Leading a team of data and analytics professionals isn’t easy; it takes more than just understanding the goal. It’s about the journey and how the people on the journey collaborate. Wes Gelpi, Director of Research & Development at SAS, joins us in a special 2-part episode. Gelpi has a rich history of taking challenging situations and running with them.

Datadog has made a name for itself as a popular cloud-native application performance monitoring tool, measuring a system’s health and status based on the telemetry data it generates. This telemetry includes machine-generated data, such as logs, metrics and traces. Cloud based applications and infrastructure generate millions (even billions) of logs – and analyzing them can generate a wealth of insights for DevOps, security, product teams and more.

Is your organization currently relying on Amazon CloudWatch for log management and log analytics in the cloud? While CloudWatch delivers on many promises for AWS infrastructure monitoring, it isn’t the only log analytics solution – and may not even be your best option. Fast-growing organizations should consider supplementing CloudWatch with innovative alternatives offering better performance at scale, superior cost economics, reduced complexity and enhanced data access in the cloud.

Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs. Now he’s one of the world’s foremost experts on wrangling vast data sets and maximizing efficiency.

How can you derive value from data? One answer is to generate alerts based on the data. Alerts help your team stay on top of a variety of potential challenges – like application performance issues, security risks, disruptions to the CI/CD delivery chain and beyond. ChaosSearch’s flexible alerting system makes it easy to generate alerts relevant to your organization’s needs.

CloudWatch is great – if you require very basic logging and monitoring for the Amazon Web Services (AWS) cloud, at least. However, the reality is that most teams need more than basic logging and monitoring. They may also need to perform log analytics on data sources from outside AWS, which CloudWatch doesn’t support. That’s why, although CloudWatch may be one tool in your log analytics strategy, it probably should not be the only one.

If you’re an engineer, it’s probably easy enough to appreciate the technical value of DevOps. DevOps makes software delivery faster, increases agility, improves collaboration and more. That being said, this is likely not the case for business professionals. They don’t always see the value of DevOps as clearly from their perspective. After all, even if you adopt the best DevOps tools and design optimal DevOps processes, there’s no guarantee that DevOps will drive business value.

The infrastructure and services running on public cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS) produce massive volumes of logs every day. An organization’s log data provides details about their entire IT environment in real time, or at any point in time in history.

Today, virtually everyone who manages infrastructure or applications relies on logging to understand what is happening within their environments. But some teams do logging better than others. Although there is no one right – or wrong – approach to log management, there are a variety of logging mistakes that engineers commonly make when deciding what to log, how to log it, and how to work with their log data.

ChaosSearch activates your cloud object storage for analytics at scale via multi-API access, with no data movement, no sharding nor re-indexing, and no data retention trade-offs. To help engineers and IT leaders experience the power of ChaosSearch for themselves, we’ve made it easier than ever to get started with our free trial experience.