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3 Ways In Which IoT Reliability Can Be Improved

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3 Ways In Which IoT Reliability Can Be Improved


Enhancing IoT reliability involves making networks more secure against cyber threats and intelligent edge-based data storage and computation.

Implementing reliable IoT for smart cities can reduce latency, improve performance and increase energy efficiency.

Over the past decade, smart devices have seemingly taken over the world. As per a 2021 study, there are approximately 175 million smart homes globally. Similarly, automated supply chains can use smart sensors and plugs for asset tracking and inventory management. The Internet of Things (IoT) powers the networks that connect such smart devices and applications. As you can imagine, manufacturers, hospitals, exporters and businesses in other sectors depend heavily on such applications for critical functions—such as performing a bypass surgery with robotic arms or mixing two explosive chemicals autonomously in just the right proportion to make a solution essential to business operations. In such circumstances, the reliability factor of IoT devices must be absolutely unwavering.

Here are some ways in which high reliability in IoT for smart cities can be achieved:  

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1) Boosting Edge IoT Capabilities

Older IoT networks involve edge components with lower computing power. This makes the transfer of data through the various IoT devices slower, thereby making the overall network needlessly laggy. You can prevent this by incorporating computing resources—and, by extension, computing power and storage space at the edge devices. This will serve two purposes in an IoT network. Firstly, this will prevent the stagnation of data in the backend. Instead, improved data processing and storage in the edge devices of a network will ease data flow and prevent congestion. Secondly, the increase in computing power and autonomous decision-making capability within edge devices will make IoT-driven operations faster and more accurate.

2) Implementing Mesh IoT Networks

Traditional IoT networks use star networks in which all the devices in a network are connected with a common gateway. The gateway acts as a carrier for all the data collected by the sensors and devices. Although star networks are cost-effective to implement, problems such as black spots and limited network coverage are common in such IoT networks. In contrast, mesh networks, which involve sensor devices distributing data with one another through multiple nodes, increase the coverage area for data transmission, scalability, and self-healing algorithms. This greatly increases the reliability of IoT for smart cities, even when two devices are separated by a large distance.

3) Building a Multi-layered Defense for IoT Networks

Another factor that needs to be considered when IoT reliability is considered is cybersecurity. IoT networks may involve several businesses and stakeholders. To make the overall network resistant to DDoS, data breaches and other kinds of cyber threats, such stakeholders must build a multi-layered infrastructure wherein all devices have tight Identity and Access Management (IAM) protocols through Multi-Factor Authentication (MFA) applications. This will make hacking into an IoT network difficult for cyber-criminals.

Such measures will simply prop up the reliability aspect of IoT for smart cities and businesses and ensure that the critical operations that use the technology face zero to minimal downtime. 



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TECHNOLOGY

SaaS pricing inflation growing 4x faster than market inflation

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Cloud Computing News


Inflation has dominated the financial news landscape in 2022. In many markets, the consumer price index (CPI), has reached its highest point in a generation. This growth in the cost of ‘things’ also applies to software.

Almost every organisation has come to rely on SaaS to conduct business, from communications tools like Slack and Zoom to productivity suites like Microsoft 365 and Google Workspace, as well as department-specific platforms like Atlassian, Workday, NetSuite or Salesforce.

This is according to a report into SaaS inflation pricing from Vertice, a SaaS purchasing and spend management platform.

Spending on SaaS products grew more than tenfold between 2010 and 2020, from $13b to $157b annually. Investment accelerated even faster at the onset of the coronavirus pandemic, as companies raced to support remote working. SaaS spending increased by 26% in the months following the initial lockdown in 2020 and has only continued to grow in the years since.

Unlike many other significant overheads, like payroll and rent, the selection, management and renewal of SaaS are decentralised in nearly every organisation. This is for a variety of reasons, but buying power plays the most important role. Buying power typically sits across several individuals and departments, with finance leaders managing budget requirements, IT teams assessing systems and compliance considerations, and department heads selecting based on functionality. It’s a complex web of decision making and, even with the best intentions, it can be a struggle to gain a single view of all of the SaaS products a company uses.

This ‘wild west’ of a cost centre is a significant problem when the share of the total cost is considered. A growing percentage of all expenditures for businesses goes to SaaS, with around 12.7% of total spending now used on software investments. That means $1 in every $8 that modern organisations spend is now dedicated to SaaS. To translate that into dollars — as of 2022, companies spend around $3,112 per employee each year on SaaS. This figure rises to $4,552 for technology companies, who spend more than firms in any other category.

It has taken only five years for average SaaS spending to double. Based on the economic inflation rate over the same period, it would take 18 years for the cost of SaaS to double. This growth has far outpaced the rate of general economic inflation, even after factoring in recent periods of an uncharacteristically high CPI.

Clearly, the impact of SaaS in terms of productivity, collaboration and inclusion has been significant – but the accompanying cost has also been quietly spiralling upwards.

Analysis of more than 10,000 SaaS contracts shows that 74% of vendors have increased their list pricing since 2019. Among the quarter of vendors that have not, almost all have reduced the size of the average discount afforded to customers – effectively raising the spend without touching the list price.

A comparison of regional inflation rates with the SaaS inflation rate by geography reveals that over the past five years the cost of SaaS for US organisations has grown 3.5x faster than the general inflation rate – even after accounting for an exceptionally high national inflation rate in 2022.

SaaS inflation has outstripped general inflation rates even more rapidly elsewhere; spending at British and Australian firms has risen at a rate five times greater than regional economic inflation.

Joel Windels, VP of marketing at Vertice, said: “It’s become clear that not only is SaaS critical to modern businesses, but also that it represents a growing cost centre that can rapidly spiral out of control without strategic management. Even without investing in new tools or added licences, the data shows that spending on SaaS is exploding. With an uncertain economic outlook for 2023, finance leaders absolutely have to start taking a more considered approach to SaaS spending if they are to maintain growth and streamline their operations” 

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