Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. Curious about using Dynatrace analytics and automation capabilities for your custom use cases?

AWS 220

AWS Analytics Cloud Monitoring 220

DZone

OCTOBER 11, 2022

Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Hacker News).

Java 244

Java Best Practices Google Analytics 244

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? What is predictive AI? What is AIOps?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Official Blog - World Web Technology

DECEMBER 1, 2023

You can maintain a competitive edge and produce aesthetically pleasing websites in the dynamic field of web design solutions. You can create a website that is visually attractive and easy to use with the best web design solutions and tools. Web Design Solutions Made Easy! Top 9 Software for a Website Designing Company in India!

Design 59

Design Software Software Website 59

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

Dynatrace

NOVEMBER 3, 2023

are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Extensions 2.0

Technology 246

Technology Technology Scalability Availability 246

KeyCDN

OCTOBER 2, 2018

Reading and following the right web development blogs makes it much easier to get a solid education. That’s why in this post, we’ve compiled a list of the top web development blogs that will help you find your footing and acquire essential skills in modern web dev. Visit website 3. Visit website 5. Visit website 9.

Development 75

Development Website Design Code 75

Dynatrace

AUGUST 2, 2021

But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. Often referred to as calculated metrics (see Adobe Analytics and Google Analytics ), such metric processing takes one or more existing metrics as input to create a new user-defined metric. Dynatrace news.

Metrics 245

Metrics Analytics Google Code 245

DZone

APRIL 26, 2022

This is a republish of a blog on VentureBeat by Wei Li, Intel VP/GM, AI and Analytics (AIA). The exponential growth of data has fed artificial intelligence’s voracious appetite and led to its transformation from niche to omnipresent.

Software 130

Software Software Performance Hardware 130

Dynatrace

JANUARY 23, 2024

Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs. Platform engineering: Empowering key Kubernetes use cases with Dynatrace – blog Digital transformation continues surging forward.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. It is critical for fast-paced product innovation at Netflix since CL provides foundational data for personalization, A/B experimentation, and performance analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

JUNE 1, 2021

One single payment provider issue can undo HUNDREDS of hours spent optimizing the critical user journeys of your mobile or web applications, designed to encourage users to progress through the funnel and complete a purchase. The post How to ensure payment gateway problems don’t become business problems appeared first on Dynatrace blog.

Analytics 183

Analytics Servers Mobile Website 183

Smashing Magazine

AUGUST 17, 2018

Designing For Micro-Moments. Designing For Micro-Moments. A couple of years ago, Google announced a new mobile-first initiative it wanted web designers and marketers to pick up on. In Myriam Jessier’s " Things Designers Should Know About SEO In 2018 ", she sums up Google’s four micro-moments: “I want to know.”. “I

Design 62

Design Google Website Small Business 62

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns).

Media 237

Media Traffic Processing Design 237

Dynatrace

NOVEMBER 22, 2021

EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. Here are a few of the most popular. Amazon EC2. Amazon Fargate. Watch demo now!

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

SEPTEMBER 30, 2021

The list of AWS certifications below shows there are two main AWS certification types: Core and Specialty, six classified as Core AWS Certifications, and five designated as Specialty AWS Certifications. Data analytics. The post Carving an AWS certification path appeared first on Dynatrace blog. Core AWS certifications.

AWS 209

AWS Best Practices Analytics Cloud 209

Dynatrace

AUGUST 24, 2020

Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Digital Business Analytics: Accelerate your dashboard journey . The post Mastering Kubernetes with Dynatrace appeared first on Dynatrace blog. Conclusion.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 250

Artificial Intelligence Serverless Analytics Innovation 250

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. We will cover more details on Semantic Search support in a future blog article. Data ingestions from the ML data pipelines are generally in bulk specifically when a new algorithm is designed and annotations are generated for the full catalog.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

APRIL 8, 2021

Most organizations have a grab bag of monitoring tools, each designed for a specific use case. App developers and digital teams typically rely on separate analytics tools, such as Adobe and Google Analytics, that may aggregate user behavior and try to understand anomalies in traffic. Dynatrace supports GDPR compliance by design.

