Lumigo Reviews

1. Rony

   over 5 years ago
   Just works out of the box.

   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.

   🏁 Competitors: AWS X-Ray, Epsagon
2. Efraim MK

   almost 6 years ago
   Reduces the clutter when debugging Serverless applications

   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.

   🏁 Competitors: NewRelic, AWS X-Ray, Amazon CloudWatch

   👍 Pros:    Instant alerts|Easy to use|Easy log correlation

   👎 Cons:    Missing cli
3. Daniel Limon

   · CEO at TalkMeUp · almost 6 years ago
   APM + dist-tracing for serverless

   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 !

   🏁 Competitors: Datadog, AWS X-Ray, NewRelic, Amazon CloudWatch, AppDynamics

   👍 Pros:    Seamless onboarding|Pre-configured serverless alerts|100% automated distributed tracing

   👎 Cons:    Does not support on premise servers

Python Reviews

Lumigo mentions (14)

• Tracing On Kubernetes

  You can do so at this link: https://lumigo.io/. - Source: dev.to / over 2 years ago

• The biggest problem with EventBridge Scheduler and how to fix it

  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 / over 3 years ago

• The Risks of Moving Too Quickly with Serverless Development

  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 3 years ago

• Serverless takeaways

  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 3 years ago

• How to see the event that triggered a lambda?

  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 3 years ago

Python mentions (299)

• How to Build a Dependency Map of a Legacy Codebase Using AI Tools

  137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago

• How to Prepare a Legacy Codebase for AI-Assisted Refactoring

  For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago

• Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)

  Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await — no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago

• Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing

  **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - “Save this data” - “Get this data” - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago

• Asyncio: Interview Questions and Practice Problems

  Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago