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Edge Computing: The Future of Cloud

The IDC forecasts the global edge computing market to reach $250 billion by 2024, with a compounded annual growth of 12.5%. No wonder the industry is talking about Edge Computing.

Edge computing is one of the “new revolutionary technologies” that can change organizations wanting to break free from previous limitations of traditional cloud-based networks. The next 12–18 months will prove to be the natural inflection for edge computing. Practical applications are finally emerging where this architecture can bring real benefits.

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How Is 5G Relevant in the Present Day?

As 2021 approached, 5G was predicted to reach around 34% of the global population in the next 4 years. How will 5G revolutionize the present scenario of the market? What are my predictions for a 5G-enabled future? What are the risks associated with 5G? Read this article to know what I expect from the 5G-enabled future.

5G networks are part of a major digital transformation trend that is impacting consumer, public sector, and enterprise spaces. New devices and applications are emerging in the market that takes advantage of the dramatically reduced latency and much higher throughput than 5G offers.  Examples include accelerated adoption of smart cities, smart factories, next-generation in-store experiences, healthcare services autonomous cars, and much more. It’s an exciting time.  By now, you are familiar with the excitement surrounding the 5G revolution.

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How to Fight the Coming Latency Wars

We certainly live in an age of wonders. We have supercomputers in our pockets, a global Internet, and applications in the cloud. In less than a lifetime, our four-channel television, rotary dial telephone world has transformed, bringing futuristic science fiction to everyday technology reality.

AI continues to advance its penetration into our lives as it seeks ubiquity. The 5G rollout is well underway as consumers snap up the latest generation of 5G devices. Software infrastructure and applications are keeping pace with the rapid maturation of cloud-native computing.

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How 5G Is Transforming the World of Mobile App Development

The Information Age that has rapidly come to replace the Industrial Revolution, is all about mind-blowing technologies. Things that once seemed impossible and could take tons of effort and time are now a matter of fact. Talking about technologies, let’s stick to one of the latest news we have been looking forward to for such a long time. 5G is already available! The technology that makes it possible to exchange terabytes of data across devices in seconds will change the rules in all segments. So let’s start with the Fifth Generation wireless cellular network.

What is 5G? 

5G wireless network is the latest mobile technology based on the IEEE 802.11ac wireless networking standard. It has come to replace the current 4G/LTE technology. The rumors about the new technology started back in 2019. It took two years for the technology to roll out to a broader audience. According to statistics, by 2024, the number of 5G subscriptions will reach 1.9 billion. Within the following year, it is possible to register 3 billion subscriptions.

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Mobile Commerce Testing: How Global Leaders Optimize User Experience

Mobile accounts for over 67% of all e-commerce sales worldwide and it’s expected to keep growing as more people are getting used to shopping on their phones. Nearly four out of five smartphone users have made at least one purchase in the last six months.

Since mobile performance directly affects user experience, retention rates, conversions, and ultimately revenue, improving it has become a top priority for mobile commerce companies globally.

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Low Latency Edge Data Streaming With Kafka and Cloud-Native 5G Infrastructure

Many mission-critical use cases require low latency data processing. Running these workloads close to the edge is mandatory if the applications cannot run in the cloud. This blog post explores architectures for low latency deployments leveraging a combination of cloud-native infrastructure at the edge, such as AWS Wavelength, 5G networks from Telco providers, and event streaming with Apache Kafka to integrate and process data in motion.

The blog post is structured as follows:

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Apache Kafka for Industrial IoT and Manufacturing 4.0

This post explores use cases and architectures for processing data in motion with Apache Kafka in Industrial IoT (IIoT) across verticals such as automotive, energy, steel manufacturing, oil&gas, cybersecurity, shipping, logistics. Use cases include predictive maintenance, quality assurance, track and track, real-time locating system (RTLS), asset tracking, customer 360, and more. Examples include BMW, Bosch, Baader, Intel, Porsche, and Devon.

Why Kafka Is a Key Piece of the Evolution for Industrial IoT and Manufacturing

Industrial IoT was a mess of monolithic and proprietary technologies in the last decades. Modbus, Siemens S7, SCADA, and similar "concepts" controlled the industry. Vendors locked in enterprises by intentionally building incompatible products without open interfaces. These systems still run on Windows XP or similar non-supported outdated operating systems and without security in mind.

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Apache Kafka and MQTT (Part 2 of 5) – V2X and Connected Vehicles

Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various use cases across industries, including connected vehicles, manufacturing, mobility services, and smart city are explored. The examples use different architectures, including lightweight edge scenarios, hybrid integrations, and serverless cloud solutions. This post is part two: Connected Vehicles and V2X applications.

Apache Kafka + MQTT Blog Series

The first blog post explores the relation between MQTT and Apache Kafka. Afterward, the other four blog posts discuss various use cases, architectures, and reference deployments.

