Lumigo
Datadog
NewRelic
Amazon CloudWatch
AWS X-Ray
Dashbird
Epsagon
Google StackDriver
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
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.
Lumigo TensorFlowBefore 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 TensorFlow. 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
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 4 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. 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.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.