Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

RapidValue

JUNE 16, 2020

While working on Cloud Native application development, we need to make our application architectures more reactive leveraging Microservices. Moving to Cloud-Native typically is driven by the need for modernizing applications as much as possible by creating subsystems (powered by Microservices) that can be deployed and scaled independently.

Applications 90

Applications Cloud Development Microservices 90

RapidValue

FEBRUARY 18, 2021

As businesses tried to cope with changing times and navigated through remote workforces while ensuring business continuity and scalability, it is Cloud Computing that served as a backbone by ensuring a smooth transition. In addition to this, IDC predicts that 95% of the new microservices will be deployed in the containers by 2021.

Trends 98

Trends Cloud Artificial Intelligence Artificial Inteligence 98

O'Reilly Media - Ideas

JANUARY 17, 2019

As Ben Evans, coauthor of Optimizing Java and Java in a Nutshell , explains: "Java has adapted well to new frontiers such as cloud and microservices. Java 8 had problems with microservice startup times, but Java 11 solves that problem. It's a much better environment for developing new microservice applications from scratch.".

Microservices 97

Microservices Big Data Programming Applications 97

Netflix Tech

JUNE 7, 2021

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?

Network 130

Network IPv6 Transportation AWS 130

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. First Steps in Data Analysis , July 22.

Course 66

Course Training Artificial Inteligence Software Review 66

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

RapidValue

MARCH 17, 2019

It is driven, according to the report, by customer demand for agile, scalable and cost-efficient computing. Microservices are taking the market by storm as companies look to transition from a slow monolithic infrastructure to a much more agile microservice-based structure, allowing them to deploy applications more frequently and reliably.

Trends 45

Trends Cloud Serverless Microservices 45

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 58

Course Artificial Inteligence Training Blockchain 58

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. First Steps in Data Analysis , July 22.

Course 50

Course Training Artificial Inteligence Software Review 50

Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform. Microservices.

Microservices 109

Microservices Software Review Technical Review Architecture 109

RapidValue

AUGUST 18, 2019

You are required to embed security controls on a larger scale for scalability in the cloud. Designing Consistent Security for Microservices, APIs, and Serverless – Consistent security implementation should prevail. Microservices, APIs and Serverless require the most consistent security focus.

Games 50

Games Microservices DevOps Open Source 50

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

CircleCI

NOVEMBER 18, 2021

But as the demands on software teams continue to grow, it has become apparent that adding more staff is not a scalable solution. AIOps uses machine learning and big data to assist IT operations. Systems have multiplied their components in the industry-wide shift to containers and microservices. Cooperating with AI.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

Netflix Tech

MAY 4, 2023

The backend for the streaming product utilizes a highly distributed microservices architecture; hence these migrations also happen at different points of the service call graph. It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores.

Comparison 135

Comparison Testing Metrics Analysis 135

Trigent

APRIL 14, 2022

Enterprise software also has disaggregated from a monolithic form split into microservices (via containers) where code, debugger, utilities, and algorithms may be contained within the container and control routed appropriately to the parent code block as required. This way, they are deployed agnostic to the target environment.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Apiumhub

MARCH 26, 2019

We expect to welcome 300 software architects, who are passionate about useful, well designed, maintainable and scalable software. Mark Richards is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems.

Software Review 44

Software Review Architecture Technical Review Software 44

OTS Solutions

AUGUST 16, 2023

It can also help organizations better understand their data and make data-driven decisions. With the increasing adoption of cloud computing and big data analytics, AI and ML will continue to play a crucial role in application modernization in the future. What is an example of application modernization?

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

It can also help organizations better understand their data and make data-driven decisions. With the increasing adoption of cloud computing and big data analytics, AI and ML will continue to play a crucial role in application modernization in the future. What is an example of application modernization?

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Apiumhub

MARCH 9, 2023

Working with an outsourcing partner can help mitigate the risks associated with your project, such as underestimating timescales and lack of scalability. Apiumhub is a software partner with years of experience applying best practices that help technical teams deliver robust, scalable, and better-performing working software on time.

