Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

SEPTEMBER 15, 2020

It differentiates Dynatrace as an AWS Partner Network (APN) member with a fully tested product on AWS Outposts. “We Dynatrace can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”.

AWS 198

AWS Design Storage Cloud 198

Dynatrace

NOVEMBER 11, 2020

Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. As such, it’s quite often a network-shared mount point that multiple hosts use to store third party software and libraries. Advanced customization of OneAgent deployments made easy.

Best Practices 193

Best Practices Storage Java Benchmarking 193

High Scalability

OCTOBER 24, 2022

Cloud Infrastructure Services -- An analysis of potentially anti-competitive practices by Professor Frédéric Jenny. Each cloud-native evolution is about using the hardware more efficiently. Network effects are not the same as monopoly control. A group advocating for fair licensing. Neither are clouds.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

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.

Performance 140

Performance Latency Hardware Storage 140

Percona

JUNE 22, 2023

long_query_time: Defines the threshold for query execution time, and queries taking longer than this threshold are considered slow and logged for further analysis innodb_buffer_pool_size: Sets the size of the InnoDB buffer pool. The point we’re making here is they are critical for MySQL Performance.

Performance 106

Performance Monitoring Traffic Database 106

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 110

Availability Database Open Source Hardware 110

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there.

Energy 130

Energy Latency Performance Network 130

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 94

Open Source Database Hardware Strategy 94

Percona

JULY 7, 2023

Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability. If so, what are the legal liabilities?

Availability 85

Availability Open Source Architecture Database 85

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Scalegrid

JULY 13, 2020

There is also a wide network of Oracle partners available to help you negotiate a discount , typically ranging from 15%-30%, though larger discounts of up to 40%-60% are available for larger accounts. pg_repack – reorganizes tables online to reclaim storage. So Which Is Best?

Open Source 244

Open Source Tuning C++ Database 244

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. There are also large differences in storage capacity and throughput between these extremes.

Azure 72

Azure Virtualization Servers Storage 72

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

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.

Performance 52

Performance Latency Hardware Storage 52

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. Static analysis and the IR. It can’t handle loops for example (an analysis of 4.6M pruning).

Processing 72

Processing Hardware Database Azure 72

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. Could it be Analyzing efficient stream processing on modern hardware ? I don’t think so in this case, but this paper will take you down into the nitty-gritty of getting the best out of modern processors and networks, with up to two orders of magnitude single node throughput gains to be had.

Blockchain 46

Blockchain Hardware Google Analytics 46

Tim Kadlec

JANUARY 9, 2019

Sites that use an excess of resources, whether on the network or on the device, don’t just cause slow experiences, but can leave entire groups of people out. Similarly, there is a growing gap between what a top of the line network connection can handle and what someone with a poor mobile connection or satellite connection can handle.

Performance 111

Performance Energy Internet Internet 111

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Dynatrace

AUGUST 5, 2019

It covers these key areas: Technology & Dependency Analysis. Resource consumption & traffic analysis. While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts.

Cloud 31

Cloud Traffic Database Network 31

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. s a summary chart of the TCO analysis. What this chart summarizes is that.

AWS 118

AWS Hardware Traffic Best Practices 118

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Real-time network protocols for enabling videoconferencing, desktop sharing, and game streaming applications. Modern, asynchronous network APIs that dramatically improve performance in some situations. is access to hardware devices. Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. This is effectively a top-down approach to failure mode analysis, and it avoids the trap of getting bogged down in all the possible things that could go wrong using a bottoms-up approach. Book: Engineering a Safer World by Nancy G.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. This is effectively a top-down approach to failure mode analysis, and it avoids the trap of getting bogged down in all the possible things that could go wrong using a bottoms-up approach. Book: Engineering a Safer World by Nancy G.

Latency 53

Latency Engineering Systems Hardware 53

Alex Russell

OCTOBER 22, 2017

We constrain ourselves to a real-world baseline device + network configuration to measure progress. Budgets are scaled to a benchmark network & device. JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. The median user is on a slow network.

Performance 68

Performance Benchmarking Network Mobile 68

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. Intel Quick Assist Technology (QAT) was the focus of the QZFS paper which used this new hardware device to speed up file system compression.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

NOVEMBER 15, 2010

The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel. Programming the GPU evolved in a similar fashion; it started with the early APIs being mainly pass-through to the operations programmed in hardware. Where to go from here?

AWS 136

AWS Latency Programming Architecture 136

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Isolated parts of the database can serve read/write requests in case of network partition. To prevent conflicts, a database must sacrifice availability in case of network partitioning and stop all but one partition.

Database 213

Database Latency C++ Scalability 213

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). At my employer we sometimes use SR-IOV for direct network interface access, and NVMe for direct disk access. x series.

Virtualization 76

Virtualization AWS Engineering Hardware 76

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? And, often, to giving up.

Hardware 99

Hardware Storage Big Data Blockchain 99

Smashing Magazine

JANUARY 11, 2021

Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. Treo provides competitive analysis based on real-world data. If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. Large preview ). Large preview ). Choose the right metrics.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Treo Sites provides competitive analysis based on real-world data. If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G/4G network in your office for faster testing.

Performance 145

Performance Cache Network Metrics 145