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What's New in Zoomdata 4.9: Microservices for Elastic Scalability Logi Analytics Blog

#artificialintelligence

Logi Analytics is proud to introduce Zoomdata 4.9, the latest Long Term Service (LTS) release of Logi's embedded data exploration solution for modern software applications. Zoomdata 4.9 continues its commitment to delivering great user experiences, a smarter and faster query engine, and first-of-its-kind elastic scalability for embedded analytics software. It's well understood that the preferred software delivery model is now SaaS (Software as a Service), which allows organizations or consumers to subscribe to software hosted in the cloud. Application teams that deliver software through a download-and-install model still expect their software to be deployed in a public or private cloud. One of the many benefits of cloud services such as AWS (Amazon Web Services), GCP (Google Cloud Platform) and Microsoft Azure is that you can spin up and down compute resources on-demand.


Microservices 101: A guide to microservice architecture

ZDNet

The idea behind microservices and a microservices architecture is relatively simple: hide all the complexities of hardware, operating systems, and different development toolkits behind a standard'service' that is available on a network. This ebook, based on the latest ZDNet / TechRepublic special feature, examines how microservice architecture has the potential to pick up where service-oriented architecture (SOA) left off, making application development faster, more scalable, and more flexible. Perhaps the simplest way to illustrate this is with an example. If you click this link, you'll access Zippopotamus, an open project microservice that provides information about US Zip Codes (roughly equivalent to postal codes outside the United States). Like most microservices, the result is returned over an application programming interface (API) in a standard format called JavaScript Object Notation (JSON) that's relatively easy for humans and various programming languages to interpret.


5 Predictions: #Goldilocks, #Serverless, #DevOps @CloudExpo @NewRelic #AI

#artificialintelligence

At the same time, many of the enterprise trends of the last few years are continuing, such as traditional businesses leading big digital transformation and the move to public clouds, with the continued market dominance of Amazon's $13B AWS business. As 2016 draws to a close, it's time to once again consider how the IT industry will grow, adapt, evolve and transform in the coming year, and to consider what lies in store for 2017. Here, I set out my top five predictions for what we can expect to see over the next 12 months and beyond. DevOps is here to stay In March 2015, Gartner predicted that the DevOps movement - a culture where building, testing and releasing software happens rapidly, frequently and reliably thanks to developers working collaboratively together across companies, industries and geographies - would evolve from niche to mainstream by 2016. What started as a neat, social idea to get developers and operations working together has rapidly become a vital aspect of software development.


Serverless and Microservices: Introduction to Serverless Microservices Algorithmia Blog

#artificialintelligence

It used to be that the big beat the small--today the fast beat the slow. Fast teams keep their talent engaged, ship faster, and beat the competition to market. Microservices let you increase your engineering speed and agility. Using microservices allowed SoundCloud to reduce a standard release cycle from 65 days all the way down to 16. How did they accomplish this?


Microservices with Spring Boot Example JPA Course

#artificialintelligence

This course is a practical course which explains how to realise a microservice infrastructure in order to realise a full-stack web application composed by a "framework-less" Single Page Application and two restful Spring Boot microservices interacting with each other and with two different databases thanks to the implementation of the JPA (Java Persistence Api). You'll have the basis to generate fastly a microservice infrastructure, to organise your application using different layers according to the "SOLID" principle and following the MVC pattern. You will have the instrument to organise your communication protocols using simple and effective rules, to implement restful web services which communicate with Json Messages. This is course has the same topic of the Italian course Sviluppo Web a Microservizi con Java Spring Boot e Ajax" so it can easily considered as its English version. The example developed is different but with the same topics: microservices, Spring Boot, JPA and Rest calls.