Remove Latency Remove Speed Remove Technology
article thumbnail

Dynatrace on Microsoft Azure in Australia enables regional customers to leverage AI-powered observability

Dynatrace

For Dynatrace customers, this means their data and end users in the region will benefit from faster time to value and deeper integration with the Microsoft technology stack to help comply with local data privacy and security requirements. This local SaaS presence minimizes latency and maximizes the speed and reliability of data access.

Azure 278
article thumbnail

RabbitMQ vs. Kafka: Key Differences

Scalegrid

Its partitioned log architecture supports both queuing and publish-subscribe models, allowing it to handle large-scale event processing with minimal latency. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency. Apache Kafka, designed for distributed event streaming, maintains low latency at scale.

Latency 147
Insiders

Sign Up for our Newsletter

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

article thumbnail

Performance and Scalability Analysis of Redis and Memcached

DZone

Speed and scalability are significant issues today, at least in the application landscape. Among the critical enablers for fast data access implementation within in-memory data stores are the game changers in recent times, which are technologies like Redis and Memcached. However, the question arises of choosing the best one.

article thumbnail

Introducing Impressions at Netflix

The Netflix TechBlog

This nuanced integration of data and technology empowers us to offer bespoke content recommendations. This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability.

Tuning 166
article thumbnail

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

Dynatrace

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Emerging technology frameworks. Disadvantages.

article thumbnail

What is full stack observability?

Dynatrace

As organizations grapple with mounting cloud complexity, IT teams know they must identify and respond to evolving issues across the entire technology stack—from mainframes to multicloud environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies.

DevOps 303
article thumbnail

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

Dynatrace

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Risk in banking is broad and interconnected. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 246