Dynatrace

Hands-on Observability Guide with Prometheus and Grafana

This technical guide demonstrates building an observability stack for a Node.js API using Prometheus and Grafana. It explains the three pillars of observability — logs, metrics, and traces — and walks through instrumenting an Express app with the prom-client library to expose counters, histograms, and gauges. The article includes a Prometheus scrape configuration, a docker-compose setup to run Prometheus and Grafana, common PromQL queries (request rate, error rate, p95/p99 latency, active requests, Node.js heap usage), and a traffic-generation example using autocannon. It shows how dashboards and alerts help diagnose issues (example: a spike in error rate on a specific route) and lists practical best practices such as using meaningful labels, avoiding high-cardinality labels, and following the RED method (Rate, Errors, Duration).

Zero Copy Data Access Explained

The article explains the 'Zero Copy' pattern—accessing remote data without duplicating it locally—using ServiceNow's implementation called Virtual Data Fabric Tables. Instead of extracting and storing data via ETL, ServiceNow issues live queries to external systems and temporarily holds results in memory for user interaction. The piece lists benefits (no duplication, no sync, reduced destination security surface) and trade-offs (latency, uptime dependency, load on sources, API costs, limitations for complex reporting). It outlines ideal use cases: handling sensitive data, real-time troubleshooting, occasional point-in-time lookups, and working with very large datasets where moving data is impractical.

Bank of America names five tech stocks with major upside

Bank of America highlighted five technology stocks it views as top investment ideas entering the second half of 2026: Nvidia, Meta, Snowflake, Dynatrace and Sandisk. The note cites company-specific catalysts and analyst meetings: Bank of America raised Sandisk’s price target after management meetings and favorable multi-year contract moves; Dynatrace’s target was nudged higher on confidence in AI-driven ARR growth; Meta is seen as benefiting from new AI search and upcoming product/LLM catalysts; Snowflake was reaffirmed as a Buy based on its data-warehouse positioning and interoperability; and Nvidia’s $350 price objective is justified by leading share in AI compute/networking. The article was published June 20, 2026 on CNBC and summarizes Bank of America analyst views and price-target changes.