Mobilunity

JULY 29, 2021

Why do companies use microservices with DevOps/cloud solutions, and what are the advantages and possible pitfalls of microservices integration? Microservices in a Nutshell. The sole build pipeline creates a bottleneck for releasing too big and too complex products, and here’s where microservices come into play.

Continuous Delivery 52

Continuous Delivery Microservices DevOps Architecture 52

Coveros

OCTOBER 1, 2021

THIS ARTICLE WAS ORIGINALLY PUBLISHED ON TECHBEACON as “Microservices quality issues? A modern DevOps approach can help” Your team has followed industry trends and shifted from a monolithic system to a widely distributed, scalable, and highly available microservices architecture. DevOps and microservices.

Microservices 52

Microservices DevOps Weak Development Team Testing 52

OTS Solutions

JUNE 9, 2023

It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications. These features have made Ruby on Rails a popular choice for web developers who want to build scalable and maintainable web applications. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications. These features have made Ruby on Rails a popular choice for web developers who want to build scalable and maintainable web applications. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

Bernd Rucker

APRIL 6, 2020

Webinar FAQ for Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation Answering leftover questions from my webinar in March 2020 On Wednesday, March 11, 2020, I conducted the webinar titled “ Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation ”. Why do I do this?—?what

Microservices 52

Microservices Architecture Engineering Technical Review 52

OverOps

JULY 21, 2020

If you think of the shift to microservices and containers as an evolution rather than a revolution then you’ve reached the right place! Item #1 : Static Analysis Item #2 : Unit Tests Item #3 : Integration and End-to-end testing. Challenges such as: Managing the transition from a monolithic application to microservices.

Applications 226

Applications Microservices Testing Analysis 226

Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Meeting 52

Meeting Microservices Data Architecture 52

Honeycomb

NOVEMBER 17, 2023

The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. The core analysis loop helps isolate where a fault is happening. Visualizations like charts and graphs help teams quickly identify anomalies and trends.

Metrics 125

Metrics Software Review Analysis Technical Review 125

Perficient

DECEMBER 7, 2023

Instead, it focuses on backend processes, like data aggregation, analysis, and integration. This means setting up systems for real-time data analysis, predictive analytics, and automated reporting. Step 5: Develop a Scalable Architecture Headless BI demands a scalable architecture that can grow with your business.

How To 52

How To Scalability Analytics Google Cloud 52

Perficient

JULY 23, 2023

Additionally, many recognize Elasticsearch, a powerful and flexible search engine, for its scalability and performance. Features: The Solr functions as a traditional monolithic application within a dedicated Search container, ensuring stability and scalability. Additionally, in Version 9.0,

Microservices 52

Microservices Scalability Architecture Analysis 52

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

Prisma Clud

JUNE 20, 2023

This transformative era presents incredible opportunities for organizations to unlock their potential and reap the benefits of scalability, flexibility and enhanced security. Not All Applications Are Built the Same If only the cloud-native world consisted of containerized microservices on Kubernetes clusters.

Cloud 105

Cloud Development Team Review Serverless Linux 105

The Crazy Programmer

FEBRUARY 3, 2024

Healthcare and government agencies tap custom development for specialized population data analysis needs across programs. React Native, MongoDB, and microservices foster flexibility to refresh apps via over-the-air updates. This leads to policies addressing broader socioeconomic barriers to community well-being over the long term.

Healthcare 130

Healthcare Software Off-The-Shelf Compliance 130

Capgemini

APRIL 19, 2024

Achieving this balance requires solutions that are not only efficient and effective but also scalable and easy to manage in the long term. Navigating the future of process automation This whitepaper serves as a visionary guide in the process automation landscape, dissecting the capabilities of Pega Infinity’23 and JEE Microservices.

UI/UX 52

UI/UX Innovation Microservices Generative AI 52

TechCrunch

OCTOBER 7, 2021

Today a startup that’s built a scalable platform to manage that is announcing a big round of funding to continue its own scaling journey. Chronosphere — a cloud-native monitoring platform co-founded by two former Uber engineers — has raised $200 million, a Series C that values the company at over $1 billion.

Cloud 209

Cloud Sport Open Source Artificial Inteligence 209

Apiumhub

JANUARY 19, 2021

Mark is a GSAS speaker , Apium Academy Professor and an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems in a variety of technologies.

Architecture 86

Architecture Software Review Software Microservices 86

Codegiant

JANUARY 19, 2024

Combining monitoring and visibility with advanced data analysis, we offer a comprehensive view of your system's health and performance. Comprehensive Data Analysis and Actionable Insights: Full-stack Observability involves deep analysis of data gathered from every part of the system.

Metrics 52

Metrics Analysis Software Development Scalability 52

InfoBest

FEBRUARY 15, 2024

This unique architecture not only facilitates the creation of scalable apps but also empowers developers with the flexibility to handle data-intensive tasks, microservices, and real-time web and mobile applications. is a platform-agnostic JavaScript runtime that enables developers to build fast, scalable network applications.

