Xebia

JUNE 7, 2022

Their focus was to build a solution that makes it easier for development teams to build Microservice architecture-based applications and deploy those to Azure. What are the features that development teams want when building and hosting microservices? Microservices using Dapr in Azure Container Apps.

Azure 130

Azure Microservices Serverless Applications 130

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Data Security Technical Review 124

TechCrunch

JUNE 1, 2022

Today, thanks to the cloud, microservices, distributed applications, global scale, real-time data and deep learning, new database architectures have emerged to solve for new performance requirements. We now have different systems for fast reads and fast writes.

Serverless 245

Serverless Enterprise Microservices Open Source 245

CIO

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. Wafaa Mamilli, chief information and digital officer of global animal health business Zoetis describes it well: “A platform model is more than architecture.

Leadership 218

Leadership IoT SDLC Artificial Inteligence 218

Perficient

NOVEMBER 6, 2024

Whether it’s integrating third-party services, building microservices, or enabling dynamic content for web and mobile applications, APIs are everywhere. Unlike custom API architectures, JSON API provides rules for how resources are fetched and manipulated over HTTP. Headless CMS Integration In headless CMS architectures (e.g.,

eCommerce 52

eCommerce Microservices Technology Mobile 52

TechCrunch

OCTOBER 7, 2021

Specifically, they saw an opportunity to address a particular gap: Uber built its own observability platform from the ground up to handle its particular mix of microservices and containers because, as Mao described it, the Googles of the world had built their own, “so we followed the same path.”

Cloud 209

Cloud Sport Open Source Artificial Inteligence 209

Netflix Tech

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. To that end, the Video and Image Encoding team in Encoding Technologies (ET) has spent the last few years rebuilding the video processing pipeline on our next-generation microservice-based computing platform Cosmos.

Microservices 95

Microservices Video Technical Review Systems Review 95

TechCrunch

MAY 18, 2022

Schmidt argues that as enterprises broke up their monolithic application architectures and moved to microservices, everything became so atomized that it now puts the burden on developers to piece everything back together when they want to build a new application on top of these systems. ” Image Credits: Apollo.

Microservices 219

Microservices Enterprise Virtualization Open Source 219

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Honeycomb

NOVEMBER 19, 2024

You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more. Three big reasons the rise of observability 2.0

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133

CIO

DECEMBER 22, 2023

Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. With 65% of IT decision-makers choosing cloud-based services by default when upgrading technology, cloud architects will only become more important for enterprise success.

Cloud 194

Cloud Company Disaster Recovery Software Engineering 194

O'Reilly Media - Ideas

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. More than half of respondent organizations use microservices. Microservices Achieves Critical Mass, SRE Surging. All told, we received 1,283 responses.

Cloud 144

Cloud Microservices Serverless Survey 144

Xebia

MAY 21, 2024

This involves updating existing systems to take advantage of modern cloud-native architectures, technologies, and best practices, which always follow the six Pillars of AWS Well Architecture Framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 130

AWS Strategy Serverless Microservices 130

O'Reilly Media - Data

JUNE 12, 2018

Fundamentally, a smart contract can be created with nothing more than a microservice with a trigger event, otherwise known as function-as-a-service (FaaS) or a serverless model. Finally, integrate analytics to ensure the blockchain is not an isolated ledger, but an integrated and intelligent underpinning of business functions.

Blockchain 215

Blockchain Disaster Recovery Fashion Enterprise 215

AWS Machine Learning - AI

MAY 30, 2024

The following diagram illustrates the solution workflow and architecture. The solution adopts microservice design principles, with loosely coupled components that can be deployed together to serve the video analysis and policy evaluation workflow, or independently to integrate into existing pipelines.

Generative AI 129

Generative AI Policies Video AWS 129

Cloudera

MAY 30, 2024

Its expertise spans cloud enablement, modern application development, BigData and ML, Cloud Journey, DevOps, Microservices, platform, and architecture changes for financial services firms. What are some of the business use cases financial services customers are focused on to use AI?

Analytics 81

Analytics Data Banking Compliance 81

CIO

FEBRUARY 14, 2023

AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. report they have established a data culture 26.5% That’s not to say it’ll be easy.

Artificial Inteligence 172

Artificial Inteligence Strategy Data Machine Learning 172

Stackery

MAY 14, 2020

Performing Serverless Analytics in AWS Glue. AWS Glue is a fully managed extract, transform, and load (ETL) service to prepare and load data for analytics. A Culture of Rapid Innovation with DevOps, Microservices, and Serverless. Scalable Serverless Architectures Using Event-Driven Design. Register for free here.

AWS 105

AWS Serverless Lambda Microservices 105

Altexsoft

JUNE 29, 2021

These days, it’s getting more common for application designs to be built on an event-driven architecture. In this article, we’re going to talk about event-driven architecture (EDA) and its most commonly used messaging pattern, publish/subscribe (pub/sub). Understanding event-driven architecture and pub/sub.

