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 226

Metrics Operating System Tuning Monitoring 226

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 151

Metrics Open Source Tuning Analytics 151

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. Visibility into SAP CPI messages, down to every single attribute.

Java 188

Java Analytics Best Practices Monitoring 188

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Observability on edge devices presents unique challenges compared to traditional data-center or cloud-based environments.

Retail 258

Retail Analytics Storage Metrics 258

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 220

Analytics Storage Infrastructure Metrics 220

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 183

DevOps Analytics Storage Metrics 183

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. For the most granular metrics and network insights, OneAgent is the optimal choice.

Infrastructure 181

Infrastructure Metrics Network Monitoring 181

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

MARCH 29, 2024

At every organization, the digital landscape is evolving rapidly, presenting IT operations teams with unique challenges. While respondents have made progress in terms of instrumentation, This suggests there is ample opportunity for organizations to use a log management and analytics platform such as Dynatrace to ingest and analyze log data.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). But contextual analytics don’t stop here. “AI

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon Kinesis Data Analytics. Select Add metric to save your settings.

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon Kinesis Data Analytics. Select Add metric to save your settings.

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Dynatrace news.

Technology 217

Technology Technology Metrics Infrastructure 217

Dynatrace

AUGUST 21, 2023

” But, he continues, ” Today’s environments present a completely different picture. Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution. during 2021–2026.

Analytics 145

Analytics Innovation Infrastructure Scalability 145

Dynatrace

FEBRUARY 13, 2020

Across both his day one and day two mainstage presentations, Steve Tack, SVP of Product Management, described some of the investments we’re making to continue to differentiate the Dynatrace Software Intelligence Platform. Dynatrace news. As a result, we announced the extended support for Kubernetes for Dynatrace customers.

Performance 235

Performance Analytics Mobile Innovation 235

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 316

Availability Scalability Cloud Metrics 316

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. A feature that enables you to present log data in a filterable table that is easy to work with.

AWS 217

AWS Transportation Network Traffic 217

Dynatrace

NOVEMBER 24, 2021

framework , the SNMP extensions are a bundle of everything that’s needed (DataSource configuration, a dashboard template, a unified analysis page template, topology definition, entity extraction rules, relevant metric definitions and more) to get going with monitoring. Simplified data analysis presented in topological context.

Network 210

Network Infrastructure Virtualization Metrics 210

Dynatrace

APRIL 25, 2023

Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Some platforms provide built-in metrics, logs and traces for serverless functions, while others require additional configuration or integration with external services or agents.

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

APRIL 6, 2022

A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. Cloud environments present IT complexity challenges that don’t exist in on-premises data centers. Improve business decisions with precision analytics.

DevOps 230

DevOps Innovation Infrastructure Analytics 230

Percona

DECEMBER 6, 2023

In this post, I will present a new Percona tool: Percona Monitoring and Management (PMM) Dump. The PMM Dump performs a logical backup of the performance metrics collected by the PMM Server and imports them into a different PMM Server instance. It will not collect query analytics data by default. filename=1672934793-1672935093.bin

Monitoring 94

Monitoring Metrics Analytics Open Source 94

Dynatrace

SEPTEMBER 7, 2022

automating ingestion of logs, metrics, and traces and continuous dependency mapping with precise context across hybrid and multicloud environments. Log Viewer enables users to present log data in a filterable, easy-to-use table and to browse log data within a certain time frame using detected aspects of the log content.

Traffic 215

Traffic AWS Network Cloud 215

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. When releasing into production, Gardner said it’s important to think beyond performance metrics. Organizations get end-to-end observability from code to production with the right data in context.

Engineering 181

Engineering Development Infrastructure Cloud 181

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. This metric indicates how quickly software can be released to production. Dynatrace news.

Monitoring 200

Monitoring Software Software DevOps 200

Speed Curve

NOVEMBER 27, 2023

Earlier this year, Google announced that Interaction to Next Paint (INP) is no longer an experimental metric. Now that INP has arrived to dethrone FID as the responsiveness metric in Core Web Vitals, we've turned our eye to scrutinizing its effectiveness. When it comes to new performance metrics, it's easy to jump on bandwagons.

Google 112

Google Traffic Ecommerce Metrics 112

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. It should offer user-friendly operation. Capabilities for handling diverse data management functions are necessary.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 15, 2021

Because of everything that can go wrong, it’s imperative for organizations to constantly track metrics that indicate user satisfaction and have a robust complaint resolution model in place. Without agreeing on the single source of truth, you’ll end up in meetings arguing about metrics instead of helping your users.

Mobile 217

Mobile Social Media Monitoring Metrics 217

Speed Curve

MAY 9, 2023

Today at Google I/O 2023, it was announced that Interaction to Next Paint (INP) is no longer an experimental metric. It's been hugely helpful to have a simple set of three metrics – focused on loading, interactivity, and responsiveness – that everyone can understand and focus on. How does INP compare to FID? have occurred.

Metrics 96

Metrics Google Mobile Analytics 96

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. Given our role on this critical path, accuracy is paramount.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Speed Curve

FEBRUARY 25, 2024

Heatmap of the most popular pages and their Web Vitals metrics I then typically switch to the RUM > Design dashboard and use the list of popular interaction elements to determine which ones I want to investigate further. I find that separating how I think about Input Delay versus Processing Time and Presentation Delay can help.

Analytics 93

Analytics Processing Google Mobile 93

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. AIOps is often presented as a way to reduce the noise of countless alerts, but it can and should be more than that. Two approaches to AIOps.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Dynatrace

AUGUST 12, 2020

Simplify error analytics. Find out why your request is slow with top findings automatically analyzed and presented by Dynatrace. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics. Optimize timing hotspots. Understand and optimize your architecture.

Serverless 236

Serverless Azure Monitoring Lambda 236

Scalegrid

JANUARY 11, 2024

Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130