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 181

Analytics Storage Retail Monitoring 181

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

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 186

Analytics Innovation Metrics Database 186

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. What Does It Actually Mean?

Metrics 326

Metrics Google Monitoring Analytics 326

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 186

Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Power business analytics with Dynatrace Banks that can deploy vertically integrated risk management solutions will deliver unprecedented agility, precision, and control for risk management functions. Automated issue resolution.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

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 206

Artificial Intelligence DevOps Analytics Strategy 206

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.” Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

Engineering 241

Engineering Development DevOps Infrastructure 241

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 221

Analytics Storage Infrastructure Metrics 221

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

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. Next, we’ll create a workflow triggered whenever such a metric event is generated.

Metrics 198

Metrics Analytics Speed Java 198

Dynatrace

AUGUST 28, 2023

While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. Business data must be easy to access without modifying code to reduce the burden on development and maintenance resources.

Retail 202

Retail Logistics Innovation Analytics 202

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. Check out the guide from last year’s event. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. What is a data lakehouse? Learn more.

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. This includes out-of-the-box health alerts, health indicators, identification of problematic workload and node conditions, and warning events for various Kubernetes components.

Engineering 273

Engineering DevOps Best Practices Infrastructure 273

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 209

Best Practices Benchmarking Speed Infrastructure 209

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

Dynatrace

JANUARY 23, 2024

Check back here throughout the event for the latest news, insights, and announcements. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Enter causal AI.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

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 265

Serverless Infrastructure Innovation DevOps 265

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. As security teams seek to understand malicious events, the importance of unified observability in context compounds.

DevOps 185

DevOps Analytics Best Practices Java 185

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 182

Engineering Development Infrastructure Cloud 182

Dynatrace

MAY 27, 2022

At Dynatrace Perform 2022 , David Walker, a Lockheed Martin Fellow, and William Swofford, a full-stack engineer at Lockheed Martin, discuss how to create a self-diagnosing and self-healing IT server environment using this AIOps combination for auto-baselining, auto-remediation, monitoring as code, and more. An example of the self-healing web.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. Learn more about managing application vulnerabilities in cloud-native environments from the following resources.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

DECEMBER 20, 2021

Think of a session replay like a movie based on real events. What users see in their browser window and the underlying HTML code are both governed by the DOM, which creates a tree-like structure for all HTML elements. Combined with in-depth capture of all events that take place, teams can spot common user pain points.

Mobile 246

Mobile Website Analytics Cache 246

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Simplify error analytics.

Serverless 236

Serverless Azure Monitoring Lambda 236

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 233

Java Traffic Strategy Architecture 233

Dynatrace

SEPTEMBER 12, 2022

This placement recognizes Dynatrace’s focus on customers and pushing the art of what’s possible in AI and automation as it’s applied to observability, security, and business analytics. The deterministic, causation-based AI engine, Davis , continuously analyzes dependencies, anomalies, and event sequences. What is trending in AIOps?

Strategy 130

Strategy DevOps Analytics Cloud 130

Smashing Magazine

FEBRUARY 2, 2022

Improving JavaScript Bundle Performance With Code-Splitting. Improving JavaScript Bundle Performance With Code-Splitting. It’s a common misconception that the code which is produced by the framework build tools (Webpack, for example) is fully optimized and cannot be improved upon any further. The answer lies in code-splitting.

Code 89

Code Performance Network Website 89

Speed Curve

FEBRUARY 25, 2024

Individual pages can be spot checked via the CrUX API or tools such as Page Speed Insights But as Cliff's already covered in How to find (and fix!) Even though I only clicked on the page once, multiple event handlers were invoked. A pointerdown event handler within the site's own code executes.

Analytics 92

Analytics Processing Google Mobile 92

Dynatrace

OCTOBER 17, 2022

While the benefits of AIOps are plentiful — including increased automation, improved event prioritization and incident response, and accelerated digital transformation — applying AIOps use cases to an organization’s real-world operations issues can be challenging. CloudOps includes processes such as incident management and event management.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Using an interactive no/low code editor, you can create workflows or configure them as code.

AWS 246

AWS Efficiency Azure Cloud 246

Smashing Magazine

OCTOBER 24, 2023

You know, have a plan for it and write code that’s mindful about adding extra weight to the page. But not everything about performance happens directly at the code level, right? I’d say many — if not most — sites and apps rely on some number of third-party scripts where we might not have any influence over the code.

Google 90

Google Analytics Traffic Metrics 90

Dynatrace

NOVEMBER 22, 2021

In this section, we explore how cloud observability tools differ from traditional monitoring: cloud-native observability platforms identify the root causes of anomalous events and provide automated incident response. Dynatrace extends contextual analytics and AIOps for open observability. AIOps tools can help you streamline operations.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JUNE 20, 2023

These frameworks are based on declarative syntax, which allows developers to build native UI for Android and iOS, respectively, with ease and speed. The Dynatrace SwiftUI instrumentor adds additional code to the project source code (*.swift After the build process is complete, all changes to the source code are reverted.

Mobile 263

Mobile Monitoring Entertainment Innovation 263

Dynatrace

MAY 15, 2020

Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. Today, security teams often employ SIEMs for log analytics.

Government 225

Government DevOps Infrastructure Network 225

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. What is AIOps?

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212