Lumigo is a monitoring and troubleshooting platform for serverless and distributed environments.
Monitoring - Get a comprehensive overview of the health of your entire system. See transactions, functions and managed services in a single view, making it easy to ensure your application is performing optimally or to identify necessary configuration or performance optimizations.
Troubleshooting and Debugging - Understand the story of every transaction from beginning to end. Get alerted as soon as an issue occurs and instantly drill down to see the issue in the context of an end-to-end transaction. No more wading through endless log streams. Quickly deduce business impact and find the root cause.
Alerts - With preconfigured smart alerting that works straight out of the box, you can remove that task from your dev backlog items, confident that you'll always be the first to know about critical issues in your application.
Live architecture map - With an auto-generated, always up to date system map, based on real-time execution, team managers and architects get a powerful visual tool for monitoring system architecture, driving architectural discussions and aiding new employee onboarding.
Cost analysis - Take full advantage of the cost-effectiveness of serverless computing with a granular cost breakdown of every component of your application. Quickly identify areas of inefficiency and optimize system resources.
Before using Lumigo I worked with clients on all sorts of hacks to debug Serverless Apps. This involved cluttering the code base with logs and deciphering the output on CloudWatch. A fellow consultant told us about his success with Lumigo. We decided to give it a go. Within minutes, our customers started to enjoy meaningful, actionable insights. All our clients now probably enjoy a reduction of about 60 percent in our time-to-response has been cut by about 60 percent.
I've been using Lumigo in the past year. It's been helping me find underline issues that are much harder to find compared to cloudwatch, it puts everything in a unified view and reduces the need to move between a list of logs in CloudWatch. I like the alerts that come out of the box and especially the integration with external tools, noo need for me to write any Lambda to interact with my Slack channel.
Best onboarding of an APM I've seen. No code changes and literally 5 clicks. Really helps the team spot production glitches and understand root cause immediately.
I love the idea of presenting distributed system flow via visual maps !
Based on our record, GitHub CLI should be more popular than Lumigo. It has been mentiond 104 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can do so at this link: https://lumigo.io/. - Source: dev.to / 5 months ago
Luckily, we just need to make sure the target Lambda function (for the schedule) receives the name of the schedule as part of its invocation event. Because the onSuccess function would receive this as requestPayload when it’s invoked by the Lambda service, as you can see from the trace collected in Lumigo:. - Source: dev.to / about 1 year ago
No Indicators of Success - As much as we'd all like it, observability tools don't automatically track your business metrics. You can add APM vendors like BaseLime, Lumigo, and DataDog to your account, but unless you intentionally add meaningful metrics to track your KPIs, you're left in the dark. Metrics tend to fall by the wayside in many scenarios where speed is the primary objective. No business metrics mean... - Source: dev.to / over 1 year ago
Lumigo: Lumigo is similar to Datadog, but the main different is that lumigo focuses on traceability. The more incredible feature it is the graphs and the following to the transaction to the time of live. - Source: dev.to / over 1 year ago
We’re using https://lumigo.io/ to trace our lambda functions and it’s a great deal in terms of what you’re paying and what you’re getting. Source: over 1 year ago
This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / 3 months ago
You might be interested in GitHub's cli tool, which is open source, if you want to access GitHub without running their proprietary JS code. https://cli.github.com/. - Source: Hacker News / 4 months ago
👉 Note: This script uses the GitHub CLI. So make sure you've installed that if you haven't already. Instructions here. - Source: dev.to / 4 months ago
To use a proper dynamic auth for ghcr.io you can create a "credential helper" and then it is supported by flux, see here: https://fluxcd.io/flux/cheatsheets/oci-artifacts/#authentication Unfortunately the "official" credential helper for ghcr.io doesn't exist. I use this simple script as a helper: https://gist.github.com/pkit/a98411d21ecc9293066f4579088187d1 Which requires gh cli to be installed. Source: 6 months ago
Two CLI tools I install right away are the GitHub CLI (via brew) and the Netlify CLI (via npm). - Source: dev.to / 6 months ago
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