The Morning Paper

DECEMBER 5, 2019

Benchmarking spreadsheet systems Rahman et al., When spreadsheets were originally conceived, data and formula were input by hand and so everything operated at human scale. Increasingly we’re dealing with larger and larger datasets — for example, data imported via csv files — and spreadsheets are creaking. Rahman et al.

Benchmarking 56

Benchmarking Systems Google Scalability 56

Dynatrace

DECEMBER 27, 2022

Instead, they can ensure that services comport with the pre-established benchmarks. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality. SLOs aid decision making.

Software 259

Software Software Benchmarking Latency 259

DZone

FEBRUARY 8, 2022

In a previous article , we explained how we built benchmarks to keep track of those three metrics: precision, recall, and the most important here, speed. These benchmarks taught us a lot about the true internals of our engine at runtime and led to our first improvements.

Processing 243

Processing Benchmarking Speed Engineering 243

DZone

MAY 14, 2020

We've always been excited about Arm so when Amazon offered us early access to their new Arm-based instances we jumped at the chance to see what they could do. We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors.

AWS 130

AWS Benchmarking Database Performance 130

DZone

AUGUST 2, 2022

I have generally held the view that replicating data to a secondary system is faster than sync-ing to disk, assuming the round trip network delay wasn’t high due to quality networks and co-located redundant servers. This is the first time I have benchmarked it with a realistic example. Little’s Law and Why Latency Matters.

Latency 275

Latency Benchmarking Network Infrastructure 275

The Morning Paper

MARCH 10, 2020

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Scalegrid

NOVEMBER 26, 2020

It has high throughput and runs from memory, but also has the ability to persist data on disk. In fact, it is the number one key value store and eighth most popular database in the world. Redis is a great caching solution for highly demanding applications, and there are […].

Cache 130

Cache Azure Benchmarking Performance 130

n0derunner

JUNE 28, 2019

. <span style="font-family: Andale Mono;">$ sudo -u postgres createdb <span class="highlight">pgbench-sf10</span></span> Initialise the DB with data ready to run the benchmark. The post Benchmarking with Postgres PT1 appeared first on n0derunner. Scale-Factor Working Set Size.

Benchmarking 40

Benchmarking Virtualization Database Systems 40

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Performance 125

Performance Cache Servers Social Media 125

n0derunner

JULY 23, 2019

Effect of removing CPU constraints and maintaining data locality on a running DB instance. In this video I migrate a Postgres DB running PGbench benchmark. As the DB continues to run on the new host – the Nutanix storage detects the access patterns and “localizes” the data that the DB is accessing.

Benchmarking 76

Benchmarking Storage Tuning Cache 76

Scalegrid

JANUARY 25, 2024

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. It depends upon your application workload and its business logic.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 30, 2023

Social media was relatively quiet, and as always, the Dynatrace Insights team was benchmarking key retailer home pages from mobile and desktop perspectives. There is a wealth of data tied up in logs that can be used by retailers. This year we saw few, if any, major issues with online retailers.

Retail 217

Retail Social Media Performance Benchmarking 217

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 183

Software Software Analytics Big Data 183

The Morning Paper

NOVEMBER 26, 2019

Mergeable replicated data types – part II Kaki et al., Last time out we saw how Mergeable Replicated Data Types (MRDTs) use a bijection between the natural domain of a data type and relational sets to define merge semantics between two concurrently modified versions given their lowest common ancestor (LCA).

C++ 98

C++ Storage Benchmarking Efficiency 98

Dynatrace

OCTOBER 19, 2023

With the increasing frequency of cyberattacks, it is imperative to institute a set of cybersecurity best practices that safeguard your organization’s data and privacy. This process can involve analyzing logs and other data to determine if the event represents a security threat.

Best Practices 205

Best Practices Benchmarking Speed Infrastructure 205

HammerDB

JUNE 22, 2023

extends this functionality to the GUI and adds a Web Service to view and visualize this Job related data. in in the DATA directory, set this as follows: Copy Code Copied Use a different Browser <commandline> <sqlite_db>/opt/HammerDB-4.8/DATA/hammer.db</sqlite_db> DATA/hammer.db In HammerDB v4.7

Benchmarking 57

Benchmarking C++ Virtualization Database 57

CSS Wizardry

AUGUST 24, 2022

Improving each of these should hopefully chip away at the timings of more granular events that precede the LCP milestone, but whenever we’re making these kinds of indirect optimisation, we need to think much more carefully about how we measure and benchmark ourselves as we work. It’s vital to measure what you impact, not what you influence.

Benchmarking 212

Benchmarking Metrics Cache Network 212

Dynatrace

MAY 5, 2021

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. Enforcing benchmarks in real time. What are quality gates? Using quality gates for measurable impacts.

Benchmarking 179

Benchmarking Latency Speed Software 179

Dynatrace

NOVEMBER 2, 2023

The result is smarter, data-driven solutions designed to manage cloud spend. Additionally, include benchmarks for stakeholders and best practices that support the anticipated growth of the organization as a whole. What is FinOps? This helps to prevent overprovisioning, underutilization of reserved instances, and hidden costs.

