Tightening the communication within BizDevOps with Adobe Analytics & Dynatrace


For example, I’ll get asked “We are using Adobe Analytics/Omniture SiteCatalyst , would we retire this when we use Dynatrace?” The only exception to this would be if you have Adobe Analytics for the sole purpose of understanding geographically where your users are coming from.

Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform

Uber Engineering

These insights range from in-the-moment traffic conditions that provide guidance on trip routes to the Estimated Time of Delivery (ETD) of an UberEATS … The post Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform appeared first on Uber Engineering Blog. Uber facilitates seamless and more enjoyable user experiences by channeling data from a variety of real-time sources.

Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

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. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Why Telcos Need a Real-Time Analytics Strategy


Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. In the telco world, batch processing has been the de facto choice for data processing and billing, so any analytics strategy had to be based on a batch processing model. Does this affect our analytics strategy? There is no substitute for real-time analytics and action.

Observations on the Importance of Cloud-based Analytics

All Things Distributed

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it.

ScaleGrid DBaaS Expands MySQL Hosting Services Through AWS Cloud


The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics. PALO ALTO, Calif.,

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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries.

What Does APM Stand For?: A Newbie Guide


devops monitoring management analytics operations eum euem newbie what is apmDefining APM. Today's blog post is headed back to the basics.

Components of Effective Software Monitoring: App Logs, Infrastructure Telemetry, Health-Check Reports


App-specific metrics are complemented by other analytics to give a broader picture of system state and performance. software development log management monitoring and performance grafana health checks monitoring and alerting application log analytics graylog telemetry

Challenges Testers Face for Testing SMAC


There is a lot of discussion going currently about SMAC – Social, Mobile, Analytics and the Cloud. It also requires some prediction based on the analytics of real product usage. cloud performance analytics mobile testing testers cloud testingAn Intro to SMAC. SMAC is a new platform with a lot of growth expected in the years to come. Software testing is not only about testing individual parts of the application but also testing the integrated product associated with it.

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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. All Things Distributed.

Data Mining Problems in Retail

Highly Scalable

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way.

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In-Stream Big Data Processing

Highly Scalable

It is great that the existing technologies like Hive, Storm, and Impala enable us to crunch Big Data using both batch processing for complex analytics and machine learning, and real-time query processing for online analytics, and in-stream processing for continuous querying.

Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

In this application, it may make sense to migrate the low-level twin to the edge for better responsiveness and uninterrupted operations, while keeping the high-level, “strategic” twin in the cloud where computing resources are available to execute its predictive analytics algorithm.

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2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence


Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Or, considering adding a new database to your application and want to see which combinations are most popular?

Give Meaning to 100 Billion Events a Day — The Shift to Redshift

High Scalability

In part one , we described our Analytics data ingestion pipeline, with BigQuery sitting as our data warehouse. However, having our analytics events in BigQuery is not enough. Most importantly, data needs to be served to our end-users. TL;DR?—?Teads —?Teads

Dareboost at Etam: when Web Performance meets a strong culture of innovation


Leslie] My Name is Leslie-Anne Buffignani, … Continue reading Dareboost at Etam: when Web Performance meets a strong culture of innovation → Performance analyticsWe often assist our clients in their web performance optimization projects.

Scaling Uber’s Apache Hadoop Distributed File System for Growth

Uber Engineering

Architecture Apache Hadoop Big Data Big Data Analysis Garbage Collection Hadoop Hadoop Distributed File System Hadoop Infra & Analytics Team HBase HDFS HDFS Federation HIVE Hoodie Infrastructure JAR Jenkins NameNode PRC Puppet Router-based Federation Uber Uber Data Foundation Team Uber Engineering View File System WebHDFS YARNThree years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Should You Use ClickHouse as a Main Operational Database?


What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries. The most important limitations of the analytical databases are: Deletes and updates are non-existent or slow.

Vue Dashboard Tutorial Using Cube.js


We recently covered how to build an analytics dashboard with React and Angular. What both of these guides share is Cube.js — an open-source analytics framework, which powers these dashboards with high-performance data. In this tutorial, I'll touch on some details and provide a step-by-step guide on building your own analytics dashboard with Vue. There are a couple of popular front-end frameworks today.

Discover frustrating user experiences with automatic rage click detection


Usability analytics with rage clicks will be publicly available towards the end of June, 2019. These analytics capabilities can be used with or without enabling Session Replay. Dynatrace news.

Enrich real user session analysis with business and domain data by leveraging session properties


User session properties can greatly improve your analytics capabilities when using the Dynatrace User Session Query Language (USQL) for analytics that require advanced filtering, such as multiple filters (see the image below) or persistent filtering across analysis views.

