Operations | Monitoring | ITSM | DevOps | Cloud

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

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.

12 IT Infrastructure Best Practices Every IT Leader Should Follow

Why do IT infrastructure issues continue to slow down teams even when tools keep improving? In most IT environments, the challenge is not a single failure. It is a set of ongoing operational gaps that are easy to overlook but difficult to control over time. A few of the common challenges include: In 2026, IT environments are more distributed and fast-changing than before. Hybrid infrastructure, cloud adoption, and strict compliance requirements make consistency harder to maintain.

Why SRE agents need orchestration, not just more tools

Single agents are a useful starting point for SRE workflows. They are not where the architecture should end. The first version is simple enough: connect an LLM to a few tools, give it a system prompt, and point it at your infrastructure. It can summarize an alert, pull logs, answer questions, and draft a useful next step. Then the workflow gets real. You add GitHub for runbooks, Kubernetes for cluster state, PagerDuty for incident context, Prometheus for metrics, and Mezmo for telemetry.

Agent Timeline: The Flight Recorder for Your AI Agents

Last week, we introduced Agent Timeline, a powerful new observability experience purpose-built for debugging AI agent workflows in production. Agent Timeline uniquely connects AI-layer visibility to full-stack observability by organizing telemetry around an agentic conversation. A conversation contains one or more agent executions, each of which may contain LLM calls, tool invocations, handoffs, retries, human escalations, and downstream system calls.

Media Monitoring Evolved: How AI Makes Website Tracking Tools Essential

The average person would need 180 million years to read everything published online in a single day. For organizations trying to track what people say about their brand, manual monitoring stopped being viable somewhere around 2015. AI-powered media monitoring tools now process this impossible volume automatically, detecting brand mentions, analyzing sentiment, and flagging potential crises before they spiral.

Diagnose slow PostgreSQL queries faster with explain plan correlation

When a PostgreSQL query runs slowly, engineers often start with EXPLAIN ANALYZE. The output is a tree of plan nodes, each one describing a step the database took to execute it. A query with several joins and a subquery can produce 20 or more nodes. But the plan gives no visual indication of which node corresponds to each clause in the SQL text. Diagnosing the problem means viewing the plan in one window and the query in another, manually tracing connections between them.

Explore Datadog metrics with Natural Language Queries

Metric exploration often begins with a simple question, but answering that question can require deep familiarity with metric names, tag structures, and query syntax. Experienced users spend time refining queries through trial and error, and newer users struggle to get started. As a result, teams face delays in troubleshooting and analysis. Valuable observability data, including metrics that are difficult to discover and query, also goes underused.