Openxcell

JULY 15, 2022

Go swiftly converts to machine code and has run-time reflection’s strength and convenience as well as garbage collection. Check out my article on installing Go Microservices in Kubernetes for additional details. Therefore, anyone may download the code and play with it to create better programs and eliminate related errors.

Software Review 52

Software Review Systems Review Weak Development Team Technical Review 52

Altexsoft

JULY 29, 2022

What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. What is Hadoop? Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

Bernd Rucker

APRIL 6, 2020

Last but not least, it is important to not model every implementation aspect in BPMN. Not only was I overwhelmed by the number of attendees, but we also got a huge list of interesting questions before and especially during the webinar. Some of them were answered, but a lot of them were not. Unfortunately this post got a bit long?—?sorry,

Microservices 52

Microservices Architecture Technical Review Engineering 52

Altexsoft

OCTOBER 24, 2018

Eclipse is Studio’s predecessor that can use plugins to expand the code to more languages. Java and Kotlin are listed as the official languages for Android programming but there are alternatives. However, considering only US users, the paradigm shifts: Now, 65 people from that hundred are iOS fans. Let’s begin. Editors and IDEs.

Weak Development Team 60

Weak Development Team Development Software Review Technical Review 60

Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” This sounds really ominous — especially, for companies heavily investing in data-driven transformations. New approaches arise to speed up the transformation of raw data into useful insights.

Analytics 75

Analytics DevOps Development Software Review 75

Daniel Bryant

MAY 8, 2018

In the first article of this Rate Limiting series I introduced the motivations for rate limiting, and discussed several implementation options (depending whether you own both sides of the communication, or not) and the associated tradeoffs. Closely related to rate limiting is “load shedding”. database under heavy load).

Weak Development Team 40

Weak Development Team Open Source Examples Applications 40

Confluent

FEBRUARY 27, 2019

FaaS functions only solve the compute part, but where is data stored and managed, and how is it accessed? FaaS is the ability to take a function and run it somewhere in the cloud; it’s the “compute” part of the serverless stack where you bring your own code. data written to Amazon S3).

Serverless 109

Serverless Lambda AWS Systems Review 109

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Data evolution. In this way, we don’t think about solution architecture in just one dimension.

Architecture 89

Architecture Programming Microservices Serverless 89

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Putting it all together. Deployment model.

Microservices 92

Microservices Metrics Systems Review Architecture 92

Altexsoft

SEPTEMBER 23, 2022

In this article, we’ll focus on the GDS part which serves as a mediator between travel providers and travel vendors. AltexSoft has broad hands-on experience implementing GDS APIs. Amadeus Self-Service APIs rely on modern REST architectural style and JSON format for data exchange. What is Amadeus GDS? other travel APIs.

Airlines 52

Airlines Travel Hotels Weak Development Team 52

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Languages: Java.

Architecture 21

Architecture Data Center Software Review Storage 21