Design Of A Modern Cache—Part Deux

High Scalability

This structure works surprisingly well for many important workloads like database, search, and analytics. This is a guest post by Benjamin Manes , who did engineery things for Google and is now doing engineery things as CTO of Vector.

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Advancing Application Performance with NVMe Storage, Part 3


Financial Analytics – Financial services and financial technology (FinTech) are increasingly turning to automation and artificial intelligence to fuel their decision making processes for investments. NVMe Storage Use Cases.

Python at Netflix

The Netflix TechBlog

CORE The CORE team uses Python in our alerting and statistical analytical work. We’ve developed a time series correlation system used both inside and outside the team as well as a distributed worker system to parallelize large amounts of analytical work to deliver results quickly.

Stuff The Internet Says On Scalability For February 8th, 2019

High Scalability

According to 451 Research’s Voice of the Enterprise: Data & Analytics, 28% of businesses run analytics on their employee behavior data, roughly the same number that analyze IT infrastructure data. Wake up! It's HighScalability time: Change is always changing.

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

In the People space, our data teams contribute to consolidated systems of record on employees, contractors, partners and talent data to help central teams manage headcount planning, reduce acquisition cost, improve hiring practices, and other people analytics related use-cases.

PerformanceObserver and Paint Timing API

José M. Pérez

length ; i ++ ) {. // Process entries. // report back for analytics and monitoring. //. }. } ) ; // register observer for long task notifications.

Stuff The Internet Says On Scalability For November 23rd, 2018

High Scalability

Waqas Dhillon : The goal of in-database machine learning is to bring popular machine learning algorithms and advanced analytical functions directly to the data, where it most commonly resides – either in a data warehouse or a data lake. Wake up!

Unleash the power of the Dynatrace Markdown Dashboard Tile


If you want to get up to speed, check out my recent Performance Clinics: “ AI-Powered Dashboarding ” and “ Advanced Business Dashboarding and Analytics ”. Dynatrace news. Dynatrace Dashboards are constantly updated with new capabilities.

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Why Page Speed Scores can be Dangerous


If you use analytics software from a third party, like Google Analytics, these will show up as marks on PageSpeed Insights. Yes, Google is marking us down for using their own analytics tools.

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Fostering a Web Performance Culture

José M. Pérez

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye.

The Three Types of Performance Testing

CSS Wizardry

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.

Advancing Application Performance with NVMe Storage, Part 1


Financial analysis with real-time analytics is used for predicting investments and drives the FinTech industry's needs for high-performance computing.

The Future in Visual Computing: Research Challenges

ACM Sigarch

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. In a traditional visual analytics pipeline, we compress the data by exploiting the redundancies in time and space. For example, compression schemes may evolve to be analytics aware.

CSS and Network Performance

CSS Wizardry

In fact, Google Analytics even tell us what to do, and they’re right: Copy and paste this code as the first item into the of every webpage you want to track.

Get automated full-stack visibility into containerd-based Kubernetes environments


The real-time dependency model of your whole environment drives the core of Davis—the Dynatrace full-stack root-cause analytics engine. Dynatrace news. Docker, Inc. contributed the containerd container runtime to the Cloud Native Computing Foundation (CNCF) in 2017.

Troubleshooting Knative Prometheus GC Issues with Dynatrace


Dynatrace log analytics gives us access to the logs in the context of the current problem. Dynatrace news. In my current work, I spend a lot of time with keptn – an Open Source Control Plane for Continuous Deployment and Automated Operations.

Evolution of Netflix Conductor:

The Netflix TechBlog

and beyond By Anoop Panicker and Kishore Banala Conductor is a workflow orchestration engine developed and open-sourced by Netflix. If you’re new to Conductor, this earlier blogpost and the documentation should help you get started and acclimatized to Conductor.

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The 10 Must-Track Web Performance Metrics


Web analytics such as click-through rates, bounce rates, website business transactions and sales, response times, web server usage, social media interaction, and many other key performance indicators will help ensure your site is optimal.

Fine-grained event filters within alerting profiles


Custom event types include events that originate from plugins, APIs, or Log Analytics. Dynatrace news. Alerting profiles are a great way of filtering all Dynatrace detected problems based on their severity levels or problem duration before alerts are triggered.

Automated full-stack monitoring and distributed tracing for Red Hat OpenShift 4.0


Universal container-level metrics for resource contention analytics. Dynatrace news. Red Hat just announced the availability of their OpenShift 4.0 container platform at the Red Hat Summit in Boston.

Custom metrics for services enrich Dynatrace AI and dashboarding capabilities (EAP)


Do you provide dashboards and analytics that combine technical and business metrics that are specific to your business? Once released, these metrics will be treated just like custom metrics (available through purchase of a Data ingest & Analytics package ). Dynatrace news.