Operations | Monitoring | ITSM | DevOps | Cloud

SolarWinds 2025.1: New Network Device Support You Need to See!

Discover what’s new in SolarWinds Platform 2025.1! This update brings expanded network device support for Aruba, Fortinet, Ruckus Smart Zone Wireless, and Extreme Networks. Get hardware health insights, Layer 2 & 3 metrics, VLAN details, routing table utilization, and more!

SRE Challenges & APM Solutions

Site Reliability Engineers (SREs) face constant challenges as cloud environments and microservices grow more complex. Performance issues often go unnoticed until they escalate, leading to downtime and disruptions. With Site24x7 APM, you can stay ahead of issues before they impact your business. Our Application Performance Monitoring (APM) solution provides real-time insights, predictive analytics, and deep visibility across your entire IT ecosystem—helping you.

PagerDuty for Financial Services

PagerDuty acts as the primary interface for real-time actions, seamlessly connecting humans and systems. From the moment a monitoring tool detects a signal to the resolution of an incident, every action is automatically tracked and timestamped. With reduced human error and no risk of missed documentation, PagerDuty provides a reliable, efficient, and transparent incident management solution for financial entities.

Introducing Beautiful Status Pages with Pagerly

Pagerly Status Page App offers a comprehensive solution to manage and display the status of services with real-time updates, customizable design, and subscriber notifications. Host your status page on a custom domain and include detailed service-level timelines for clarity and professional presentation. Why Pagerly Status Pages are the best Real-Time Updates: Instantly update status pages with both manual and automated workflows to keep everyone informed about incidents as they happen.

Chris Unwin - test data management with Redgate

Chris Unwin discusses the challenges of test data management and how Redgate can solve them. They highlight the difficulties in finding data, discovering PII data, and implementing protective measures like masking. They emphasize the importance of automating these processes to improve feedback cycles and speed up delivery.

AI in Embedded Systems: A Black Box You Must Learn To Control

AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.