Tag: application development

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Artificial IntelligenceMicroservices

Securing microservice environments in a hostile world

Source – networkworld.com At the present time, there is a remarkable trend for application modularization that splits the large hard-to-change monolith into a focused microservices cloud-native architecture. The monolith keeps much of the state in memory and replicates between the instances, which makes them hard to split and scale. Scaling up can be expensive and scaling Read More

Artificial IntelligenceMachine Learning

OverOps Brings Machine Learning to DevOps

Source – devops.com OverOps has launched a namesake platform employing machine learning algorithms to capture data from an IT environment that identify potential issues before a DevOps team decides to promote an application into production. Company CTO Tal Weiss said the OverOps Platform is unique in that, rather than relying on log data, it combines static and dynamic Read More

Data Science

Building a data science pipeline: Benefits, cautions

Source – techtarget.com Enterprises are adopting data science pipelines for artificial intelligence, machine learning and plain old statistics. A data science pipeline — a sequence of actions for processing data — will help companies be more competitive in a digital, fast-moving economy. Before CIOs take this approach, however, it’s important to consider some of the Read More

Microservices

Microservices: Streamlining Development by Breaking up Monolithic Applications

Source – formtek.com Microservices is an architectural style that builds applications from a collection of loosely coupled services. The protocols used are lightweight and the services are very fine grained.  Each service stands on its own, and as such, makes development, testing, and refactoring of applications easier.  Because each service is independent, microservices enable application Read More

Microservices

Microservices and cloud-native development versus traditional development

Source – ibm.com We’ve had a very good run for the last 20 years or so with distributed systems development in the enterprise, but time has started to show some of the downsides of traditional development styles. First of all, distributed systems have grown enormous – it’s very common to see corporate websites for retailing or Read More

Artificial IntelligenceMicroservices

Aqua Security CTO reveals how to secure microservices

Source – techtarget.com he emergence of microservices boosts business agility, enabling rapid application development, deployment and modification. The challenge is baking in microservices security processes. Traditional security processes can’t secure microservices, because the latter work in and communicate between both internal and external environments, according to Amir Jerbi, CTO of Aqua Security, a container security platform Read More

Artificial IntelligenceMicroservices

Why microservices are the foundation to a digital future

Source – networkworld.com There’s no doubt that digital transformation (DX) is revolutionizing the way we do business, and cloud computing serves as a key cog in the DX machine. Cloud’s elasticity can indeed help digital businesses communicate more rapidly and increase innovation. But to extract full value from the cloud, companies must make sure that they Read More