Systems | Development | Analytics | API | Testing

Complete API Observability: Building Production-Grade Analytics for DreamFactory with Logstash, Elasticsearch, and Grafana

API observability is a critical operational requirement for production REST API platforms. DreamFactory, as an enterprise API generation and management platform, produces high-volume API traffic that demands robust logging, real-time analytics, and diagnostic capabilities. This guide demonstrates how to implement a complete observability stack using Logstash for log ingestion and processing, Elasticsearch for indexed storage and search, and Grafana for advanced visualization and alerting.

Expanded Observability, Orchestration, and Security with Kong Gateway 3.13

Discover expanded OpenTelemetry support, full cloud-native authentication, powerful Datakit orchestrations, and PCI DSS 4.0 attestation for Kong Konnect and Cloud Gateways. As API ecosystems grow more complex, maintaining visibility and security shouldn't be a hurdle. Kong Gateway 3.13 simplifies these challenges with expanded OpenTelemetry support and more flexible orchestration. These new capabilities not only make your APIs more observable but also make it easier to implement orchestration.

[Workshop 201] Beyond the Gateway: Governing Secure and Observable AI Agents

Join our 201-level session, "Beyond the Gateway: Governing Secure and Observable AI Agents," to move from managing simple AI calls to governing autonomous systems. Building on 101's foundation, this workshop provides the advanced blueprint to secure agent connections with granular, identity-aware policies and robust tool-use governance, ensuring you control what agents can access and which actions they can perform. We'll also dive into how to observe these autonomous interactions, using real-time behavior tracing and cost analysis to maintain performance and compliance.

How to Leverage Moesif Effectively for API Observability

You can make your API observability posture more powerful and beneficial by treating Moesif as an engineering implement. The platform automatically captures API traffic out-of-the-box and provides actionable analytics and visualizations. However, the degrees to which they precisely and empirically illustrate the data, depend on where and how you’ve integrated Moesif.

Achieve Complete Observability Over Your Data Pipelines

Data teams today manage hundreds of moving parts, from sources and syncs to transformations and warehouses, yet often find out something’s broken only after dashboards go blank or reports turn unreliable. When every second of data downtime affects critical decisions, visibility isn’t optional; it’s essential.

From Observability to Pull Request: N|Solid 6.3.1 Brings AI-Driven Performance Fixes to GitHub

At NodeSource, we’re continuously enhancing N|Solid’s AI-powered optimization workflow, helping teams identify, validate, and implement performance improvements faster and more securely. Our latest release N|Solid 6.3.1, introduces GitHub PR and MCP (Model Context Protocol) Integrations, The Model Context Protocol (MCP) is an emerging standard that allows AI systems to communicate securely with external tools and repositories.

LLM Observability Tools in 2025

1. Organizations have moved beyond pilots and are embedding LLMs into production workflows across customer support, finance, security, and software delivery. 2. LLM observability mitigates risks like hallucinations, bias, compliance breaches, and runaway costs. 3. LLM observability requires prompt/response tracking, hallucination detection, drift monitoring, RAG pipeline visibility, and long-term context tracing. 4.

Intelligent Observability: How AI is Transforming Node.js Telemetry into Actionable Optimization

Performance monitoring for Node.js has always been about two things: collecting the right telemetry and turning that telemetry into fast, confident action. With applications growing more distributed and expectations for reliability and speed rising, traditional dashboards and manual triage are no longer enough. For organizations running Node.js at scale, identifying performance bottlenecks, memory leaks, or CPU spikes can be complex and time-consuming.

Inside Observe's Series C $156M Funding Round And The Future of Observability

Observe just closed a $156 million Series C funding round, but that's only part of the story. In the last year, the company has tripled its revenue, doubled its enterprise customer base, and achieved an incredible 180% net revenue retention rate. Snowflake's Ryan Green sits down with Observe CEO Jeremy Burton for a deep dive into the strategy, technology, and leadership behind their growth. The conversation goes far beyond the funding announcement to explore the core of what makes Observe a leader in the shift to AI-powered observability.