub-GHz, nRF24, and GPS, along with dedicated LED indicators for the Sub-GHz radios and nRF24 activity. There is also a hardware button to toggle 433 MHz and 868 MHz Sub-GHz operation, a USB-C port, and a side button for power management and firmware […]

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Read more here: https://www.cnx-software.com/2026/02/11/esp32-marauder-5g-apex-5-module-for-flipper-zero-combines-esp32-c5-two-sub-ghz-radios-nrf24-and-gps/

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Unlock Your Business Potential with Integrated Technology Services https://ipv6.net/news/unlock-your-business-potential-with-integrated-technology-services/ Tue, 10 Feb 2026 23:37:08 +0000 https://ipv6.net/?p=2899498 In today’s fast-paced business world, staying ahead means making sure all your technology works together. This isn’t just about having the latest gadgets; it’s about connecting different systems so they can share information and help your company run smoother. Integrated technology services are the key to making this happen, allowing businesses to improve how they […]

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In today’s fast-paced business world, staying ahead means making sure all your technology works together. This isn’t just about having the latest gadgets; it’s about connecting different systems so they can share information and help your company run smoother. Integrated technology services are the key to making this happen, allowing businesses to improve how they operate, connect better with customers, and make smarter choices.

Key Takeaways

  • Integrated technology services connect different systems to improve how a business works.
  • These services can make daily tasks more efficient and boost overall productivity.
  • By understanding customer data better, businesses can offer more personalized experiences.
  • Making smarter decisions is easier when all your technology provides clear, connected information.
  • Choosing the right partner is important for setting up and managing these integrated technology services.

Understanding Integrated Technology Services

Defining Integrated Technology Services

Integrated technology services are all about making different tech tools and systems work together smoothly. Think of it like a well-oiled machine where each part does its job, but they all connect to achieve a bigger goal. Instead of having separate software for sales, inventory, and customer service, integration connects them so information flows freely between them. This connection helps businesses run more efficiently and understand their operations better. It’s about moving away from isolated tools and towards a unified approach that supports your business objectives.

The Core Components of Integration

At its heart, integration involves bringing together various technologies to create a single, functional system. This often includes:

  • Cloud Computing: Providing access to resources and data from anywhere, without needing physical servers.
  • Internet of Things (IoT): Connecting physical devices to collect and share data, like sensors in a warehouse.
  • Artificial Intelligence (AI): Enabling systems to learn, adapt, and perform tasks that usually need human thought, such as analyzing customer feedback.
  • Data Analytics: Gathering and examining information to find patterns and make informed choices.

These components don’t just sit side-by-side; they interact. For instance, IoT devices might collect data, which is then stored and processed in the cloud, analyzed by AI, and presented through data analytics tools. This interconnectedness is what makes integration powerful.

The goal is to create a digital ecosystem where information is readily available and actionable, reducing manual work and speeding up processes.

Real-World Integration Examples

Let’s look at how this plays out. Imagine a retail store where the point-of-sale system is linked to the inventory management software. When a product is sold, the inventory count updates automatically. If stock gets low, the system can even trigger an alert or automatically place an order. This kind of setup prevents stockouts and saves staff time spent on manual checks. Another example is a customer service department where a customer’s purchase history, support tickets, and communication logs are all visible in one place. This allows support staff to quickly understand a customer’s situation and provide faster, more personalized help. This approach to managing IT systems can significantly improve how a business operates day-to-day.

Key Benefits Of Integrated Technology Services

Connected technology in a modern office environment.

Bringing different technology systems together isn’t just about making them talk to each other; it’s about creating a more effective and responsive business. When your software, hardware, and data streams work in harmony, you start to see some real improvements. Let’s break down what those advantages look like.

Boosting Operational Efficiency and Productivity

Think about all the manual tasks that slow things down. Integrated systems can automate many of these, from processing orders to managing inventory. This means fewer mistakes and less time spent on repetitive work. Your team can then focus on more important things, like serving customers or developing new ideas. It’s like clearing out the clutter so you can actually get work done.

  • Automated Workflows: Repetitive tasks are handled by the system, freeing up employee time.
  • Reduced Errors: Automation minimizes the chances of human mistakes in data entry or process execution.
  • Faster Processes: Information flows quickly between departments, speeding up overall operations.

When systems are connected, information doesn’t get stuck in one place. It moves where it’s needed, when it’s needed, making everything run more smoothly.

Enhancing Customer Experiences Through Data

Integrated technology allows you to gather information about your customers from various touchpoints – sales, support, online interactions, and more. By bringing this data together, you get a clearer picture of who your customers are and what they want. This means you can offer them more personalized service, anticipate their needs, and provide solutions that truly fit.

  • Personalized Interactions: Tailor offers and communications based on customer history and preferences.
  • Proactive Support: Identify potential issues before they impact the customer.
  • Streamlined Service: Customers don’t have to repeat information across different departments.

