Remove Exercise Remove Hardware Remove Latency Remove Traffic
article thumbnail

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

The Morning Paper

Taiji: managing global user traffic for large-scale internet services at the edge Xu et al., It’s another networking paper to close out the week (and our coverage of SOSP’19), but whereas Snap looked at traffic routing within the datacenter, Taiji is concerned with routing traffic from the edge to a datacenter. SOSP’19.

Traffic 42
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). This can result in significant cost savings for high traffic applications. No problem.

Cloud 242
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

Automating chaos experiments in production

The Morning Paper

degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect. 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

Why I hate MPI (from a performance analysis perspective)

John McCalpin

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

article thumbnail

Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. This discussion focuses on hardware, software and operational failure modes. 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.

Latency 52
article thumbnail

Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. This discussion focuses on hardware, software and operational failure modes. 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.

Latency 53