Remove Availability Remove Exercise Remove Infrastructure Remove Latency
article thumbnail

Service level objectives: 5 SLOs to get started

Dynatrace

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Latency 179
article thumbnail

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

Dynatrace

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Traffic 173
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

Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

The big difference from the monolith, though, is that this is now a standalone service deployed as a separate “application” (service) in our cloud infrastructure. Functional Testing Functional testing was the most straightforward of them all: a set of tests alongside each path exercised it against the old and new endpoints.

Latency 233
article thumbnail

Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). Are you comfortable setting up your own cloud infrastructure through AWS or Azure? Expert Tip.

Cloud 242
article thumbnail

Taiji: managing global user traffic for large-scale Internet services at the edge

The Morning Paper

Taiji’s routing table is a materialized representation of how user traffic at various edge nodes ought to be distributed over available data centers to balance data center utilization and minimize latency. This outcome at our deployment scale means a reduction of our infrastructure footprint by more than one data center.

Traffic 42
article thumbnail

Automating chaos experiments in production

The Morning Paper

In this type of environment, there are many potential sources of failure, stemming from the infrastructure itself (e.g. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors). Defining and running experiments.

Latency 77
article thumbnail

Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. This is why most AWS regions have three availability zones.

Latency 52