Dynatrace

FEBRUARY 6, 2025

Even if infrastructure metrics aren’t your thing, you’re welcome to join us on this creative journey simply swap out the suggested metrics for ones that interest you. For our example dashboard, we’ll only focus on some selected key infrastructure metrics. Click on Select metric. Change it now to sum.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

Dynatrace

OCTOBER 14, 2024

Manage the complexity of authorization systems Most modern authorization systems provide access management using Attribute-Based Access Control (ABAC). The system demands significant effort to design, manage, and maintain, especially as an organization’s needs evolve.

Monitoring 246

Monitoring Metrics Systems Scalability 246

Dynatrace

DECEMBER 12, 2024

I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.

Analytics 289

Analytics Government Efficiency Innovation 289

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 245

Metrics Engineering Energy Tuning 245

Dynatrace

NOVEMBER 20, 2024

This rising risk amplifies the need for reliable security solutions that integrate with existing systems. Using high-fidelity metrics, traces, logs, and user data mapped to a unified entity model, organizations enjoy enhanced automation and broader, deeper security insights into modern cloud environments.

Best Practices 299

Best Practices Innovation Azure Cloud 299

Dynatrace

OCTOBER 31, 2024

This lets you build your SLOs around the indicators that matter to you and your customers—critical metrics related to availability, failure rates, request response times, or select logs and business events. Depending on the environment, the different information types provide indicators that reveal potential problems for your customers.

Metrics 277

Metrics Availability Monitoring Scalability 277

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Metrics, logs , and traces make up three vital prongs of modern observability. How log management systems optimize performance and security.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

FEBRUARY 2, 2023

Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies. This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation.

Analytics 246

Analytics Metrics DevOps Storage 246

Dynatrace

DECEMBER 18, 2024

But nowadays, with complex and dynamically changing modern IT systems, the last result details might not be enough in some cases. Select any execution you’re interested in to display its details, for example, the content response body, its headers, and related metrics.

Monitoring 246

Monitoring Testing Metrics Analytics 246

Dynatrace

DECEMBER 13, 2023

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. There are many common mobile app performance metrics that are used to measure key performance indicators (KPIs) related to user experience and satisfaction.

Best Practices 246

Best Practices Mobile Metrics Performance 246

Dynatrace

OCTOBER 29, 2024

A Dynatrace API token with the following permissions: Ingest OpenTelemetry traces ( openTelemetryTrace.ingest ) Ingest metrics ( metrics.ingest ) Ingest logs ( logs.ingest ) To set up the token, see Dynatrace API – Tokens and authentication in Dynatrace documentation. If you don’t have one, you can use a trial account.

Metrics 246

Metrics Tuning Monitoring Availability 246

Dynatrace

JANUARY 21, 2025

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. Seasonal Baseline: Ideal for metrics with predictable seasonal patterns, this option leverages Davis AI to create a confidence band based on historical data, accounting for expected variations.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

MAY 17, 2023

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. OpenTelemetry is a free and open source take on observability.

Metrics 245

Metrics Open Source Traffic Cache 245

Dynatrace

JANUARY 22, 2025

Enhanced observability and release validation Dynatrace already excels at delivering full-stack, end-to-end observability of your systems and user journeys. This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

OCTOBER 23, 2024

My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. Automate smarter using actual customer experience metrics, not just server-side data. Using causal AI, we identified and resolved performance issues automatically.

Analytics 286

Analytics Logistics IoT Mobile 286

Dynatrace

OCTOBER 29, 2024

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. It’s about uncovering insights that move business forward. The result?

Innovation 288

Innovation Strategy Cloud AWS 288

The Netflix TechBlog

MARCH 7, 2024

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems. ETL workflows), as well as downstream (e.g.

Systems 235

Systems Media Cache Open Source 235

Dynatrace

NOVEMBER 3, 2023

The five key metrics to improve customer satisfaction To help turn this around, Dynatrace makes available its unified observability platform, which captures all CX interactions and transactions in an automated, intelligent manner – including user session replays. When combined, key metrics will generate an accurate CX index score.

Metrics 246

Metrics Government Website Monitoring 246

Dynatrace

MARCH 5, 2025

Integration with existing systems and processes : Integration with existing IT infrastructure, observability solutions, and workflows often requires significant investment and customization. We implemented a wasted energy metric in the app to enhance practitioner actionability.

