OTS Solutions

JUNE 9, 2023

Enterprise applications can also provide valuable insights into different operations to help businesses make data-driven decisions. Examples of Enterprise Applications Enterprise applications refer to software programs designed to cater to the specific needs of businesses and organizations.

Enterprise 130

Enterprise Applications Development Scalability 130

CIO

NOVEMBER 29, 2023

For example, Amazon’s EC2 substrate does the same thing as Google’s GCP, but an application running on EC2 won’t run on GCP without a lot of expensive rework. Pablo Del Giudice, cloudops and cybersecurity studio partner, Globant Globant Data requirements is another area that needs careful planning. Security is a good example. “If

Cloud 303

Cloud Technical Review Software Review Systems Review 303

Perficient

DECEMBER 28, 2023

HCL Commerce, a robust e-commerce platform, can be further empowered by integrating with Spring Boot—a powerful framework for building Java-based microservices. Renowned for its scalability and flexibility, HCL Commerce empowers businesses to manage their entire e-commerce ecosystem, from product catalogs to customer interactions.

Microservices 52

Microservices Scalability B2C Architecture 52

Accenture

APRIL 10, 2019

Microservices architecture has become popular over the last several years. Many organizations have seen significant improvements in critical metrics such as time to market, quality, and productivity as a result of implementing microservices. Recently, however, there has been a noticeable backlash against microservices.

Microservices 81

Microservices Technical Review Software Review Systems Review 81

The Crazy Programmer

MARCH 7, 2022

It is pretty simple to answer: Suppose you do not wish to create news content but just want to furnish relevant, dependable, and real-time headlines, then you need a media news data API. News data gets refreshed every minute and is available with different categories like education, sports, entertainment, business, and more.

Software Review 173

Software Review PHP Sport Scalability 173

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90

System Machine Learning Artificial Inteligence Training 90

CIO

NOVEMBER 3, 2022

Horizontal team members own the platforms to ensure their robustness, reliability, latency and scalability so engineers can be productive. Vertical teams, meanwhile, operate across the tech stack so teams aren’t localised to certain operating systems, orchestration or data layers.

CTO Coach 246

CTO Coach Development .Net Coaching 246

Perficient

MARCH 30, 2023

The computing and storage of cloud data occur in a data center, rather than on a locally sourced device. Cloud computing makes data more accessible, cheaper, and scalable. However, the cloud’s structure makes data segmentation more complex and potentially more vulnerable if the correct security measures are not followed.

Banking 115

Banking Cloud Technical Review Microservices 115

Perficient

AUGUST 21, 2023

For example, use Marketo for your email marketing campaigns instead of Sitecore Send. We see a great example of this today with the near-weekly releases for XM Cloud , something that is not possible for traditional Sitecore releases that are self-hosted.

Architecture 98

Architecture Agile Scalability Microservices 98

Xicom

APRIL 28, 2020

Microservices design has become an intriguing issue in the product backend improvement world. There are two significant sorts of programming engineering: monolithic and microservices. There are two significant sorts of programming engineering: monolithic and microservices. The last has gotten very mainstream as of late.

Microservices 52

Microservices Architecture Engineering Applications 52

Capgemini

JULY 16, 2021

In today’s business landscape, data has taken on a reverential or even mystical quality. But tapping the full potential of data isn’t a matter of magic, but mastery. This begs the question: How do organizations come to master their data? Power up your data: Building a scalable, secure, trusted and resilient data estate.

Data 52

Data Microservices Architecture Energy 52

Cloudera

NOVEMBER 16, 2021

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) , our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. Introduction. How does this translate in NiFi?

Serverless 110

Serverless Lambda Microservices KPI 110

Dion Hinchcliffe's Web 2.0 Blog

SEPTEMBER 7, 2018

Microservices is now a current topic of this debate, as the overall approach is perhaps the most strategic technology trend that’s come along in quite some time. So, you read it here first: Microservices are how most organizations will eventually conduct the majority of their business, internally and externally.

Microservices 64

Microservices Organization Strategy Technical Review 64

TechCrunch

OCTOBER 7, 2021

Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.

Cloud 209

Cloud Sport Open Source Machine Learning 209

Netflix Tech

APRIL 27, 2023

While we were able to put out the immediate fire by disabling the newly created alerts, this incident raised some critical concerns around the scalability of our alerting system. Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data.

Metrics 115

Metrics Systems Review Storage Weak Development Team 115

Netflix Tech

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Traces collected from various microservices are ingested in a stream processing manner into the data store. Stream Processing: to sample or not to sample trace data?

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

Apiumhub

NOVEMBER 9, 2022

I was always asking my tutor in Apiumhub about design patterns, clean architecture, and microservices. You can create scalable, testable, and loosely coupled applications. NestJs is created for both Monoliths and Microservices. NestJS makes it possible to create outstanding, well-organized, and lightweight microservices.

Microservices 79

Microservices Software Review MVC Authentication 79

Prisma Clud

JANUARY 13, 2023

An Example from History. Vulnerabilities to the systems and environments in the cloud expose us to analogous grave threats, given application capabilities, as well as the amount and sensitivity of data. As cloud infrastructure continues to grow in importance, securing it has become a central area of focus across government.

