At Cloudera, we have long believed that automation is key to delivering secure, ready-to-use, and well-configured platforms. Hence, we were pleased to announce the public release of Ansible-based automation to deploy CDP Private Cloud Base. By automating cluster deployment this way, you reduce the risk of misconfiguration, promote consistent deployments across multiple clusters in your environment, and help to deliver business value more quickly.
For our latest expert interview on our blog, we’ve welcomed Alice Thwaite to share her thoughts on the topic of artificial intelligence (AI) as well as the reasons behind founding technology ethics company Hattusia. Alice Thwaite is an AI ethics philosopher and ethicist who specialises in creating democratic information environments.
As the inexorable drive to cloud continues, telecommunications service providers (CSPs) around the world – often laggards in adopting disruptive technologies – are embracing virtualization. Not only that, but service providers have been deploying their own clouds, some developing IaaS offerings, and partnering with cloud native content providers like Netflix and Spotify to enhance core telco bundles.
Enterprises are quickly evolving from a posture that approached the cloud as a kind of playground to one that goes all in to achieve cloud-first, cloud-native IT. With this transition from free-for-all to mature-business-service architecture, usually involving multiple public cloud providers, comes the need to answer some thorny questions. It’s no longer sufficient to endlessly pile on additional cloud services to a growing hybrid or distributed cloud infrastructure.
Three thought leaders explore how cloud technology is reshaping data architecture and revolutionizing analytics.
The 5G hype train is generating a lot of buzz about a technology revolution that promises to pump a staggering $12 trillion into the global economy by 2035 and add over 20 million new jobs in the US alone. But behind the buzz, low-code automation is making the 5G hype legit as network operators turn to low-code platforms to deploy new 5G connectivity that’s exponentially faster and more powerful than 4th generation mobile.
When we speak to our customers, they tell us that Bugfender is great for capturing application logs and then pinpointing the logs of a specific user. By pulling all the logs from a developer’s mobile and web apps and centralizing them in a single dashboard, Bugfender gives that developer a 360-degree sweep of their entire user base. But what if you want to use this data somewhere else? What if you could provide this data within an Elasticsearch database?