The Occupational Safety and Health Administration (OSHA) will delay the electronic record-keeping rule’s submission deadline until Dec. 15. https://goo.gl/GYymwb #GlobalHR #HRTech
Twitter Finally Begins to Monetize Their APIs
ICYMI: It has been a long time coming, but Twitter has finally started charging for premium access to their APIs. Until now, you could only access data via the free Twitter API with limitations, or pay to use Gnip at the enterprise level–nothing in between. I’ve long complained about how Twitter restricts access to our tweets, as well as the lack of transparency and honesty around their business model. I’ve complained so much about it, I eventually stopped writing about it, and I never thought I’d see the day where Twitter starts charging for access to their platform.
While I have concerns about Twitter further limiting access to our data by charging for API access, their initial release has some positive signs that give me hope that they are monetizing things in a sensible way. They seem to be focused on monetizing some of the key paint points around Twitter API consumption, like being able to get more access to historical data, offer more Tweets per request, higher rate limits, a counts endpoint that returns time-series counts of Tweets, more complex queries and metadata enrichments, such as expanded URLs and improved profile geo-information. Twitter seems to be thinking about the primary pain we all experience at the lower rungs of Twitter access, and focusing on making the platform more scalable for companies of all shapes and sizes–which has been core to my complaints. https://goo.gl/eJq3Bh #DataIntegration #ML
Multi-Region APIs Using AWS API Gateway
I’ve been deploying two projects using AWS API Gateway, Lambda, and Amazon RDS lately. I’ve become so sold on this approach to deploying APIs as part of this work, that I am evolving my own internal API process to use the same approach. The technical aspect of serverless plus the gateway definitely convinced me of the potential, but it was also the usage of AWS IAM which sealed the deal for me. I’m all too aware of how much my API security lacks as a one-person shop, something that I also see reflected in my client operations, and I’d rather be offloading security to AWS than ending up taking the hit on it down the road.
While deploying my project using AWS API Gateway, and Lambda, I was faced with the question regarding which zone I should be deploying the APIs in. It is the first time I’ve been faced with the opportunity to deploy my APIs into multiple zones. Sure, I could have deployed my servers into any AWS zone before, but for some reason now that I’m doing with AWS API Gateway, and Lambda, the opportunity seemed more of a possibility. I’ve pitched it to my client to consider an east as well as a west coast API deployment, so that we can give developers the choice in the documentation to choose which availability zone they’d like to use in their application. Before I make the proposal I’m going to deploy some prototypes, and do some benchmark testing, and see what the benefits are. https://goo.gl/aSXSG2 #DataIntegration #ML
