Dynatrace

JANUARY 22, 2025

That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines. By integrating Dynatrace with GitHub Actions, you can proactively monitor for potential issues or slowdowns in the deployment processes.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

OCTOBER 16, 2024

You can now: Kickstart your creation journey using ready-made dashboards Accelerate your data exploration with seamless integration between apps Start from scratch with the new Explore interface Search for known metrics from anywhere Let’s look at each of these paths through an end-to-end use case focused on Kubernetes monitoring.

Social Media 263

Social Media Metrics Network Analytics 263

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. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform.

Analytics 286

Analytics Logistics IoT Mobile 286

Dynatrace

JANUARY 21, 2025

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. What is observability?

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

NOVEMBER 15, 2022

Business events powered by our new Grail™ data lakehouse and by other Dynatrace platform technologies ensures the real-time precision that business and IT teams need to make data-driven decisions and improve business outcomes. Business events deliver the industry’s broadest, deepest, and easiest access to your critical business data.

Analytics 264

Analytics Mobile Metrics Games 264

Dynatrace

SEPTEMBER 27, 2024

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

Processing 263

Processing Retail Analytics Monitoring 263

Dynatrace

SEPTEMBER 8, 2023

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 290

Database Artificial Intelligence Metrics Monitoring 290

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 279

Processing Monitoring Analytics C++ 279

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. What’s behind it all? With over 2.5

Innovation 288

Innovation Strategy Cloud AWS 288

Dynatrace

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. However, in the real world, business-related data isn’t limited to metrics.

Database 246

Database Metrics Retail Analytics 246

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 246

Processing Monitoring Analytics Games 246

The Netflix TechBlog

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 273

Processing Transportation Entertainment Tuning 273

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

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Topology and non-topology metrics—what’s the difference?

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

NOVEMBER 11, 2022

Getting the information and processes in place to ensure alerts like this example can be organizationally difficult. While you’re waiting for the information to come back from the teams, Davis on-demand exploratory analysis can proactively find, gather, and automatically analyze any related metrics, helping get you closer to an answer.

DevOps 245

DevOps C++ Serverless Processing 245

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 277

Metrics Innovation Strategy Monitoring 277

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. What are business events? This diagram shows a few examples of business events.

Analytics 246

Analytics Retail Storage Monitoring 246

Dynatrace

AUGUST 16, 2022

Even worse, if your service logs record critical events such as errors in a non-standard way, those errors might go unnoticed by your observability team. Whether a web server, mobile app, backend service, or other custom application, log data can provide you with deep insights into your software’s operations and events.

Processing 246

Processing Metrics Monitoring Java 246

Dynatrace

NOVEMBER 30, 2022

The volume of data and events grows in tandem with the rising complexity of IT infrastructure. While SNMP allows you to query monitored devices for performance information, SNMP traps are used to proactively report certain types of events. These can range from routine state transition events to critical problem reports.

Network 246

Network Infrastructure Metrics Monitoring 246

Dynatrace

NOVEMBER 16, 2021

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 246

Metrics Infrastructure Database Open Source 246

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Understanding the context.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. It collects, processes, and outputs log files to and from a wide variety of technologies. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams.

Metrics 245

Metrics Analytics Software Architecture Open Source 245

Dynatrace

OCTOBER 21, 2021

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. Like this unhandled exception leading to a crash of the process. Not only do we have the detailed log, but we also know the API endpoint was the HTTP GET /event. Dynatrace news.

Metrics 246

Metrics DevOps Engineering Strategy 246

Dynatrace

JULY 24, 2023

They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions. We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes.

DevOps 246

DevOps Traffic Efficiency Servers 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. This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment.

Open Source 246

Open Source Metrics Cloud Transportation 246

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 245

Metrics Engineering Energy Tuning 245

Dynatrace

APRIL 13, 2021

With Dynatrace, you only need to install a single OneAgent per host to collect all relevant metrics from 100% of your application-delivery chain. Each maintenance window can be defined either as a one-off event or a recurring event. a one-off event). The OneAgent advantage.

Processing 264

Processing Monitoring Performance Availability 264

Dynatrace

NOVEMBER 26, 2019

Define custom events that can either trigger deeper analysis or contribute additional contextual information to Davis. The improved configuration workflow for custom event alerting offers a lot of power in terms of defining additional metric-based events for your Dynatrace environment. We opened up the Davis 2.0

Engineering 69

Engineering Serverless Metrics Code 69

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Option 1: Log Processing Log processing offers a straightforward solution for monitoring and analyzing title launches.

Traffic 172

Traffic Scalability Strategy Monitoring 172

Dynatrace

MARCH 13, 2025

The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.) metrics from span data. The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.) metrics from span data.

Open Source 147

Open Source Metrics Architecture Infrastructure 147

The Netflix TechBlog

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. To emit a run queue latency metric, we leveraged three eBPF hooks: sched_wakeup, sched_wakeup_new, and sched_switch. The sched_wakeup and sched_wakeup_new hooks are invoked when a process changes state from 'sleeping' to 'runnable.'

Latency 262

Latency Metrics Programming Monitoring 262

Scalegrid

FEBRUARY 24, 2025

Proper setup involves creating a configuration process that accounts for hostname changes, which could prevent nodes from rejoining the cluster. Message load balancing guarantees that messages are processed evenly across different queues and nodes within the RabbitMQ system. Erlang is the backbone of RabbitMQ clustering.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. Managing incidents in corresponding tools. Identifying the root cause and proper countermeasures.

DevOps 306

DevOps Software Engineering Games Infrastructure 306

Dynatrace

OCTOBER 4, 2024

Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This process begins when the developer merges a code change and ends when it is running in a production environment.

Software 278

Software Software Development Performance 278

Dynatrace

FEBRUARY 4, 2025

Additionally, predictions based on historical data are reactive, solely relying on past information to anticipate future events, and can’t prevent all new or emerging issues. Automatic root cause detection Modern, complex, and distributed environments generate a substantial number of events.

Retail 130

Retail Metrics Engineering Efficiency 130