Driving Smarter Decision-Making

Having all your business data in one place, or at least easily accessible, is a game-changer for making decisions. Instead of guessing or relying on incomplete information, you can look at real-time reports and analytics. This helps you spot trends, understand what’s working and what’s not, and make informed choices that can give your business an edge.

Area of Decision Traditional Approach Integrated Technology Approach
Sales Performance Manual reports, delayed data Real-time dashboards, trend analysis
Inventory Levels Periodic checks, potential stockouts Automated tracking, predictive ordering
Customer Behavior Limited insights, anecdotal evidence Comprehensive profiles, targeted marketing

Achieving Scalability and Flexibility

As your business grows, your technology needs to keep up. Integrated systems are often built with scalability in mind. This means you can add new features, handle more users, or expand your operations without having to completely overhaul your existing setup. It provides the agility to adapt to market changes and new opportunities without major disruption.

Essential Components Of Integrated Technology Services

To really make integrated technology services work for your business, you need to understand the building blocks. It’s not just about connecting things; it’s about how different technologies work together to create something bigger and better. Think of it like a well-oiled machine where each part has a specific job, but they all contribute to the overall function. Let’s break down some of the key pieces that make this integration possible.

Leveraging Cloud Computing Power

Cloud computing is a big one. Instead of buying and maintaining your own servers, you rent computing power and storage from providers over the internet. This means you can scale up or down easily as your business needs change. It’s also a great way to access advanced software and tools without a huge upfront investment. Plus, it makes collaboration much simpler, as your team can access data and applications from anywhere.

Harnessing The Internet Of Things (IoT)

The Internet of Things, or IoT, involves connecting everyday devices to the internet. Think smart thermostats, industrial sensors, or even wearable fitness trackers. When you integrate these devices into your business systems, they can collect and send real-time data. This data can help you monitor operations, automate tasks, and even predict when equipment might need maintenance. It’s about making your physical environment smarter and more responsive.

Integrating Artificial Intelligence Capabilities

Artificial intelligence (AI) is transforming how businesses operate. Technologies like machine learning and natural language processing allow systems to learn from data, make predictions, and even understand human language. Integrating AI can automate complex tasks, analyze vast amounts of information to find patterns, and help you make more informed decisions. It’s like giving your business a brain that can process information faster and more effectively than ever before.

Utilizing Data Analytics For Insights

All these connected technologies generate a lot of data. Data analytics is the process of making sense of that information. By using the right tools, you can collect, clean, and analyze your data to find trends, understand customer behavior, and identify areas for improvement. This data-driven approach helps you move beyond guesswork and make strategic choices that truly impact your bottom line.

Integrating these components isn’t just about adopting new tech; it’s about creating a connected ecosystem where information flows freely and intelligently. This allows for a more agile and responsive business.

Here’s a quick look at how these components can work together:

  • Cloud Computing: Provides the infrastructure and platform for data storage and application hosting.
  • IoT: Collects real-time data from physical devices and sensors.
  • AI: Analyzes data to identify patterns, make predictions, and automate actions.
  • Data Analytics: Interprets the results to provide actionable insights for decision-making.

By combining these elements, businesses can gain a significant advantage. For example, a retail company might use IoT sensors in its stores to track inventory, store this data in the cloud, use AI to predict demand, and then use data analytics to optimize stock levels and marketing campaigns. This kind of integrated approach is what Pallavi’s work often highlights in shaping informed business choices.

Choosing The Right Integrated Technology Services Partner

Business professionals collaborating with integrated technology.

Finding the right partner to help you integrate technology services is a big step. It’s not just about picking a company; it’s about finding someone who truly gets your business and can guide you through the process. Think of it like choosing a contractor for a major home renovation – you want someone reliable, skilled, and who communicates well.

Evaluating Expertise And Industry Experience

First off, you need to look at what they actually know. Do they have a solid history of successfully integrating different tech systems? It’s also super helpful if they’ve worked with businesses like yours before. An IT company that understands the specific challenges and opportunities in your industry can offer much more relevant solutions. They’ll speak your language and won’t need a lengthy explanation of your business model. Look for case studies or client testimonials that show they’ve tackled similar projects.

Ensuring Scalability And Adaptability

Your business isn’t going to stay the same, right? It’s going to grow, and hopefully, it will change. The technology partner you choose needs to provide solutions that can grow with you. This means their systems should be able to handle more users, more data, and new features down the line without a complete overhaul. Flexibility is key here; can they easily add new capabilities or connect with other systems you might adopt later? You don’t want to be locked into a system that becomes obsolete quickly.

Prioritizing Security And Compliance

This is non-negotiable. When you’re connecting different systems, you’re dealing with a lot of data, some of it sensitive. Your technology partner must have robust security measures in place. Ask them about their data protection protocols, how they handle potential threats, and what certifications they hold. They also need to be up-to-date on all relevant industry regulations and compliance standards. You can’t afford to have a data breach or fall foul of legal requirements because your partner wasn’t careful. It’s about protecting your business and your customers.

