Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 246

Analytics Metrics Media Monitoring 246

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 246

Analytics Storage Retail DevOps 246

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.

Analytics 246

Analytics Metrics Database Storage 246

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 245

Analytics Storage Retail DevOps 245

Dynatrace

FEBRUARY 9, 2021

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. 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.

Analytics 276

Analytics Mobile Performance Monitoring 276

Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?

Mobile 245

Mobile Analytics Monitoring Best Practices 245

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 246

Analytics Innovation Metrics Database 246

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. Using Davis, the AI Engine.

Google 202

Google Analytics Traffic Operating System 202

Dynatrace

MARCH 5, 2025

Dont worry; with the power of the DQL commands like concat you can easily address this for your users with a single line of code. Simplified collaboration Individual users and teams can share segments to ensure consistent filtering logic across apps, dashboards, or even business analytics use cases.

AWS 217

AWS Azure Best Practices Efficiency 217

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 246

Code Software Software DevOps 246

Dynatrace

OCTOBER 12, 2023

This tool lets you quickly extract typed fields from unstructured text (such as log entries) using the Dynatrace Pattern Language (DPL), enabling you to extract timestamps, determine status codes, identify IP addresses, or work with real JSON objects. This allows you to answer even the most complex questions with ultimate precision.

Speed 235

Speed AWS C++ Availability 235

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 306

Efficiency Performance Analytics DevOps 306

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 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

OCTOBER 4, 2024

Similar to the observability desired for a request being processed by your digital services, it’s necessary to comprehend the metrics, traces, logs, and events associated with a code change from development through to production. Code : The branch for the new feature in a GitHub repository is merged into the main branch.

Software 278

Software Software Development Performance 278

Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. What is a data lakehouse?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 312

Serverless Infrastructure Innovation DevOps 312

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 246

Software Software Analytics Big Data 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 264

Analytics Storage Infrastructure Metrics 264

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. log ( window. performance.

Metrics 337

Metrics Google Code Monitoring 337

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

JULY 2, 2024

Log collection platforms, such as Fluent Bit, give organizations a much-needed solution for quickly gathering and processing log data to make it available in different backends for further analytics. Speed up your troubleshooting processes Log analysis is typically the first step in the troubleshooting process.

Open Source 264

Open Source Analytics Cloud Innovation 264

Dynatrace

DECEMBER 12, 2023

For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%).

Artificial Intelligence 276

Artificial Intelligence DevOps Analytics Strategy 276

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 306

Analytics Code Operating System Servers 306

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. Monitoring-as-code can also be configured in GitOps fashion. Dynatrace committed to monitoring-as-code and an API-first approach years ago. Automation, automation, automation.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Grail drives insights and decisions that preserve earnings and strengthen balance sheets. Automated issue resolution.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

Dynatrace

APRIL 9, 2020

One of the major pharmacy chains in Mexico started focusing on real-time end-user analytics captured by Dynatrace to determine where and which products were the most purchased. With this real-time information, they can speed up product inventory replenishment schedules and move merchandise to where it is most needed. SERVICE PROVIDER.

Retail 255

Retail Government Infrastructure Mobile 255

Dynatrace

APRIL 6, 2022

Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Improve business decisions with precision analytics.

DevOps 303

DevOps Innovation Infrastructure Cloud 303

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. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 246

Artificial Intelligence Analytics Efficiency Database 246

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. Dynatrace news. Always-on profiling in transaction context. The app is powered by Kubernetes. public Tracer initTracer() {.

Java 264

Java Traffic Architecture Strategy 264

Dynatrace

AUGUST 17, 2023

We also use Micrometer to analyze ingest queue processing speed, which helps us make decisions about adding resources. Either way, the Dynatrace Micrometer Registry adds proper topology without modifying your code. Auto-enrichment is also available in cases where OneAgent is unavailable or unnecessary.

Metrics 246

Metrics Analytics Speed Java 246

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.

Innovation 306

Innovation Software Software Artificial Intelligence 306

Dynatrace

OCTOBER 19, 2023

Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. Download the free 2023 CISO Report.

Best Practices 264

Best Practices Speed Benchmarking Infrastructure 264

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. In vulnerability management , AI algorithms can quickly identify vulnerabilities such as remote code execution (RCE) or cross-site scripting (XSS) attacks.

Analytics 245

Analytics Government DevOps Efficiency 245

Dynatrace

MAY 7, 2019

Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. Universal container-level metrics for resource contention analytics. It enables enterprises to more quickly develop, deploy and scale cloud native applications by delivering a smarter Kubernetes platform.

Monitoring 262

Monitoring Architecture Metrics Analytics 262

Dynatrace

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. From here you can use Dynatrace analytics capabilities to understand the response time, or failures, or jump to individual PurePaths.

Lambda 345

Lambda AWS Programming Serverless 345

Dynatrace

OCTOBER 3, 2024

This empowers application teams to gain fast and relevant insights effortlessly, as Dynatrace provides logs in context, with all essential details and unique insights at speed. While the lifecycle starts with a ticket specifying a new product idea, an actual code change often triggers various automated tasks kicking off the next phase.

Performance 290

Performance Architecture Innovation Latency 290