Remove Infrastructure Remove Microservices Remove Scalability Remove Weak Development Team
article thumbnail

Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. It’s often portrayed as a revolutionary method for constructing software systems that are scalable, adaptable, and efficient. However, like any technology, it has its strengths and weaknesses.

article thumbnail

Important Practices for DevOps in the Cloud

OTS Solutions

The aim of DevOps is to streamline development so that the requirements of the users can make it into application production while the cloud offers automation to the process of provisioning and scaling so that application changes can be done. Here are some of the best practices to adopt for DevOps Development.

DevOps 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

LexisNexis rises to the generative AI challenge

CIO

Late last month, LexisNexis launched Lexis+ AI, its own generative AI solution, in the US that promises to eradicate AI “hallucinations” and provide linked legal citations to ensure lawyers have access to accurate, up-to-date legal precedents — weaknesses discovered in the current slew of LLMs. But it was an uphill climb to get to the cloud.

article thumbnail

Micro Frontend: A Microservice Approach to Developing Web UIs

Altexsoft

There has been a lot of buzz around the concept of microservices lately with quite a few businesses adopting it to get rid of huge, monolithic backends. These and other issues have made frontend developers look in the direction of microservices too. And finally, the block with posts that can be developed as a separate service.

article thumbnail

Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. What kinds of decisions are necessary to be made in real-time?

article thumbnail

The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. With these basic concepts in mind, we can proceed to the explanation of Kafka’s strengths and weaknesses. Scalability. Scalability is one of Kafka’s key selling points. process data in real time and run streaming analytics.

article thumbnail

Microservices Done Right, Part 2: More Antipatterns to Avoid

Accenture

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.