Perficient

NOVEMBER 26, 2024

The Model-View-ViewModel (MVVM) architectural pattern is widely adopted in Android app development. Unit testing each layer in an MVVM architecture offers numerous benefits: Early Bug Detection: Identify and fix issues before they propagate to other parts of the app. Data Storage: Test how the Repository stores and retrieves data.

Testing 80

Testing Software Review Authentication Analysis 80

CIO

APRIL 1, 2025

Using Zero Trust Architecture (ZTA), we rely on continuous authentication, least privilege access, and micro-segmentation to limit data exposure. He also stands by DLP protocol, which monitors and restricts unauthorized data transfers, and prevents accidental exposure via email, cloud storage, or USB devices.

Data 88

Data Authentication Compliance Artificial Inteligence 88

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. Evaluation, on the other hand, involves assessing the quality and relevance of the generated outputs, enabling continual improvement. versions, catering to different programming preferences.

Generative AI 99

Generative AI Applications AWS Knowledge Base 99

Apiumhub

JULY 16, 2023

In their thought-provoking presentation titled “Pragmatic Approach to Architecture Metrics” at GSAS’22 organized by Apiumhub , Sonya Natanzon, and Vlad Khononov delivered valuable insights. The success of software architecture hinges upon its adaptability to meet evolving business requirements. Code Coverage 2.

Metrics 69

Metrics Architecture Software Review Systems Review 69

OverOps

MAY 7, 2019

It seems like everyone is into microservices these days, and monolith architectures are slowly fading into obscurity. In monolithic applications, it is reflected in the separation of Presentation, Business and Data Layers in a typical 3-tier architecture. Editor’s Note: This post was originally published on May 5, 2016.

Microservices 256

Microservices Weak Development Team Architecture SDLC 256

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 first data source connected was an Amazon Simple Storage Service (Amazon S3) bucket, where a 100-page RFP manual was uploaded for natural language querying by users.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

AWS Machine Learning - AI

MARCH 20, 2025

Moreover, Amazon Bedrock offers integration with other AWS services like Amazon SageMaker , which streamlines the deployment process, and its scalable architecture makes sure the solution can adapt to increasing call volumes effortlessly. This is powered by the web app portion of the architecture diagram (provided in the next section).

Generative AI 70

Generative AI Artificial Inteligence Metrics AWS 70

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 101

Generative AI Video Engineering Artificial Inteligence 101

TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

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 85

Knowledge Base Applications Artificial Inteligence Generative AI 85

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 100

Generative AI CTO Coach AWS Artificial Inteligence 100

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 90

Education Report Technical Review Generative AI 90

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 101

Generative AI AWS Enterprise Artificial Inteligence 101

AWS Machine Learning - AI

APRIL 9, 2025

By monitoring utilization metrics, organizations can quantify the actual productivity gains achieved with Amazon Q Business. Tracking metrics such as time saved and number of queries resolved can provide tangible evidence of the services impact on overall workplace productivity.

Weak Development Team 68

Weak Development Team Metrics AWS Systems Review 68

AWS Machine Learning - AI

NOVEMBER 13, 2024

The following diagram illustrates the solution architecture: The steps of the solution include: Upload data to Amazon S3 : Store the product images in Amazon Simple Storage Service (Amazon S3). Distance metric : Select Euclidean. In this post, you will use OpenSearch Serverless as the vector database for the image embeddings.

AWS 104

AWS Engineering Serverless eCommerce 104

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 96

Generative AI Applications Technical Review Software Review 96

Xebia

FEBRUARY 23, 2025

In many companies, data is spread across different storage locations and platforms, thus, ensuring effective connections and governance is crucial. And data.world ([link] a company that we are particularly interested in because of their knowledge graph architecture. Poor data quality automatically results in poor decisions.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

Honeycomb

APRIL 16, 2025

ZIRP was in full bloom, infrastructures were comparatively simpler (and thus cheaper), and a lot of people were pursuing a best of breed tooling strategy where they tried to pick the best tracing tool, best metrics tool, best APM, best RUM, etc., even if they were all from different vendors. All of which drove up costs.

