- Bevywise IoT Simulator
Intelligent IoT simulation tool for testing and building IoT/MQTT applications
The proliferation of the internet of things and its associated endpoints have expanded organizations’ surface of attack. Therefore, the best IoT testing tools ensure IoT devices are secure by allowing QA teams to validate their performance, check their functionality, and scan them for vulnerabilities.
This article sheds light on the end-to-end functionality and feature-rich resources and that the best IoT testing tools offer QA teams and InfoSec analysts to keep hackers at bay while optimizing product quality.
What do I look for when I select the best IoT testing tools? Here’s a summary of my evaluation criteria:
- User Interface (UI): I look for an attractive yet sparse UI because IoT testing involves juggling several moving parts and devices. So, extra care should be taken not to overwhelm the user with irrelevant details.
- Usability: In this case, I look for user-friendliness and relative ease in accomplishing tasks since these tend to have an outsized influence on user experience.
- Integrations: No application is wholly self-sufficient, no matter how good it is. Hence, integrations are necessary to allow them play nice with other software tools and plug into other domain expertise.
- Value for $: I look for cost-effectiveness and affordability relative to the depth and breadth of functionality offered by the IoT tool.
IoT Security Testing Key Features
- Network and connectivity scanning: Because IoT devices are able to transmit data wirelessly, one of its centerpieces is traffic monitoring technologies that scan, detect, and scrutinize network packets. Moreover, the strength of connectivity has to be evaluated once established to ensure data packets are adequately delivered.
- Automated security testing: In addition to testing whether the data being transmitted is encrypted, IoT testing tools have to evaluate how effective the solution is with regard to verifying threats, risks, and vulnerabilities. The best IoT testing tools optimize these activities with automation testing features that perform a range of activities like searching for weaknesses, examining compatibility across platforms, and so on.
- Interoperability: This ensures IoT testing cooperates with other complementary tools and provides a uniform, quality end-user experience when integrated across different platforms.
- Scalability: IoT ecosystems tend to be vast and increase rapidly. So, testing tools need to have the capacity to handle large volumes of endpoints along with the ability to scale their testing scope as device workload rises.
Overviews Of The 10 Best IoT Testing Tools
Testim is a machine learning-driven testing tool for authoring, maintaining, and executing tests. It provides DevOps and QA teams the tools to run a variety of tests on various processes at various stages of the software development lifecycle. These include smoke tests on pull requests, cross-browser tests, and full regression tests.
Testim uses AI to modernize test automation. It accelerates test authoring without sacrificing test quality. It produces both stable and scalable tests, allowing users to run thousands of tests in parallel. Testim also provides root causes analysis at your fingertips to enable fast and effective troubleshooting of issues.
Moreover, with its self-improving AI capabilities with Smart Locators, reduces the need for maintenance while eliminating flaky tests that waste resources. This efficiency is geared to help you write stable tests faster.
Testim integrates easily with existing tools and processes. This flexibility is achieved by providing users the ability to customize integrations with code, especially with its REST API. Some common and popular integrations include Bamboo, Circle CI, TeamCity, GitLab, Visual Studio, Jenkins, Azure DevOps, Trello, Slack, and so on.
Testim’s Community version is free while it offers customized pricing upon request for Essentials and Professionals versions.
Datadog is a cloud-based infrastructure monitoring tool that assists IT administrators maintain the overall health of their networks, extending beyond cloud service models to incorporate serverless ecosystems.
Datadog is feature-rich to supports any service stack or application layer, whether its monitoring the health of the CI pipeline or maintaining regulatory compliance transparency through audits across pipelines. It facilitates cloud migration and digital transformation with tools that enable collaboration among business, operations, and development teams.
Datadog provides security, network, database, and synthetic monitoring in addition to log management and optimizing application performance. With real user monitoring, Datadog allows teams to monitor user journeys, especially frontend performance in one place. This provides an integrated view of running services and IT programs across a network, including a comprehensive view of serverless applications.
Datadog provides an abundance of features for robust application management. encompasses the ability to trace requests across distributed systems, and track and understand user behavior. You can schedule automated report generation and real-time alerts to fortify your system against digital threats.
