Dynatrace

AUGUST 2, 2021

Metrics matter. As objective measurements, they allow us to make data-driven decisions. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. Metric calculations help you design custom dashboards that meet the requirements of specific teams. Dynatrace news.

Metrics 245

Metrics Analytics Google Code 245

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 175

Metrics Engineering Energy Tuning 175

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

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 192

DevOps Analytics Airlines Metrics 192

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 217

Analytics Storage Infrastructure Metrics 217

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. Dynatrace news. What is Fluentd?

Metrics 176

Metrics Analytics Software Architecture Open Source 176

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 197

Government Analytics Benchmarking Storage 197

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

NOVEMBER 3, 2023

It also requires agencies to develop digital experiences that are user-centric and data-driven. When combined, key metrics will generate an accurate CX index score. But which metrics should your agency include? The following are five essential customer experience metrics: Transaction completion time. Conversion rate.

Metrics 210

Metrics Government Website Monitoring 210

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

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

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. Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. Lead time for changes helps teams understand how effective their processes are.

DevOps 196

DevOps Metrics Traffic Efficiency 196

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 313

Availability Scalability Cloud Metrics 313

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 244

Availability Hardware Latency Traffic 244

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. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 179

Infrastructure Availability Systems Retail 179

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 225

Metrics Analytics Monitoring Efficiency 225

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

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 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Ensuring observability across these environments requires access to data at a massive scale.

Analytics 226

Analytics Social Media Metrics Efficiency 226

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. Dynatrace news. What is Fluentd?

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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

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 197

Metrics Infrastructure Open Source Database 197

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 203

Metrics Latency Java Cache 203

Dynatrace

APRIL 24, 2024

To transparently manage expectations and maintain trust with our customers, we expanded the Dynatrace SLA beyond accessing the user interface to cover the full range of relevant product categories, such as processing and retaining incoming data, accessing and working with data, and triggering automations.

Azure 237

Azure Infrastructure Metrics AWS 237

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 182

Analytics Innovation Metrics Database 182

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 146

Metrics Analytics Availability Monitoring 146

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable.

Metrics 177

Metrics Open Source Traffic Cache 177

Dynatrace

JULY 11, 2023

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Captures metrics, traces, logs, and other telemetry data in context. Having all data in context tremendously simplifies analytics and problem detection.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 168

Metrics Monitoring Database Network 168

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. Modern observability necessitates a holistic approach to collecting, processing, and analyzing data.

Monitoring 151

Monitoring Education Technology Technology 151

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

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 212

Traffic AWS Network Cloud 212

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 182

Analytics Java Infrastructure Cloud 182

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

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 211

Metrics Network Monitoring Infrastructure 211