agent | Mainflux IoT Agent

I am getting a bad request response to my request. I have checked with an online JSON validator my dictionary data to be correct, and everything seems fine.

My code is the following:

I have the Jenkins node in Account A that builds the angular application For Deploying the dist folder I need to copy files from s3 to the angular instance. But the angular Instance is in Account B

Script:

aws --region us-west-2 ssm send-command --instance-ids i-xxxxxx --document-name AWS-RunShellScript --comment 'Deployment from Pipeline xxx-release-pipeline' --cloud-watch-output-config 'CloudWatchOutputEnabled=true,CloudWatchLogGroupName=SSMDocumentRunLogGroup' --parameters '{"commands":["aws --region us-west-2 s3 cp s3://xxxx/dist/*.zip /var/www/demo.com/html", "unzip -q *.zip"]}' --output text --query Command.CommandId

So when I run ssm send-command from node(in Account A) it shows Invalid Instance Id.

An error occurred (InvalidInstanceId) when calling the SendCommand operation

Jenkins node -> Account A Angular Instance(with ssm agent) -> Account B

In the pipeline for deploy stage I need to copy files from s3 to instance in Account B Is there a way to implement this use case in a better way with or without ssm?

When the Auto Scaling Group creates a new instances, the code from CodeDeploy is not downloaded and installed on a newly created EC2 instance.

I've followed the documentation here: https://docs.amazonaws.cn/en_us/codedeploy/latest/userguide/tutorials-auto-scaling-group-create-auto-scaling-group.html

And the last steps says

Install the CodeDeploy agent by following the steps in Install the CodeDeploy agent and using the Name=CodeDeployDemo instance tags.

My "user" script run on the new instance from the ASG (Auto Scaling Group) correctly installs and run the CodeDeploy agent (connecting to SSh to the machine and running a service codedeploy-agent status shows its running), but from there, I don't know how to tell CodeDeploy to deploy the code to that instance. (Or to run CodePipeline for that instance?)

Could you help me point into the right direction on what to do here? I'm happy to provide any details that are lacking here if you need any!

Thank you!

I don't understand how to apply hashicorp vault to inject secrets in my app.

The following link shows a couple of examples https://www.vaultproject.io/docs/platform/k8s/injector/examples

I used the environment variables example from the same post. But it seems not all the env variables are injected into the app. For instance, ENVs in one of my layouts don't seem to get applied meta property="og:title" content="#{ENV['NAME']}" - shows no value. But the app is running, /vault/secrets/... has files with contents.

Here's a part of the Deployment config of my app.

When there're multiple secrets/templates, the Deployment is going to look ugly.

There's absolutely no description for configmap example but this is probably what I should be using instead of env.

I'm running gitlab-ce on-prem with min.io as a local S3 service. CI/CD caching is working, and basic connectivity with the S3-compatible minio is good. (Versions: gitlab-ce:13.9.2-ce.0, gitlab-runner:v13.9.0, and minio/minio:latest currently c253244b6fb0.)

Is there additional configuration to differentiate between job-artifacts and pipeline-artifacts and storing them in on-prem S3-compatible object storage?

In my test repo, the "build" stage builds a sparse R package. When I was using local in-gitlab job artifacts, it succeeds and moves on to the "test" and "deploy" stages, no problems. (And that works with S3-stored cache, though that configuration is solely within gitlab-runner.) Now that I've configured minio as a local S3-compatible object storage for artifacts, though, it fails.

Our structure for a release in azure devops is to

deploy our app to our DEV environment. Kick off my Selenium (Visual Studio) tests against that environment. If passes, moves to our TEST environment. If fails/hard stop. We want to add new piece/functionality, starts same as above, Except instead of hard stop. 5) if default step fails, continue to next step. 6) New detail testing starts (turns on screen recorder)

The new detailed step has 'Agent Job' settings/parameters, I have the section "Run this job", set to "Only when previous job has failed".

My results have been, that if the previous/default/basic testing passed, the detailed step is skipped. As expected.

But if the previous step fails....the following new detailed step does not kick off.

Is it possible because the step is set up that if it fails hard stop and does not even evaluate the next step?

Or is it because the previous step says 'partially succeeded'. is this basically seen not as a failure?

I'm pretty new to AWS Lambda functions.

I'm trying to get a .xlsx file from a website and put it on a private Amazon S3 bucket.

The following code leads to a timeout when running the put_object function and I don't know how doing now ... What am I doing wrong? I'm so close...
This code works on our backend to write to a file.

After doing a restart to fix some performance issue on a 2017 SQL Server, couple of jobs (kicking off SSIS package) have been failing, all stuck pending execution state. Same issue persists when I manually start the job or execute the package from SSISDB.

The job is set to run using SQL Agent Service, other jobs running a T-Sql statement have been running fine.

I have created a webhook for WhatsApp Chatbot using Nodejs following this online article: https://dev.to/newtonmunene_yg/creating-a-whatsapp-chatbot-using-node-js-dialogflow-and-twilio-31km

The webhook is linked to Twilio Sandbox for WhatsApp.

I have also provided the DialogFlow Admin API permission to service account on Google Cloud Platform.

When i send a new message from WhatsApp, its received on Twilio and the webhook is triggered but i am getting this error "Error: 7 PERMISSION_DENIED: IAM permission 'dialogflow.sessions.detectIntent' on 'projects/xxxx-xxx-xxxx/agent' denied." on the console on my local machine (i am using Ngrok to tunnel the localhost build to the web and using that URL as the webhook URL in Twilio).

We have a client demo for this feature so any quick help is appreciated. I am placing my dialog flow code and controller code below

dialogflow.ts