When it comes to dashboards, Datadog offers administrators with two choices. It allows teams to quickly assemble a customized monitoring dashboard to accommodate any specialized need. Alternatively, they can choose the prefabricated dashboards that come with Datadog.
Datadog supports as many as 350 integrations with its variety of API services covering key network protocols such as SSH (Secure Shell), SNMP (Simple Network Management Protocol), and TCP (Transmission Control Protocol).
In addition to a 14-day free trial, Datadog offers three pricing tiers: Free, Pro ($15 per host/month), and Enterprise ($23 per host/month).
Appknox is an automated testing suite that provides on-demand mobile application security to enable businesses to detect and remediate vulnerabilities. AppKnox applies DevSecOps throughout the CI/CD lifecycle by scanning mobile apps during their development phase, during deployment and delivery, and even after publishing in app stores.
In so doing, it reduces the friction of adoption, complexity, manpower costs, and delivery timelines. Moreover, AppKnox offers a flexible engagement model that provides businesses with several deployment models and approaches to their security requirements. Its strategy is to use a smart system approach combined with expert human resources. From manual application testing, vulnerability assessment tools, issue tracking, and remediation calls.
With its vast API capabilities, AppKnox makes it easy to integrate into the application development cycle, providing a worthy API testing partner, whether it is for securing apps by STAST, DAST, or the server-side of things. This integration typically involves logic, data, and other relevant objects with other software applications.
AppKnox has three tiers, namely Essential, Professional, and Enterprise. Essential provides a one-time vulnerability assessment and targets organizations just getting started with mobile application security. On the other hand, Professional is ideal for businesses who seek unlimited vulnerability assessments and multiple updates on the same app while Enterprise is for banks and enterprises with mission-critical security needs.
AppKnox prices are available on quote.
As the Internet of Things has grown in popularity, the BevyWise IoT simulator is increasingly sought to test IoT applications and the messaging communication protocol (MQTT) that it relies on.
BevyWise allows engineers to test IoT applications with or without physical devices. They can either create templates effectively that act as placeholders for physical devices or simulate thousands of unique virtual devices in a matter of minutes.
BevyWise IoT simulator has four pricing tiers, which are differentiated by features supported and the number of clients permitted. However, they are standard pricing packages, which means you only pay once but use it in perpetuity.
Stream allows 1,000 clients and costs $599. River allows 5,000 clients and costs $1,799. Sea allows 10,000 clients and costs $2,999. Ocean allows unlimited clients but you need to contact sales for a price quotation.
Shodan is like a search engine for internet-connected devices. It enables users, most especially security experts discover information and make more intelligent decisions using a variety of filters. Shodan helps to safeguard IoT endpoints and internet-facing devices like servers, routers, thermostats, maritime satellites, and even baby monitors.
Moreover, due to its public-facing nature, it readily finds worthy use cases in industries as far-fetched and dispersed as transportation, energy, power, water treatment facilities, and much more. In that regard, Shodan also helps identify systems and sensitive devices that shouldn’t be publicly accessible for security purposes such as traffic lights, security cameras, industrial supervisory control and data acquisition (SCADA) systems,
As an IoT search engine, Shodan can be used to keep track of activities on these and users’ devices by launching scans and receiving real-time alert notifications, especially when something goes awry. Hence, it allows users to gain complete visibility with connected devices and subsequently troubleshoot vulnerabilities.
This includes identifying phishing websites, data leaks on the cloud, and compromised databases.
Shodan can be used to limit IoT devices to local-only connections because they don’t typically need to be online or share information with other devices. Shodan provides users with convenience by offering both a command-line interface and a website app for monitoring.
It has a developer-friendly API which allows it to integrate with several communication mediums to provide notification options such as Gitter, PagerDuty, Slack, Discord, MS Teams, Telegram, and so on.
Shodan has three options tiers, namely Freelancer, Small Business, and Corporate priced at $69 per month, $359 per month, and $1099 per month respectively.
Sensu is a SaaS, cloud-based service that allows you to future-proof your cloud infrastructure with performance monitoring at scale. In addition, Sensu enables you to build event pipelines to automate workflows tailored to the needs of different processes in the business.