Security 117

Security Cloud Microservices Government 117

OpenCredo

APRIL 18, 2018

It’s been a few years since I first wrote The Seven Deadly Sins of Microservices after working on a few early microservices projects and noticing a number of common pitfalls. Indeed, quite a few of the anti-patterns we observe today on microservices projects are strongly related to how people approach the problem.

Microservices 40

Microservices SOA Architecture Infrastructure 40

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Data 63

Data Software Review Technical Review Microservices 63

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. ASP.NET also provides a rich set of libraries for common web development tasks, like data access, authentication, and caching. For example, developers can use the.NET JavaScript Services to run Node.js

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. ASP.NET also provides a rich set of libraries for common web development tasks, like data access, authentication, and caching. For example, developers can use the.NET JavaScript Services to run Node.js

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Erik Bernhardsson

JANUARY 9, 2019

A modern tech stack typically involves at least a frontend and backend but relatively quickly also grows to include a data platform. This typically grows out of the need for ad-hoc analysis and reporting but possibly evolves into a whole oil refinery of cronjobs, dashboards, bulk data copying, and much more. Why bother?

Architecture 100

Architecture Data Machine Learning Artificial Inteligence 100

Capgemini

FEBRUARY 3, 2021

For example, the scalability and elasticity of the application portfolio may remain dependent on IaaS and PaaS layers. To truly achieve agility at scale with application modernization, enterprises need to think beyond the adoption of microservices, containerization, and the DevOps approach in the development process.

How To 52

How To Microservices Scalability Architecture 52

Capgemini

APRIL 20, 2022

Furthermore, DCP enables end-to-end connectivity and integration between existing systems, data, and new business capabilities. For example, the product-management business process provides functions to create a product catalog, search products, and manage real-time menu updates. Figure 4 – DCP business-function microservices.

Cloud 52

Cloud AWS Microservices Architecture 52

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

Honeycomb

JUNE 9, 2023

Kubernetes helps teams of all sizes optimize their microservices architecture by enabling seamless automated containerized app deployment, easy scalability, and efficient operations. In addition, as FireHydrant’s app grew over time, the team adopted more microservices, and it needed a way to orchestrate them.

Metrics 98

Metrics Microservices Scalability Engineering 98

Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). New use cases: event-driven, batch, and microservices. Serverless IOT event processing : Collect, process, and move data from IOT devices with serverless IOT processing endpoints (e.g:

Serverless 76

Serverless Microservices Lambda IoT 76

Bernd Rucker

MARCH 5, 2018

Microservices are all the rage. So, microservices are about scaling your development force while maintaining high agility and a rapid development pace. So, microservices are about scaling your development force while maintaining high agility and a rapid development pace. In a nutshell, you decompose a system into microservices.

Microservices 40

Microservices How To Airlines Weak Development Team 40

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. better cluster resource utilization.

Big Data 63

Big Data Data Storage Microservices 63

OTS Solutions

AUGUST 16, 2023

Also Read: Security and Compliance in Enterprise Applications The Role of AI and ML in Application Modernization Overview of AI and ML Artificial Intelligence (AI) and Machine Learning (ML) are two interrelated technologies that enable computers to learn, analyze and make decisions based on data without explicit programming.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Also Read: Security and Compliance in Enterprise Applications The Role of AI and ML in Application Modernization Overview of AI and ML Artificial Intelligence (AI) and Machine Learning (ML) are two interrelated technologies that enable computers to learn, analyze and make decisions based on data without explicit programming.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Perficient

NOVEMBER 21, 2023

Microservices-Friendly: Spring Boot facilitates the development of microservices architecture, allowing for the creation of independently deployable and scalable services. They are designed to handle the boilerplate code associated with specific tasks, such as web development, data access, or testing.

Microservices 52

Microservices Applications Development Web Development 52

Apiumhub

AUGUST 16, 2018

After a while thinking about what type of TDD article to write about and, since there are many of them and very good theoretical ones (written by influencers in the world of software development), I have chosen to develop a mini-project while explaining the key points of the development of the application, basically giving you a TDD example.

Software Review 43

Software Review TDD Software Development Examples 43

Apiumhub

SEPTEMBER 13, 2022

On the contrary, use contrasting numerical data that help the candidate to size up the size, scope, and volume of the company. For example: “As a Backend Developer, you will work in the X team reporting to the Tech Lead/Team Lead/CTO developing new features in the product. About the role.

How To 85

How To Architecture Microservices Guidelines 85

Altexsoft

JUNE 29, 2021

It is common in designing apps that rely on microservices (when every service runs its own process.). The key point here is that pub/sub enables computers to communicate and react to data updates as they occur. Scalability. Now that you know the basic concepts, we’ll try to explain how the pub/sub model works with an example.

Architecture 75

Architecture Microservices IoT Scalability 75

d2iq

FEBRUARY 15, 2023

Overcoming CI/CD Pitfalls As organizations adopt a microservices architecture or transition between cloud providers, continuous integration/continuous delivery (CI/CD) pipelines are a way to accelerate agility and time to market. For example, DevOps teams can easily deploy a web application from DKP via FluxCD using GitLab as a repository.

DevOps 64

DevOps Microservices Agile Continuous Delivery 64