Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Introducing Atatus Sensitive Data Classifier

Your logs know too much. Every debug statement, every traced request, every APM span can carry the risk of capturing something they shouldn't. A customer email. A JWT token. A credit card number. An API key that was never meant to leave your payment service. It doesn't look like a breach. There's no alert. Your observability platform just quietly accumulates sensitive data like indexed, replicated, and accessible to every engineer with log query access.

How we made a SQL query optimization agent 59% more accurate using autoresearch and LLM Observability

Without experiment infrastructure to help you test your LLM applications, every research session starts with the same questions: What have we tried previously? What were the numbers? Which prompt version produced that result? Why did we discard that approach? The answers live in scattered notes, terminal history, and half-remembered conversations. Each handoff between sessions loses context. In practice, iteration can slow down as teams get bogged down in testing and analysis.

How to audit and clean up monitors effectively

Alert fatigue and blind spots develop together. Monitoring stacks that generate noise while missing critical issues may have incomplete coverage or poorly configured alerts. As they grow reactively and without structured coverage assessment, both issues worsen. Teams will often add monitors when something breaks and tune thresholds when alerts become unbearable, but rarely audit their overall setup to see if it works.

AI Powered IT Operations & Autonomous Resilience | Full SolarWinds Day Q2 2026 Event Replay

Watch the full SolarWinds Day 2026 event on-demand and discover how AI is transforming IT operations, observability, and incident response. In this exclusive event, SolarWinds CEO Sudhakar Ramakrishna and product leaders unveil the company’s vision for Autonomous Operational Resilience—powered by AI, automation, and unified visibility across hybrid and multi-cloud environments.

Microsoft Fabric outage disrupted analytics workloads on May 18, 2026

On May 18, 2026, organizations using Microsoft Fabric experienced a multi-hour outage that disrupted analytics workloads, reporting systems, and access to platform services across several regions. StatusGator detected the developing incident at 14:00 UTC using Early Warning Signals, 37 minutes before Microsoft officially acknowledged the outage at 14:37 UTC.

The $600 billion wake-up call: New Splunk research reveals downtime is a systemic business crisis

600 billion annual impact: Aggregate downtime costs for the Global 2000 have soared 50% in two years. $15,000 per minute: The average cost of downtime for organisations, highlighting the immediate financial impact of service disruptions. 3.4% stock price drop: The average decline in shareholder value following a single downtime incident.

What's New in Graylog V7.1 Webinar

What to Expect? Graylog 7.1 is built for lean security and IT operations teams who need real outcomes, not more tools, more add-ons, or more manual work. This 30-minute deep dive session covers what's new and what it means for your team. What you'll learn: See Graylog 7.1 in action: detection, triage, and documentation without compromise.

Reality Byes The Birth of Mobile DEX (Opening the Black Box)

On this edition of Reality Bytes, Dina and Tom welcome Rose Cicala, Director of Product Marketing, and Mile Djokic, Senior Product Manager, to discuss the launch of Mobile Experience — and what it means for the future of Digital Employee Experience. Together, they explore why mobile devices have become mission-critical for frontline and hybrid workforces, why mobile visibility has remained a major blind spot for IT, and how Mobile DEX changes that. The conversation covers healthcare, retail and manufacturing use cases, AI compliance, application insights, VDI convergence, and the growing shift toward mobile-first work strategies.

The New Compliance Crisis: AI Is Outrunning Its Controls

Enterprises have spent decades refining compliance frameworks around workflows that were linear, predictable, and well-documented. These frameworks were built for systems that executed actions deterministically and for human operators who made decisions slowly enough for oversight to keep up. In that environment, compliance could function as a retrospective discipline because the evidence required to validate behavior generally existed in complete, stable form.