{"id":39694,"date":"2024-03-18T21:03:25","date_gmt":"2024-03-18T21:03:25","guid":{"rendered":"https:\/\/zpesystems.com\/?p=39694"},"modified":"2024-03-18T21:03:30","modified_gmt":"2024-03-18T21:03:30","slug":"the-future-of-edge-computing-zs","status":"publish","type":"post","link":"https:\/\/zpesystems.com\/the-future-of-edge-computing-zs\/","title":{"rendered":"The Future of Edge Computing"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” da_disable_devices=”off|off|off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” width=”100%” custom_margin=”0px||||false|false” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/zpesystems.com\/wp-content\/uploads\/2024\/03\/The-Future-of-Edge-Computing.jpg” alt=”The Future of Edge Computing” title_text=”The Future of Edge Computing” admin_label=”Image” _builder_version=”4.24.2″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.24.2″ _module_preset=”default” global_colors_info=”{}”]Edge computing moves computing resources and data processing applications out of the centralized data center or cloud, deploying them at the edges of the network and allowing companies to use their edge data in real-time. An explosion in edge data generated by Internet of Things (IoT) sensors, automated operational technology (OT), and other remote devices has created a high demand for edge computing solutions. A recent report from Grand View Research<\/a> valued the edge computing market size at $16.45 billion in 2023 and predicted it to grow at a compound annual growth rate (CAGR) of 37.9% by 2030.<\/p>\n

The current edge computing landscape comprises solutions focused on individual use cases,\u00a0 lacking interoperability and central orchestration. The future of edge computing, as described by leading analysts at Gartner, depends on unifying the edge computing ecosystem with comprehensive strategies and centralized, vendor-neutral management and orchestration. This future relies on edge-native applications that integrate seamlessly with upstream resources, remote management, and orchestration while still being able to operate independently.<\/p>\n

Where is edge computing now?<\/h2>\n

Many organizations already use edge computing technology to solve individual problems or handle specific workloads. For example, a manufacturing department may deploy an edge computing application to analyze log data and provide predictive maintenance recommendations for a single type of machine or assembly line. A single company may have a dozen or more disjointed edge computing solutions in use throughout the network, creating visibility and management headaches for IT teams. This piecemeal approach to edge computing results in what Gartner calls \u201cedge sprawl<\/a>\u201d: many disparate solutions deployed without centralized control, security, or visibility. Edge sprawl increases management complexity and risk while decreasing operational efficiency, creating significant roadblocks for digital transformation initiatives.<\/p>\n

Additionally, many organizations misunderstand edge computing by thinking it\u2019s just about moving computing resources as close to the edge as possible to collect data. In reality, the true potential of the edge involves using<\/i> edge data in real-time, gaining \u201ccloud-in-a-box\u201d capability that works in concert with the network\u2019s upstream resources.<\/p>\n

Anticipating the future of edge computing<\/h2>\n

At Gartner\u2019s 2023 IT Infrastructure Operations & Cloud Strategies Conference<\/a>, edge technology experts predicted that, by 2025, enterprises will create and process more than 50% of their data outside the centralized data center or cloud. Surging edge data volume will accelerate the challenges caused by a lack of strategy or orchestration.
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Gartner\u2019s 6 Edge Computing Challenges<\/strong><\/h3>\n

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Lack of extensibility<\/strong><\/pee><\/td>\n

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Many purpose-built edge computing solutions can\u2019t adapt as use cases change or expand as the business scales, limiting agility and preventing efficient growth.<\/span><\/pee><\/td>\n

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Inability to extract value from edge data<\/strong><\/pee><\/td>\n

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Much of the valuable data generated by edge sensors and devices gets left on the table, so to speak, because companies lack the resources needed to run all their data analytics and AI apps at the edge and are stuck simply collecting data rather than being able to do much with it.<\/span><\/pee><\/td>\n

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Data storage constraints<\/strong><\/pee><\/td>\n

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Edge computing deployments are often smaller and have more data storage constraints than large data centers and cloud deployments, but quickly distinguishing between valuable data and destroyable junk is difficult with edge resources.<\/span><\/pee><\/td>\n

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Knowledge debt from edge-native apps<\/strong><\/pee><\/td>\n

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Edge-native applications are designed for edge computing architectures from the ground up. Edge containers are similar to cloud-native apps, but clustering and cluster management work much differently, creating what\u2019s known as \u201cknowledge debt\u201d and straining IT teams.<\/span><\/pee><\/td>\n

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Lack of security controls, policies, & visibility<\/strong><\/pee><\/td>\n

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Edge deployments often lack many of the security features used in data centers, and sometimes other departments install edge computing solutions without onboarding them with IT for the application of security policies and monitoring agents, adding risk and increasing the attack surface.<\/span><\/pee><\/td>\n

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Inability to remotely orchestrate, monitor, & troubleshoot<\/strong><\/pee><\/td>\n

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When equipment failures, configuration errors, or breaches take down edge networks, remote teams are often cut-off and unable to troubleshoot or recover without traveling on-site or paying for managed services, increasing the duration and cost of the outage. Current edge solutions are novel and don\u2019t connect to or integrate with the full networking stack.<\/span><\/pee><\/td>\n

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[\/et_pb_code][et_pb_text _builder_version=”4.24.2″ _module_preset=”default” text_font=”||||||||” global_colors_info=”{}”]At the Gartner conference, analyst Thomas Bittman gave multiple presentations echoing his advice from the Building an Edge Computing Strategy<\/a> report published earlier in the year. In preparing for the future of edge computing, Bittman urges companies to proactively develop a comprehensive edge computing strategy encompassing all potential use cases and addressing the challenges described above. His recommendations include:<\/p>\n