Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Architecture 290

Architecture Efficiency Energy Monitoring 290

Dynatrace

OCTOBER 26, 2020

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. In our conversation, I mentioned the new Dynatrace Metrics ingestion and off we went. ?? There are many use cases for using this API.

Innovation 234

Innovation Metrics Hardware Open Source 234

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. OpenTelemetry reference architecture. Logs, metrics, and traces make up the bulk of all telemetry data. What is telemetry data?

Open Source 246

Open Source Metrics Cloud Transportation 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

APRIL 8, 2022

Detailed performance analysis for better software architecture and resource allocation. All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events. So, let’s compare the two approaches for ingesting logs.

Metrics 245

Metrics Analytics Software Architecture Open Source 245

Dynatrace

DECEMBER 18, 2020

Agentless RUM, OpenKit, and Metric ingest to the rescue! App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. What insights can we gain from usage metrics that we can feed-back to our product management teams? So here I chose the Metric Ingest API ( /api/v2/metrics/ingest ).

Analytics 200

Analytics Metrics IoT Monitoring 200

Dynatrace

MARCH 13, 2025

OpenTelemetry Astronomy Shop demo application architecture diagram. The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.) metrics from span data. metrics from span data. Once the application is running, youll see traces, metrics, and logs start to appear.

Open Source 147

Open Source Metrics Architecture Infrastructure 147

Scalegrid

FEBRUARY 6, 2025

This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ? What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

DZone

SEPTEMBER 16, 2024

By efficiently capturing, processing, and transmitting logs, metrics, and traces, observability agents provide a comprehensive view of system health and behavior. This data is then sent to centralized observability platforms where it can be analyzed to gain valuable insights into system performance, identify issues, and optimize operations.

Architecture 162

Architecture Network Infrastructure Metrics 162

The Netflix TechBlog

FEBRUARY 14, 2025

Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset. Impression Source-of-Truth architecture Ensuring High Quality Impressions Maintaining the highest quality of impressions is a top priority.

Tuning 166

Tuning Latency Efficiency Storage 166

DZone

JUNE 15, 2023

As one of the most popular open-source Kubernetes monitoring solutions, Prometheus leverages a multidimensional data model of time-stamped metric data and labels. The platform uses a pull-based architecture to collect metrics from various targets.

Open Source 298

Open Source Metrics Efficiency Architecture 298

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 189

Architecture Availability Infrastructure Metrics 189

DZone

MARCH 7, 2023

When organizations move toward the cloud, their systems also lean toward distributed architectures. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces. One of the most common examples is the adoption of microservices.

Architecture 321

Architecture Metrics Cloud Monitoring 321

Scalegrid

FEBRUARY 24, 2025

This decoupling is crucial in modern architectures where scalability and fault tolerance are paramount. The architecture of RabbitMQ is meticulously designed for complex message routing, enabling dynamic and flexible interactions between producers and consumers.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

The Netflix TechBlog

JANUARY 6, 2025

Title Health encompasses various metrics and indicators that reflect how well a title is performing, in terms of discoverability and member engagement. What is the architecture of the systems involved? This shared language became a foundation for discussing the complexities of thisdomain. How do we ensure standardization?

Scalability 219

Scalability Cache Engineering Systems 219

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. This example shows how relying on metrics and log data alone is insufficient. This example shows how relying on metrics and log data alone is insufficient. The setup .

Metrics 276

Metrics Architecture Engineering Processing 276

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. OK, Results?

Storage 297

Storage Cache Metrics Database 297

DZone

MAY 1, 2023

The main purpose of this article and use case is to scrape AWS CloudWatch metrics into the Prometheus time series and to visualize the metrics data in Grafana. These tools give greater visibility other than collecting the metrics also, where we can set up critical alerts, live views, and custom dashboards.

AWS 263

AWS Open Source Tuning Metrics 263

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Dynatrace news.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

DZone

AUGUST 1, 2024

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Database Systems: Modernization for Data-Driven Architectures. Through continuous or periodic observation, organizations are able to track how key metrics are changing over time.

Database 260

Database Analytics Software Software 260

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

DZone

FEBRUARY 16, 2023

Now, we are moving toward microservices architecture, where applications are divided into multiple independently deployable services. In this kind of application architecture, it becomes difficult to observe how one service depends on or affects other services. These services have their own goal and logic to serve.

Architecture 266

Architecture Metrics Code Systems 266

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. Provides a platform to ensure that relevant operational insights , metrics, logging, and alerting are in place before migration.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

APRIL 4, 2025

It provides unified observability by automatically correlating logs and placing them in the context of traces and metrics. The Grail architecture ensures scalability, making log data accessible for detailed analysis regardless of volume. Grail, the Dynatrace schema on-read data lakehouse , is at the heart of the Dynatrace platform.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

The Netflix TechBlog

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 327

Network Transportation AWS Cloud 327

Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. The need for a simplified approach to capture telemetry. How to get started.

Lambda 246

Lambda Serverless AWS Latency 246

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 246

Analytics Innovation Metrics Database 246

The Netflix TechBlog

FEBRUARY 3, 2021

Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. Backward compatibility is even more critical when working in a Federated GraphQL architecture.

Open Source 246

Open Source Java Architecture Metrics 246

Dynatrace

SEPTEMBER 4, 2020

While an SLI is just a metric, an SLO just a threshold you expect your SLI to be in and SLA is just the business contract on top of an SLO. Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. class SRE implements DevOps) !

DevOps 326

DevOps Metrics Innovation Azure 326

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Track log metrics and receive alerts without manually setting thresholds.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

JULY 24, 2024

As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x).

Availability 279

Availability Infrastructure Metrics Hardware 279

DZone

AUGUST 18, 2023

Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. It has its roots in the three-tiered model of application architecture. While Kubernetes helped resolve deployment challenges, the communication between microservices remained a source of unreliability.

Traffic 239

Traffic Open Source Architecture Metrics 239