Weak Development Team 105

Weak Development Team Systems Review Software Review Technical Review 105

Ivanti

FEBRUARY 24, 2025

But without enforceable standards and metrics, its difficult for IT and security leaders to assess whether and how vendors are carrying out this secure by design approach. You look at the solutions entire architecture and consider security in all areas, such as architecture design, storage, connectivity, usage, and so on.

Security 49

Security Software Metrics Architecture 49

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. Mao and co-founder Rob Skillington (CTO) founded Chronosphere on the back of early work that they started at Uber, where they built an observability platform very specific to Uber’s needs as a business.

Cloud 209

Cloud Sport Open Source Machine Learning 209

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 125

Artificial Inteligence AWS Lambda Metrics 125

CIO

JANUARY 20, 2023

According to a recent IDC whitepaper , leaders saw on average two and a half times better results than other organizations in many business metrics. Data formats and data architectures are often inconsistent, and data might even be incomplete. Most organizations don’t end up with data lakes, says Orlandini.

Data 203

Data Compliance Architecture Technical Review 203

Netflix Tech

FEBRUARY 14, 2025

Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset. The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table.

Systems Review 66

Systems Review Technical Review Data Metrics 66

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. meta-llama/Llama-3.2-11B-Vision-Instruct

Artificial Inteligence 83

Artificial Inteligence AWS Machine Learning Load Balancer 83

CIO

OCTOBER 23, 2023

With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

Sustainability 190

Sustainability Data Center Technical Review Energy 190

CloudGeometry

MARCH 3, 2022

Second, there is no one-size-fits-all SaaS architecture (the second principle is a corollary of the first). The challenge is to build common ground between business and architecture so as to translate business assumptions into critical technical solution inputs. This is known as a unit metric.

Metrics 130

Metrics Architecture Cloud Strategy 130

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 78

Artificial Inteligence Generative AI AWS Training 78

Netflix Tech

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics.

Metrics 118

Metrics Systems Review Storage Weak Development Team 118

CIO

JULY 18, 2022

A key challenge with organizational alignment is communicating across all departments the goals, metrics, and benefits of a process or function. The recognition of data’s value to a business has led to many metrics and measures focused on data and its quality. Departmental or individual recognition and rewards.

Data 158

Data Metrics Culture Transportation 158

Cloudera

JULY 19, 2023

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. Cisco has multiple reference architectures for running Ozone.

Storage 70

Storage Performance Hardware Architecture 70

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. Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. The following diagram illustrates the solution architecture.

Generative AI 78

Generative AI Technical Review Insurance Policies 78

Honeycomb

NOVEMBER 25, 2024

Honeycomb’s SLOs allow teams to define, measure, and manage reliability based on real user impact, rather than relying on traditional system metrics like CPU or memory usage. Instead, they consolidate logs, metrics, and traces into a unified workflow.

Continuous Delivery 59

Continuous Delivery Metrics Engineering Fractional CTO 59

Xebia

APRIL 14, 2023

Metric tons of carbon dioxide equivalents (MTCO2e): The unit of measurement for calculating impact. Architecture Region selection: AWS regions are running datacenters on local grids. AWS Architecture Blog has a blog post on How to select a Region for your workload based on sustainability goals. This will reduce emissions.

Sustainability 130

Sustainability Cloud AWS Energy 130

AWS Machine Learning - AI

MARCH 20, 2025

Traditionally, documents from portals, email, or scans are stored in Amazon Simple Storage Service (Amazon S3) , requiring custom logic to split multi-document packages. This architecture enhances automated data processing, efficient retrieval, and seamless real-time access to insights.

Data 100

Data Generative AI Artificial Inteligence Compliance 100

AWS Machine Learning - AI

MARCH 3, 2025

Hybrid architecture with AWS Local Zones To minimize the impact of network latency on TTFT for users regardless of their locations, a hybrid architecture can be implemented by extending AWS services from commercial Regions to edge locations closer to end users. This is illustrated in the following figure.

AWS 72

AWS Artificial Inteligence Technical Review Systems Review 72

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. For Job name , enter a name for the fine-tuning job.

Case Study 102

Case Study Artificial Inteligence Study Generative AI 102

Altexsoft

MAY 27, 2020

Machine learning production pipeline architecture. Here we’ll look at the common architecture and the flow of such a system. This storage for features provides the model with a quick access to data that can’t be accessed from the client. We’ll break the process by the actions, outlining main tools used for specific operations.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89