Honeycomb

FEBRUARY 26, 2025

Among these signals, OpenTelemetry metrics are crucial in helping engineers understand their systems. In this blog, well explore OpenTelemetry metrics, how they work, and how to use them effectively to ensure your systems and applications run smoothly. What are OpenTelemetry metrics?

Metrics 69

Metrics Engineering Trends System 69

CIO

FEBRUARY 25, 2025

CIOs who bring real credibility to the conversation understand that AI is an output of a well architected, well managed, scalable set of data platforms, an operating model, and a governance model. Stories and metrics matter. CIOs have shared that in every meeting, people are enamored with AI and gen AI.

Technical Review 190

Technical Review Artificial Inteligence How To Recruiting 190

AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost. Review the model response and metrics provided.

Generative AI 132

Generative AI Artificial Inteligence AWS Technical Review 132

Hacker Earth Developers Blog

DECEMBER 25, 2024

For instance, assigning a project that involves designing a scalable database architecture can reveal a candidates technical depth and strategic thinking. Here are several key metrics and methods to evaluate the effectiveness of your HiPo identification process: 1.

Technical Review 130

Technical Review Software Review Leadership Metrics 130

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands. Architecture The following diagram illustrates the solution architecture.

Generative AI 92

Generative AI Artificial Inteligence Metrics AWS 92

AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. Word information lost (WIL) – This metric quantifies the amount of information lost due to transcription errors.

Media 117

Media Video Artificial Inteligence Generative AI 117

CIO

MARCH 26, 2025

He says, My role evolved beyond IT when leadership recognized that platform scalability, AI-driven matchmaking, personalized recommendations, and data-driven insights were crucial for business success. A high-performing database architecture can significantly improve user retention and lead generation.

Real Estate 159

Real Estate Leadership Study Technology 159

AWS Machine Learning - AI

NOVEMBER 1, 2024

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority. However, there are considerations to keep in mind.

Generative AI 142

Generative AI AWS Artificial Inteligence Budget 142

AWS Machine Learning - AI

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Although the implementation is straightforward, following best practices is crucial for the scalability, security, and maintainability of your observability infrastructure.

Generative AI 113

Generative AI Applications AWS Knowledge Base 113

Cloudera

DECEMBER 4, 2024

The Cloudera AI Inference service is a highly scalable, secure, and high-performance deployment environment for serving production AI models and related applications. System metrics, such as inference latency and throughput, are available as Prometheus metrics. Data teams can use any metrics dashboarding tool to monitor these.

Artificial Inteligence 73

Artificial Inteligence Architecture Machine Learning Metrics 73

AWS Machine Learning - AI

NOVEMBER 15, 2024

Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. The following architecture diagram demonstrates the request flow for AskAI.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

AWS Machine Learning - AI

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality.

Generative AI 111

Generative AI Video Engineering Artificial Inteligence 111

Dzone - DevOps

MARCH 18, 2024

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Predictive analytics : AI can leverage historical data to predict usage trends, identify potential bottlenecks, and offer proactive solutions for enhancing the scalability and reliability of APIs and microservices.

Microservices 96

Microservices Architecture Load Balancer Cloud 96

Honeycomb

APRIL 23, 2025

Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. Metrics-heavy shops are used to blaming custom metrics for their cost spikes, and for good reason. If you use a lot of custom metrics, switching to the 2.0 Every multiple pillars platform can handle your metrics, logs, traces, errors, etc.,

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

Openxcell

JANUARY 20, 2025

The inner transformer architecture comprises a bunch of neural networks in the form of an encoder and a decoder. USE CASES: To develop custom AI workflow and transformer architecture-based AI agents. With over 100 built-in metrics, it offers extensive monitoring and evaluation tools for comprehensive LLM fine-tuning.

Artificial Inteligence 105

Artificial Inteligence Tools Open Source Architecture 105

Xebia

FEBRUARY 23, 2025

And data.world ([link] a company that we are particularly interested in because of their knowledge graph architecture. By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

AWS Machine Learning - AI

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Knowledge Base 103

Knowledge Base Applications Artificial Inteligence Generative AI 103

AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we evaluate different generative AI operating model architectures that could be adopted. Generative AI architecture components Before diving deeper into the common operating model patterns, this section provides a brief overview of a few components and AWS services used in the featured architectures.

Generative AI 98

Generative AI Organization Enterprise Artificial Inteligence 98

AWS Machine Learning - AI

JANUARY 13, 2025

The architecture seamlessly integrates multiple AWS services with Amazon Bedrock, allowing for efficient data extraction and comparison. The following diagram illustrates the solution architecture. These challenges highlighted the need for a more streamlined and efficient approach to the submission and review process.