Architecture 75

Architecture Microservices IoT Scalability 75

Perficient

MARCH 17, 2025

Leveraging advanced data analytics , AI, and machine learning can provide real-time insights into customer preferences, behaviors, and financial needs, creating highly individualized experiences that improve engagement and loyalty. Risk + Compliance: Control risk, meet regulations, and stay ahead of financial industry changes.

Trends 52

Trends Artificial Inteligence Machine Learning Compliance 52

Netflix Tech

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset.

Systems Review 66

Systems Review Technical Review Data Metrics 66

CIO

DECEMBER 22, 2023

His responsibilities now range from encompassing technology architecture and operational stability, to security, cost management, partnership oversight, and domain-specific deliveries, among others. The strengths of this architecture, he adds, enable them to go fast and evolve, like with transactions that constantly come through.

Banking 148

Banking Architecture Microservices Conference 148

Xebia

DECEMBER 9, 2023

Underlying technology of Chaos Studio for Azure Kubernetes Service is the opens source platform Chaos Mesh We started with deploying a microservice application on to AKS. Read up on this architecture here. Chaos studio can also inject chaos in to VM’s and Azure Kubernetes Service. We started simple, by killing random containers.

Innovation 130

Innovation Azure Microservices IoT 130

Datavail

MARCH 2, 2022

Software with a monolithic architecture has been designed and built as a single unit with a single code base. Monolithic architecture has the advantage of simplicity, but the disadvantage of being unwieldy. In contrast to monolithic architecture, microservices have been growing in popularity in recent years.

Microservices 55

Microservices Applications Cloud Architecture 55

Mobilunity

DECEMBER 26, 2024

Assess application structure Examine application architectures, pinpointing possible issues with monolithic or outdated systems. Think about refactoring to microservices or containerizing whenever feasible, to enhance performance in the cloud setting. Want to hire qualified devs? Contact us Step #5. Employ automation tools (e.g.,

AWS 52

AWS Cloud Weak Development Team DevOps 52

CIO

JUNE 16, 2023

Our cloud journey continues to mature,” says Vaughan, who decided to modernize 75% of MoneyGram’s microservices in Kubernetes but not all applications out of the gate. For example, using Google Analytics, the team has gained deeper insights into its customer base. “We We’ve made a little progress, but we’re still toddlers.”

Retail 148

Retail Microservices Analytics Fintech 148

Dzone - DevOps

APRIL 21, 2023

Microservice Architecture : Kong is designed to work with microservice architecture, providing a central point of control for API traffic and security. Scalability : Kong is designed to scale horizontally, allowing it to handle large amounts of API traffic.

Load Balancer 96

Load Balancer Microservices Authentication Architecture 96

Honeycomb

APRIL 23, 2025

Your bill increases in line with: Traffic volume Instrumentation density Instrumentation density is partly a function of architecture (a system with hundreds of microservices is going to generate a lot more spans than a monolith will) and partly a function of engineering intent. shaped tools they need.

Weak Development Team 110

Weak Development Team Metrics Storage Engineering 110

Agile Engine

AUGUST 21, 2024

If your line of business involves corporate investing, wealth management, real estate, or raising capital, keeping your analytics on the leading edge is crucial. In an engagement with a leading wealth management SaaS, we developed an analytics engine that classifies 7+ million financial instruments within a two-hour window.

Technical Review 52

Technical Review Software Review Architecture Technology 52

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12.

Course 93

Course Training Artificial Inteligence Software Review 93

TIBCO - Connected Intelligence

OCTOBER 19, 2020

If you aren’t able to rapidly adapt the services and capabilities of your digital platform to stay aligned with the needs of the business, then your underlying application architecture needs to be evolved so that it becomes more agile. One way to build this agility is by evolving to a microservices architecture. Click To Tweet.

Microservices 49

Microservices AWS Applications How To 49

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Progress

JUNE 12, 2019

Microapps and microservices are two distinct concepts. In this article we focus on microapps and how you can utilize a microservices architecture with a microapps platform. The concept of a "microservices architecture" commonly gets confused with microapps. Crash Analytics. Is this another tech fad?

Microservices 40

Microservices Architecture Development Mobile 40

Netflix Tech

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 131

Network IPv6 Transportation AWS 131

CIO

DECEMBER 13, 2024

Discovers implementation is unique in that it operates its OpenShift platform in AWS virtual private clouds (VPC) on an AWS multi-tenant public cloud infrastructure, and with this approach, OpenShift allows for abstraction to the cloud, explains Ed Calusinski, Discovers VP of enterprise architecture and technology strategy.

Cloud 147

Cloud Generative AI AWS Artificial Inteligence 147