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 169

Metrics Engineering Energy Tuning 169

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. All metrics, traces, and real user data are also surfaced in the context of specific events.

Metrics 170

Metrics Analytics Software Architecture Open Source 170

The Netflix TechBlog

FEBRUARY 13, 2024

Spot the Difference Can you spot any difference between the two data streams below? In this blog post, we will develop a statistical procedure to do just that, and describe the impact of these developments at Netflix. Can you spot any differences in the statistical distributions between the two data streams?

Testing 239

Testing Software Software Metrics 239

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

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. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0

Technology 236

Technology Technology Scalability Availability 236

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

Metrics 217

Metrics Analytics Monitoring Efficiency 217

Dynatrace

MAY 17, 2022

By taking advantage of native Kubernetes standards, Dynatrace Cloud Native Full Stack injection empowers you to precisely provide the data that your teams need in exceptionally fast and automated ways. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments.

Availability 305

Availability Scalability Cloud Metrics 305

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Minimized cross-data center network traffic.

Availability 237

Availability Hardware Latency Traffic 237

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 216

Metrics Operating System Tuning Monitoring 216

The Netflix TechBlog

AUGUST 1, 2022

Data Mesh?—?A 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 After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

Processing 272

Processing Transportation Entertainment Tuning 272

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. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

Metrics 196

Metrics Latency Java Cache 196

Dynatrace

JULY 21, 2020

Metrics are an essential functionality provided by the Dynatrace Software Intelligence Platform. Dynatrace OneAgent and ActiveGate extensions provide you with a multitude of metrics. We also empower you with the ability to ingest your own custom metrics and leverage those metrics using a variety of Dynatrace features.

Metrics 147

Metrics Azure Monitoring Infrastructure 147

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. All metrics, traces, and real user data are also surfaced in the context of specific events.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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 189

Metrics Infrastructure Open Source Monitoring 189

Dynatrace

SEPTEMBER 28, 2021

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 189

DevOps Metrics Traffic Efficiency 189

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

DECEMBER 9, 2020

Recently we simplified observability for custom metrics and opened up Dynatrace OneAgent for integration of metrics from various sources like StatsD , Telegraf , and Prometheus. We’re therefore happy to introduce the new metric browser , available as an Early Adopter release with Dynatrace version 1.207.

Metrics 144

Metrics Analytics Availability Monitoring 144

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. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

MARCH 15, 2024

As organizations strive for observability and data democratization, OpenTelemetry emerges as a key technology to create and transfer observability data. Understanding OpenTelemetry OpenTelemetry is an open, vendor-neutral standard for creating, collecting, and transferring telemetry data, like traces, metrics, and logs.

Open Source 130

Open Source Best Practices Infrastructure Tuning 130

Dynatrace

FEBRUARY 15, 2023

Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Observability and application security use cases rely on data.

Analytics 218

Analytics Social Media Metrics Efficiency 218

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 237

Media Traffic Processing Design 237

Dynatrace

JUNE 4, 2024

How we define auto-adaptive thresholds at Dynatrace This blog post explores how Dynatrace leveraged the Site Reliability Guardian to establish a fast feedback loop for Davis AI model improvements. While the data science team appreciated the quick insights and validations of their improvements, they initially struggled with the setup.

Metrics 219

Metrics Engineering Code Tuning 219

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. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

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. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

JANUARY 12, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 172

Metrics Open Source Monitoring Analytics 172

Dynatrace

MAY 23, 2024

Dynatrace ® AppEngine features a no- and low-code toolset and leverages Davis AI to empower teams to easily create and share custom, intelligent, and secure apps that leverage insights from data generated by their clouds. The following figure shows the benefits of Azure Native Dynatrace Service.

Azure 213

Azure Cloud Metrics Innovation 213

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

FEBRUARY 3, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. Part 2 showed how to run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 156

Metrics Open Source Monitoring Technology 156

The Netflix TechBlog

JUNE 25, 2021

By Gim Mahasintunan on behalf of Data Platform Engineering. Supporting a rapidly growing base of engineers of varied backgrounds using different data stores can be challenging in any organization. In this blog post, we are thrilled to share that we are open-sourcing one such tool: the Netflix Data Explorer.

Metrics 152

Metrics Best Practices Strategy Design 152

Dynatrace

AUGUST 5, 2020

Dynatrace Synthetic Monitoring allows you to proactively monitor the availability of your public as well as your internal web applications and API endpoints from locations around the globe or important internal locations such as branch offices. Ensure better user experience with paint-focused performance metrics. Dynatrace news.

Metrics 203

Metrics Monitoring Performance Benchmarking 203

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 205

Metrics Network Monitoring Infrastructure 205

Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 150

Metrics Open Source Tuning Analytics 150

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 204

Traffic AWS Network Cloud 204

Dynatrace

AUGUST 16, 2022

The data locked in your log files can be a goldmine for your application developers, operations teams, and your enterprise as a whole. However, it can be complicated , expensive , or even impossible to set up robust observability that makes use of this data. Log format inconsistency makes it a challenge to access critical data.

Processing 178

Processing Metrics Monitoring Java 178

Dynatrace

NOVEMBER 3, 2020

Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus. Dynatrace news.

Metrics 151

Metrics Open Source Monitoring Traffic 151

Dynatrace

JUNE 3, 2022

Without any configuration or the need for a data scientist, Davis provides instant and automatic answers to degradations in service, anomalies in behavior, and impact on user experience so that I&O teams can chart a clear course of action to resolve issues. This ensures greater agility and reduces the time to resolution. New to Dynatrace?

Metrics 213

Metrics Mobile IoT Monitoring 213