Education 112

Education Report Technical Review Generative AI 112

AWS Machine Learning - AI

MARCH 13, 2025

Model Variants The current DeepSeek model collection consists of the following models: DeepSeek-V3 An LLM that uses a Mixture-of-Experts (MoE) architecture. These models retain their existing architecture while gaining additional reasoning capabilities through a distillation process. deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

Artificial Inteligence 107

Artificial Inteligence AWS Machine Learning Load Balancer 107

TechCrunch

DECEMBER 17, 2021

Powered by machine learning, cove.tool is designed to give architects, engineers and contractors a way to measure a wide range of building performance metrics while reducing construction cost. It’s a prime example of a scalable business that employs machine learning and principled leadership to literally build a better future.”.

Sustainability 253

Sustainability Construction Tools Artificial Inteligence 253

TechCrunch

JULY 8, 2022

As a result, the emphasis is often around financial performance, drilling down to detailed metrics such as gross margins, sales rep productivity, LTV, CAC, payback periods and more. Getting the tech architecture to scale is critical. The focus of diligence tends to be on aspects of a product that can be measured.

Technical Review 218

Technical Review Software Review Development Team Review Fractional CTO 218

CIO

DECEMBER 20, 2024

Combining cost visibility tools with automation can help organizations maintain financial efficiency without affecting the performance or scalability of Azure environments. It captures metrics, logs, and traces to help identify performance bottlenecks, detect failures, and forecast resource needs.

Azure 88

Azure Analysis Cloud Resources 88

AWS Machine Learning - AI

MARCH 7, 2025

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. The following diagram illustrates the solution architecture. You can create a decoupled architecture with reusable components. Connect with him on LinkedIn.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

AWS Machine Learning - AI

NOVEMBER 7, 2024

You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. A centralized service that exposes APIs for common prompt-chaining architectures to your tenants can accelerate development. As a result, building such a solution is often a significant undertaking for IT teams.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

TechCrunch

OCTOBER 27, 2020

“We’re building out our service with innovative architecture and unique capabilities that allows full-featured fast SQL directly on raw data. Rockset supplied a few metrics to illustrate this. Series D as scalable database resonates. He hoped to change that with Rockset. And we’re offering this as a service.

Analytics 216

Analytics Data Metrics Scalability 216

AWS Machine Learning - AI

SEPTEMBER 26, 2024

To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. In this post, we share an ML infrastructure architecture that uses SageMaker HyperPod to support research team innovation in video generation.

Case Study 119

Case Study Video Training Scalability 119

AWS Machine Learning - AI

APRIL 23, 2024

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

Knowledge Base 126

Knowledge Base Scalability Applications Generative AI 126

AWS Machine Learning - AI

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

AWS Machine Learning - AI

APRIL 10, 2025

The following diagram illustrates the solution architecture. Under Input data , enter the location of the source S3 bucket (training data) and target S3 bucket (model outputs and training metrics), and optionally the location of your validation dataset. To do so, we create a knowledge base.

Case Study 123

Case Study Artificial Inteligence Study Generative AI 123

AWS Machine Learning - AI

MARCH 11, 2025

DeepSeek-R1 uses a Mixture of Experts (MoE) architecture and is 671 billion parameters in size. The MoE architecture allows activation of 37 billion parameters, enabling efficient inference by routing queries to the most relevant expert clusters. For more details, see Metrics for monitoring Amazon SageMaker AI with Amazon CloudWatch.

Artificial Inteligence 77

Artificial Inteligence AWS Generative AI Metrics 77

Apiumhub

FEBRUARY 2, 2021

Let’s continue with our Software Architecture Journey: Key lessons learned series. This month Apiumhub team has interviewed Eoin Woods – Global Software Architecture Summit Speaker and CTO at Endava, where he leads the technical strategy for the firm, guides capability development and directs investment in emerging technologies.

Architecture 84

Architecture Software Software Engineering Conference 84

Hacker Earth Developers Blog

DECEMBER 4, 2024

Lack of standardized metrics Interpersonal skills are inherently difficult to measure, and many organizations lack standardized methods or benchmarks for assessing them. Example: Ask a group of candidates to design an architecture for a scalable web application.

Recruiting 130

Recruiting Technical Review Software Review Exercises 130

Apiumhub

DECEMBER 13, 2022

I recently started studying styles of software architecture in different ways: by reading books by renowned architects and by trying to go a step further in my professional career. What I will do is summarize what I have been reading and learning about the different styles of software architecture categorized as monolithic or distributed.

Architecture 83

Architecture Software Review Software Weak Development Team 83

AWS Machine Learning - AI

MARCH 3, 2025

Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others. These recipes are processed through the HyperPod recipe launcher, which serves as the orchestration layer responsible for launching a job on the corresponding architecture.

Artificial Inteligence 98

Artificial Inteligence Generative AI AWS Training 98

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. Overview of solution The first thing to consider is that different metrics require different computation considerations.

Artificial Inteligence 140

Artificial Inteligence AWS Lambda Metrics 140