Assessing Support And Long-Term Value

Integration isn’t a one-and-done deal. Things will come up, systems might need tweaking, or you might want to add new features later. What kind of support does the partner provide after the initial setup? Do they have a responsive help desk? What are their maintenance plans like? Think about the total cost of ownership, not just the upfront price. A partner that offers good ongoing support and training can provide much better long-term value, helping you get the most out of your technology investment. It’s about building a relationship that lasts and supports your business goals over time. You might even find they can help you integrate shopping directly into platforms like ChatGPT.

Choosing the right partner means looking beyond just the technology itself. It’s about finding a collaborator who understands your business objectives and can provide solutions that are secure, adaptable, and supported for the long haul.

Navigating Challenges In Integrated Technology Services Implementation

Bringing different technology systems together can feel like trying to assemble a puzzle with pieces from several different boxes. It’s not always straightforward, and there are definitely some hurdles to jump over. Getting everything to talk to each other smoothly takes careful planning and a good understanding of how each piece works.

Addressing Integration Complexity

One of the biggest challenges is simply making disparate systems work together. Think about your sales software, your customer database, and your accounting program. If they don’t share information easily, you end up with manual data entry, which is slow and prone to mistakes. The key is to map out how data needs to flow between systems before you start connecting them. This often involves using middleware or APIs (Application Programming Interfaces) that act as translators between different software.

  • Map Data Flows: Clearly define what information needs to move between systems and how often.
  • Choose Compatible Tools: Select technologies that are known to integrate well with your existing infrastructure.
  • Phased Rollout: Instead of trying to integrate everything at once, tackle it in stages to manage complexity.

Sometimes, the simplest solution isn’t the most obvious one. It’s worth taking the time to explore different integration methods to find what truly fits your business needs without creating more problems than it solves.

Safeguarding Data Privacy and Security

When systems are connected, data moves more freely, which also means it’s more exposed. Protecting sensitive customer and business information is non-negotiable. You need strong security measures in place to prevent unauthorized access and data breaches. This includes things like encryption, secure access controls, and regular security audits.

  • Encryption: Scramble data so it’s unreadable to anyone without the key.
  • Access Controls: Limit who can see and modify specific data.
  • Regular Audits: Periodically check your systems for vulnerabilities.

Managing Organizational Change Effectively

Introducing new integrated technology isn’t just about the tech; it’s about the people using it. Employees might be used to their old ways of working, and change can be unsettling. It’s important to communicate clearly why these changes are happening and how they will benefit everyone. Getting buy-in from your team early on can make a big difference.

Investing In Employee Training and Development

New systems often mean new skills are needed. Simply putting new technology in place isn’t enough if your team doesn’t know how to use it effectively. Providing thorough training and ongoing support helps your employees adapt and get the most out of the integrated services. This investment in your people is just as important as the investment in the technology itself.

The Future Of Integrated Technology Services

The landscape of integrated technology services is always shifting, with new developments constantly appearing. Keeping an eye on these trends can help businesses prepare for what’s next and stay competitive. It’s not just about adopting new tools; it’s about understanding how they fit together to create even more powerful solutions.

Emerging Trends In Edge Computing

Edge computing is changing how we process data. Instead of sending everything to a central cloud server, data is processed closer to where it’s created. This means faster responses, which is a big deal for things like real-time analytics or controlling machinery. Think about self-driving cars needing instant decisions – that’s where edge computing shines. It also helps reduce the amount of data that needs to be sent over networks, saving bandwidth and costs.

The Role Of Blockchain Technology

Blockchain offers a new way to handle transactions and data. It’s known for being secure and transparent because records are distributed across many computers, making them hard to tamper with. This could change how we manage supply chains, verify identities, or even handle digital contracts. Imagine a supply chain where every step is recorded immutably, giving you complete visibility from start to finish. This technology builds trust in digital interactions.

Transformative Power Of AR And VR

Augmented reality (AR) and virtual reality (VR) are moving beyond gaming and entertainment. Businesses are finding practical uses for these technologies. AR can overlay digital information onto the real world, helping technicians with repairs or providing customers with interactive product information. VR can create immersive training environments or allow for virtual tours of properties. These tools can make complex information easier to grasp and create more engaging experiences for both employees and customers.

The Impact Of 5G Connectivity

The rollout of 5G networks is a game-changer for integrated technology. Its high speeds and low latency allow for much more data to be moved around quickly and reliably. This is essential for supporting the massive number of Internet of Things (IoT) devices that are becoming common. With 5G, we can expect more sophisticated applications that rely on constant, fast communication, like remote surgery or advanced smart city infrastructure. It truly enables a more connected world, impacting everything from social media platforms to industrial automation.

Moving Forward with Integrated Technology

So, we’ve talked a lot about how putting different tech pieces together can really help a business. It’s not just about having the latest gadgets; it’s about making them work together smoothly. Think about how much easier things get when your systems talk to each other – less wasted time, fewer mistakes, and happier customers. While it might seem like a big step to get everything integrated, the payoff in efficiency and better decision-making is pretty significant. As technology keeps changing, businesses that embrace these connected systems will be the ones best prepared for whatever comes next. It’s about building a stronger, more adaptable foundation for the future.