Energy 223

Energy Analytics Traffic Cloud 223

DZone

JANUARY 16, 2025

Observability has become a key component in software development as it enables the best customer experience by ensuring system health and performance and detecting systemic issues proactively. OpenSearch simplifies this by providing an open-source, scalable solution for logging, metrics, and visualization.

Open Source 173

Open Source Scalability Metrics Systems 173

Dynatrace

DECEMBER 2, 2024

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. It also helps to have access to OpenTelemetry, a collection of tools for examining applications that export metrics, logs, and traces for analysis.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

OCTOBER 10, 2024

New: identify hotspots with the honeycomb visualization Honeycombs are great for visualizing health in complex and distributed systems, enabling you to visualize countless entities effectively and at scale. That way, you can compare multiple charts more easily, regardless of the metric or time span.

Latency 246

Latency Infrastructure Monitoring Metrics 246

Dynatrace

MARCH 12, 2025

Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails. Send unified data to Dynatrace for analysis alongside your logs, metrics, and traces.

Metrics 165

Metrics Serverless Analytics Innovation 165

O'Reilly

MARCH 25, 2025

The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Two big things: They bring the messiness of the real world into your system through unstructured data. When your system is both ingesting messy real-world data AND producing nondeterministic outputs, you need a different approach.

Systems 67

Systems Development Tuning Monitoring 67

The Netflix TechBlog

DECEMBER 17, 2024

To achieve this, we are committed to building robust systems that deliver comprehensive observability, enabling us to take full accountability for every title on ourservice. Each title represents countless hours of effort and creativity, and our systems need to honor that uniqueness. Yet, these pages couldnt be more different.

Traffic 172

Traffic Scalability Strategy Monitoring 172

The Netflix TechBlog

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.

Best Practices 204

Best Practices Cache Metrics Code 204

The Netflix TechBlog

JANUARY 6, 2025

In this case, the main stakeholders are: - Title Launch Operators Role: Responsible for setting up the title and its metadata into our systems. In this context, were focused on developing systems that ensure successful title launches, build trust between content creators and our brand, and reduce engineering operational overhead.

Scalability 219

Scalability Cache Engineering Systems 219

DZone

APRIL 1, 2025

There will be red lamps flashing across your metrics dashboard. Monsters Beneath the Surface In the troubleshooting guide, I already mentioned how important it was to create and closely watch the metrics of your project. System metrics like response time, memory consumption, etc.

Metrics 147

Metrics Engineering Systems Development 147

Dynatrace

NOVEMBER 11, 2024

Kubernetes is a widely used open source system for container orchestration. To calculate the service-level indicator for the Kubernetes namespace memory efficiency SLO, simply query the memory working set and request the memory metrics that are provided out of the box.

Efficiency 263

Efficiency Best Practices Monitoring Cloud 263

Dynatrace

NOVEMBER 18, 2024

The power of cloud observability Modernizing legacy systems can be challenging, and it’s important to do so with purpose—not just to modernize for its own sake. “It’s not the big that will eat the small, it’s the fast that will conquer the slow.” – Jay Snyder, SVP of Partners and Alliances at Dynatrace.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

DZone

MARCH 19, 2025

Traditional debugging methods, including manual inspection of logs, event streams, configurations, and system metrics, can be painstakingly slow and prone to human error, particularly under pressure.

Metrics 147

Metrics Engineering Systems 147

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. How can IT teams deliver system availability under peak loads that will satisfy customers?

Infrastructure 246

Infrastructure Availability Systems Retail 246

Dynatrace

JANUARY 22, 2025

Your teams want to iterate rapidly but face multiple hurdles: Increased complexity: Microservices and container-based apps generate massive logs and metrics. To orchestrate the different logging services, you use Fluent Bit to forward these logs to your centralized logging system, like Dynatrace.

Development 245

Development Processing Monitoring Code 245

The Netflix TechBlog

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Tuning 166

Tuning Latency Efficiency Storage 166

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This technique facilitates validation on multiple fronts.

Traffic 347

Traffic Latency Tuning Systems 347

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Key Takeaways RabbitMQ improves scalability and fault tolerance in distributed systems by decoupling applications, enabling reliable message exchanges.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

The Netflix TechBlog

JUNE 14, 2023

So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. The AB experiment results hinted that GraphQL’s correctness was not up to par with the legacy system.

Traffic 357

Traffic Latency Metrics Cache 357