Got cybersecurity problems? Well, the good news is the same as the bad news — you’re not alone. The world of security has a big data problem and an even bigger people problem. Enterprise connectivity has drastically increased in the last decade, meaning every employee, contractor, and vendor has some level of access to corporate networks. To support this growth, companies monitor exponentially increasing infrastructure and traffic, producing a steadily rising volume of data.

When troubleshooting distributed applications, you can use Cloud Trace and Cloud Logging together to perform root cause analysis.

A career in platform engineering means becoming part of a product team focused on delivering software, tools, and services.

In this livestream, Ahmed Kira and I provided more details about the Cribl Stream Reference Architecture, which is designed to help observability admins achieve faster and more valuable stream deployment. We explained the guidelines for deploying the comprehensive reference architecture to meet the needs of large customers with diverse, high-volume data flows. Then, we shared different use cases and discussed their pros and cons.

For retailers and ecommerce store owners, your bottom line is always affected whenever your service is down, due to today's consumers expecting their digital interactions to operate around the clock. This is particularly crucial during spikes in traffic due to sales, like Black Friday or Cyber Monday.

In today’s contemporary landscape, organizations produce more data than ever, which needs to be collected, stored, analyzed, and retained, but not necessarily in that order. Historically, most vendors’ analysis tools were also the retention point for that data. Still, while this may first appear to be the best option for performance, we have quickly seen it creates significant problems.