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.
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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, neo4j should be more popular than Lumigo. It has been mentiond 27 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 / 6 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 / over 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
Neo4j: An ACID-compliant graph database with a high-performance distributed architecture. Ideal for complex relationship and pattern analysis in domains like social networks. - Source: dev.to / 4 months ago
The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are... - Source: dev.to / 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago
Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ - are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now. Source: about 1 year ago
For organizations and their applications that are designed to detect fraud, like International Consortium of Investigative Journalists, or try to improve customer experience via personalization, as in the case of Tourism Media, a NoSQL graph database like Neo4j is a good match. In these kinds of use cases, the quantity of data we're dealing with is enormous, and the pattern we're searching for in the data is often... - Source: dev.to / about 1 year ago
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