Posted in devops
Posts Tagged ‘experience’
Regardless of where you stand with your digital transformation project(s), are you prepared to explain how machine learning and artificial intelligence (AI) will transform your organization? For the vast majority of IT staffers, the answer will be range from kind of maybe to thats years away, so lets talk later.
The coming year is shaping up to one in which Google uses its experience managing Kubernetes clusters to close the gap between it and rival cloud services providers Amazon Web Services (AWS) and Microsoft Azure. Google has managed to maneuver itself into third place in the cloud service provider wars, thanks to focusing mainly on big data applications and providing lower-cost infrastructure services via the Google Cloud Platform (GCP).
Microservices enabled by containers are about to radically transform how enterprise software is consumed, and one of the first examples is a major revision of integrated platform-as-a-service (iPaaS) environments developed by Informatica. Informatica Intelligent Cloud Services, unveiled today, is a redesigned implementation of the companys iPaaS software that makes it much simpler for IT organizations to only consume specific modular services rather than the entire iPaaS platform, says Ronen Schwartz, senior vice president and general manager, big data, cloud and data integration at Informatica.
Provisioning a Kubernetes cluster has become a lot easier in recent months, but the daily management of the platform still can be challenging. To make it simpler to manage a Kubernetes cluster, Canonical has teamed up with Rancher Labs to deliver a Cloud Native Platform due out in early 2018.
At the DockerCon Europe 2017 conference, Docker Inc. announced it has made the Kubernetes container orchestration engine an equal citizen to Docker Swam within the context of Docker Enterprise Edition (EE) container-as-a-service (CaaS) platform. David Messina, senior vice president of marketing for Docker Inc., says IT organizations now have the option to decide as they deploy a containerized application if they want to deploy it on Docker Swarm or Kubernetes, noting the container orchestration engine is now an optional feature of the CaaS environment.
Using voice commands has become pretty ubiquitous nowadays, as more mobile phone users use voice assistants such as Siri and Cortana, and as devices such as Amazon Echo and Google Home1 have been invading our living rooms. These systems are built with speech recognition software that allows their users to issue voice commands2.
HTTPS is a must for every website nowadays: Users are looking for the padlock when providing their details; Chrome1 and Firefox2 explicitly mark websites that provide forms on pages without HTTPS as being non-secure; it is an SEO ranking factor3; and it has a serious impact on privacy4 in general. Additionally, there is now more than one option to get an HTTPS certificate for free, so switching to HTTPS is only a matter of will.
As a front-end developer, for each and every application I work on, I need to decide how to manage the data. The problem can be broken down into the following three subproblems: This article sums up my experience with consuming data from JSON, the JSON API and GraphQL back ends, and it gives practical recommendations on how to manage front-end application data.