Operations | Monitoring | ITSM | DevOps | Cloud

The digital workplace of the future is right around the corner and many enterprise tech leaders are probably wondering: How can I be prepared for the changes that lie ahead? Luckily, we’ve gathered together some of the brightest minds in the game to deliver their predictions. These experts range from technology leaders and analysts that have devoted their careers to pushing the limits of the digital workplace.

Logs are a wealth of information containing meta-data from IP addresses, User Names, and error codes. While this is all extremely helpful, the task of understanding all this can seem overwhelming at times to an untrained eye. Other times, corporations might have additional resources they would like to enrich their logs with, i.e., adding a department name to a log message that depends on the username in the log.

SAP HANA is a data analytics platform that uses an in-memory, column-oriented data store to efficiently execute transactional (OLTP) and analytical (OLAP) queries. It can perform these queries against its own tables, or against data that resides in remote, non-SAP databases like Hadoop or SQL Server. SAP HANA also serves as the database behind SAP’s S/4HANA ERP platform. Datadog’s new integration helps you better understand the health and performance of your SAP HANA systems.

Monitoring today is more complex and nebulous than ever before. Teams have to deal with barriers like tooling, data overwhelm, and process problems making it difficult to get a clear line of communication from code to customer. In our Portland Tech Leaders’ event, our seasoned host Scott Hanselman, Partner Program Manager at Microsoft, takes us on a deep dive into how our experienced panel use tools, processes, and agile workflows to overcome these hurdles to create world-class software.

“3.7%. That’s how penetrated the cloud market is today. We’re talking a trillion-dollar market only penetrated by 3.7%. The world is up for grabs.” “Customers are not going to want technology to be slower. They’re not going to want it less performant or less secure.

In case you missed our pair programming session about how to run, crash, and debug a Native application using Sentry, worry not! Our artificial intelligence Richard — much more intelligent than it thinks — has used its special powers to upload a recording of our session. This time, we chose a very special victim: Symbolicator. That’s the service responsible at Sentry for processing native crash reports.