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Containerized 5G Infrastructure Visibility

Cloud native and containerized architectures are becoming the de facto design standard for 5G networks and applications. In the telecommunications industry, the players are focused on building out 5G Stand Alone (SA) deployments to deliver the promise of faster connection speeds to enable IoT, medical, and autonomous use cases – not to mention improved communications, support for streaming real-time content, and the promise of myriad new applications and services. In working with Tier 1 operators, MVNOs, and analytics providers, we are encountering a staggering issue: they can no longer adequately monitor, correlate, and measure critical network and application communication events at the container level and across the infrastructure.

As we have illustrated through our demonstrations and proof of concept deployments of our Containerized Visibility Fabric (CVF) with telco and related technology suppliers, the most common phrases we’re hearing during the engagements are:

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Apache Kafka for the Connected World: Vehicles, Factories, Cities

The digital transformation enables a connected world. People, vehicles, factories, cities, digital services, and other "things" communicate with each other in real-time to provide a safe environment, efficient processes, and a fantastic user experience. This scenario only works well with data processing in real-time at scale. This blog post shares a presentation that explains why Apache Kafka plays a key role in these industries and use cases but also to connect the different stakeholders.

Software is Changing and Connecting the World

Event Streaming with Apache Kafka plays a massive role in processing massive volumes of data in real-time in a reliable, scalable, and flexible way integrating with various legacy and modern data sources and sinks.

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4 New Realities That Are (Finally) Shaking Up Security

“Security used to be an inconvenience sometimes, but now it’s a necessity all the time.” It’s funny that such a thought came from a tennis superstar rather than a cybersecurity professional, but that doesn’t diminish from its astounding prescience in today’s digital world.

Data has transformed into a valuable commodity. Security has changed alongside it, but at the same reactive pace that it always has. The job of a security professional has always been to respond to threats, continually re-fortify defenses, try to anticipate what may occur and plan accordingly. 

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The Fusion of 5G, IoT, and AI

The amount of data is increasing rapidly. More and more devices can produce and transmit data. We live in a world that threatens to drown in the flood of data. The merger of 5G, IoT, and AI could help us and be of great importance when it comes to profiting from the rapid increase in available data.

The Fusion of 5G, AI, and IoT will play a significant role in critical areas like:

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Edge Computing: Public Cloud on 5G — the Grand Convergence

The closing months of 2019 saw a slew of services by AWS and Azure in their flagship events- Reinvent and Ignite. Notable among them were services leveraging 5G networks for running workloads in the 5G edge to provide ultra low latency. With 5G services set to be mainstream in this decade, this is a first of its kind collaboration model between the two principal parties in the ecosystem - The CSP (Communication Service Provider) and the Cloud Vendor(like AWS/Microsoft Azure). CSP has been referred to as Mobile network or mobile provider's network in this article for ease of understanding.

AWS has partnered with Telco service providers- Verizon, Vodafone, SK Enterprise, KDDI  to provide AWS Wavelength and is in the process of adding more partners. As announced, AWS Wavelength will enable developers to build applications that serve end-users with ultra-low latency over 5G network.

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5G: Crossing Borders, Drone Deployment, and Is Manufacturing the Killer Application?

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You couldn't read a tech prediction for 2020 without breathless proclamations for all things 5G and this year's CES included a plethora of 5G-ready mobile phones. What is the current reality outside the glossy marketing spin? Earlier this year, I attended 5G Techritory Forum – the 2nd annual Baltic Sea Region 5G Ecosystem conference in Riga, Latvia. The Baltic Sea Region consists of 9 countries and 150 million inhabitants.

You may also like: Extreme Hacking: A Recipe for Success in Hackathons

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Your IoT Predictions for 2020 (Part One)

What is the future of IoT?
These been plenty in IoT to keep us occupied. Amongst the deluge of daily news, we've seen 5G reach closer to the mainstream market with the release of the first commercial 5G phones, a plethora of alliances, partnerships and testbed projects.

Companies are maturing thanks to series C funding, with IoT cybersecurity providers Armis raising 60m and IoT platform Particle 40m in series C.

You may also like: The Future of IoT


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UE Application Initiation and Offloading on MEC Deployments in a Standalone 5G Network

5G is a disruptive technology mandatorily needed to meet the capacity and performance requirements of future networks. Massive bandwidth needs and extremely low latency requirements, needed by burgeoning applications (like AI, IoT, AR/VR), require 5G to be facilitated by other emerging technologies like SDN/NFV and multi-access edge computing (MEC). By bringing the computing closer to the user, MEC promises to meet the desired latency and bandwidth constraints. Standardization bodies, like 3GPP (for 5G) and ETSI (for MEC), have been working towards streamlining the procedures for interworking of 5G core and MEC systems. The 5G and MEC specifications give an insight into the future integration strategy expected – making MEC work as a 5G application function to interact with the 3GPP 5G system for traffic steering and reception of mobility events. But a complete flow of information between MEC function entities and the 5G core network functions on application initiation and UE mobility seems to be missing at this point of time. This paper intends to dig into some of these interworking issues and explains the interactions between the participating entities during the complete application lifecycle.

Keywords — MEC (Multi-access edge computing), 5G (5th generation), UE application offloading, 5G application functions