I’m sure many of you will have tried out the predictive features in ITSI, and you may even have a model or two running in production to predict potential outages before they occur. While we present a lot of useful metrics about the models’ performance at the time of training, how can you make sure that it is still generating accurate predictions? Inaccuracy in models as the underlying data or systems change over time is natural.

Welcome back to another day in paradise. Today we are announcing the release of Splunk Enterprise 8.2. Since our last release of Splunk Enterprise 8.1 at .conf20, we have continued development of new and enhanced capabilities for our twice a year release cadence. In Splunk Enterprise 8.2, we have focused our development offers across a number of themes: insights, admin productivity, data infrastructure, and performance.

Application monitoring is a well-established discipline that dates back decades and remains a pillar of software management strategies today. However, as software environments and architectures have evolved, monitoring techniques have needed to evolve along with them. That’s why many teams today rely on distributed tracing to glean insights that they can’t gather from application monitoring alone.

Properly analyzing the massive amounts of data created by network access and the associated security tools has become a very tedious chore. Today’s cybersecurity professionals are seeking ways to better deal with the massive influx of information so that they can make intelligent choices when it comes to the cybersecurity posture of their networks. Selecting the proper tools is an important task which merits investigation.

In the last six months, multiple major cyber attacks have severely impacted hundreds of organizations in both the public and private sectors, and disrupted the daily lives of tens of thousands of their employees and customers.

LogDNA Alerts are a key feature for developers and SREs to stay on top of their systems and applications, as it notifies them of important changes in their log data. However, with so many different workflows to account for, it was important to enable a flexible solution that could connect to any team’s toolkit.

Cloudflare is a content delivery network (CDN) that organizations across industries use to secure the reliability of their websites, applications, and APIs. With a wide array of security, networking, and performance-management tools, millions of web applications employ Cloudflare’s DDoS protection, load balancing, and serverless compute-monitoring features to maintain high performance and uptime.

Lambda not logging to CloudWatch? It’s actually one of the most common issues that come up. Let’s briefly go over why this problem needs to be solved. CloudWatch is the central logging and monitoring service of the AWS cloud platform. It gives you insights into all the AWS services. Even if you can’t deploy and test serverless systems locally, CloudWatch tells you what’s happening to them.

The wide-spread adoption of cloud infrastructure has proven to be highly beneficial, but has also introduced new challenges and added costs – especially when it comes to security. As organizations migrate to the cloud, they relinquish access to their servers and all information that flows between them and the outside world. This data is fundamental to both security and observability.

Amazon Web Services (AWS) recently announced the launch of CloudWatch Metric Streams. Cloudwatch Streams can stream metrics from a number of different AWS resources using Amazon Kinesis Data Firehose to target destinations. The new service is different from the current architecture. Instead of polling, metrics are delivered via an Amazon Kinesis Data Firehose stream. This is a highly scalable and far more efficient way to retrieve AWS service metrics.