Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Application Performance Monitoring and related technologies.

Monitor OCI spend, AI in DDSQL Editor, OTLP Metrics API, and more | This Month in Datadog

See how you can gain insights into cloud costs by tracking OCI spend and easily comparing instance types in October’s episode of This Month in Datadog. Join us for a spotlight of Cloud Cost Management’s support for Oracle Cloud Infrastructure, and the product’s new feature, Instance Explorer, which enables you to visualize and easily compare the cost and performance of instances across AWS, Azure, and Google Cloud.

APM for Banks and Fintech: Ensuring Stability in High-Transaction Apps

The financial services industry is undergoing a major transformation. According to the McKinsey & Company 2025 Global Payments Report, digital payments continue to dominate, generating approximately $2.5 trillion in revenue from around $2.0 quadrillion in value flows across 3.6 trillion transactions worldwide. In another survey conducted by JP Morgan says that, more than 30 percent of financial professionals reported that faster payments are having a positive impact on their organizations in 2025.

APM in 2026: The New Standard for Business Reliability and Growth

Global IT spending is expected to reach a record $6.08 trillion by 2026, with software investments growing by 15.2%. This shows how critical application performance has become for businesses today. For almost 80% of companies, even one hour of downtime can cost more than $300,000. In a world where every digital experience affects your revenue and brand reputation, keeping your applications performing well is no longer optional.

Transform and Migrate Logs with Datadog Custom Processor

See how Datadog’s new Custom Processor in Observability Pipelines helps you transform and migrate logs from platforms like Splunk and Sumo Logic with precision and control. This demo walks through real examples of using VRL (Vector Remap Language) to enrich log data, rewrite timestamps, apply quotas, and securely process archives.

Redefining Frontend Observability with Datadog RUM

Discover how Datadog is redefining frontend observability with Real User Monitoring (RUM). In this demo, see how RUM helps teams detect, investigate, and resolve frontend issues that directly impact user experience and business outcomes. With RUM Without Limits, you get full visibility into every user session, giving you an accurate and comprehensive view of your users’ experiences. Monitor performance, track errors, and understand how your application behaves in real time.

Monitoring Chaos Experiments with New Relic Probe in Harness

New Relic probes in Harness Chaos Engineering let you automatically validate system performance against defined SLOs during chaos experiments, transforming subjective testing into objective, metrics-driven resilience validation. By querying New Relic metrics in real-time and comparing results against your success criteria, you can programmatically verify that your systems maintain acceptable performance levels even under failure conditions.

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.

Scaling Java Web Applications: Choosing Between Microsoft Windows and Linux OS

Java is one of the most widely used platforms for supporting web applications. According to RedMonk and TIOBE rankings, Java has consistently remained in the top 4 most popular programming languages worldwide, with millions of developers actively using it. Industry-standard application servers such as WebLogic, WebSphere, Tomcat, and JBoss all run on Java and power a large share of enterprise workloads and Java web applications.