Operations | Monitoring | ITSM | DevOps | Cloud

On October 4, Facebook and its properties, Instagram and WhatsApp, were down for more than five hours due to configuration changes on routers in Facebook’s data centers. A five-hour outage is an eternity in our always-on digital economy, costing the company an estimated $65 million and 4.8% in stock valuation. The high-profile Facebook outage is emblematic of just how digitally intermediated our economy is becoming, and the incident renews C-level focus on preventing similar service failures.

SaaS is exploding and so it should; it takes commoditized work and infrastructure away from tech teams so that they can focus on differentiating features. But what happens when it goes wrong? How do SaaS platforms make sure they aren't letting their customers down and in turn, letting their customers down? Observability, bolstered with AI gives all the partners the best chance to optimize availability and customer experience. Here's how.

At DevWeek Austin, we discussed how AI and ML have come to the DevOps toolchain and are a great fit! Here are the 3 main takeaways.

The AIOps market is flourishing and the new year is coming up, so let’s take a look at the top 3 trends to watch out for in 2022.

Burnout from work is proven to have a tangible impact on your physical health and happiness. Learn how to recognize burnout in yourself and your employees, and build a happy developer culture!

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Traditionally, the tech industry responds to complexity by applying extra brainpower to the problem, bringing in more engineers, developers, and management.