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. Security is a good example. “If If you’re trying to leverage high performance with both, that’s sticky,” he says.

Cloud 312

Cloud Technical Review Software Review Systems Review 312

Dzone - DevOps

MAY 1, 2023

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

Serverless 83

Serverless Lambda Data Microservices 83

Hacker Earth Developers Blog

APRIL 5, 2024

Read More: How to Hire Full Stack Developers Full-stack question types available on HackerEarth Here’s a detailed breakdown of the available question types on HackerEarth for full-stack assessments, including their purpose, example questions, and how tech recruiting teams can utilize them. Why is this happening, and how can it be fixed?

Development 130

Development Recruiting Microservices Applications 130

d2iq

FEBRUARY 21, 2023

Aerospike is a high-performance NoSQL database that enables high-speed data processing at scale. As the number of microservices increases, organizations can expend an enormous amount of effort deploying, integrating, monitoring, maintaining, and updating their various tools and applications.

Data 83

Data Microservices Scalability DevOps 83

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

Netflix Tech

MARCH 7, 2024

Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance. The user can choose the most suitable tool for manipulating data, such as Pandas or Polars to use a dataframe API, or one of our internal C++ libraries for various high-performance operations.

System 90

System Machine Learning Artificial Inteligence Training 90

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

Bernd Rucker

JULY 17, 2019

a horizontally scalable distributed workflow engine Say hello to cloud-native workflow automation?—?part Despite the fact that this is not true (see e.g. 24 Hour Fitness or Zalando ) I do see limitations of current workflow technology in terms of scalability, but on a very different order of magnitude. Zeebe.io?—?a

Scalability 40

Scalability Engineering Open Source System 40

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

NOVEMBER 16, 2021

NiFi as a Function in DataFlow Service provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. It also effectively provides a serverless architecture and is very widely used when building microservices applications. However, for certain use cases, we want to go one step further.

Serverless 104

Serverless Lambda Microservices KPI 104

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

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

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

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. which is difficult when troubleshooting distributed systems.

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

Apiumhub

MARCH 30, 2023

Custom software development benefits Scalability Custom software can grow as the business grows and changes. Scalability with Microservices The microservices architecture (MSA) infrastructure is the building block of many modern network apps and a crucial prospect of modern software design.

Software Review 71

Software Review Software Development Software Technical Review 71

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. How and Where AI and ML Used in Application Modernization 1.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. How and Where AI and ML Used in Application Modernization 1.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Existek

MAY 8, 2023

NET offers many advantages, such as improved performance, better memory management, and enhanced security. With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. For example, developers can use the.NET JavaScript Services to run Node.js Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

NET offers many advantages, such as improved performance, better memory management, and enhanced security. With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. For example, developers can use the.NET JavaScript Services to run Node.js Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

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. It became clear to us that we needed to solve the scalability problem with a fundamentally different approach. OK, Results?

Metrics 115

Metrics Systems Review Storage Weak Development Team 115

Capgemini

APRIL 20, 2022

For example, the product-management business process provides functions to create a product catalog, search products, and manage real-time menu updates. Business functions are exposed as pre-built REST APIs following microservice principles. Figure 4 – DCP business-function microservices. Figure 3 – DCP business functions.

Cloud 52

Cloud AWS Microservices Architecture 52

Apiumhub

SEPTEMBER 13, 2022

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. In addition to this, we expect you to be able to: Participate in technical decision-making to provide new ideas on platform performance and architecture scalability.

How To 85

How To Architecture Microservices Guidelines 85

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

Daniel Bryant

SEPTEMBER 16, 2022

It’s on the hot path of every user request, and because of this, it needs to be performant, secure, and easily configurable. DORA metrics are used by DevOps teams to measure their performance and find out whether they are “low performers” to “elite performers.” What is an API gateway?

Load Balancer 95

Load Balancer Cloud Continuous Delivery Microservices 95

d2iq

JULY 6, 2023

As organizations undergo digital transformation, they rely on software to deliver the agility, performance, and scalability benefits they seek. Containers have become the default way to package microservices because they provide consistency, portability, and repeatability.

Software Review 52

Software Review Microservices DevOps Software Development 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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Altexsoft

SEPTEMBER 30, 2022

Using the cloud is not the end, but taking it to the next level with cloud-native applications is better to take advantage of the enhanced agility, availability, scalability, and general performance. Microservices. Microservices is considered an architectural strategy capable of managing complex applications simply.

Applications 52

Applications Cloud Software Review Microservices 52

Agile Engine

FEBRUARY 13, 2024

Why automation testing is better than manual QA for most projects Manual testing involves step-by-step checks performed by QA teams according to test plans that are custom-tailored to specific products. Focuses on replicating user behaviors and assessing system performance. Measures reliability, speed, scalability, and responsiveness.

Testing 52

Testing Strategy Software Review How To 52

Capgemini

JULY 16, 2021

Our latest report from the Capgemini Research Institute, The data-powered enterprise: Why organizations must strengthen their data mastery , reveals a strong link between data maturity and financial performance. Power up your data: Building a scalable, secure, trusted and resilient data estate.

Data 52

Data Microservices Architecture Energy 52

Cloudera

SEPTEMBER 30, 2022

New use cases: event-driven, batch, and microservices. These use cases range from event-driven object store processing, microservices that power serverless web applications, to IoT data processing, asynchronous API gateway request processing, batch file processing, and job automation with cron/timer scheduling.

Serverless 72

Serverless Microservices Lambda IoT 72

Apiumhub

NOVEMBER 8, 2018

In these open spaces, we discussed very interesting topics like “feature branches vs. continuous integration”, “ monoliths vs microservices “, “how to manage diversity in our workplace”, Also, we shared the disastrous experiences we have had in production. We perform the experiment.

Engineering 76

Engineering Microservices Case Study Architecture 76

Datavail

MARCH 17, 2022

To increase business agility, improve scalability and cut costs, more and more companies are moving their data and applications to the cloud. For example, businesses that self-hosted their applications while on-premises can take advantage of managed services offerings in the cloud that automatically handle this complexity. Refactoring.

Cloud 52

Cloud Weak Development Team Software Review Technical Review 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. The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration.

Comparison 135

Comparison Testing Metrics Analysis 135

Apiumhub

SEPTEMBER 21, 2021

Of course it may bring a bit of frustration that the previous work “goes to the rubbish bin”, but in reality this know-know that you got, these lessons that you learned lead you to develop a much more powerful and scalable product, using the latest and fastest technologies. Wait, but what is sacrificial architecture? Twitter public API v1.1

Architecture 52

Architecture Software Review Minimum Viable Product Case Study 52

Altexsoft

JUNE 29, 2021

It is common in designing apps that rely on microservices (when every service runs its own process.). The latter just perform tasks required as a result of the produced event. Scalability. Now that you know the basic concepts, we’ll try to explain how the pub/sub model works with an example. Loose coupling. They include.

Architecture 75

Architecture Microservices IoT Scalability 75

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. You can reduce risk by addressing these eight common cloud security vulnerabilities and misconfigurations. Insecure APIs.

Applications 52

Applications Cloud Software Review Systems Review 52

Abhishek Tiwari

JULY 12, 2018

Depending on the use cases, it is quite possible that you can achieve similar outcomes by using techniques such as data virtualisation or simply building microservices. Pipeline reliability and performance go hand in hand. If tuned for performance, there is a good change reliability is compromised - and vice versa.

Data 63

Data Software Review Technical Review Microservices 63