These monitoring solutions aim to provide enterprises with in-depth observability across protocols and systems, ranging from bare metal to Kubernetes orchestrations. Hence, it allows the automation of registration and deregistration of connected devices, servers, containers apps, and services. This visibility is primarily achieved through Sensu’s ability to eliminate data siloes.
Sensu is important in an age of dynamic infrastructures and provides automatic diagnoses and self-healing features to address this reality. Sensu also offers metrics, tracing, and logging features to address the gaps in observability due to our current dynamic infrastructures.
To make monitoring easier, Sensu has declarative configuration files to facilitate the codification of monitoring workflows. Moreover, these files can be treated as code repositories, for example, they can be versioned, shared, and viewed by team members.
Sensu embraces monitoring as code, which equally makes it extensible as an integration partner. This turn-key integration works with many cloud platforms such as Kubernetes, GCP, Azure, AWS, Docker, Red Hat OpenShift, and OpenStack, among others. It also allows for alerts and notifications through integration with incident management tools such as ServiceNow, Slack, Jira, and VictorOps.
For lack of a better word, Sensu has two pricing tiers: Sensu Go and Sensu Plus.
Sensu Go is free for up to 100 nodes. However, Sensu allows you to evaluate the product beyond 100 nodes using its free 14-day trial. Sensu Go Pro is suited for both SMBs and enterprise organizations and is priced at $3 per node/month. Sensu Go Enterprise is designed for large teams and costs $5 per node/month.
Like Sensu Go, Sensu Plus is also free. However, Sensu Plus offers more features such as DPM, metric and event retention. Unlike Sensu Go Pro, Sensu Plus Pro is priced higher at $5 per node/month. In the same vein, Sensu Plus Enterprise costs more than its Go counterpart at $8 per node/month.
Tcpdump is a command-utility tool that is provided by libpcab, a C/C++ library of procedures. It provides users with the ability to intercept and display traffic, especially packets from TCP/IP protocol, and troubleshoot traffic transmitted over a network.
It is essentially a packet sniffing tool and is ideal for examining traffic, especially on Linux, macOS, and other Unix-like operating systems. However, there is a version adapted for Windows called WinDump and it relies on WinPcap for packet capture. But unlike Tcpdump, WinPcap isn’t open source but is proprietary and owned by Riverbed Technology.
Tcpdump provides several features that include the capacity to list all interfaces, capture IP address packets, capture packets from specific interfaces, save and read packets from a file, and so on. Tcpdump gives users several options with flags, parameters, and regular expressions to change the format, order of execution, and even add a few programming concepts to the packet selection.
When these are specified, Tcpdump follows the instruction to capture the packets that satisfy the laid down test expressions and requirements.
Tcpdump is open source and free.
CloudTest enables organizations to prepare their environments for anticipated or predicted spikes in application loads. CloudTest helps you to gauge whether your system can adequately respond to unforeseen or sudden spikes in user activity.
It provides real-time application load and performance testing to help ensure your infrastructure has a dispersed workload. CloudTest also gives real-time feedback that makes it possible to quickly identify problems with better accuracy. In so doing, organizations are able to plan for events such as campaign promotions and holiday sales by subsequently bulletproofing their online infrastructure.
CloudTest is user-friendly, without any coding required to set variables, parameters, or validations. In addition, it also allows you to reuse and combine tests. Apart from performance testing, CloudTest can be integrated into the software development lifecycle, by allowing QA testers to automate CI/CD operation checks, and operations staff to evaluate performance at scale while empowering developers to test API services.
CloudTest integrates with CI/CD pipelines, along with offering the choice of either a fully managed service or a self-service solution.
Pricing for CloudTest is available upon request.
IBM Watson IoT Platform (IBM Bluemix) is a fully-managed, cloud-hosted platform that enables businesses to take advantage of data analytics to extract value from sensors and connected devices. Ultimately, the IBM Watson IoT Platform helps you effectively manage these IoT devices so your apps can benefit from their live and historical data using REST and real-time APIs.
