When network issues strike, every second matters. Latency or packet loss can frustrate users and hurt revenue. Learn how Kentik AI uses natural language to speed up troubleshooting and isolate problems quickly.

As organizations transform and modernize their digital operations, the choice of infrastructure isn’t always clean cut. Hybrid cloud architecture is an increasingly popular approach to IT infrastructure, allowing organizations to take advantage of the best features of cloud and on-premises solutions. This approach enables enterprises to optimize workload placement for performance and cost, match applications to ideal environments, and strategically distribute critical assets.

Mean time to repair (MTTR), sometimes referred to as mean time to resolution, is a popular DevOps and site reliability engineering (SRE) team metric. MTTR identifies the overall availability and disaster recovery aspects of your IT assets or application workloads. The acronym MTTR can cause some confusion since it has different meanings across different industries. Sometimes, MTTR refers to mean time to respond: the amount of time needed to react to a problem.

Full stack observability (FSO) includes the ability to measure and monitor all layers of business infrastructure, security, and applications, from the underlying hardware and network performance to the user-facing software. As businesses shift from traditional, monolithic systems to more complex environments involving on-premises (on-prem) and cloud infrastructure, there comes a critical need for holistic observability.

Azure IoT Hub enables you to monitor on-prem devices down to the smallest temperature change and react accordingly from cloud device commands. But how does it work? What other features does Azure IoT have? And, most importantly, how much does it cost? Learn all you need to know about Azure IoT Hub from our expert guide.

Mike Hoy, CTO, Pulsant looks ahead to the next 12 months, identifying some of the challenges organisations are likely to face in delivering AI projects, and highlighting the importance of a resilient, connected infrastructure in meeting these. As AI proofs of concept evolve over the next 12–18 months, they will lay the groundwork for advances in technology.

With increasing numbers of alerts, keeping focus on the important and most critical alerts proves to be more and more of a challenge. A reduction of alert noise, meaning the prevention of too many created alerts and any kind of user notifications, is needed to ensure efficient alert response. While a detailed explanation of this topic is given in this blog post, a flexible and automated setup for your relevant resources can be achieved with Terraform using the ilert Terraform provider.

We’re pleased to introduce a meaningful update to our email notifications, designed to make managing alerts simpler and more intuitive. These changes help you stay focused on the notifications that matter most while giving you more control over how you monitor services.

In our December update, we have significantly revamped and improved manual alerting. If you need to carefully evaluate incidents before distributing them manually to the respective teams or want to send critical operational updates to relevant personnel, you’ll love the new features we’ve introduced! Additionally, we’ve added intelligent filtering options for automatically incoming events.

Managing Azure costs while ensuring performance and scalability can be a complex, resource-intensive process, especially when cost management tools are pieced together and used separately from monitoring solutions. To address this challenge, LogicMonitor is excited to announce cost-savings recommendations for Microsoft Azure compute and storage resources, simplifying cloud cost management with integrated insights.