article thumbnail

Managing risk for financial services: The secret to visibility and control during times of volatility

Dynatrace

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 197
article thumbnail

Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 221
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130
article thumbnail

Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack. While Dynatrace automates tracing for various technologies, Python-based AI models require OpenTelemetry. However, Python models are trickier.

article thumbnail

What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Support diverse analytics workloads.

article thumbnail

Artificial Intelligence in Cloud Computing

Scalegrid

Discover how AI is reshaping the cloud and what this means for the future of technology. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands. Key among these trends is the emphasis on security and intelligent analytics.

article thumbnail

Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52