Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

AUGUST 26, 2020

“ Dynatrace just makes observability easy—it works out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources.” There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale!

Performance 150

Performance Hardware Java Storage 150

DZone

DECEMBER 27, 2020

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. Let’s review each of the CPU time in this article. User CPU Time and System CPU Time.

Operating System 218

Operating System Hardware Network Systems 218

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 177

Lambda AWS Serverless Hardware 177

The Netflix TechBlog

NOVEMBER 9, 2021

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. Having a suite of tools that can provide summarized metrics for these streaming sessions is critical to the success of Netflix AV1 streaming.

Media 246

Media Open Source Software Engineering Efficiency 246

Dynatrace

MAY 14, 2020

Dynatrace just makes this easy—it comes out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources. . A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. All this automatically and with the same hardware. Your feedback.

Processing 152

Processing Hardware Traffic Storage 152

Tasktop

MAY 28, 2020

Jim has been instrumental in helping the company to double down on software innovation as a product mindset across complex value streams that straddle both software and hardware. Accelerating with a Software/Hardware Hybrid. The data backed our team’s intuition that that’s where the issues were,” Jim notes.

Speed 52

Speed Metrics Transportation Hardware 52

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Other such metrics include uptime, downtime, number of incidents, time between incidents, and time to respond to and resolve an issue. So, what is MTTR?

DevOps 204

DevOps Artificial Intelligence Metrics Network 204

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 339

Open Source Java Operating System Programming 339

Dynatrace

NOVEMBER 2, 2023

Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. Detecting operational errors by elimination is a surefire way to deplete hours-to-deadline.

Cloud 217

Cloud Infrastructure Strategy Hardware 217

Dynatrace

JULY 30, 2020

Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines. Introducing Davis data units (DDUs) for increased flexibility with custom metrics. Hardware requirements updates – “Trial” node category changed to Micro. Requirements on binary data are now increased by 1GB.

Hardware 104

Hardware Java Innovation Metrics 104

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 222

Latency Traffic Transportation Cloud 222

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Additionally, large differences in a metric by themselves do not make a metric poor.

Energy 98

Energy Architecture Hardware Metrics 98

Dynatrace

APRIL 15, 2022

. “This enabled us to fundamentally improve the application, remove performance bottlenecks, and also give us the data we needed to understand how to migrate into the cloud.” ” This allows Dynatrace to present relevant data, in context, for applications and operations — delivering the best observability possible. .

Cloud 173

Cloud Infrastructure Innovation Monitoring 173

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 105

Performance Monitoring Traffic Database 105

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Both methods allow you to ingest and process raw data and metrics. The ADS-B protocol differs significantly from web technologies.

IoT 206

IoT Analytics Transportation Metrics 206

The Netflix TechBlog

NOVEMBER 9, 2022

a contiguous chunk of data (typically 64 bytes on x86 systems) transferred to and from the cache. We take CPU cache consistency for granted, but this “false sharing” pattern illustrates there’s a huge performance penalty for simply reading a variable that is neighboring with some other unrelated data.

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Our procurement decisions were based on trace data that was pulled from a handful of fragmented monitoring solutions.

Google 192

Google Engineering Metrics Hardware 192

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!). can all provide valuable insights.

Latency 269

Latency Ecommerce Servers Mobile 269

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

Smashing Magazine

OCTOBER 27, 2021

Nowadays, hardware and software are designed to conduct eye-tracking studies for marketing , UX , psychological and medical research , gaming , and several other use cases. The analysis of selfie camera data can provide information about the user gaze. The AOI will determine what areas you will calculate metrics for.

Mobile 114

Mobile Website Hardware Social Media 114

VoltDB

JUNE 26, 2024

Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime. AI-driven quality control systems continuously analyze data from production lines to identify variations and anomalies as soon as they emerge.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

CSS Wizardry

OCTOBER 27, 2018

Once in production, our site will likely look very different to how it did in our development environment: tag managers have kicked in, your ads are on the site, your analytics package is capturing data, and all third parties are implemented and running. Do changes in performance correlate to changes in business metrics?

Performance Testing 176

Performance Testing Testing Performance Strategy 176

KeyCDN

JANUARY 23, 2020

RUM gathers data from real life users to analyze application performance. A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. Basic server metrics. Custom metrics.

Strategy 72

Strategy Metrics Monitoring Servers 72

CSS - Tricks

JULY 25, 2019

Google wrote: Faster sites don’t just improve user experience; recent data shows that improving site speed also reduces operating costs. Lighthouse records metrics from the browser, applies a scoring model to them, and presents an overall performance score. Guidelines for improvement are suggested based on how specific metrics score.

Google 72

Google Engineering Speed Mobile 72

Scalegrid

APRIL 16, 2020

Since our BYOC plans are hosted through your own AWS or Azure account, all cloud instances, backups and data transfer costs are paid directly through your cloud provider. While this is a good way to get a rough estimate, your monthly cloud costs will indeed vary based on the amount of backups performed and your data transfer activity.

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Minimized cross-data center network traffic.

Availability 243

Availability Hardware Latency Traffic 243

HammerDB

APRIL 19, 2023

The table below shows the performance characteristics of both benchmarks captured using the System Activity Reporter (SAR) tool in Linux: sysbench HammerDB sysbench/ HammerDB CPU METRICS cpu_utilization_% 66.83 DISK METRICS sysstat_io_nvme0n1_avg_wait_ms 8.32 NETWORK METRICS sysstat_net_ens260f1_rx_kB/s 38,241 22,700 1.68

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

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 Cloud 363

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 performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

Dynatrace

JULY 24, 2024

IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications.

Availability 238

Availability Infrastructure Metrics Hardware 238

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Smashing Magazine

JANUARY 15, 2019

The key metric for measuring the sustainability of a digital product is its energy usage. This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. This is actually a trickier undertaking than you might imagine, and it’s difficult to get precise data here.

Website Performance 74

Website Performance Website Energy Performance 74

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

Brendan Gregg

AUGUST 18, 2019

bpftrace is suited for this kind of analysis: decomposing metrics into distributions or per-event logs, and creating new metrics for visibility into blind spots. hardware Hardware counter-based instrumentation. You can use bpftrace via one-liners or scripts, and it ships with many prewritten tools. pid process ID.

Latency 68

Latency C++ Cache Programming 68