Operations | Monitoring | ITSM | DevOps | Cloud

DevOps teams play a crucial role in ensuring the continuous delivery of software applications. One of the key pillars of DevOps success is implementing effective monitoring and alerting strategies. In this blog post, we will explore the importance of monitoring and alerting in DevOps, discuss best practices, and provide insights into building a robust monitoring ecosystem.

Manage and correlate signals and alerts in Elastic Observability As organizations embrace increasingly complex and interconnected IT systems, the sheer volume of alerts generated by diverse monitoring tools has given rise to a critical challenge — how do we efficiently sift through the noise to identify and respond to the most crucial issues? Event management and correlation are two indispensable pillars in the realm of IT service management.

Healthcare organizations require a secure clinical communication and collaboration system that ensures care teams are well-equipped to effectively communicate, coordinate, and maximize collective knowledge to deliver high-quality patient care successfully. This system should prioritize patient privacy and data security while facilitating seamless information exchange among healthcare professionals across various departments and locations.

In the evolving landscape of IT and service management, maintaining transparency about system status and incidents is more crucial than ever. Atlassian Statuspage is a well-known player in this field, but several alternatives offer unique features and benefits.

We are consistently releasing helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest upgrades for Grafana Cloud this month. If you’re not a Grafana Cloud user, what are we waiting for?

Noisy monitors can lead to alert fatigue, which frustrates engineers and hinders innovation. With our patent-pending anomaly detection capabilities built on the power of AI, you can eliminate 60-90% of alerts. A unique differentiator, Sumo Logic’s alerts can also trigger one or more playbooks to drive auto-diagnosis or remediation and accelerate time to recovery for application incidents. Faster issue remediation means engineers can focus more time on development and releasing software.