Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. They also need a high-performance, real-time analytics platform to make that data actionable.

Cloud 256

Cloud Lambda AWS Analytics 256

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 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

MARCH 12, 2024

They can be expensive to implement and maintain, rely on fragile data pipelines, and require highly skilled data analysts to ensure ongoing relevance. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 255

Processing Monitoring Analytics C++ 255

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. The Business Flow app Business Flow, built with AppEngine, simplifies the configuration, monitoring, and analysis of business processes.

Processing 194

Processing Monitoring Analytics Games 194

DZone

JULY 12, 2023

In today's digital landscape, businesses heavily rely on content delivery networks (CDNs) to ensure efficient and reliable delivery of their web content to users across the globe. However, the extended infrastructure of CDNs requires diligent monitoring to ensure optimal performance and identify potential issues.

Infrastructure 244

Infrastructure Monitoring Website Performance Website 244

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

FEBRUARY 28, 2024

The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications.

Monitoring 187

Monitoring Artificial Intelligence Performance Healthcare 187

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

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 182

Metrics Engineering Energy Tuning 182

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 234

Metrics Analytics Monitoring Efficiency 234

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 205

DevOps Metrics Traffic Efficiency 205

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. But as a company with a mission to “ Do It Right ” and be a relentless ally for customers and communities, the high-cost monitoring solutions it was using provided only limited insights into end-user experiences.

Technology 221

Technology Technology Analytics Innovation 221

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 226

Cloud Monitoring Best Practices Infrastructure 226

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 204

Government Analytics Benchmarking Storage 204

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.-based

Analytics 192

Analytics Infrastructure Storage Efficiency 192

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 231

Metrics Operating System Tuning Monitoring 231

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. Customized security measures tailored to the specific architecture and workloads of each organization’s cloud infrastructure can effectively protect data from potential threats or vulnerabilities.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 245

Serverless Efficiency Lambda Azure 245

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 272

Artificial Intelligence Analytics Storage Architecture 272

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 234

Analytics Social Media Metrics Efficiency 234

Percona

NOVEMBER 6, 2023

With Percona Operators , users can easily deploy, monitor, and manage databases orchestrated by Kubernetes, making it easier and more efficient to run databases at scale. Our Operators come with Custom Resources that have their own statuses and fields to ease monitoring and troubleshooting.

Metrics 69

Metrics Monitoring Database Cache 69

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. There’s no need for configuration or setup of any infrastructure.

Azure 230

Azure Cloud Metrics Innovation 230

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. These considerations include:

Open Source 298

Open Source Metrics Efficiency Architecture 298

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. What is digital experience monitoring?

Monitoring 208

Monitoring Social Media IoT Metrics 208

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 190

Analytics Innovation Metrics Database 190

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example. Clean data and optimize quality.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

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 265

Artificial Intelligence Analytics Metrics Storage 265

Dynatrace

JANUARY 13, 2022

Real user monitoring can help you catch these issues before they impact the bottom line. What is real user monitoring? Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. How real user monitoring works.

Monitoring 184

Monitoring Latency Mobile Best Practices 184

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. The need for API monitoring.

Monitoring 182

Monitoring Latency Metrics Availability 182

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 220

Traffic AWS Network Cloud 220

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log monitoring? Dynatrace news. billion in 2020 to $4.1

Analytics 213

Analytics Monitoring Artificial Intelligence DevOps 213

Dynatrace

AUGUST 16, 2023

SLO monitoring and alerting on SLOs using error-budget burn rates are critical capabilities that can help organizations achieve that goal. SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. What is SLO monitoring? And what is an error budget burn rate?

Monitoring 190

Monitoring DevOps Metrics Innovation 190

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. The consequences of rollbacks are significant and should not be underestimated.

Database 130

Database Network Servers Monitoring 130

Dynatrace

NOVEMBER 12, 2020

Management zones simultaneously promote collaboration and the sharing of relevant team-specific data while ensuring secure access controls. Recently, we simplified StatsD, Telegraf, and Prometheus observability by allowing you to capture and analyze all your custom metrics.

Metrics 205

Metrics Retail Monitoring Analytics 205

Dynatrace

NOVEMBER 9, 2023

Easily monitor your Nutanix clusters with Dynatrace The Dynatrace Nutanix Cluster Extension offers straightforward yet powerful features to help you streamline your monitoring with an easy one-click activation via Dynatrace Hub. However, this approach doesn’t provide seamless monitoring coverage.

Virtualization 198

Virtualization Storage Metrics Monitoring 198

Dynatrace

FEBRUARY 1, 2024

To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. Based on the topology model, detected dependencies, and thousands of events and metrics, Davis AI can pinpoint the origin of an issue. This allows you to pinpoint troubled data centers at a glance.

Infrastructure 185

Infrastructure Metrics Network Monitoring 185