Frequently Asked Questions

What exactly are integrated technology services?

Think of integrated technology services as connecting different computer tools and systems so they work together smoothly. Instead of having separate programs for different jobs, they all talk to each other. This helps businesses run more smoothly and makes things easier for everyone.

Why would a business want to use integrated technology services?

Using these services helps businesses work faster and better. It means less time spent on repetitive tasks, fewer mistakes, and happier customers because things are more personalized. It also helps businesses make smarter choices based on the information they have.

What are the main parts of integrated technology services?

Key parts include using the ‘cloud’ (like online storage and tools), the ‘Internet of Things’ (smart devices that share info), ‘Artificial Intelligence’ (smart computer programs), and ‘Data Analytics’ (looking at information to find useful patterns).

Is it hard to set up integrated technology services?

It can be a bit tricky because you’re connecting many different systems. It’s important to plan carefully and make sure everything works well together. Keeping information safe and making sure employees know how to use the new systems are also important steps.

How do I find the right company to help with integrated technology services?

Look for a company that really knows their stuff and has helped other businesses like yours. Make sure they can grow with your company, keep your data safe, and offer good support over time. It’s about finding a partner you can trust.

What’s next for integrated technology services?

Things are always changing! We’ll see more ‘edge computing’ (processing data closer to where it’s made), ‘blockchain’ (for secure records), and better ways to use ‘virtual reality’ and faster internet like ‘5G’. These will bring even more exciting possibilities for businesses.

The post Unlock Your Business Potential with Integrated Technology Services appeared first on IntelligentHQ.

Read more here: https://www.intelligenthq.com/integrated-technology-services/

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The MicroBox is a handheld game console that runs on an Arduino UNO R4 https://ipv6.net/news/the-microbox-is-a-handheld-game-console-that-runs-on-an-arduino-uno-r4/ Tue, 10 Feb 2026 20:07:07 +0000 https://ipv6.net/?p=2899470 That shiny new Arduino UNO R4 board that you got has quite a bit of power under the hood, thanks to its Renesas RA4M1 Cortex-M4 microcontroller. It has more than enough power to run games and one great way to take advantage of that is by building Szymon Kubica’s MicroBox handheld console. The MicroBox design […]

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That shiny new Arduino UNO R4 board that you got has quite a bit of power under the hood, thanks to its Renesas RA4M1 Cortex-M4 microcontroller. It has more than enough power to run games and one great way to take advantage of that is by building Szymon Kubica’s MicroBox handheld console.

The MicroBox design should be suitable for both the UNO R4 Minima and UNO R4 WiFi. The other hardware components you’ll need are a DFRobot Input Shield and a small 1.69” color LCD from Waveshare. That DFRobot Input Shield is pretty nifty, because it is very affordable and gives you an easy way to add a joystick and four action buttons to your Arduino.

Other than that, the MicroBox just has a 3D-printed enclosure and a USB battery pack.

Of course, none of that hardware is any good without games to play. That’s why Kubica programmed a few of his own. Those include clones of Minesweeper, Snake, Snake Duel, Conway’s Game of Life, and 2048. All of those are Arduino sketches, selectable through a simple game launcher. 

Kubica has plans to release a Sudoku game, too. And if you’re so inclined, you can also program your own games for the MicroBox. You don’t even need to build a MicroBox to do that, because Kubica provides an emulator you can use to play the games he created or those that you create.

The post The MicroBox is a handheld game console that runs on an Arduino UNO R4 appeared first on Arduino Blog.

Read more here: https://blog.arduino.cc/2026/02/10/the-microbox-is-a-handheld-game-console-that-runs-on-an-arduino-uno-r4/

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New IPv6 Advanced Course https://ipv6.net/news/new-ipv6-advanced-course/ Tue, 10 Feb 2026 13:07:08 +0000 https://ipv6.net/?p=2899369 We have launched a new IPv6 Advanced e-learning course in the RIPE NCC Academy. Read more here: https://www.ripe.net/about-us/news/new-ipv6-advanced-course/

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We have launched a new IPv6 Advanced e-learning course in the RIPE NCC Academy.

Read more here: https://www.ripe.net/about-us/news/new-ipv6-advanced-course/

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10 essential release criteria for launching AI agents https://ipv6.net/news/10-essential-release-criteria-for-launching-ai-agents/ Tue, 10 Feb 2026 09:37:06 +0000 https://ipv6.net/?p=2899332 NASA’s launch-a-rocket activity includes 490 launch-readiness criteria to ensure that all ground and flight systems are prepared for launch. Having a launch-readiness checklist ensures that all operational and safety systems are ready, and validations begin long before the countdown on the launchpad. The most advanced devops teams automate their release-readiness checklists in advanced CI/CD pipelines. […]

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NASA’s launch-a-rocket activity includes 490 launch-readiness criteria to ensure that all ground and flight systems are prepared for launch. Having a launch-readiness checklist ensures that all operational and safety systems are ready, and validations begin long before the countdown on the launchpad.

