Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 235

Analytics Social Media Metrics Efficiency 235

Dynatrace

NOVEMBER 3, 2023

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Dynatrace Extensions 1.0 Extensions 2.0

Technology 250

Technology Technology Scalability Availability 250

Dynatrace

JANUARY 31, 2024

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 197

Analytics Processing Transportation Storage 197

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Digital businesses rely on real-time business analytics data to make agile decisions.

Analytics 194

Analytics Strategy Storage Technology 194

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Finally, teams can coordinate more effectively using a single source of data intelligence with collaborative analytics capabilities.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

NOVEMBER 18, 2021

With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. How to get started.

Analytics 228

Analytics Cloud Java Serverless 228

Dynatrace

MAY 17, 2022

The application consists of several microservices that are available as pod-backed services. This file is automatically configured with working defaults, but it can be easily modified using a code editor such as VS Code. Information about each of these topics will be available in upcoming announcements.

Availability 322

Availability Scalability Cloud Metrics 322

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 186

Analytics Storage Retail Monitoring 186

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Now, that same full-spectrum value is available at the massive scale of the Dynatrace Grail data lakehouse.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

FEBRUARY 9, 2022

Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Many observability solutions don’t support an “as code” approach. Dynatrace enables software intelligence as code. This builds on existing functionality, including configurable dashboards and business analytics via API.

Code 222

Code Software Software DevOps 222

Dynatrace

JULY 11, 2023

Having all data in context tremendously simplifies analytics and problem detection. It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of the monitoring infrastructure.

Architecture 173

Architecture Availability Infrastructure Metrics 173

Dynatrace

FEBRUARY 9, 2021

How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics. Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 211

Analytics Mobile Performance Monitoring 211

Dynatrace

OCTOBER 28, 2019

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Digital and Business Analytics. So we turned it off.

Google 152

Google Analytics Traffic Operating System 152

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

NOVEMBER 17, 2020

Technical complexity has shifted from the actual code to the interdependencies between services. In 2006, Dynatrace released the first production-ready solution for distributed tracing with code-level insights. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes.

Analytics 159

Analytics Technology Technology Cloud 159

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. The reporting of values must happen in the source code of your mobile app via the SDK API.

Analytics 139

Analytics Mobile Airlines Monitoring 139

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more. Operations.

Software 192

Software Software Analytics Big Data 192

Dynatrace

MARCH 1, 2024

This enables you to enrich your Adobe analytics data with end-to-end traces across all tiers and to get precise, real-time user insights. Furthermore, Dynatrace turns analytics into real-time answers, enabling you to better understand how applications’ outages impact critical business metrics like conversions, revenue, and engagement.

Analytics 195

Analytics Monitoring Website Efficiency 195

Dynatrace

JUNE 18, 2019

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. Cool parts of integrating Adobe Analytics and Dynatrace.

Analytics 139

Analytics Cloud Website Monitoring 139

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics 218

Analytics Storage Infrastructure Metrics 218

Dynatrace

MARCH 6, 2024

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “That means making it available, resilient, and secure,” Grabner said. “It makes them more productive.

Engineering 245

Engineering Development DevOps Infrastructure 245

CSS Wizardry

JUNE 30, 2023

More accurately, DOMContentLoaded signifies that all blocking and defer and type=module code has finished running. before the app’s key functionality is available, with almost half waiting over 3.5s! Google Analytics Until recently , Google Analytics also surfaces DOMContentLoaded information. log ( window. performance.

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. Davis CoPilot can provide recommended actions to remediate issues.

Best Practices 237

Best Practices Analytics Metrics Code 237

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 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.

Open Source 220

Open Source Analytics Metrics Cloud 220

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 246

Metrics Analytics Google Code 246

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Data variety is a critical issue in log management and log analytics. where an error occurred at the code level.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

NOVEMBER 7, 2023

A Kubernetes-centric Internal Development Platform (IDP) enables platform engineering teams to provide self-service capabilities and features to their DevSecOps teams who need resilient, available, and secure infrastructure to build and deploy business-critical customer applications. All this can be self-defined in the source code.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. AppEngine provides a runtime environment that automatically scales the environment, ensuring the application is highly available and performing healthily.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

AUGUST 17, 2023

Auto-enrichment is also available in cases where OneAgent is unavailable or unnecessary. Either way, the Dynatrace Micrometer Registry adds proper topology without modifying your code. But the true power of Dynatrace is in the blending of metrics, traces, and logs in a single unified analytics view, as you’ll see in a moment.

Metrics 203

Metrics Analytics Speed Java 203

Dynatrace

MARCH 27, 2024

Dynatrace integration with AWS AppFabric for security The AWS AppFabric for security feature fully manages the integrations with over 25 applications so customers can get started tracking application security in just a few clicks—no coding required. Note that AWS AppFabric is available in the US East (N.

AWS 250

AWS Analytics Government Monitoring 250

Dynatrace

OCTOBER 25, 2023

VMware Aria Operations for Logs (formerly known as vRealize Log Insight) is used across enterprises to collect logs and provide analytics. Tracked as CVE-2023-34051 (CVSS score: 8.1), the Aria Operations for Logs vulnerability relates to a case of authentication bypass that could lead to remote code execution.

Analytics 272

Analytics Operating System Code Servers 272

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52