Cloud 191

Cloud Strategy Retail Energy 191

HammerDB

OCTOBER 18, 2018

With this feature Oracle generates a wealth of performance data that can be reviewed once the test is complete. However what if you want to review performance data in real time as the test is running? With HammerDB 3.1 you can now do that with Oracle Metrics. .

Benchmarking 40

Benchmarking Monitoring Performance C++ 40

Speed Curve

FEBRUARY 5, 2024

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 58

Servers Cache Retail Benchmarking 58

Dynatrace

AUGUST 29, 2022

Developers use release validation as an internal consistency mechanism to validate individual releases before collecting data for the next release. It is also a vital data collection mechanism for regression testing against subsequent releases. Look for automation tools to help with release validation data and reports.

DevOps 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

AUGUST 3, 2022

In today’s complex, data-driven world, many security vulnerabilities and attacks can jeopardize an organization’s data. To ensure the safety of their customers, employees, and business data, organizations must have a strategy to protect against zero-day vulnerabilities. Application logs are a good data source for this method.

Java 184

Java Traffic Benchmarking Strategy 184

The Netflix TechBlog

NOVEMBER 13, 2023

A voice actor in the studio Our Approach to Speech and Music Activity Detection Although the application of deep learning methods has improved audio classification systems in recent years, this data driven approach for SMAD requires large amounts of audio source material with audio-frame level speech and music activity labels.

Architecture 224

Architecture Energy Benchmarking Processing 224

CSS Wizardry

JUNE 30, 2023

However, as an internal benchmark, there are compelling reasons why some of you may actually want to keep tracking these ‘outdated’ metrics… Measure the User Experience The problem with using diagnostic metrics like Load or DOMContentLoaded to measure site-speed is that it has no bearing on how a user might actually experience your site.

Metrics 326

Metrics Google Monitoring Analytics 326

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

Speed Curve

OCTOBER 25, 2023

See the impact of performance on your business Correlation charts are a great way to communicate the business value of performance to everyone in your business – using your own data. You can also add you own data, such as conversion rate and cart size, so you can create custom chart types. This is the place to find that out.

Benchmarking 64

Benchmarking Metrics Website Monitoring 64

The Morning Paper

JANUARY 16, 2020

Synthesizing data structure transformations from input-output examples , Feser et al., Program synthesis from examples falls into that latter camp, and the use case addressed here is a perfect fit for it: transforming data structures. The paper focuses on generating transformations for such recursive data structures (trees, lists).

Programming 56

Programming Benchmarking Testing Systems 56

Percona

JANUARY 2, 2024

We decided to run a few benchmarks to understand how the thread pool affects long-running transactions. When analyzing the workload, I found that the performance drop was caused by applications executing some very long queries like UPDATE affecting many rows, INSERT… SELECT without limit clause and other similar DMLs.

Benchmarking 90

Benchmarking Servers Tuning C++ 90

SQL Shack

SEPTEMBER 9, 2019

Index Fill factor SQL Server Index Fill Factor is a percentage value to be filled data page with data in SQL Server. This option is available in index properties to manage data storage in the data pages. In this article, we will study in detail about the how SQL Server Index Fill factor works. It […].

Benchmarking 56

Benchmarking Servers Performance Storage 56

Speed Curve

FEBRUARY 28, 2024

I saw a change to my RUM data and I want to see if I can replicate it with synthetic for further diagnostics." "I Benchmarking. Based on feedback from our customers – as well as the industry at large – we now give you the ability to run tests when debugging, benchmarking, or just because you feel like it.

Testing 76

Testing Benchmarking Performance Testing Metrics 76

Percona

DECEMBER 20, 2023

Unfortunately, the performance in benchmarks is almost the same as for 4KB pages. Please check out the Why Linux HugePages are Super Important for Database Servers: A Case with PostgreSQL blog post for more information. Setup I recommend starting with 2MB huge pages because it’s trivial to set up.

C++ 104

C++ Virtualization Benchmarking Database 104

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 54

Performance Benchmarking Cache Storage 54

Scalegrid

MARCH 22, 2024

This covers everything from tech specs and what you expect from the service to security, how you’ll handle data, and how services will be managed. Hosting either on-premises or with third-party data center providers and deciding whether management services should be conducted internally or outsourced.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

MAY 3, 2022

When it comes to Dynatrace DEM, Vinh puts it simply: “We focus on providing answers instead of just more data.” “Our team helps customers get the most out of DEM through configuration, data expertise, and analysis,” says Voorhies. AIOps leverages user experience data to inform DevOps.

Mobile 163

Mobile Monitoring Benchmarking Best Practices 163

HammerDB

OCTOBER 24, 2023

Insert based load In previous releases, HammerDB loads data using inserts, (or supported a manual use of BCP by generating flat files with the datagen option) and you can still perform schema loads with inserts by deselecting the Use BCP Option. We thank @krithikasatish and @JoshInnis for this excellent contribution to HammerDB.

Servers 62

Servers C++ Benchmarking Virtualization 62

Dynatrace

NOVEMBER 2, 2020

Today’s IT infrastructures combine on-premise data centers, servers, and mainframes with highly dynamic multi-cloud environments, with microservices running in containers, spanning multiple clouds and hybrid infrastructure. AI-assistance: Use AI to detect anomalies and benchmark your system. What is infrastructure monitoring? .

Infrastructure 196

Infrastructure Monitoring Virtualization Serverless 196