DZone

JUNE 11, 2023

Application logs and metrics are vital for any application development or maintenance process. They provide valuable information about the application's performance, errors, and user behavior, which can be used to identify and resolve issues quickly. That's where Elasticsearch and Kibana come in.

Metrics 141

Metrics Open Source Analytics Engineering 141

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. How can we optimize for performance and scalability? Does a certain issue impact a specific service?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 181

Analytics Storage Retail DevOps 181

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. These are just some of the topics being showcased at Perform 2023 in Las Vegas. Perform 2023 news At Perform 2023 in Las Vegas, the headliner theme is IT automation. What is a data lakehouse?

Efficiency 275

Efficiency Performance Analytics DevOps 275

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. Attack tactics describe why an attacker performs an action, for example, to get that first foothold into your network. Therefore, we filtered them out with DQL.

Analytics 195

Analytics AWS Strategy Infrastructure 195

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance. Learn more.

Google 261

Google Innovation Cloud Analytics 261

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

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 147

Metrics Analytics Availability Monitoring 147

Dynatrace

APRIL 10, 2023

Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. Moreover, organizations have to balance maintaining security, retaining cloud management expertise, and managing infrastructure performance. Rural lifestyle retail giant Tractor Supply Co.

Cloud 171

Cloud Ecommerce Performance Retail 171

DZone

FEBRUARY 5, 2024

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. One of the latest advancements in effectively analyzing a large amount of logging data is Machine Learning (ML) powered analytics provided by Amazon CloudWatch.

Analytics 269

Analytics Innovation Strategy Efficiency 269

Dynatrace

FEBRUARY 18, 2020

Traditionally, it’s critical for Dev and Ops teams to be able to quickly discover and remediate application performance and customer-facing issues. On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience.

Analytics 195

Analytics Retail Metrics Mobile 195

DZone

NOVEMBER 25, 2023

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. The New Decision Matrix: Beyond Performance Metrics Performance metrics are pivotal, no doubt. How do these metrics translate into real-world value for your business?

Database 268

Database Latency Speed Metrics 268

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. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?

Metrics 180

Metrics Open Source Traffic Cache 180

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 178

Metrics Open Source Monitoring Analytics 178

Jos

MARCH 13, 2020

Web Performance is important for user experience and business metrics. This post explains several ways of assessing the potential performance gains with little effort and, more importantly, without actually implementing fixes. What is the business opportunity for web performance improvements? I would repeat over and over.

Performance 204

Performance Google Mobile Analytics 204

Dynatrace

JANUARY 25, 2022

Despite having to reboot Perform 2022 from onsite in Vegas to virtual, due to changing circumstances, we’re still set to offer just the same high-quality training. This means that despite not being in Vegas, our hands-on training (HOT) session attendees will see very minimal changes as we migrate to a virtual Perform 2022.

Performance 211

Performance Virtualization Education Analytics 211

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. While ingestion of OpenTelemetry traces and metrics into Dynatrace is supported, companies often prefer to collect logs in the OpenTelemetry format.

Open Source 214

Open Source Analytics Metrics Cloud 214

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 235

Performance Analytics Mobile Innovation 235

Dynatrace

NOVEMBER 3, 2023

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

Technology 246

Technology Technology Scalability Availability 246

Dynatrace

APRIL 21, 2021

Ben Rushlo, Dynatrace Vice President of DEM Services, puts it this way: “As performance degrades, user experience degrades, engagement degrades, and business outcomes degrade.” Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device.

Metrics 134

Metrics Google Website Speed 134

Dynatrace

MARCH 6, 2024

Gaining knowledge about IBM i performance can be a challenging and pricey task. Additionally, certain tools require auxiliary services to gather performance data before it can be examined and queried. It then collects performance data using existing database services running on your system. It’s all monitored remotely !

Monitoring 234

Monitoring Infrastructure Metrics Analytics 234

Dynatrace

NOVEMBER 6, 2023

Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. By drilling down further on the workload level, you can gain valuable insights into the performance and potential problems of any containerized workload.

Retail 258

Retail Analytics Storage Cloud 258

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

MARCH 1, 2024

By going beyond application performance monitoring with AI-powered, full stack observability, Dynatrace enables seamless end-to-end visibility. This enables you to enrich your Adobe analytics data with end-to-end traces across all tiers and to get precise, real-time user insights.

Analytics 189

Analytics Monitoring Website Efficiency 189

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

SEPTEMBER 13, 2023

Many companies rely on Citrix as a critical component of their infrastructure that demands thorough observability and integrated analytics across the entire application landscape. Automated AI-powered analytics are necessary to match the scale of monitoring these enterprises require.

Monitoring 220

Monitoring Healthcare Infrastructure Metrics 220

Dynatrace

JULY 10, 2023

These environments are marked by continuous delivery of microservice updates into production, the abstractions inherent in Kubernetes environments, and challenges associated with applications distributed across multicloud environments—often with performance and security risks. Dynatrace was recognized as Compuware from 2010-2014.

Monitoring 220

Monitoring Retail Performance Government 220

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data. Capacity planning.

Artificial Intelligence 262

Artificial Intelligence DevOps Analytics Engineering 262

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. That’s where causal AI can help.

Government 199

Government Analytics Benchmarking Storage 199

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. Customer decisions about data retention are often determined by important security, privacy, and legal issues.

Analytics 213

Analytics Storage Infrastructure Metrics 213

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. Business data is more than metrics Dynatrace ActiveGate extensions allow you to extend Dynatrace monitoring to any remote technology that exposes an interface.

Database 226

Database Metrics Retail Analytics 226

Dynatrace

DECEMBER 4, 2023

AI model observability plays a crucial role in achieving this by addressing these key aspects: Model performance and reliability: Evaluating the model’s ability to provide accurate and timely responses, ensuring stability, and assessing domain-specific semantic accuracy. Maintained under the Apache 2.0

Open Source 257

Open Source Latency Metrics Java 257

Jos

MARCH 13, 2020

Web Performance is important for user experience and business metrics. This post explains several ways of assessing the potential performance gains with little effort and, more importantly, without actually implementing fixes. What is the business opportunity for web performance improvements? I would repeat over and over.

Performance 130

Performance Google Mobile Analytics 130

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Comparing log monitoring, log analytics, and log management. These two processes feed into one another.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

MARCH 27, 2024

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. Notebooks are a perfect tool to understand and perform an in-depth analysis of AWS AppFabric logs, thanks to the powerful Dynatrace query language, DQL.

AWS 245

AWS Analytics Government Monitoring 245

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” The first risk is not adopting AI at all.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185