DZone

DECEMBER 3, 2019

Telegraf is an agent that runs on your operating system of choice, schedules gathering metrics and events from various sources and then sends them to one or more sinks, such as InfluxDB or Kafka. as well as InfluxDB Cloud are supported. It can also retrieve information about hardware and software from the OS.

Hardware 147

Hardware Operating System Metrics Cloud 147

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 213

Latency Traffic Transportation Cloud 213

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. Business Insights with Tasktop Viz and Flow Metrics. “If Cross-Organizational Visibility .

Speed 52

Speed Metrics Transportation Hardware 52

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

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 Efficiency Software Engineering 246

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

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. Today, much of world’s applications are in the cloud, and moving to Kubernetes. Dynatrace news.

Google 192

Google Engineering Metrics Hardware 192

The Netflix TechBlog

NOVEMBER 9, 2022

Exposing a more comprehensive set of PMCs along with PEBS across all instance types and sizes in the cloud environment would pave the way for deeper performance analysis and potentially even larger performance gains.

Hardware 363

Hardware Cache Performance Latency 363

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 54

Performance Benchmarking Cache Storage 54

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. The primary challenge being not able to access the underlying infrastructure metrics.

Serverless 57

Serverless Monitoring Lambda Latency 57

KeyCDN

JANUARY 23, 2020

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. RUM gathers metrics from passive users while real user testing monitors testers who are actively looking for problems and vulnerabilities.

Strategy 72

Strategy Metrics Monitoring Servers 72

Dynatrace

SEPTEMBER 29, 2020

At Dynatrace we host most of our Dynatrace SaaS clusters for paying customers as well as trial users in the Amazon Web Services (AWS) cloud. The Autonomous Cloud Enablement (ACE) Team at Dynatrace has an important role to play in that offering. Modern hybrid-multicloud monitoring needs more than just metrics.

Infrastructure 177

Infrastructure Cloud Monitoring AWS 177

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

DECEMBER 8, 2021

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 220

Cloud Serverless Hardware Operating System 220

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 176

Infrastructure Cloud Azure AWS 176

High Scalability

FEBRUARY 22, 2019

Know anyone who needs cloud? I wrote Explain the Cloud Like I'm 10 just for them. 2% : of sales spent by consumer packaged goods companies on R&D (14% for tech); 272 million : metric tons of plastic are produced each year around the globe; 100+ fp s: Google's Edge TPU; 6,000 : bugs per million lines of code; 2.2

Internet 39

Internet Internet Scalability Lambda 39

Rigor

MARCH 20, 2018

Instead of focusing on hardware and infrastructure first, technical teams should first ensure that they first have visibility on the thing that drives the business: their customer experience. The Rise of Cloud Computing. Cloud services also enable the business to focus on its core competencies. Source: The Enterprise Cloud Blog.

Monitoring 40

Monitoring Retail Ecommerce Infrastructure 40

Tasktop

APRIL 8, 2021

To illustrate the point, consider this one-on-one conversation that I had with the global CIO of a large financial services company a couple of years ago: CIO: “We have stepped up our Agile transformation efforts to get to 100% Agile by the end of year, and have a large DevOps and cloud transformation happening as well.”.

Innovation 52

Innovation DevOps Analytics Scalability 52

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 225

Architecture Artificial Intelligence Cloud Open Source 225

HammerDB

OCTOBER 23, 2023

Use the performance metrics available in the database first before looking at data further down in the stack. If we were running over a network using the network card we would also see an increase in hardware interrupts). Copy Code Copied Use a different Browser # iperf -c 127.0.0.1 Client connecting to 127.0.0.1,

Benchmarking 62

Benchmarking Database Network C++ 62

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

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 241

Serverless Efficiency Lambda Azure 241

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. Docker Engine is built on top containerd , the leading open-source container runtime, a project of the Cloud Native Computing Foundation (DNCF). Dynatrace news.

Open Source 295

Open Source Traffic DevOps Cloud 295

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 182

Analytics Artificial Intelligence Big Data Open Source 182

Dotcom-Montior

NOVEMBER 27, 2018

LoadView, our on-demand, cloud-based load and stress testing platform , takes an outside-in approach to performance testing. Design your test without the hassle of managing hardware, giving you the ability to identify objectives and define a scenario by setting up a number of users and test duration.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 86

Database Hardware Open Source Strategy 86

Dynatrace

JULY 11, 2023

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Captures metrics, traces, logs, and other telemetry data in context. Scalability and cloud-native support: Dynatrace is designed to scale effortlessly in dynamic Kubernetes environments.

Architecture 165

Architecture Availability Infrastructure Metrics 165

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 244

Development Serverless Best Practices Lambda 244

Dynatrace

SEPTEMBER 15, 2020

As an Amazon Web Services (AWS) Advanced Technology Partner, Dynatrace easily integrates with AWS to help you stay on top of the dynamics of your enterprise cloud environment?. There are two important use cases for AWS Outposts: As a step in your AWS cloud migration journey, or. What is AWS Outposts?

AWS 195

AWS Design Cloud Storage 195

Dynatrace

APRIL 21, 2023

The agencies resisted adopting the tool because it required significant time to configure and tune collected metrics into valuable information. The obvious costs of tool sprawl can quickly add up, including licensing, support, maintenance, training, hardware, and often additional headcount. Register to listen to the webinar.

Government 157

Government Infrastructure Innovation Monitoring 157

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

MAY 1, 2020

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. We understand the dependencies between the mainframe, data center, and cloud, including all application components and even end-user experience.

Java 132

Java Hardware Tuning Metrics 132

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Dynatrace

DECEMBER 16, 2021

In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives? Whether its our Metrics Ingest API or building a Dynatrace Extension. For our SLO the only thing we need is the default Mobile Crash Rate metric. In Dynatrace that’s easy: App Adoption Rate. App Rating.

DevOps 197

DevOps Social Media Mobile Metrics 197

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

NOVEMBER 22, 2022

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services.

Infrastructure 177

Infrastructure Availability Systems Retail 177