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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

REST API Observability for Python

In this blog post we’ll help answer the age old question, “What does this service talk to and what does it say?” We’ll see how to inspect inbound and outbound REST API calls to see what calls are being made and what incoming traffic causes a reaction. This can be pretty handy when you’re taking over maintenance of an existing service, or if your code just isn’t behaving the way you expect.

Log4j Detection with JFrog OSS Scanning Tools

The discovery of the Log4Shell vulnerability in the ubiquitous Apache Log4j package is a singular event in terms of both its impact and severity. Over 1 million attack attempts exploiting the Log4Shell vulnerability were detected within days after it was exposed, and it may take years before we see its full impact.

Open Source Projects Contribute to in 2022

With a nearly endless array of open source projects available to contribute to these days, knowing where to start contributing can feel easier said than done. Need some inspiration? Whether you’re new to the world of open source, are gearing up for Open Source Fridays in the new year, or just want to see what other folks are excited about, check out a few of our favorite open source projects to contribute to in 2022.

Announcement: Pleco - the open-source Kubernetes and Cloud Services garbage collector

TLDR; Pleco is a service that automatically removes Cloud managed services and Kubernetes resources based on tags with TTL. When using cloud provider services, whether using UI or Terraform, you usually have to create many resources (users, VPCs, virtual machines, clusters, etc...) to host and expose an application to the outside world. When using Terraform, sometimes, the deployment will not go as planned.

Eight Effective Ways To Leverage Machine Learning Ad Tools

More and more agencies and brands are relying on machine learning these days to analyze mountains of data and provide insights they can use to better inform advertising campaigns. Using ML, artificial intelligence tools can recognize patterns in data gleaned from existing campaigns to see how ads are impacting customer engagement, purchase intent and conversion rates.

Decoding Kubernetes: Is Robin the industry's answer to enterprise demands?

If the last few years have taught us anything, it is that digital transformation is an inevitable reality for all industries, across the globe. Enterprises are running thousands of applications to deliver to growing customer needs. Data centers are continuously evolving to cater to these applications, with yesterday’s siloed, on-premises versions eventually making way to the hybrid cloud models that we see today.

The rise of private 5G: Why enterprises are pushing play on private 5G deployments

Private 5G is becoming the technology of choice for organizations worldwide. Especially with the advent of Industry 4.0, private 5G has gained traction in emerging sectors, like smart manufacturing, where low latency, high capacity and data security are all critical parameters to business success. Recent studies have revealed that private 5G is becoming a key business strategy for CIOs, with the vast majority planning to deploy it in standalone or hybrid ecosystems within the next two years.

Five Building Blocks for Successful AI-Enabled IT

Advances in machine learning and NLP have cracked the flood gates open and AI is now emerging as the definitive transformational technology of our times. A recent IDG study found 93% of IT professionals have already deployed or started to explore AI to augment their ITSM and ITOM modernization efforts. Clearly, AI is making its way into our workplaces faster than we imagined.

The future is not the Internet of Things... it is the Connected Intelligent Edge

The ‘Internet of Things’ was first coined to help people understand the concept of digital appliances that could communicate with an app or central hub. If you’ve been to CES at any point in the last decade, you could see many examples on the show floor, such as connected weight scales or a connected fridge. But these early examples of ‘connected’ tech felt more gimmicky than useful, and were largely contained to the consumer electronics industry.