The most advanced devops teams automate their release-readiness checklists in advanced CI/CD pipelines. Comprehensive criteria covering continuous testing, observability, and data readiness are needed for reliable continuous deployments.

As more organizations consider deploying AI agents into production, developing an all-encompassing release-readiness checklist is essential. Items on that checklist will cover technical, legal, security, safety, brand, and other business criteria.

“The release checklist ensures every AI agent is secure, compliant, and trained on high-quality data so it can automate interactions with confidence,” says Raj Balasundaram, global VP of AI innovations at Verint. “Ongoing testing and monitoring improve accuracy and containment rates while proving the AI is reducing effort and lowering costs. Continuous user feedback ensures the agent continues to improve and drive measurable business outcomes.”

For this article, I asked experts to focus on release readiness criteria for devops, data science, and infrastructure teams launching AI agents.

1. Establish value metrics

Teams working on AI agents need a shared understanding of the vision-to-value. Crafting a vision statement before development aligns stakeholders, while capturing value metrics ensures the team is on track. Having a defined value target helps the team decide when to go from beta to full production releases.

“Before an AI agent goes to production, define which business outcome it should change and how success will be measured, as most organizations track model metrics but overlook value tracking,” says Jed Dougherty, head of AI architecture at Dataiku. “Businesses should build a measurement system that connects agent activity to business results to ensure deployments drive measurable value, not just technical performance.”

Checklist: Identify value metrics that can serve as early indicators of AI return on investment (ROI). For example, customer service value metrics might compare ticket resolution times and customer satisfaction ratings between interactions that involve AI agents and those with human agents alone.

2. Determine trust factors

Even before developing and testing AI agents, world-class IT organizations recognize the importance of developing an AI change management program. Program leaders should understand the importance of guiding end users to increase adoption and build their trust in an AI agent’s recommendations.

“Trust starts with data that’s clean, consistent, and structured, verified for accuracy, refreshed regularly, and protected by clear ownership so agents learn from the right information,” says Ryan Peterson, EVP and chief product officer at Concentrix. “Readiness is sustained through scenario-based testing, red-teaming, and human review, with feedback loops that retrain systems as data and policies evolve.”

Checklist: Release-readiness checklists should include criteria for establishing trust, such as having a change plan, tracking end-user adoption, and measuring employee engagement with AI agents.

3. Measure data quality

AI agents leverage enterprise data for training and provide additional context during operations. Top SaaS and security companies are adding agentic AI capabilities, and organizations need clear data-quality metrics before releasing capabilities to employees.

Experts suggest that data governance teams must extend data-quality practices beyond structured data sources.

“No matter how advanced the technology, an AI agent can’t reason or act effectively without clean, trusted, and well-governed data,” says Felix Van de Maele, CEO of Collibra. “Data quality, especially with unstructured data, determines whether AI drives progress or crashes into complexity.”

Companies operating in knowledge industries such as financial services, insurance, and healthcare will want to productize their data sources and establish data health metrics. Manufacturers and other industrial companies should establish data quality around their operational, IoT, and other streaming data sources.

“The definition of high-quality data varies, but whether it’s clean code or sensor readings with nanosecond precision, the fact remains that data is driving more tangible actions than ever,” says Peter Albert, CISO of InfluxData. “Anyone in charge of deploying an AI agent should understand their organization’s definition of quality, know how to verify quality, and set up workflows that make it easy for users to share feedback on agents’ performance.”

Checklist: Use data quality metrics to test for accuracy, completeness, consistency, timeliness, uniqueness, and validity before using data to develop and train AI agents.

4. Ensure data compliance

Even when a data product meets data quality readiness for use in an AI agent, that isn’t a green light for using it in every use case. Teams must define how an AI agent’s use of a data product meets regulatory and company compliance requirements.

Ojas Rege, SVP and GM of privacy and data governance at OneTrust, says, “Review whether the agent is allowed to use that data based on regulations, policy, data ethics, customer expectations, contracts, and your own organization’s requirements. AI agents can do both great good and great harm quickly, so the negative impact of feeding them the wrong data can mushroom uncontrollably if not proactively governed.”

Checklist: To start, determine whether the AI Agent must be GDPR compliant or comply with the EU AI Act. Regulations vary by industry. As an example, AI agents in financial services are subject to a comprehensive set of compliance requirements.

5. Validate dataops reliability and robustness

Are data pipelines that were developed to support data visualizations and small-scale machine-learning models reliable and robust enough for AI agents? Many organizations use data fabrics to centralize access to data resources for various business purposes, including AI agents. As more people team up with AI agents, expect data availability and pipeline performance expectations to increase.

“Establishing release readiness for AI agents begins with trusted, governed, and context-rich data,” says Michael Ameling, President of SAP BTP and member of the extended board at SAP. “By embedding observability, accountability, and feedback into every layer, from data quality to compliance, organizations can ensure AI agents act responsibly and at scale.”

