Dynatrace

DECEMBER 18, 2023

In the last blog post of this series, we delved into how Dynatrace, functioning as a deploy-stage orchestrator, solves the challenges confronted by Site Reliability Engineers (SREs) during the early of automating CI/CD processes. Pass annotation events to Dynatrace, leveraging the Ingest events API, at the beginning and end of each test.

Testing 253

Testing Best Practices Performance Testing Engineering 253

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 179

Metrics Engineering Energy Tuning 179

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 130

Artificial Intelligence Cloud Best Practices DevOps 130

The Netflix TechBlog

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. Movie Entity with id 1234 has violence.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

MARCH 31, 2021

For quite some time already, Dynatrace has provided full observability into AWS services by ingesting CloudWatch metrics that are published by AWS services. Amazon CloudWatch gathers metric data from various services that run on AWS. Dynatrace ingests this data to perform root-cause analysis using the Dynatrace Davis® AI engine.

AWS 152

AWS Metrics Availability Lambda 152

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. However, our customers often want to augment the data Dynatrace provides with data from third-party tools. It also generates  OpenTelemetry  traces.

Analytics 197

Analytics AWS Strategy Infrastructure 197

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. How do you configure the Prometheus OpenMetrics Ingest? Or the Data explorer.

Metrics 203

Metrics Infrastructure Open Source Database 203

Dynatrace

SEPTEMBER 23, 2021

AWS Distro for OpenTelemetry provides an easy way to obtain telemetry data for monitoring critical business applications that run on AWS. Analyzing data for fast troubleshooting can be very complex due to the large amounts of data and variety of data sources. Ease of ingestion —with AWS Distro for OpenTelemetry .

AWS 225

AWS Lambda Serverless Metrics 225

Dynatrace

OCTOBER 7, 2020

At the same time, you can now simply flip a switch to begin ingesting observability data from these tools into the Dynatrace platform, all while retaining your investment and increasing the value you get from Dynatrace. Multidimensional analysis for external metrics ingested via secure local REST API.

Open Source 256

Open Source Metrics Analytics Tuning 256

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 209

Metrics Latency Java Cache 209

Dynatrace

SEPTEMBER 8, 2023

In part 1 of this blog series , we explored the concept of business observability, its significance, and how real-time visibility aids in making informed decisions. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace. Don’t rename the file. Upload the ZIP file.

Database 271

Database Artificial Intelligence Metrics Monitoring 271

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

Dynatrace

OCTOBER 22, 2021

We are changing the pricing for Log Monitoring v2, now ingested log events consume DDU. On the service details page, we have improved how the initial analysis timeframe is selected to make sure it always contains data. See Custom queries, segmentation, and aggregation of session data for details. Dynatrace news.

Metrics 215

Metrics Monitoring Storage Database 215

Dynatrace

NOVEMBER 3, 2023

While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. supports SNMP, WMI, Prometheus, and SQL data sources, and now also JMX; no code is required to leverage these extensions. Dynatrace Extensions 1.0 Extensions 2.0

Technology 248

Technology Technology Scalability Availability 248

Dynatrace

JANUARY 17, 2022

The application Health check page (from the application overview page, select More ( … ) > Health check ) now has a checklist to quickly highlight configuration-induced issues that could prevent RUM data from being received. Calculated app, log, and service metrics now consume Davis data units (Metrics pool).

Metrics 198

Metrics Monitoring Availability Testing 198

Dynatrace

FEBRUARY 3, 2021

Part 2 showed how to run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In this last part of the blog series, we’ll show you how to automatically analyze hundreds of Telegraf-provided metrics and get precise answers. Dynatrace news. This is the job of the Dynatrace platform.

Metrics 164

Metrics Open Source Monitoring Technology 164

Dynatrace

SEPTEMBER 29, 2021

It offers a flexible multidimensional data model that’s based on key-value pairs and a potent query language (PromQL). Prometheus components include client libraries for application code instrumentation, special-purpose exporters for popular services, and the optional Prometheus server for orchestrating service discovery and data storage.

Technology 212

Technology Technology Monitoring AWS 212

Dynatrace

AUGUST 10, 2023

They frequently articulate the need for real-time visibility into business data to support agile business decisions. 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.

Database 228

Database Metrics Retail Analytics 228

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Customizable dashboard.

Technology 219

Technology Technology Metrics Infrastructure 219

Dynatrace

FEBRUARY 24, 2022

Some companies and industries must however comply with privacy rules and regulations that require them to keep their data in a private cloud or on-premises. The Local self-monitoring environment provides an out-of-the-box dashboard to help you manage cluster utilization while enabling precise observability via proactive data capture.

Monitoring 197

Monitoring Metrics Analytics Processing 197

Dynatrace

OCTOBER 15, 2021

Let’s take a closer look and clear up any confusion about what it is, the telemetry data it covers, and the benefits it can provide. 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.

Open Source 221

Open Source Metrics Cloud Transportation 221

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. OneAgent comes with a new metric ingest channel already enabled. Ingest data via OneAgent rather than our REST API.

Metrics 245

Metrics Analytics Storage Monitoring 245

The Netflix TechBlog

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. We refer the reader to our previous blog article for details. This is what we call decoupling producer flows from clients of the data.

Media 264

Media Latency Architecture Database 264

The Netflix TechBlog

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Traces collected from various microservices are ingested in a stream processing manner into the data store. Edgar uses this infrastructure tagging schema to query and join traces with log data for troubleshooting streaming sessions.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

FEBRUARY 17, 2022

end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Automatic connection of traces and log data. Automatically connecting log data to traces works for all log data, no matter how the log data was ingested by Dynatrace. Export log data in log viewer.

Government 184

Government Metrics Monitoring Cloud 184

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

SEPTEMBER 3, 2020

Commonly, AIOps solutions’ typical characteristics are to ingest pre-aggregated data from various solutions across the IT management tooling landscape and conclude what is of relevance in order to focus the user’s attention to the relevant situations. The second major concern I want to discuss is around the data processing chain.

Software 264

Software Software Artificial Intelligence Metrics 264

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 187

Systems Cloud Analytics DevOps 187

Dynatrace

NOVEMBER 19, 2021

Problems API v2 now includes event evidence data as part of the event details. This also affects the Service-level objectives tile in the dashboard where you can only see data for the Service-level objectives that belong to management zones you have access to. More details will come in a separate blog post, shortly.

Metrics 207

Metrics Monitoring Traffic Servers 207

The Netflix TechBlog

APRIL 27, 2023

Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data. Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness.

Storage 288

Storage Cache Metrics Database 288

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

Metrics 215

Metrics Network Monitoring Infrastructure 215

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. Your own ingested OneAgent extension metrics.

Metrics 212

Metrics Innovation Strategy Monitoring 212

Dynatrace

OCTOBER 12, 2023

To help you raise the quality of your investigation results, Dynatrace offers an easy way of structuring data using DPL Architect. The best thing: the whole process is performed on read when the query is executed, which means you have full flexibility and don’t need to define a structure when ingesting data. >>

Speed 209

Speed AWS C++ Availability 209