Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. through our AWS integrations and monitoring support.

AWS 147

AWS Artificial Intelligence Best Practices Lambda 147

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. AWS Cognito, for example, is billed as an always up-to-date authentication service that complies with rigorous industry standards. Connecting IoT devices (for example, AWS IoT Device Management ).

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. billion in 2020 to $4.1 Optimized system performance.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

All Things Distributed

NOVEMBER 30, 2016

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Scalegrid

JANUARY 11, 2024

Native tools, such as CloudWatch from AWS, have more extensive integrations and provide comprehensive protection for data in the cloud compared to their third-party counterparts. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106