Checklist: Apply site reliability engineering (SRE) practices to data pipeline and dataops. Define service level objectives, measure pipeline error rates, and invest in infrastructure improvements when required.

6. Communicate design principles

Many organizations will deploy future-of-work AI agents into their enterprise and SaaS platforms. But as more organizations seek AI competitive advantages, they will consider developing AI agents tailored to proprietary workflows and customer experiences. Architects and delivery leaders must define and communicate design principles because addressing an AI agent’s technical debt can become expensive.

Nikhil Mungel, head of AI at Cribl, recommends several design principles:

  • Validate access rights as early as possible in the inference pipeline. If unwanted data reaches the context stage, there’s a high chance it will surface in the agent’s output.
  • Maintain immutable audit logs with all agent actions and corresponding human approvals.
  • Use guardrails and adversarial testing to ensure agents stay within their intended scope.
  • Develop a collection of narrowly scoped agents that collaborate, as this is often safer and more reliable than a single, broad-purpose agent, which may be easier for an adversary to mislead.

Pranava Adduri, CTO and co-founder of Bedrock Data, adds these AI agent design principles for ensuring agents behave predictably.

  • Programmatic logic is tested.
  • Prompts are stable against defined evals.
  • The systems agents draw context from are continuously validated as trustworthy.
  • Agents are mapped to a data bill of materials and to connected MCP or A2A systems.

According to Chris Mahl, CEO of Pryon, if your agent can’t remember what it learned yesterday, it isn’t ready for production. “One critical criterion that’s often overlooked is the agent’s memory architecture, and your system must have proper multi-tier caching, including query cache, embedding cache, and response cache, so it actually learns from usage. Without conversation preservation and cross-session context retention, your agent basically has amnesia, which kills data quality and user trust. Test whether the agent maintains semantic relationships across sessions, recalls relevant context from previous interactions, and how it handles memory constraints.”

Checklist: Look for ways to extend your organization’s non-negotiables in devops and data governance, then create development principles specific to AI agent development.

7. Enforce security non-negotiables

Organizations define non-negotiables, and agile development teams will document AI agent non-functional requirements. But IT leaders will face pressure to break some rules to deploy to production faster. There are significant risks from shadow AI and rogue AI agents, so expect CISOs to enforce their security non-negotiables, especially regarding how AI models utilize sensitive data.

“The most common mistakes around deploying agents fall into three key categories: sensitive data exposure, access mismanagement, and a lack of policy enforcement,” says Elad Schulman, CEO and co-founder of Lasso Security. “Companies must define which tasks AI agents can perform independently and which demand human oversight, especially when handling sensitive data or critical operations. Principles such as least privilege, real-time policy enforcement, and full observability must be enforced from day one, and not as bolted-on protections after deployment.”

Checklist: Use AI risk management frameworks such as NIST, SAIF, and AICM. When developing security requirements, consult practices from Microsoft, MIT, and SANS.

8. Scale AI-ready infrastructure

AI agents are a hybrid of dataops, data management, machine learning models, and web service capabilities. Even if your organization applied platform engineering best practices, there’s a good chance that AI agents will require new architecture and security requirements.

Kevin Cochrane, CMO of Vultr, recommends these multi-layered protections to scale and secure an AI-first infrastructure:

  • Tenant isolation and confidential computing.
  • End-to-end encryption of data in transit and at rest.
  • Robust access controls and identity management.
  • Model-level safeguards like versioning, adversarial resistance, and usage boundaries.

“By integrating these layers with observability, monitoring, and user feedback loops, organizations can achieve ‘release-readiness’ and turn autonomous AI experimentation into safe, scalable enterprise impact,” says Cochrane.

Checklist: Use reference architectures from AWS, Azure, and Google Cloud as starting points.

9. Standardize observability, testing, and monitoring

I received many recommendations related to observability standards, robust testing, and comprehensive monitoring of AI agents.

  • Observability: “Achieving agentic AI readiness requires more than basic telemetry—it demands complete visibility and continuous tracking of every model call, tool invocation, and workflow step,” says Michael Whetten, SVP of product at Datadog. “By pairing end-to-end tracing, latency and error tracking, and granular telemetry with experimentation frameworks and rapid user-feedback loops, organizations quickly identify regressions, validate improvements, control costs, and strengthen reliability and safety.”
  • Automated testing: Rishi Rana, CEO of Cyara, says, “Teams must treat testing like a trust stress test: Validate data quality, intent accuracy, output consistency, and compliance continuously to catch failures before they reach users. Testing should cover edge cases, conversational flows, and human error scenarios, while structured feedback loops let agents adapt safely in the real world.
  • Monitoring: David Talby, CEO of Pacific AI, says, “Post-release, continuous monitoring and feedback loops are essential to detect drift, bias, or safety issues as conditions change. A mature governance checklist should include data quality validation, security guardrails, automated regression testing, user feedback capture, and documented audit trails to sustain trust and compliance across the AI lifecycle.”

