I recently had a conversation with one of our customers at AWS re:Invent that made me rethink the true value of automation. This customer told me, “You’ve automated so much for us that we almost forget about Qovery. Nobody even asks how to do things anymore.” That statement stuck with me.

I’ve been quite open about the many ways AI-driven projects can go wrong. With so many ways to fail, what makes Sumo Logic Mo Copilot set up for success? Let’s discuss each of these points in detail.

With all the hype surrounding AI, it’s critical to focus on building resilient networks capable of handling the performance demands that AI will introduce. As I often say, if your network observability solution isn’t detecting packet loss, neither will your AI engine. When you ask, “What’s the status of our global network health this morning?” a flawed or incomplete response could jeopardize critical decisions.

Across regions and industries, organizations are continuing to expand their use of SD-WAN technologies. This move is happening for good reason. With SD-WAN, organizations are realizing reduced costs, improved communication security, and enhanced flexibility. One of the ways SD-WAN delivers these benefits is through an intelligent layer of abstraction that manages network traffic and dynamically controls the flow of data.

Holidays came early for AWS users: Grafana 11.4 introduces support for two new query languages in the AWS CloudWatch data source plugin. Grafana 11.4: Download now Announced during AWS re:Invent, AWS CloudWatch Logs expanded its querying capabilities with the addition of OpenSearch Piped Processing Language (PPL) and OpenSearch SQL. In Grafana 11.4, the AWS Cloudwatch data source plugin has been updated to offer the same functionality — and the same flexibility.

Editor's Note: This post first published in April 2021. Jenny updated it in December 2024. Did you know that public safety agencies were among the earliest adopters of rugged tablet technology over 25 years ago? It’s true.