Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks. Recovery time of the latency p90.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 263

Government Analytics Benchmarking Storage 263

Scalegrid

NOVEMBER 4, 2024

Performance Benchmarking of PostgreSQL on ScaleGrid vs. AWS RDS Using Sysbench This article evaluates PostgreSQL’s performance on ScaleGrid and AWS RDS, focusing on versions 13, 14, and 15. This study benchmarks PostgreSQL performance across two leading managed database platforms—ScaleGrid and AWS RDS—using versions 13, 14, and 15.

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

DZone

JANUARY 24, 2024

This article presents the most recent Memphis.dev Cloud, multi-region benchmark tests conducted in December 2023, explores how to carry out performance testing, detailing hands-on methods you can apply yourself, and provides recent benchmark data for your reference. The benchmark tool we used can be found here.

Cloud 280

Cloud Benchmarking Testing Performance 280

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Both serve distinct purposes, from managing message queues to ingesting large data volumes.

Latency 147

Latency Analytics Architecture Storage 147

Speed Curve

FEBRUARY 10, 2020

What are some good sites I can use for benchmarking? Page Speed Benchmarks is an interactive dashboard that lets you explore and compare web performance data for leading websites across several industries – from retail to media. Identify sites you can use for your own competitive benchmarking. How fast should I be?

Benchmarking 138

Benchmarking Speed Performance Media 138

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 306

Software Software Benchmarking Latency 306

DZone

JULY 2, 2024

Among the critical enablers for fast data access implementation within in-memory data stores are the game changers in recent times, which are technologies like Redis and Memcached. We have run these benchmarks on the AWS EC2 instances and designed a custom dataset to make it as close as possible to real application use cases.

Scalability 264

Scalability Performance Benchmarking Games 264

The Netflix TechBlog

DECEMBER 19, 2024

Frequently, practitioners want to experiment with variants of these flows, testing new data, new parameterizations, or new algorithms, while keeping the overall structure of the flow or flowsintact. This has been a guiding design principle with Metaflow since its inception.

Best Practices 204

Best Practices Cache Metrics Code 204

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

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

Scalegrid

JUNE 4, 2020

Latency is the average transaction execution time of your PostgreSQL data. PostgreSQL Benchmark Setup. Here is the configuration we used for the ScaleGrid and DigitalOcean benchmark performance tests highlighted above: Configuration. Benchmark Tool. PostgreSQL Version. Scaling Factor. Query Mode. Number of Clients.

Database 230

Database Latency Benchmarking Performance 230

Percona

APRIL 1, 2025

For stateful workloads like PostgreSQL, storage must offer high availability and safeguard data integrity, even under intense, high-volume conditions. Picking the right option is critical, directly impacting performance, reliability, and scalability. To address these concerns, […]

Storage 62

Storage Benchmarking Scalability Database 62

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 246

Benchmarking Latency Speed Software 246

The Netflix TechBlog

JUNE 20, 2023

The first method, which can be seen as a form of weak supervision , leverages auxiliary data in the form of a screenplay by aligning screenplay text with timed text (closed captions, audio descriptions) and assigning timestamps to the screenplay’s scene headers (a.k.a. sluglines). Figure 1: a scene consists of a sequence of shots.

Benchmarking 262

Benchmarking C++ Availability Programming 262

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 266

Benchmarking Metrics Cache Network 266

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

Dynatrace

SEPTEMBER 21, 2022

Service-level objectives (SLOs) are key to the SRE role; they are agreed-upon performance benchmarks that represent the health of an application or service. SREs need SLOs to measure and monitor performance, but many organizations lack the automation and intelligence to streamline data.

Artificial Intelligence 264

Artificial Intelligence Benchmarking DevOps Engineering 264

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 261

Java Traffic Benchmarking Strategy 261

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 246

Software Software Analytics Big Data 246

Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Retail 152

Retail C++ Analytics Metrics 152

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 264

DevOps Benchmarking Cloud Monitoring 264

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 278

Retail Social Media Performance Benchmarking 278

The Netflix TechBlog

NOVEMBER 22, 2019

Technology advancements in content creation and consumption have also increased its data footprint. To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 38

AWS Entertainment Open Source Benchmarking 38

Dynatrace

JUNE 21, 2024

They collect data from multiple sources through real user monitoring , synthetic monitoring, network monitoring, and application performance monitoring systems. This data provides organizations with end-to-end visibility of the entire user journey across the tech stack.

Best Practices 264

Best Practices Monitoring Metrics Transportation 264

DZone

JUNE 21, 2024

This paper deals with definitions and understanding of structured data vs unstructured data, how various storage segments react to block size changes, and differences between I/O-driven and throughput-driven workloads. It also highlights the calculation of throughput and the choice of storage product based on workload type.

Storage 162

Storage Performance Benchmarking Processing 162

HammerDB

SEPTEMBER 24, 2024

The key findings of the article were as follows: This server had a HammerDB benchmark running against it. During a copy operation, the data is transferred from the client’s file system to the Aurora PostgreSQL DB cluster. But why are we running a COPY operation during a benchmark anyway?

Benchmarking 68

Benchmarking Performance Metrics Database 68

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 264

Best Practices Speed Benchmarking Infrastructure 264

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

CSS Wizardry

FEBRUARY 25, 2021

This, of course, is exacerbated by the new Vitals announcement, whereby data from the Chrome User eXperience Report will be used to aid and influence rankings. The data is static which isn’t necessarily a drawback until it is—DevTools allows us to work far more quickly and interactively, responding to changes and tweaks as we make them.

Network 286

Network Mobile Performance Traffic 286

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 246

Infrastructure Monitoring Virtualization Serverless 246

Dynatrace

SEPTEMBER 21, 2023

A single data center can consume the equivalent electricity of 50,000 homes.” The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). Using Carbon Impact, we can now implement efficiency measures driven by the app’s benchmarks and recommendations.

Energy 264

Energy Cloud Airlines Strategy 264

Dynatrace

AUGUST 5, 2020

With Dynatrace, you can also validate your findings against Real User Monitoring data or even drill down to the code level to pinpoint the root cause of a change in performance. This is definitely a great starting benchmark against which to optimize your application. Validate synthetic results with real user data.

Metrics 246

Metrics Monitoring Performance Benchmarking 246

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 327

Metrics Google Code Monitoring 327

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 242

Mobile Monitoring Benchmarking Best Practices 242

Dynatrace

JUNE 27, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM collects data on each user action within a session, including the time required to complete the action, so IT pros can identify patterns and where to make improvements in experience.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

Dynatrace

NOVEMBER 22, 2022

Five-nines availability: The ultimate benchmark of system availability. Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. Gather observability data from all digital touchpoints.

Infrastructure 246

Infrastructure Availability Systems Retail 246