Operations | Monitoring | ITSM | DevOps | Cloud

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

Datadog vs Grafana (2025) - Costs, Use Cases, and Key Differences

When engineering teams evaluate observability tools, the "Datadog vs. Grafana" debate is one of the most common. The choice is difficult because they represent two fundamentally different philosophies. Datadog is a comprehensive, all-in-one, managed SaaS platform. It offers a "buy" solution where you get a unified experience for metrics, logs, and traces out of the box. Grafana is an open-source, highly flexible visualization layer.
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Avantra + Ansible: Better Together for Enterprise SAP Automation

Enterprises trust Ansible for fast, reliable infrastructure automation, including terraform for automated cloud provisioning. Many organizations using Ansible leverage Ansible SAP playbooks for SAP infrastructure automation. Avantra extends the scope of SAP operations using Ansible, adding observability, ITSM and ALM solution integration, and orchestration across the SAP estate. Avantra and Ansible together provide a closed-loop solution where monitoring, automation and proof of outcome live in one place across on-premise, hyperscaler and private cloud ERP implementations.

Streams: Elastic's New AI That Turns Log Chaos into Clarity

Elastic just made every SRE’s life easier. With the new Elastic Streams, AI automatically organizes, structures, and analyzes billions of logs, helping you find issues, detect anomalies, and fix problems in minutes, not hours. See how Elastic’s deep generative AI core turns chaos into clarity for Site Reliability Engineers and developers worldwide.

A Visionary in the 2025 Gartner Magic Quadrant for DEM

ITRS has been named a Visionary in the 2025 Gartner Magic Quadrant for Digital Experience Monitoring — for the second year running. We’ve spent another year working alongside you to solve real problems, scale what works, and prepare for what’s next. If you’re delivering resilient, high-performing digital experiences while meeting evolving compliance demands, our direction is shaped by your needs.

External Request Monitoring: The Silent Pillar Every APM Needs

The global market for application performance monitoring (APM) is growing fast. Market research shows the industry is expected to rise from about USD 7.52 billion in 2023 to nearly USD 19.62 billion by 2030, with a compound annual growth rate (CAGR) of around 15.1%. This rapid expansion reflects how digital transformation, hybrid cloud adoption, and third-party integrations are reshaping performance monitoring needs. It’s no longer enough to track just internal code paths and database queries.

Observability Masterclass | AI-Driven Observability for Enhanced System Performance

Tuesday, October 28, 10:00 - 11:00am CDT In today’s relentless digital world, achieving peak system performance isn’t just a goal—it’s mission-critical. Join SolarWinds and GigaOm for an electrifying webcast featuring renowned Observability authority Jon Collins, VP of Engagement and Field CTO at GigaOm.

Integration & Data Ingestion: Strengthening AIOps Observability

Large enterprises face the challenge of managing high-volume, very diverse data streams that span both legacy and modern, digital systems and applications. To gain timely, accurate insight across this kind of complexity, IT teams need observability platforms that can do more than just monitor - they must also unify, contextualize and enrich data so teams can act effectively to protect the availability of the services their customers rely on.

Query Distinct Tag Values in Under 30ms with the InfluxDB 3 Distinct Value Cache

The Distinct Value Cache (DVC) available with InfluxDB 3 Core and InfluxDB 3 Enterprise lets you cache distinct values of specific columns and query those values in under 30ms. The DVC is an in-memory cache that stores distinct values of one or more columns in a table. It is typically used to cache distinct tag values, but you can also cache distinct field values.

How AI-Native Pipelines Reduce 80% of Noisy Data for Lower Costs and Better Security

Security data is exploding. Most organizations see their telemetry volumes double every two to three years, driven by cloud adoption, distributed architectures, and an expanding attack surface. Yet only a small percentage of that data contains real indicators of compromise. Analysts estimate that nearly 80 percent of SIEM and observability logs have little or no analytical value.