We are excited to join AWS for the launch of Amazon CloudWatch Metric Streams; a fully managed, scalable, and low latency service that streams Amazon CloudWatch metrics to partners via Amazon Kinesis Data Firehose. AWS and Sumo Logic customers can now leverage AWS Kinesis Firehose for Metrics Source for streaming CloudWatch metrics into their Sumo Logic accounts, to help simplify the monitoring and troubleshooting of AWS infrastructure, services, and applications.

Marketing and Site Reliability teams rarely meet in most organizations. It’s especially rare outside the context of product marketing sessions or content creation. With observability now pivotal to success, we should be looking to bring the two together for technical and commercial gains. In this piece, we’re going to explore the meaning of observability and its relevance to marketing metrics.

Why do organizations invest in observability? Because it adds value. Sometimes we forget this when we’re building our observability solutions. We get so excited about what we’re tracking that we can lose sight of why we’re tracking it. Technical metrics reveal how systems react to change. What they don’t give is a picture of how change impacts the broader business goals. The importance of qualitative data in business observability is often overlooked.

Metrics Explore is the Logz.io feature for deep dives into Prometheus metrics. Similar to Kibana Discover, it allows for easy querying, pull-down list selections, and other ways to navigate your data. Best yet, you can explore important metadata for detailed metric analysis. There are a few ways to move around the metrics in your system. Get started by finding the Explore icon on the left-hand menu.

Data lakes have challenges. And until you solve those problems, efficient, cost-effective data analytics will remain out of reach. That’s why ChaosSearch is rethinking the way businesses manage and analyze their data. As Mike Leone, Senior Analyst for Data Platforms, Analytics and AI at ESG Global, and Thomas Hazel, ChaosSearch’s founder and CTO, explained in a recent webinar, ChaosSearch offers a data analytics optimization solution that makes data faster and cheaper to store and analyze.

Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically.