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Event-Based Autoscaling: Ensuring Smooth Operations on Your Peak Days

DZone

In today’s world, companies often find themselves grappling with unpredictable surges in workloads, especially during pivotal events. These organizations face a common challenge – how much infrastructure do they need to ensure optimal performance without overprovisioning – which can become very costly, very quickly.

Retail 169
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions. These initial automation endeavors paved the way for greater advancements, leading to the next evolution of event-driven automation.

DevOps 220
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Service level objectives: 5 SLOs to get started

Dynatrace

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Latency 177
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Traffic 173
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. ETL workflows), as well as downstream (e.g.

Systems 226
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Serverless applications are composed of event-driven functions that run on demand in response to triggers from various sources, such as HTTP requests, messages, or timers. Scale automatically based on the demand and traffic patterns.

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Implementing service-level objectives to improve software quality

Dynatrace

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Latency is the time that it takes a request to be served. SLOs aid decision making. SLOs promote automation. Define SLOs for each service.

Software 263