Lumigo
Datadog
NewRelic
Amazon CloudWatch
AWS X-Ray
Dashbird
Epsagon
Google StackDriver
Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
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.
Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
Lumigo ActiveloopNo features have been listed yet.
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, Lumigo should be more popular than Activeloop. It has been mentiond 14 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 / over 2 years 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 itโs invoked by the Lambda service, as you can see from the trace collected in Lumigo:. - Source: dev.to / over 3 years 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 3 years 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 3 years ago
Weโre using https://lumigo.io/ to trace our lambda functions and itโs a great deal in terms of what youโre paying and what youโre getting. Source: over 3 years ago
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 3 years ago
u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 4 years ago
Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
Scale - Get human tasks done with just one line of code.