Dynatrace

APRIL 21, 2021

In February 2021, Dynatrace announced full support for Google’s Core Web Vitals metrics , which will help site owners as they start optimizing Core Web Vitals performance for SEO. On the Dynatrace Business Insights team, we have developed analytical views and an approach to help you get started. Dynatrace news. 28-day lookbacks.

Traffic 262

Traffic Metrics Mobile Analytics 262

Dynatrace

APRIL 19, 2023

Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools. The Business Insights team helps customers manage or configure their digital experience environment, extend the Dynatrace platform through data analytics, and bring human expertise into optimization.

Entertainment 155

Entertainment Analytics Healthcare Games 155

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Analytics 223

Analytics Education Innovation Engineering 223

The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Database-service views provide all the metrics you need to set up high-performance database services. See the health of your big data resources at a glance.

Azure 146

Azure Cloud Big Data Virtualization 146

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. In general, you can measure the business value of ITOps by evaluating the following: Usability. ITOps vs. AIOps.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. But AIOps also improves metrics that matter to the bottom line. What is AIOps, and how does it work? For example: Greater IT staff efficiency.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The deviating metric is response time. CloudOps: Applying AIOps to multicloud operations. This is now the starting node in the tree.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. The schema and index-dependent approach of traditional databases can’t keep pace or provide adequate analytics of these hyperscale environments.

Cloud 183

Cloud DevOps Open Source Retail 183

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

JUNE 1, 2020

Dynatrace provides out-of-the box complete observability for dynamic cloud environment, at scale and in-context, including metrics, logs, traces, entity relationships, UX and behavior in a single platform. User Experience and Business Analytics ery user journey and maximize business KPIs. Advanced Cloud Observability.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

JUNE 1, 2020

Dynatrace provides out-of-the box complete observability for dynamic cloud environment, at scale and in-context, including metrics, logs, traces, entity relationships, UX and behavior in a single platform. User Experience and Business Analytics ery user journey and maximize business KPIs. Advanced Cloud Observability.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. How to pioneer new metrics and create a culture of performance. Time is Money. High Performance Websites. Still good.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

AUGUST 22, 2011

Amazon Cloudwatch can be used to get detailed metrics about the performance of the Cache Nodes. Driving down the cost of Big-Data analytics. Scaling the total memory in the Cache Cluster is under complete control of the customers as Caching Nodes can be added and deleted on demand. No Server Required - Jekyll & Amazon S3.

Cloud 117

Cloud Cache AWS Storage 117

Highly Scalable

MARCH 10, 2015

Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data.

Retail 152

Retail C++ Analytics Metrics 152

The Netflix TechBlog

APRIL 29, 2019

We are heavy users of Jupyter Notebooks and nteract to analyze operational data and prototype visualization tools that help us detect capacity regressions. CORE The CORE team uses Python in our alerting and statistical analytical work. We build Python libraries to interact with other Netflix platform level services.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. At Netflix Studio, teams build various views of business data to provide visibility for day-to-day decision making. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

Smashing Magazine

JULY 29, 2019

This metric is a little difficult to comprehend, so here’s an example: if the average cost of broadband packages in a country is $22, and the average download speed offered by the packages is 10 Mbps, then the cost ‘per megabit per month’ would be $2.20. For reference, the metric is $1.19 Google analytics has ‘low’ priority.

Cache 96

Cache Google Mobile Network 96

The Netflix TechBlog

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. append, overwrite, etc.).

Processing 210

Processing Big Data Efficiency Engineering 210

All Things Distributed

NOVEMBER 15, 2016

The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations. QuickSight is a cloud-powered BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152