Checklist: IT organizations should establish a baseline release-readiness standard for observability, testing, and monitoring of AI agents. Teams should then meet with business and risk management stakeholders to define additional requirements specific to the AI agents in development.

10. Create end-user feedback loops

Once an AI agent is deployed to production, even if it’s to a small beta testing group, the team should have tools and a process to capture feedback.

“The most effective teams now use custom LLM judges and domain-specific evaluators to score agents against real business criteria before production,” says Craig Wiley, senior director of product management at Databricks. “After building effective evaluations, teams need to monitor how performance changes across model updates and system modifications and provide human-in-the-loop feedback to turn evaluation data into continuous improvement.”

Checklist: Require an automated process for AI agents to capture feedback and improve the underlying LLM and reasoning models.

Conclusion

AI agents are far greater than the sum of their data practices, AI models, and automation capabilities. Todd Olson, CEO and co-founder of Pendo, says AI requires strong product development practices to retain user trust. “We do a ton of experimentation to drive continuous improvements, leveraging both qualitative user feedback to understand what users think of the experience and agent analytics to understand how users engage with an agent, what outcomes it drives, and whether it delivers real value.”

For organizations looking to excel at delivering business value from AI agents, adopting a product-driven organization is key to driving transformation.

Read more here: https://www.infoworld.com/article/4105884/10-essential-release-criteria-for-launching-ai-agents.html

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A weather station built specifically for model rocket launches https://ipv6.net/news/a-weather-station-built-specifically-for-model-rocket-launches/ Mon, 09 Feb 2026 22:07:07 +0000 https://ipv6.net/?p=2899273 When NASA or SpaceX launches a rocket, it is important for them to monitor the real-time local weather conditions to adjust parameters or even delay until conditions are more favorable. Model rocket launches are just as affected by weather — more so, in fact, because they have so much less mass. That’s why Markus Bindhammer […]

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When NASA or SpaceX launches a rocket, it is important for them to monitor the real-time local weather conditions to adjust parameters or even delay until conditions are more favorable. Model rocket launches are just as affected by weather — more so, in fact, because they have so much less mass. That’s why Markus Bindhammer of the Marb’s lab YouTube channel built this portable weather station specifically for his model rocketry hobby.

This weather station displays six critical measurements: temperature, humidity, air pressure, altitude, wind speed, and wind direction. The device measures all of those itself, rather than relying on data pulled from nearby weather stations. That ensures that the measurements are current and local to the precise area of the launch site. 

A single Bosch BME280 sensor collects the temperature, humidity, air pressure, and altitude measurements. An ultrasonic anemometer measures wind speed and direction. The weather station has a physical compass attached so Bindhammer can orient the anemometer and get an accurate wind direction reading.

An Arduino Nano Every board monitors those sensors, then displays the results on a 2” TFT LCD screen. Those mount onto a custom PCB that keeps all of the wiring nice and tidy. Everything fits inside of a resin 3D-printed enclosure, which Bindhammer sanded and then painted a lovely shade of blue.

Now Bindhammer can easily monitor the weather as he prepares for his launches. And this weather station will pair perfectly with the launch controller he built that we recently featured.

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Read more here: https://blog.arduino.cc/2026/02/09/a-weather-station-built-specifically-for-model-rocket-launches/

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JDK 26: The new features in Java 26 https://ipv6.net/news/jdk-26-the-new-features-in-java-26/ Mon, 09 Feb 2026 21:07:07 +0000 https://ipv6.net/?p=2899263 Java Development Kit (JDK) 26, a planned update to standard Java due March 17, 2026, has reached the initial release candidate (RC) stage. The RC is open for critical bug fixes, with the feature set having been frozen in December. The following 10 features are officially targeted to JDK 26: a fourth preview of primitive […]

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Java Development Kit (JDK) 26, a planned update to standard Java due March 17, 2026, has reached the initial release candidate (RC) stage. The RC is open for critical bug fixes, with the feature set having been frozen in December.

The following 10 features are officially targeted to JDK 26: a fourth preview of primitive types in patterns, instanceof, and switch, ahead-of-time object caching, an eleventh incubation of the Vector API, second previews of lazy constants and PEM (privacy-enhanced mail) encodings of cryptographic objects, a sixth preview of structured concurrency, warnings about uses of deep reflection to mutate final fields, improving throughput by reducing synchronization in the G1 garbage collector (GC), HTTP/3 for the Client API, and removal of the Java Applet API.

A short-term release of Java backed by six months of Premier-level support, JDK 26 follows the September 16 release of JDK 25, which is a Long-Term Support (LTS) release backed by several years of Premier-level support. Early-access builds of JDK 26 are available at https://jdk.java.net/26/. The initial rampdown phase began in early December, and the second rampdown phase in mid-January. A second release candidate is planned for February 19.

