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They know how to take things from theory and design and turn them into real product experiences that address actual needs and preferences. One of the things that makes this marriage such a great fit is Pulse’s history of building products that optimize for the preference of each individual customer. And with Pulse as part of our team, we can move even more quickly to set a new example for the industry. Mozilla, with an almost 25 year history of building products with people and privacy at their core, is the right organization to do that. It became immediately obvious that we both fundamentally agree that the world needs a model where automated systems are built from day one with individual people as the primary beneficiary.
Which explains why we were so excited when we began talking to the Pulse team. In short, Mozilla will continue its tradition of DOING: building products that serve as examples of a better way forward for the industry, a way forward that puts people first. It is possible to build machine learning models that act in service of the people on the internet, transparently, respectful of privacy, and built from the start with a focus on equity and inclusion. Building ML models to drive these experiences requires data on people’s preferences, behaviors, and actions online, and that’s why Mozilla has taken a very cautious approach in applying ML in our own product experiences. At its best, it helps all of us to have better, richer experiences across the web.
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Machine learning (ML) has become a powerful driver of product experience. They will spearhead our efforts in applied ethical machine learning, as we invest to make Mozilla products more personal, starting with Pocket. The products that Raj, Jag, Rolf, and team have built are a great demonstration of their creativity and skill, and we’re incredibly excited to bring their expertise into our organization.
Once the load was appropriately balanced across our infrastructure, and we were able to confirm that our up-scaling systems were prepared to handle any future spikes, we re-enabled the Threads view for all users.I’m proud to announce that we have acquired Pulse, an incredible team that has developed some truly novel machine learning approaches to help streamline the digital workplace. The optimisation and redistribution work brought error rates down, which resolved most of the issues with channel loading, group direct messages, hyperlinks, and Saved items that users were experiencing.Īt this point, we made the call not to re-enable the Threads view in order to give our recovery efforts more time to restore balance to the system.
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We also made several code changes to reduce the effect a de-provisioning job of this scale would have on our infrastructure, and redistributed some of the load across other parts of the system. In parallel, we ended the long running de-provisioning jobs, and significantly scaled up the systems that handle those jobs. Some customers may have also had trouble with loading channels, adding users to group direct messages, API hyperlink rendering, and missing Saved items.Ī mass de-provisioning event inadvertently increased load across our infrastructure, causing issues with Threads for many users.Īs an immediate mitigation strategy, we temporarily deactivated the Threads view for all users. PDT, a number of customers had trouble loading and receiving thread notifications.
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