Mobile 169

Mobile Monitoring Analytics Google 169

Dynatrace

DECEMBER 9, 2021

Many application security products were designed before the rise of DevSecOps, containers, Kubernetes, and multicloud environments and so can’t keep up with rapid changes in these environments. The post Dynatrace introduces automatic vulnerability management for PHP appeared first on Dynatrace blog. New to Dynatrace?

Social Media 186

Social Media Open Source Media Cloud 186

All Things Distributed

AUGUST 18, 2011

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. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. Stay tuned. Seeing is believing.

Open Source 255

Open Source Metrics Analytics Tuning 255

Dynatrace

SEPTEMBER 22, 2021

Organizations often start their APM journey by implementing APM tools which are typically designed to look at one specific aspect of application performance. If it delivers contextual insights powered by AI analytics and automation, organizations can gain even greater insight into application performance issues.

Innovation 204

Innovation Open Source Monitoring Infrastructure 204

The Morning Paper

JUNE 6, 2019

Towards federated learning at scale: system design Bonawitz et al., There’s a good high-level overview of federated learning on Google’s AI blog. We designed the FL system to elastically scale with the number and sizes of the FL populations, potentially up into the billions. SysML 2019. Federated Averaging.

Systems 71

Systems Design Google Servers 71

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. T he Dynatrace Software Intelligence Platform includes multiple modules, underpinned by a common data model.

DevOps 243

DevOps Innovation Monitoring Analytics 243

Dynatrace

OCTOBER 25, 2022

Mike Gualtieri of Forrester Research, who coined the term NoOps , once said in his blog post, “NoOps means that application developers will never have to speak with an operations professional again.”. NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team.

DevOps 217

DevOps Big Data Cloud Innovation 217

Dynatrace

APRIL 26, 2022

A modern DEM solution provides analytics for key application performance indicators across web, mobile, and IoT channels, providing a detailed overview of user behavior. The post How digital experience monitoring helps deliver business observability appeared first on Dynatrace blog.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

APRIL 6, 2022

AWS manages the infrastructure of your Lambda functions however you still need to ensure that your implementations are designed to get the most out of your investment. Simplify error analytics. The post Dynatrace named a launch partner of AWS Lambda Function URLs appeared first on Dynatrace blog. Optimize timing hotspots.

Lambda 166

Lambda AWS Serverless Infrastructure 166

Dynatrace

NOVEMBER 24, 2021

This eliminates the need for creating ad hoc dashboards and figuring out which metrics to apply—it’s a one-stop shop for performance analytics and enabling an end-to-end visibility into the health state and performance of complex enterprise network infrastructures. Monitor Cisco and any other devices.

Network 210

Network Infrastructure Virtualization Metrics 210

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 244

Cloud Serverless Innovation Architecture 244

Dynatrace

SEPTEMBER 7, 2022

Check out our Power Demo: Log Analytics with Dynatrace. Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Learn more about VPC Flow Logs.

Traffic 215

Traffic AWS Network Cloud 215

Dynatrace

JUNE 15, 2021

The path to “Architected for Resiliency” is long, but it clearly pays off in the long run, especially when outages occur, as I want to show you in this blog post. Besides real user analytics, we also use Dynatrace Synthetic Monitoring , which continuously validates successful logins to our SaaS tenants on each cluster.

AWS 189

AWS Traffic Architecture Azure 189

Dynatrace

JANUARY 19, 2022

Observability vs. monitoring: What’s the difference? – Blog. Modern approaches to observability and monitoring for multicloud environments – Blog. And why it needs a new approach – Blog. Vulnerability assessment: Protecting applications and infrastructure – Blog. What is application security?

Artificial Intelligence 179

Artificial Intelligence DevOps Performance Games 179