The latest feature to be added, primitive types in patterns, instanceof, and switch, is intended to enhance pattern matching by allowing primitive types in all pattern contexts, and to extend instanceof and switch to work with all primitive types. Now in a fourth preview, this feature was previously previewed in JDK 23, JDK 24, and JDK 25. The goals include enabling uniform data exploration by allowing type patterns for all types, aligning type patterns with instanceof and aligning instanceof with safe casting, and allowing pattern matching to use primitive types in both nested and top-level pattern contexts. Changes in this fourth preview include enhancing the definition of unconditional exactness and applying tighter dominance checks in switch constructs. The changes enable the compiler to identify a wider range of coding errors.

With ahead-of-time object caching, the HotSpot JVM would gain improved startup and warmup times, so it can be used with any garbage collector including the low-latency Z Garbage Collector (ZGC). This would be done by making it possible to load cached Java objects sequentially into memory from a neutral, GC-agnostic format, rather than mapping them directly into memory in a GC-specific format. Goals of this feature include allowing all garbage collectors to work smoothly with the AOT (ahead of time) cache introduced by Project Leyden, separating AOT cache from GC implementation details, and ensuring that use of the AOT cache does not materially impact startup time, relative to previous releases.

The eleventh incubation of the Vector API introduces an API to express vector computations that reliably compile at run time to optimal vector instructions on supported CPUs. This achieves performance superior to equivalent scalar computations. The incubating Vector API dates back to JDK 16, which arrived in March 2021. The API is intended to be clear and concise, to be platform-agnostic, to have reliable compilation and performance on x64 and AArch64 CPUs, and to offer graceful degradation. The long-term goal of the Vector API is to leverage Project Valhalla enhancements to the Java object model.

Also on the docket for JDK 26 is another preview of an API for lazy constants, which had been previewed in JDK 25 via a stable values capability. Lazy constants are objects that hold unmodifiable data and are treated as true constants by the JVM, enabling the same performance optimizations enabled by declaring a field final. Lazy constants offer greater flexibility as to the timing of initialization.

The second preview of PEM (privacy-enhanced mail) encodings calls for an API for encoding objects that represent cryptographic keys, certificates, and certificate revocation lists into the  PEM transport format, and for decoding from that format back into objects. The PEM API was proposed as a preview feature in JDK 25. The second preview features a number of changes, such as the PEMRecord class is now named PEM and now includes a decode()method that returns the decoded Base64 content. Also, the encryptKey methods of the EncryptedPrivateKeyInfo class now are named encrypt and now accept DEREncodable  objects rather than PrivateKey objects, enabling the encryption of KeyPair and PKCS8EncodedKeySpec objects.

The structured concurrency API simplifies concurrent programming by treating groups of related tasks running in different threads as single units of work, thereby streamlining error handling and cancellation, improving reliability, and enhancing observability. Goals include promoting a style of concurrent programming that can eliminate common risks arising from cancellation and shutdown, such as thread leaks and cancellation delays, and improving the observability of concurrent code.

New warnings about uses of deep reflection to mutate final fields are intended to prepare developers for a future release that ensures integrity by default by restricting final field mutation, in other words making final mean final, which will make Java programs safer and potentially faster. Application developers can avoid both current warnings and future restrictions by selectively enabling the ability to mutate final fields where essential.

The G1 GC proposal is intended to improve application throughput when using the G1 garbage collector by reducing the amount of synchronization required between application threads and GC threads. Goals include reducing the G1 garbage collector’s synchronization overhead, reducing the size of the injected code for G1’s write barriers, and maintaining the overall architecture of G1, with no changes to user interaction.

The G1 GC proposal notes that although G1, which is the default garbage collector of the HotSpot JVM, is designed to balance latency and throughput, achieving this balance sometimes impacts application performance adversely compared to throughput-oriented garbage collectors such as the Parallel and Serial collectors:

Relative to Parallel, G1 performs more of its work concurrently with the application, reducing the duration of GC pauses and thus improving latency. Unavoidably, this means that application threads must share the CPU with GC threads, and coordinate with them. This synchronization both lowers throughput and increases latency.

The HTTP/3 proposal calls for allowing Java libraries and applications to interact with HTTP/3 servers with minimal code changes. Goals include updating the HTTP Client API to send and receive HTTP/3 requests and responses; requiring only minor changes to the HTTP Client API and Java application code; and allowing developers to opt in to HTTP/3 as opposed to changing the default protocol version from HTTP/2 to HTTP/3.

HTTP/3 is considered a major version of the HTTP (Hypertext Transfer Protocol) data communications protocol for the web. Version 3 was built on the IETF QUIC (Quick UDP Internet Connections) transport protocol, which emphasizes flow-controlled streams, low-latency connection establishment, network path migration, and security among its capabilities.

Removal of the Java Applet API, now considered obsolete, is also targeted for JDK 26. The Applet API was deprecated for removal in JDK 17 in 2021. The API is obsolete because neither recent JDK releases nor current web browsers support applets, according to the proposal. There is no reason to keep the unused and unusable API, the proposal states.

Read more here: https://www.infoworld.com/article/4050993/jdk-26-the-new-features-in-java-26.html

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