Scout Reviews

Amazon SageMaker Reviews

Scout mentions (3)

• Suggestions for how to reduce memory usage

  Install an apm. I recommend Scout. It will report to you which requests allocate a large number of objects. NewRelic is nice too but I find it to be too much to configure and setup. Scout works immediately out of the box and gives you some pretty good info. Source: over 1 year ago

• How I Used Render to Scale My Microservices App With Ease

  Scout APM – provides application performance monitoring (APM) for Ruby, PHP, Python, Node.js, and Elixir-based services. - Source: dev.to / over 1 year ago

• Understand Django: Go Fast With Django

  To see what these tools can be like for free, you might want to check out Datadog which has a free tier (Datadog is not a sponsor, I've just used their service, enjoyed it, and know that it's free for a small number of servers). Other popular vendors include Scout APM and New Relic. - Source: dev.to / over 2 years ago

Amazon SageMaker mentions (37)

• Quantum Convolutional Neural Networks

  Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / about 1 month ago

• Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations

  Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / 2 months ago

• Sentiment Analysis with PubNub Functions and HuggingFace

  At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 3 months ago

• Beginning the Journey into ML, AI and GenAI on AWS

  Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 6 months ago

• Technical Architecture for LLMOps

  Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago