TIBCO - Connected Intelligence

OCTOBER 19, 2020

One way to build this agility is by evolving to a microservices architecture. Microservices are very small units of executable code. Microservices can be used to break up monoliths into individual, highly cohesive business services that are deployed in containers and serverless environments. Click To Tweet.

Microservices 49

Microservices AWS Applications How To 49

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Business Data Analytics Using Python , February 27. Beginner’s Guide to Writing AWS Lambda Functions in Python , March 1. Programming with Java Lambdas and Streams , March 5. Microservice Collaboration , March 7.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

O'Reilly Media - Ideas

MARCH 6, 2019

Business Data Analytics Using Python , April 29. Beginner's Guide to Writing AWS Lambda Functions in Python , April 1. Microservice Fundamentals , April 15. Designing Serverless Architecture with AWS Lambda , April 15-16. Microservice Collaboration , April 16. Microservice Fundamentals , May 28.

Course 15

Course Artificial Inteligence Training Machine Learning 15

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 92

Course Training Artificial Inteligence Software Review 92

AWS Machine Learning - AI

MAY 15, 2024

With that goal, Amazon Ads has used artificial intelligence (AI), applied science, and analytics to help its customers drive desired business outcomes for nearly two decades. The request is then processed by AWS Lambda , which uses AWS Step Functions to orchestrate the process (step 2).

Generative AI 115

Generative AI Artificial Inteligence Advertising Technical Review 115

Confluent

FEBRUARY 27, 2019

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., Historic analytics include Monte Carlo simulation, raw number crunching of event data, etc.

Serverless 109

Serverless Lambda AWS Systems Review 109

Altexsoft

AUGUST 31, 2021

Microservices and API gateways. It’s also an architectural pattern, which was initially created to support microservices. Hard to update and implement new technologies, the monolith started being replaced by a new architectural pattern — microservices. What is an API gateway? Source: Netflix Technology Blog.

Microservices 64

Microservices Serverless How To Load Balancer 64

Mobilunity

APRIL 7, 2025

With the increasing adoption of next-gen technologies 94% of enterprises adopting cloud services, 97% using or planning to embrace microservices, and 97% relying on APIs for digital transformation businesses demand resilient and flexible backend solutions to stay competitive.

UI/UX 40

UI/UX Technical Review Development Software Review 40

O'Reilly Media - Ideas

JUNE 5, 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 69

Course Training Artificial Inteligence Software Review 69

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. AWS Lambda. The service launched in 2016 to compete with AWS Lambda. But, every provider has its own calculation tool: S3 calculator by AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Fraud Analytics using Python , June 25. Beginner’s Guide to Writing AWS Lambda Functions in Python , June 28. Deploying Container-Based Microservices on AWS , June 10-11. Designing Serverless Architecture with AWS Lambda , June 11-12.

Course 62

Course Training Artificial Inteligence Machine Learning 62

Hu's Place - HitachiVantara

APRIL 24, 2018

Serverless computing is provided by a cloud service provider like AWS Lambda. or Python), set a few simple configuration parameters, and upload everything (along with required dependencies) to Lambda. Lambda persists the container until the function has done its job, then disappears. Serverless computing is used with containers.

Serverless 56

Serverless Lambda Software Review AWS 56

ParkMyCloud

AUGUST 29, 2019

You enhance this solution using AWS Lambda and integrate it with Amazon Connect. In the last step, you set up a processing pipeline to automate transcription and NLP analysis, and run analytics and visualizations on the results.

AWS 12

AWS How To Serverless Microservices 12

ParkMyCloud

MARCH 19, 2020

There are some less popular services such as Alexa for Business, Amazon Augmented AI (A2I), Amazon Fraud Detector, and Amazon Mobile Analytics are only available in the US East (N. AWS Lambda. AWS Lambda runs your code in response to triggers and automatically manages the compute resources for you. Virginia) Region.

AWS 66

AWS Lambda Data Center Storage 66

Capgemini

APRIL 20, 2022

Business functions are exposed as pre-built REST APIs following microservice principles. Figure 4 – DCP business-function microservices. Then, appropriate microservices and resources will be deployed to the user’s AWS account through Amazon Elastic Container Registry (Amazon ECR) and AWS CloudFormation. Solution architecture.

Cloud 52

Cloud AWS Microservices Architecture 52

O'Reilly Media - Ideas

APRIL 3, 2019

Fraud Analytics Using Python , April 30. Beginner’s Guide to Writing AWS Lambda Functions in Python , May 7. Programming with Java Lambdas and Streams , May 16. Microservices Caching Strategies , May 17. Emotional Intelligence in the Workplace , May 31. Getting Unstuck , June 3. Data science and data tools.

Course 67

Course Artificial Inteligence Training Google Cloud 67

Perficient

DECEMBER 2, 2022

Part of the data is (selectively) copied to a message broker for event-driven services, streaming analytics. Messages are also (selectively) transferred to the cloud for analytics and global integration. AWS Sitewise Edge is great to monitor devices on location, and run/visualize simple analytics. Self-Managed. Streaming Data.

IoT 69

IoT Systems Review Industry Software Review 69

Netflix Tech

JULY 30, 2019

Netflix Conductor: A microservices orchestrator In the last two years since inception, Conductor has seen wide adoption and is instrumental in running numerous core workflows at Netflix. Instead of creating workers for simple evaluations, Lambda task enables the user to do this inline using simple Javascript expressions.

Lambda 76

Lambda Weak Development Team Systems Review Metrics 76

Mobilunity

DECEMBER 5, 2024

This article presents the goal of cloud cost optimization, best practices, such as adjusting resource sizes and utilizing automation and predictive analytics, and effective tools. Predict future resource needs using AI-driven analytics. Microservices and containers. Data analytics. Adopt containerization (e.g.,

Cloud 52

Cloud Strategy Technical Review Database Administration 52

Perficient

MARCH 13, 2023

The ability to visualize logs from multiple pods simultaneously, sort and filter messages based on specific fields and create custom analytics dashboards makes Cluster Logging a must-have. Really cool tech if you want to move your existing AWS Lambda or Azure Functions over to Kubernetes.

Serverless 83

Serverless Azure Metrics AWS 83

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Business apps.

Azure 52

Azure AWS Cloud How To 52

Netflix Tech

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 65

Testing Training Continuous Integration AWS 65

Agile Engine

DECEMBER 3, 2023

35–48% savings reported by AWS for companies like Koch and Parsons 50% increase in costs reported by clients due to unoptimized AWS infrastructure Our experience: cutting AWS bills by up to 80% The optimization of AWS infrastructure and use has been a part of several of our projects focused on DevOps, microservices, and cloud migration.

UI/UX 52

UI/UX Budget Applications Technical Review 52

Mobilunity

DECEMBER 19, 2024

Their expertise in optimizing EC2, S3, and Lambda confirms businesses particular expenses for the resources they indeed need, lowering costs while maximizing performance. Storage optimization strategies are also significant in large datasets management, including product catalogs and customer analytics.

Budget 52

Budget AWS Strategy Cloud 52

Confluent

APRIL 30, 2019

Another good example of combining the two approaches can be found in the Real-Time Market Data Analytics Using Kafka Streams presentation from Kafka Summit. For example, users can always just use a lambda that returns the original key and value, but the Streams’ compiler still has to assume that the stream keys have indeed been changed.

Applications 91

Applications Construction Software Review Examples 91

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems Review 63

Systems Review System Microservices Software Review 63

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. The term “microservices” was at No. The term “ML” is No.

Conference 10

Conference Data Data Engineering Big Data 10

AWS Machine Learning - AI

FEBRUARY 5, 2025

The OfferUp user submits the new or updated listing details (title, description, image ids) to a posting microservice. The posting microservice then persists the changes using the listing writer microservice in Amazon DynamoDB. Finally, the indexer updates or inserts these listing details into Elasticsearch.

Microservices 72

Microservices Lambda Architecture Artificial Inteligence 72

AWS Machine Learning - AI

NOVEMBER 20, 2024

Mark43’s public safety solution built on the AWS Cloud Mark43 offers a cloud-native Public Safety Platform with powerful computer-aided dispatch (CAD), records management system (RMS), and analytics solutions, positioning agencies at the forefront of public safety technology.

Generative AI 97

Generative AI Applications Artificial Inteligence AWS 97

AWS Machine Learning - AI

JANUARY 15, 2025

Understanding customer satisfaction and areas needing improvement from raw data is complex and often requires advanced analytical tools. The app container is deployed using a cost-optimal AWS microservice-based architecture using Amazon Elastic Container Service (Amazon ECS) clusters and AWS Fargate.

Automotive 79

Automotive Artificial Inteligence AWS Technical Review 79