Operations | Monitoring | ITSM | DevOps | Cloud

You Came Looking for Restorepoint. You're in the Right Place.

Restorepoint earned recognition for solving one of the hardest and most important challenges in network operations: keeping every device configuration backed up, verified, and ready to recover. It gave teams confidence that their infrastructure was consistent, compliant, and protected from the smallest misstep. ScienceLogic acquired Restorepoint in 2021 to build on that strength and extend it.

Faster, more collaborative data exploration: Introducing saved queries in Grafana Cloud

Writing queries is one of Grafana’s most powerful features, but it can also be one of the most time-consuming. Whether you’re exploring logs or building new dashboards, you often find yourself and your team rewriting the same queries over and over again. This is why we rolled out saved queries, a feature that makes it easy for everyone on your team to save, share, and reuse queries, eliminating the need to start from scratch each time.

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.

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.

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.

Shadow AI on Trial: The Phantom Threat to Compliance

Every law firm I meet can explain its information security policy in minutes. Far fewer can tell me which AI tools their staff actually used last week, and what data those tools touched. That gap is where Shadow AI sits, such as unsanctioned, unmonitored use of generative AI slips in. It promises speed, but it quietly creates exposure: confidentiality breaches, weak auditability, and a risk to governance when the regulator (or a client’s GC) asks hard questions.