neptune.ai
Algorithmia
Comet.ml
Weights & Biases
Managed MLflow
Spell
MCenter
5Analytics
Lumigo
Datadog
Dashbird
NewRelic
AWS X-Ray
Amazon CloudWatch
Epsagon
Sentry.io
Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.
Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code
Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.
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.
neptune.ai LumigoOnly negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group
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, neptune.ai should be more popular than Lumigo. It has been mentiond 23 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.
Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / 14 days ago
Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 4 months ago
Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 9 months ago
There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 10 months ago
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
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
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.
Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
Dashbird - End-to-end observability & debugging platform for serverless applications.
Weights & Biases - Developer tools for deep learning research
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.
