iot-devices | Helper library for interfacing with devices in IoT projects | iOS library

The immediate issue I am trying to overcome is that my aws-lambda function is not connecting to my broke using the js MQTT library. I am able to use this library in a local node environment to connect, just not in the aws-lambda function.

I have created a zip file from this repo: https://github.com/JordanKlaers/AlexaMQTT

That I uploaded to my lambda function. I am using the exported function from index.js.

Everything works well except for the part where it does not connect to the broker/client (line 83 in index.js) When I run oldIndex.js from the repo I linked (which is just the promise function that connects, from the aws-lambda function) in my local node environment it connects and things run correctly.

I dont know how to create a minimum reproducible sketch because its success is based on interacting with hardware. I did create the "oldIndex.js" as a minimum sketch to show that at least the function to connect works. I have included logs of the lambda function to show that it works as expected up to the attempt to connect.

The only thing I can speculate would be some issue with my permissions for the role used with the lambda function but I have researched and added different policies to my role but that hasnt helped.

Here are the logs from the function when called (which shows that it gets to the promise and attempts to connect but doesnt succeed)

I had done almost everything myself, but got some final clarification on my approach from this tutorial so I not sure what else Im not considering/missing.

I'm using the Linux JVM Debugger for IntelliJ by At Sebak(https://plugins.jetbrains.com/plugin/7738-embedded-linux-jvm-debugger-raspberry-pi-beaglebone-black-intel-galileo-ii-and-several-other-iot-devices-) to run my Javalin Api with Pi4J Library's Remotely on my Raspberry Pi.

My question is, Where can i find or set the Pi directory where the Linux Debugger runs.(so i can put files in the directory for the Api to open)

The data source is from Databricks Notebook demo:Five Spark SQL Helper Utility Functions to Extract and Explore Complex Data Types!

But when I try these code on my own laptop, I always get errors.

First, load JSON data as DataFrame

Context: Each customer can have 100-1000 IoT-devices behind NAT. We have multiple customers. The aim is to manage these devices from outside. Devices use CoAP protocol, which uses by default udp.

There are few constraints.

• It is not possible to activate Port-Forwarding.
• It is not possible to open a VPN connection.
• Any changes in local network of IoT devices are not possible.

Problem We'd like to open anytime a connection to device from outside. But there is the NAT which prevents it.

Options As I understand, the device has to open initial request in order to communicate.

Which of the following options is the best one regarding scalability and efficiency?

1. Each node sends udp pings in order to keep NAT connection open.
2. Each node uses TCP and sends keepalive to keep NAT connection open.
3. Each node communicates with udp to local proxy behind NAT. The proxy does mapping from coap to http. The proxy establishes connection to server with TCP and it sends keepalive in order to keep NAT connection open.
4. Same as option 3 but the local proxy uses WebSocket instead normal TCP.

Thank you very much

I am looking at serverless architecture to process some customer data. The process itself is probably quite quick, but for various reasons I would like the cloud service provider to gurantee executional isolation. So far, I've talked to a rep from Amazon, who said that Amazon Lambda are not effectively isolated, and the lambda container may end up being reused.

Effectively, when running a function and, say, writing something to memory or disk (here we might not have control, as part of the solution would let customers execute arbitrary code) I would like a sandbox isolation gurantee.

I've read that Microsoft was going to offer such isolation, but apart from a news story, I couldn't find and concrete information. There they alude to extra costs of sandboxing functions for example.

So is there any provider that could gurantee executional isolation?