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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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Lessons learned from enterprise service-level objective management

Dynatrace

Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality.

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What is a Distributed Storage System

Scalegrid

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130
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Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT 52
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Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52
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Design Patterns: Queue-Based Load Leveling Pattern

cdemi

Azure Service Bus - The Go-To choice if you're already on Azure, High Throughput, Predictable Performance, Predictable Pricing, Secure, Scalable on Demand. Apache Kafka - High-Throughput, Low-Latency, Uses Apache ZooKeeper for Distribution, Written in Scala and Java.

Design 47
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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. Architecture An explanatory description of Amazon Aurora’s architecture can be found in Vadim’s post written a few years ago.

AWS 52