Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. Reduced cost.

Cloud 164

Cloud Traffic Best Practices Strategy 164

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. This can significantly elevate user satisfaction and engagement.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

Performance 107

Performance Monitoring Traffic Database 107

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

Brendan Gregg

AUGUST 18, 2019

bpftrace is a new open source tracer for Linux for analyzing production performance problems and troubleshooting software. For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. software Kernel software-based events.

Latency 68

Latency C++ Cache Programming 68

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

CSS Wizardry

OCTOBER 27, 2018

Things always always feel fast when we’re developing because, more often than not, we’re working on high-spec machines on dedicated networks, and also serving from localhost which removes the bulk of the latency and bandwidth issues that a real user would suffer. Unfortunately, most issues do not get captured at this point.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 56

Hardware Latency Virtualization Cloud 56

The Morning Paper

NOVEMBER 5, 2019

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. The storage backend is the software module directly managing the storage device attached to physical machines.

Storage 64

Storage Systems Hardware Efficiency 64

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

HammerDB

OCTOBER 23, 2023

The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. Gbits/sec We also test both local port and socket connections and found that a local port provided the best comparative data for both MySQL and MariaDB. On MySQL, we saw a 1.5X On MySQL, we saw a 1.5X

Benchmarking 62

Benchmarking Database Network C++ 62

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

All Things Distributed

JANUARY 23, 2012

VM Import allows our customers to move virtual machine images from their datacenters to the Cloud and Amazon Direct Connect makes the network latencies and bandwidth between on-premises and AWS more predictable. The AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage.

Storage 115

Storage AWS Virtualization Cloud 115

O'Reilly

JANUARY 16, 2024

I’ve been diligent about data backup throughout my life, but my files are fragmented amongst different media over the years—burning CDs and DVDs back in the day, several generations of external hard drives (that are in various states of decay), university servers, Dropbox, and other cloud services.

Entertainment 73

Entertainment Internet Internet Design 73

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. When instances are placed in a cluster they have access to low latency, non-blocking 10 Gbps networking when communicating the other instances in the cluster.

Cloud 118

Cloud AWS Automotive Latency 118

Dynatrace

SEPTEMBER 29, 2020

As of September 2020, we run 51 clusters on 1100 EC2 instances distributed across six AWS Regions ensuring that all our users can leverage the Dynatrace Software Intelligence Platform to monitor their hybrid-multi cloud environments. Sydney, we have a disk write latency problem!

Infrastructure 179

Infrastructure Cloud Monitoring AWS 179

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

KeyCDN

AUGUST 15, 2019

In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances. An interruption in data flow due to limited capacity is called a bottleneck. Measurements refer to specific data points, such as the number of seconds it takes to process a request.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. When an application is triggered, it can cause latency as the application starts. This creates latency when they need to restart.

Serverless 243

Serverless Efficiency Lambda Azure 243

Adrian Cockcroft

MARCH 17, 2020

The opening paragraph above is the same as my previous discussion focused on hardware, software and operational failure modes , but we are now in the middle of a pandemic, so I’m going to adapt the discussion of hazards and failure modes to our current situation. What Happens Next?

Healthcare 52

Healthcare Government Airlines Systems 52

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency.

Open Source 61

Open Source Hardware Benchmarking Systems 61

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.”

Latency 51

Latency C++ Hardware Performance 51

The Morning Paper

MAY 21, 2019

Software-defined far memory in warehouse-scale computers Lagar-Cavilla et al., This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. ASPLOS’19. The opportunity.

Software 78

Software Software Google Hardware 78

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. For example: $ /opt/mongodb/4.0.6/bin/mongos

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

All Things Distributed

APRIL 4, 2017

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. In making the switch to AWS, WOW air has saved between $30,000 and $45,000 on hardware, and software licensing.

AWS 116

AWS Airlines Latency Games 116

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand.

Network 92

Network Transportation Latency Entertainment 92

All Things Distributed

MARCH 11, 2016

Almost from day one, we knew that the software we were building would not be the software that would be running a year later. We needed to build such an architecture that we could introduce new software components without taking the service down. Build evolvable systems. Primitives not frameworks. Automation is key.

AWS 144

AWS Hardware Retail Virtualization 144

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. Software and hardware components are autonomous and execute tasks concurrently. For example, this can lead to data synchronization issues and node failures. Three-Tier.

Systems 74

Systems Monitoring Hardware Network 74

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80