article thumbnail

Building Resilience With Chaos Engineering and Litmus

DZone

The scalability, agility, and continuous delivery offered by microservices architecture make it a popular option for businesses today. Nevertheless, microservices architectures are not invulnerable to disruptions.

article thumbnail

Google Improves Cloud Spanner: More Compute and Storage without Price Increase

InfoQ

Google recently announced various improvements to Cloud Spanner, its distributed, decoupled relational database service with a “50% increase in throughput and 2.5 times the storage per node than before” without a price change. By Steef-Jan Wiggers

Google 100
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

Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner

Uber Engineering

The platform handles billions of database transactions each day, ranging from user actions (e.g., a driver starting a trip) and system actions … The post Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner appeared first on Uber Engineering Blog.

Google 141
article thumbnail

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. million AI server units annually by 2027, consuming 75.4+

Cache 204
article thumbnail

Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Java, Go, and Node.js

article thumbnail

Lessons learned from enterprise service-level objective management

Dynatrace

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. These four dimensions apply to any layer in the technical stack, such as front-end, databases, and external services. So, what did they do?

article thumbnail

Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace has extended the platform’s deep and broad observability and advanced AIOps capabilities to all major serverless architectures. Dynatrace Advances Application Security with Real-Time Attack Detection and Blocking.

Code 181