Software Review 76

Software Review Technical Review Software Software Development 76

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21. Microservices Caching Strategies , May 17.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Apiumhub

DECEMBER 20, 2018

Also, as its name suggests, Scala is an acronym of scalable and language, it is designed to grow with the demand. Alejandro Lujan is having fun with Big Data at Shopify and leads ScalaQuest, the game to learn Scala. Microservices vs Monolithic architecture. This blog serves as a hub for everything related to this series.

Programming 42

Programming Conference Software Development Scalability 42

Kentik

FEBRUARY 6, 2017

Kentik Detect unlocks the value of that data by collecting it into a unified time-series database, making it available in real time for anomaly detection and alerting, and storing it unsummarized for months to enable fast, super-powerful analytics. Our innovative big data SaaS earned recognition from Gartner, IDC, and Forrester.

Metrics 40

Metrics Analytics Network Microservices 40

CTOvision

SEPTEMBER 9, 2016

Zoomdata is the next generation data visualization system that easily allows companies and people to understand data visually in realtime. Zoomdata develops the world’s fastest visual analytics solution for big data. They are an In-Q-Tel company and a strategic investment in Zoomdata was announced on 8 Sep 2016.

Big Data 60

Big Data Data Analytics Scalability 60

CTOvision

SEPTEMBER 9, 2016

Zoomdata is the next generation data visualization system that easily allows companies and people to understand data visually in realtime. Zoomdata develops the world’s fastest visual analytics solution for big data. They are an In-Q-Tel company and a strategic investment in Zoomdata was announced on 8 Sep 2016.

Big Data 60

Big Data Data Analytics Scalability 60

G2 Crowd Software

DECEMBER 5, 2017

Scalability. Data Manipulation. Teradata is a powerhouse when it comes to hosting a large data warehouse with greater storage and faster processing power” — Teradata Review. Features include database server, analytics and microservice architecture. “As Scalability. Data Manipulation. Scalability.

Open Source 61

Open Source Software Review Software Technical Review 61

d2iq

FEBRUARY 19, 2021

This means integrating with lots of data sources and writing custom transformations to shape the data in the format required for each use case. Machine learning engineers are typically responsible for ML models in production environments, dealing with web services, latency, scalability, and handling most of the automation around ML.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Read the article.

Azure 52

Azure AWS Cloud How To 52

Trigent

MARCH 29, 2023

Microservices, containers, and other serverless technologies enable insurers to easily update and maintain their systems and quickly respond to changes in the market. Further, to derive the best price for a customer, transparent access to Fast Data (distinct from Big Data) from all partners is vital.

Insurance 95

Insurance Strategy Serverless Big Data 95

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Exadel

DECEMBER 4, 2019

CrossKube is a packaged solution that gives organizations the ability to deploy everything that is needed for a highly scalable, cloud-based application, including application best-practice templates for Kubernetes, microservices, containerization, application discovery, database connectivity, front-end application structure and automated testing.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

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. In the most critical use cases, every seconds counts.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Kaseya

NOVEMBER 9, 2023

Cloud infrastructure Four integral elements define the backbone of cloud infrastructure: Servers: Servers are the core of cloud infrastructure, acting as the computational engines that process and deliver data, applications and services. The servers ensure an efficient allocation of computing resources to support diverse user needs.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. This leads us to event streaming microservices patterns. Real-world architectures involve more than just microservices. Schemas and APIs are contracts between services. Schemas are APIs.

Microservices 110

Microservices Architecture Software Review Insurance 110

AWS Machine Learning - AI

FEBRUARY 1, 2024

Scalability – How many vectors can the system hold? High availability and disaster recovery – Embedding vectors are valuable data, and recreating them can be expensive. Use a microservices approach to isolate other components from these less mature frameworks. He also holds an MBA from Colorado State University.

Generative AI 104

Generative AI Disaster Recovery Artificial Inteligence AWS 104

Datavail

JUNE 9, 2020

By moving to the cloud, organizations of all sizes and industries have cut costs, improved their flexibility and scalability, ensured business continuity, and reduced their maintenance obligations. The platform also has a separate module Oracle GoldenGate for Big Data , which supports replication into many big data NoSQL targets.

Innovation 59

Innovation Microservices Azure Big Data 59