.Net 52

.Net Software Development Technology Software 52

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.

Cloud 52

Cloud AWS Microservices Architecture 52

Datavail

JULY 6, 2021

Containers are extremely scalable because of their relatively small deployment size. Additionally, containers are the building blocks in the implementation of Microservice Application Architecture. They support microservice architecture, which allows for deploying and scaling application components on a more granular level.

Microservices 114

Microservices DevOps Applications Agile 114

Honeycomb

JANUARY 3, 2022

We’re operating distributed microservice ecosystems on top of a deep stack of frameworks, abstractions and runtimes that are all running on other people’s servers (aka “the cloud”). We look at — or “sense” — a set of predefined system characteristics, analyze what we see, then decide how to respond based on our analysis.

Systems Review 143

Systems Review Microservices Architecture System 143

xmatters

FEBRUARY 17, 2021

In modern microservices applications, the failure point could happen among any of the hundreds of clusters—possibly spread across multiple cloud platforms. A more efficient and scalable approach is to automate major incident response and management as much as possible. Identify the code modules and builds related to the issue.

Enterprise 119

Enterprise Software Review Systems Review Scalability 119

Altexsoft

FEBRUARY 11, 2020

Identification and analysis. These measures can include monitoring, implementation of access controls, behavior analysis, and incorporation of threat intelligence. GRR includes features for cross-platform support, remote memory analysis, raw file system access, and monitoring of client memory, IO usage, and CPU. Eradication.

Tools 109

Tools Linux Analysis Open Source 109

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

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. Secure, scalable APIs are core to addressing these conflicting yet necessary requirements.

Insurance 95

Insurance Strategy Serverless Big Data 95

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.

Artificial Inteligence 106

Artificial Inteligence Machine Learning Scalability Data Engineering 106

Netflix Tech

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. The data is also used by security and other partner teams for insight and incident analysis. What is BPF?

Network 130

Network IPv6 Transportation AWS 130

CloudSphere

FEBRUARY 1, 2024

It’s about staying agile, scalable, and competitive. Scalability: Cloud computing provides businesses with the ability to quickly scale up or down their IT requirements as and when required, ensuring they are not paying for resources they aren’t using.

Trends 52

Trends Artificial Inteligence Cloud Serverless 52

OTS Solutions

AUGUST 16, 2023

Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms. Sentiment analysis can thus help businesses and marketers not only track their brand reputation but also to predict and respond to customers’ needs. What is an example of application modernization?

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms. Sentiment analysis can thus help businesses and marketers not only track their brand reputation but also to predict and respond to customers’ needs. What is an example of application modernization?

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Blue Sentry

MAY 17, 2021

From process automation and personalization to behavioral analysis and customer support, machine learning is deploy-ready and instantly applicable. Many go over budget, over time, and get trapped in the bottomless pit of scalability. data ingestion, analysis, transformation, splitting, modeling, training, serving, logging, etc.)

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

xmatters

FEBRUARY 17, 2023

In modern microservices applications, the failure point could happen among any of the hundreds of clusters—possibly spread across multiple cloud platforms. A more efficient and scalable approach is to automate major incident response and management as much as possible.

Enterprise 52

Enterprise Software Review Systems Review DevOps 52

Existek

SEPTEMBER 5, 2023

How does it enable developers to create scalable, efficient, and event-driven applications? Scalability: Due to its event-driven architecture, Node.js is well-suited for building highly scalable applications that need to handle a large number of simultaneous connections. is still high on the list to become a primary choice.

Technical Review 52

Technical Review How To Software Review Systems Review 52

Perficient

JANUARY 31, 2023

With Flogo® Enterprise software, you can build highly scalable functions, create engaging user experiences, and collect and analyze data on IoT devices. With Flogo® Enterprise software, you can build highly scalable functions, create engaging user experiences, and collect and analyze data on IoT devices.

Cloud 64

Cloud Microservices IoT Serverless 64

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Hands-on Machine Learning with Python: Clustering, Dimension Reduction, and Time Series Analysis , July 18.

Course 66

Course Training Artificial Inteligence Software Review 66

Apiumhub

JULY 4, 2018

2nd software architecture meetup: Microservices Antipatterns. The topic that had the most votes was “DDD in practice: uncovering false microservices” and we decided why not to have a theoretical part with Christian Ciceri and a practical part with Oscar Galindo. DDD: testing in microservices architecture .

Software Review 61

Software Review Architecture Software Microservices 61

Modus Create

JUNE 21, 2022

A critical pre CI/CD security tool, IDE plugin performs static analysis of a developer’s code directly from their IDE. This security analysis and feedback helps developers detect flaws in the early stages of software development. . Static Code Analysis. Software Composition Analysis. Container Security.

Software Review 52

Software Review Open Source Systems Review Analysis 52