Are you a practitioner looking to attend the speaking sessions at PagerDuty Summit 2019 and want to get into the weeds with the PagerDuty developer community? This year, the PagerDuty Community Team is drumming up many special activities that puts users at the front lines of real-time operations.

In our recent article, we outlined the benefits of Security Information and Event Management (SIEM) systems, and why it is a must-have for every organization that operates in today’s cyberspace. It remains the best solution that proactively targets proliferating security threats, though SIEM also brings a number of risks and challenges. In this blog, we address these challenges and explain how they can be overcome by opting for SIEM-as-a-Service instead of on-premises or other options.

Traditional databases suffer a problem when ingesting data. They operate on a schema-on-write approach where data indexed must have a predefined schema as you ingest your data into the database. This schema-on-write model means that you need to take time in advance to dive into your data and understand what is there, and then process your data in advance to fit the defined schema.

Thanks to all who attended our second annual Dash conference! We hope that you enjoyed your time with us at New York City’s Chelsea Piers, and that you were able to learn about building and scaling systems and teams in our breakout sessions and workshops. For those of you who were unable to attend, we hope to see you next year. Check out some of the highlights from our two-day conference below.

Hive and Spark are two very popular and successful products for processing large-scale data sets. In other words, they do big data analytics. This article focuses on describing the history and various features of both products. A comparison of their capabilities will illustrate the various complex data processing problems these two products can address.