Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 172

Metrics Engineering Energy Tuning 172

The Netflix TechBlog

NOVEMBER 9, 2021

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

JULY 18, 2023

While infrastructure has historically been treated as a bottleneck where proper scaling and compute power are applied to improve performance, these aspects are now typically addressed by hyperscalers that offer cloud-based infrastructure and infrastructure as a service. You can read all about it in our Configuration as Code documentation.

Best Practices 183

Best Practices Code Infrastructure Latency 183

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 218

Engineering Entertainment Cloud Infrastructure 218

Dynatrace

OCTOBER 25, 2022

With the increasing complexity of cloud-native environments, the number of observed signals grows, as does the effort required for humans to find and analyze these signals. Just one click to your preventive analysis. With Davis exploratory analysis we can now automatically analyze thousands of signals before incidences even arise.

Efficiency 229

Efficiency Best Practices DevOps Open Source 229

Dynatrace

SEPTEMBER 28, 2021

Deployment frequency measures both long-term and short-term efficiency. For example, by measuring deployment frequency daily or weekly, you can determine how efficiently your team is responding to process changes. This metric gauges the stability and efficiency of your DevOps processes.

DevOps 193

DevOps Metrics Traffic Efficiency 193

Dynatrace

JUNE 8, 2021

You’ll learn how to create production SLOs, to continuously improve the performance of services, and I’ll guide you on how to become a champion of your sport by: Creating calculated metrics with the help of multidimensional analysis. The Multi-Dimensional analysis will allow you to extract all types of metrics to detect this.

Metrics 162

Metrics Tuning Programming Systems 162

Dynatrace

JULY 21, 2020

The Dynatrace Software Intelligence Platform supports you on your way to the enterprise cloud with deep insights into containerized, scalable microservices on cutting-edge technologies like Red Hat OpenShift or Kubernetes. These capabilities allow you to build efficient and robust business services on the mainframe. Stay tuned!

Java 175

Java Government Database Programming 175

Scalegrid

JUNE 22, 2020

DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? MySQL Configuration Management & Tuning. Throughput.

Database 217

Database Benchmarking Latency Performance 217

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). One of the key advantages of DEM is its versatility.

Monitoring 196

Monitoring Social Media IoT Metrics 196

Dynatrace

MAY 6, 2019

And while those enterprises are moving applications to modern cloud stacks for agility and competitive advantage, these applications often still depend on critical transactions and ‘crown jewels’ customer data residing on IBM Z mainframes. In-depth analysis at the source-code level. Dynatrace news. See it all, in context.

Java 116

Java Programming Technology Technology 116

Dynatrace

MAY 5, 2021

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” For example, improving latency by as little as 0.1

Benchmarking 177

Benchmarking Latency Speed Software 177

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Efficiency 259

Efficiency Architecture Energy Monitoring 259

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. But they struggle to store unstructured data.

Analytics 181

Analytics Infrastructure Storage Efficiency 181

Dynatrace

JUNE 2, 2020

Autonomous Cloud Programmability. More cost-efficiency through the incorporation of consumption and usage data. Impact analysis of problems from multiple business perspectives. Please stay tuned for more details. Dynatrace news. Integration with a CMDB like ServiceNow. Share your feedback with us at Dynatrace answers.

Metrics 185

Metrics Scalability Tuning Monitoring 185

Dynatrace

FEBRUARY 10, 2021

Lots of data intended to help and aid, but instead results in too much noise and unnecessary alerts due to the lack of intelligent root-cause analysis and transparency. Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. To cut through the noise of observability on such a scale, AI is a prerequisite.

Cloud 162

Cloud DevOps Speed Azure 162

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. It is worth pointing out that cloud processing is always subject to variable network conditions.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

DECEMBER 8, 2020

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.

Cloud 284

Cloud Open Source Internet Internet 284

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. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 295

Open Source Traffic DevOps Cloud 295

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

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. With its massively parallel architecture, Grail can ingest and process high cardinality data at the scale of modern cloud architectures without losing fidelity.

Analytics 179

Analytics Innovation Metrics Database 179

Dynatrace

AUGUST 1, 2022

Dynatrace’s PVCs extension enables you to make efficient use of your resources. Looking at the cloud-native landscape part for Kubernetes storage solutions , we see that most of these solutions natively expose relevant metrics in Prometheus format. Stay tuned. What about my persistent volume provider? Coming Soon.

Storage 181

Storage Database Network Metrics 181

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. The cloud-based service sends massive numbers of requests per second to simulate how your website holds up. What is Performance Testing? Consider optimizing before investing.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle.

Metrics 150

Metrics Open Source Tuning Analytics 150

Dynatrace

MAY 27, 2021

In this article, I take a deeper look into continuous delivery (CD), and describe how this phase of the process is the key to achieving greater efficiency in your software development life cycle. As automation improves quality and efficiency, the simplest result — and perhaps the most noticeable — is getting features to users faster.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

FEBRUARY 9, 2021

You don’t even have to know which technologies are running to get information beyond observability plus automatic anomaly detection and root cause analysis. Easily leverage Dynatrace for cloud platforms, open data frameworks, and other natively supported technologies. Install it and forget it—Dynatrace takes care of everything.

Software 142

Software Software Technology Technology 142

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Dynatrace is the leading Software Intelligence Platform, focused on web-scale cloud monitoring, delivering the richest, most complete data sets in the Application Performance Management market. Showing a list of key processes.

Government 219

Government DevOps Infrastructure Network 219

The Netflix TechBlog

JANUARY 10, 2024

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. Footnotes Formerly known as Media Cloud Engineering/MCE team.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

Percona

OCTOBER 18, 2023

Database setup To start your migration, you’ll need to install the new open source database software on your server or a cloud platform. This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s).

Open Source 89

Open Source Database Hardware Strategy 89

Dynatrace

JANUARY 19, 2021

across hybrid and multi-cloud environments?. Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. While adjusting to dynamic cloud-native environments, teams can determine?the AI-powered answers, provided by? customers,?we’ve

Lambda 202

Lambda Serverless AWS Mobile 202

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

Percona

AUGUST 27, 2018

Dangerous , because if you set this to a thread when using connection pooling OR ProxySQL and multiplexing, you may end up assigning a limitation to queries that instead, you wanted to run efficiently. Then we need to see IF implementing the tuning will work or not. Another cool useless feature??? ” Good question!

Tuning 44

Tuning Virtualization Testing Servers 44

Adrian Cockcroft

NOVEMBER 13, 2023

This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. I’ve written before about how to tune out retry storms. For an example of an unintended consequence, let’s say the result of your optimization project is spare capacity at a cloud provider.

Energy 52

Energy Cloud Traffic Transportation 52

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” And just as we started to complain that the crypto miners were snapping up all of the affordable GPU cards, cloud providers stepped up to offer access on-demand. And, often, to giving up.

Hardware 101

Hardware Storage Big Data Blockchain 101