IBM Watson IoT Platform (IBM Bluemix) empowers organizations to generate insights with visualization dashboards, and even create business models from the operation of billions of connected devices and endpoints. It provides a huge range of possibilities for analytic apps as diverse as weather data, blockchain capabilities, and Watson cognitive APIs that provide improved user experience with image recognition and natural voice interfaces.
It provides many tools and starting points to do so, allowing organizations to connect their device gateways to an IBM Cloud recipe using lightweight MQTTP or HTTP protocols. Its AI-driven analytics allows organizations to start small yet scale fast by processing IoT data quickly.
IBM Watson IoT Platform also comprises features that allow organizations to rethink their business strategy with IoT, like data management tools that facilitate enterprise asset management, gain greater control of complex environments, and streamline business operations across silos.
Watson IoT Platform service plans are convoluted and depend on a multitude of factors like data-transfer limits, usage-based billing, cloud-to-device-sends, and many more esoteric factors. It also has metrics like Data Exchanged, Data Analyzed, and Edge Data Analyzed that have tiered priced modeling depending on how their volume increases.
If you need to fully manage and secure a fleet or group of IoT devices, then AWS IoT Device Defender is the tool. It enables organizations to audit security policies and automate security assessments to ensure IoT configurations don’t deviate from best practices.
In addition to continuously monitoring IoT devices, AWS IoT Device Defender’s other key capabilities include authenticating devices, detecting anomalies, encrypting device data, and auditing device cloud-side configurations.
It employs machine learning algorithms to detect anomalies in device behavior, especially when they exceed manually-defined static thresholds. AWS IoT Device Defender sends alerts when it discovers security risks. This can occur under conditions such as when a disconnect or gap exists in IoT configurations, erroneous sharing of identity certificates across several devices or even having an improper device with a revoked certificate attempting to connect to the AWS IoT core.
Its security management duties encompass collecting and reporting security metrics. This, in turn, automatically triggers necessary remediation or mitigation operations such as rebooting or deploying the appropriate security patches.
AWS IoT Device Defender integrates with various Amazon services such as AWS IoT, Amazon CloudWatch, AWS Connected Vehicle Solution, Amazon Simple Notification Service (SNS), and much more.
In terms of pricing, there are no minimum fees or mandatory services - you only pay what you use with AWS IoT Device Defender. Therefore, the AWS Pricing Calculator is provided to give users an indication of the estimate they’ll be charged based on the architecture of your customized services.
However, several options include Audit pricing, Rules Detect pricing, and ML Detect pricing. In this vein, the AWS Free Tier provides limits for new customers on Audit (free for all devices in the fleet for the first month) and Rules Detect (1 million metric data points for the first month).
Alternatively, you can request a quote from the sales department.
The 10 Best IoT Testing Tools Summary
|From $1000/month||Visit Website|
14 days free trial
|From $15/user/month||Visit Website|
|Pricing upon request||Visit Website|
Bevywise IoT Simulator
Intelligent IoT simulation tool for testing and building IoT/MQTT applications
|Pricing upon request||Visit Website|
|From $69/month||Visit Website|
14 Days Free Trial
|From $5/node/month||Visit Website|
Free to use
|Pricing upon request||Visit Website|
|Pricing upon request||Visit Website|
Here are a few more that didn’t make the top list.
- Entrust - Uses enterprise-grade cryptography to assign secure digital identities to connected devices.
- IoTIFY - Feature-rich, cloud-based test automation platform for IoT devices.
- LoadRunner - Helps developers and QA teams simplify load testing with a wide range of protocols
- JMeter - Measure performance and load test functional behavior on static and dynamic resources
- NeoLoad - Scales and simplifies continuous performance testing
What Is IoT Testing?
IoT testing provides a standardized framework to ensure IoT devices are secure and work correctly. IoT testing validates that IoT applications have the proper functionality, performance, and network availability. IoT devices come in various shapes and forms, ranging from sensors, alarms, traffic monitoring technologies, wearable tech, and smart appliances like smart TV.
Therefore, IoT testing is important because IoT devices transmit sensitive data over the internet and have become a part of sensitive industries like healthcare tracking systems.
What Do You Think About This List?
I would like to get your thoughts and feedback on this IoT testing list, so kindly leave a comment.