Exercise, Software and Traffic - Technology Performance Pulse

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic

Traffic Latency Tuning Systems

Service level objectives: 5 SLOs to get started

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.

Latency

Latency Website Traffic Virtualization

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

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.

Traffic

Traffic Latency Website Virtualization

MySQL Capacity Planning

Percona

AUGUST 8, 2023

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth.

Traffic

Traffic Cache Monitoring Database

Labor's New Deal

The Agile Manager

JUNE 30, 2021

Imagine a company with, say, 100 experienced software engineers, project managers, QA engineers and the like that expects to add a dozen more people to the team in the next year. And, per the aforementioned statistics, labor is exercising that power. They will have to be aggressive just to stay in place. Well, labor is back.

Social Media

Social Media Retail Media Software Engineering

Failure Modes and Continuous Resilience

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. In the same way that we have moved from a few big software releases a year to continuous delivery of many small changes, we need to move from annual disaster recover tests or suffering when things actually break, to continuously tested resilience.

Latency

Latency Engineering Systems Hardware

Failure Modes and Continuous Resilience

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. In the same way that we have moved from a few big software releases a year to continuous delivery of many small changes, we need to move from annual disaster recover tests or suffering when things actually break, to continuously tested resilience.

Latency

Latency Engineering Systems Hardware

Automating chaos experiments in production

The Morning Paper

JULY 4, 2019

They use a combination of timeouts, retries, and fallbacks to try to mitigate the effects of these failures, but these don’t get exercised as often as the happy path, so how can we be confident they’ll work as intended when called upon? If ChAP detects excessive customer impact during an experiment, the experiment is stopped immediately.

Latency

Latency Engineering Metrics Traffic

Build automated self-healing systems with xMatters and Dynatrace (Part 3 of 3)

Dynatrace

SEPTEMBER 20, 2019

Blue/green deployment for releasing software faster, safer. One is the currently-running production environment receiving all user traffic (let’s say the “blue” one), the other is a clone of it (“green”), but idle. Once the testing results are successful, application traffic is routed from blue to green.

Systems

Systems Traffic DevOps Database

Questions of Worth

The Agile Manager

MARCH 31, 2017

While I was writing chapter 3 of my book, Activist Investing in Strategic Software , I spent time researching the rise of centralized procurement departments in the 1990s. Buying became an exercise in sourcing for the lowest unit cost any vendor was willing to supply for a particular skill-set.

Innovation

Innovation Energy Serverless Hardware

Why I hate MPI (from a performance analysis perspective)

John McCalpin

AUGUST 1, 2018

This is an intellectually challenging and labor-intensive exercise, requiring detailed review of the published details of each of the components of the system, and usually requiring significant “detective work” (using customized microbenchmarks, hardware performance counter analysis, and creative thinking) to fill in the gaps.

Hardware

Hardware Transportation Performance Latency

Our Once and Future Wisdom: Re-acquiring Lost Institutional Knowledge

The Agile Manager

FEBRUARY 28, 2017

For example, ghost code - code that is not commented out but will conditionally never be executed - is likely to be confused for real code in a reverse-engineering exercise. A clone of something extinct - our lost business knowledge - runs the risk of suffering severe defects. The facts are fantastic to have, but facts are not knowledge.

Strategy

Strategy Java Code Systems

A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

OCTOBER 2, 2017

VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud. Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases.

Internet

Internet Internet AWS Performance

Technology Performance Pulse

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Service level objectives: 5 SLOs to get started

Trending Sources

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

MySQL Capacity Planning

Labor's New Deal

Failure Modes and Continuous Resilience

Failure Modes and Continuous Resilience

Automating chaos experiments in production

Build automated self-healing systems with xMatters and Dynatrace (Part 3 of 3)

Questions of Worth

Why I hate MPI (from a performance analysis perspective)

Our Once and Future Wisdom: Re-acquiring Lost Institutional Knowledge

A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

Stay Connected