Adrian Cockcroft

FEBRUARY 9, 2023

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. Netflix made many contributions to open source projects by it’s cloud platform team.

Engineering 137

Engineering Serverless Lambda AWS 137

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. 2) Hardware limitations Disk and memory are inexpensive nowadays. An example is running MongoDB on Mesos.

Best Practices 73

Best Practices Traffic Database Servers 73

Adrian Cockcroft

NOVEMBER 13, 2023

This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. A rough guide if you don’t have any better data is that with no traffic to a system it will be 10% utilization and use 30% of peak power, 25% utilization uses 50% of peak power, and at 50% utilization it uses 75% of peak power.

Energy 52

Energy Cloud Traffic Transportation 52

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. We ended up setting it in the BaseAMI for all cloud services.

Speed 126

Speed Java AWS Virtualization 126

Dynatrace

AUGUST 5, 2019

Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. Resource consumption & traffic analysis. It covers these key areas: Technology & Dependency Analysis.

Cloud 31

Cloud Traffic Database Network 31

VoltDB

JUNE 1, 2017

An opening scene involving a traffic jam of Viking boats and a musical number (“Love Can’t Afjord to wait”). Hardware Optimizers” want to get the maximum utilization out of hardware. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. Vikings fight zombies.

Hardware 56

Hardware Latency Virtualization Cloud 56

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. When code isn’t in use, the cloud providers typically throttle it all the way down.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dotcom-Montior

NOVEMBER 24, 2021

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network. Concurrency. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

VoltDB

JUNE 1, 2017

An opening scene involving a traffic jam of Viking boats and a musical number (“Love Can’t Afjord to wait”). Hardware Optimizers” want to get the maximum utilization out of hardware. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. Vikings fight zombies.

Hardware 40

Hardware Latency Virtualization Cloud 40

Dotcom-Montior

JUNE 19, 2017

Let’s face it – the ideal load test emulates real world traffic, yet most load testing software doesn’t come close. Today we’ll be reviewing LoadView , an on-demand load-testing platform from Dotcom-Monitor that makes realistic load testing possible without an up-front investment in hardware or software infrastructure.

Performance Testing 40

Performance Testing Testing Performance Virtualization 40

Dotcom-Montior

NOVEMBER 27, 2018

LoadView, our on-demand, cloud-based load and stress testing platform , takes an outside-in approach to performance testing. It helps assess how a site, web application, or API will respond to various traffic, without adding any additional infrastructure.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. We ended up setting it in the BaseAMI for all cloud services.

Speed 52

Speed Java AWS Virtualization 52

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. We ended up setting it in the BaseAMI for all cloud services.

Speed 40

Speed Java AWS Virtualization 40

Brendan Gregg

SEPTEMBER 5, 2017

Linux has been adding tracing technologies over the years: kprobes (kernel dynamic tracing), uprobes (user-level dynamic tracing), tracepoints (static tracing), and perf_events (profiling and hardware counters). The way the cloud is used helps with security: most instances at my employer have only been up for one or two days.

Virtualization 76

Virtualization AWS Engineering Hardware 76

Percona

AUGUST 27, 2018

Essentially, you can assign a thread to a specific virtual CPU. assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. MySQL determines, at startup, how many virtual CPUs are available.

Tuning 45

Tuning Virtualization Testing Servers 45

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. When customers left the constraining, old world of IT hardware and datacenters behind, they started to develop systems with new and interesting usage patterns that no one had ever seen before. Primitives not frameworks.

AWS 144

AWS Hardware Retail Virtualization 144

Smashing Magazine

JANUARY 11, 2021

CrUX generates an overview of performance distributions over time, with traffic collected from Google Chrome users. But account for the different types and usage behaviors of your customers (which Tobias Baldauf called cadence and cohorts ), along with bot traffic and seasonality effects. You can create your own on Chrome UX Dashboard.

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

JANUARY 18, 2012

DynamoDB is the result of 15 years of learning in the areas of large scale non-relational databases and cloud services. s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Several years ago we published a paper on the details of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167