Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 available, and more are in the pipeline. Extensions 2.0

Technology 243

Technology Technology Scalability Availability 243

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. Dynatrace extends its unique topology-based analytics and AIOps approach.

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. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis. Dynatrace news.

Analytics 211

Analytics Storage Retail Monitoring 211

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says.

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 192

Analytics Processing Transportation Storage 192

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics 173

Analytics Ecommerce Metrics Innovation 173

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? We believe that the two worlds of automated (AIOps) and manual (dashboards) data analytics are complementary rather than contradictory. Why today’s data analytics solutions still fail us.

Metrics 225

Metrics Analytics Monitoring Efficiency 225

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

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. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis. Dynatrace news.

Analytics 178

Analytics Storage Retail Monitoring 178

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. “Logging” is the practice of generating and storing logs for later analysis. What is log analytics? Dynatrace news.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

NOVEMBER 18, 2021

Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. How to get started.

Analytics 221

Analytics Cloud Java Serverless 221

Dynatrace

FEBRUARY 15, 2023

Therefore, teams need a unified, intuitive approach to data aggregation and analysis. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Four factors limit the quality and trustworthiness of traditional approaches to cloud monitoring.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

FEBRUARY 9, 2023

Luckily, Dynatrace provides in-depth memory allocation monitoring, which allows fine-grained allocation analysis and can even point to the root cause of a problem. While memory allocation analysis can show wasteful or inefficient code, it can also reveal different problems, one of which we’ll examine in this blog post.

Java 205

Java Metrics Servers Code 205

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. Data silos.

Analytics 185

Analytics Strategy Storage Technology 185

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 214

Cloud Lambda AWS Analytics 214

Dynatrace

AUGUST 2, 2021

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.

Metrics 245

Metrics Analytics Google Code 245

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation.

Metrics 176

Metrics Analytics Software Architecture Open Source 176

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

JULY 11, 2023

Captures metrics, traces, logs, and other telemetry data in context. Smartscape topology mapping: Dynatrace uses its Smartscape technology to semantically map metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

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. Analyzing Prometheus metrics in Kubernetes is challenging. Unlocking the power of Prometheus metrics.

Metrics 176

Metrics Open Source Monitoring Analytics 176

Dynatrace

MARCH 12, 2024

If you can collect the relevant data (and that’s a big if), the problem shifts to analytics. Connecting data from different systems, stitching process steps together, calculating delays between steps, alerting on business exceptions and technical issues, and tracking SLOs are just some of the requirements for an effective analytics solution.

Processing 247

Processing Monitoring Analytics C++ 247

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. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics 210

Analytics Storage Infrastructure Metrics 210

Dynatrace

MARCH 18, 2024

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. In open source tradition, the Dynatrace OTel Collector distribution is free and available for everyone. Users can also filter telemetry data for all signals (traces, metrics, and logs).

Scalability 259

Scalability Open Source Analytics Innovation 259

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. That’s where causal AI can help. Causal AI is particularly effective in observability. How can organizations improve data quality?

Government 197

Government Analytics Benchmarking Storage 197

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 177

Metrics Open Source Traffic Cache 177

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. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MAY 5, 2020

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. Google Analytics.

Analytics 145

Analytics Metrics Google Tuning 145

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

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. It has undergone security analysis and testing in accordance with AWS requirements.

AWS 174

AWS Metrics Analytics Government 174

Dynatrace

AUGUST 17, 2023

With PurePath® distributed tracing, method hotspots, service flows, memory, and GC analysis, Dynatrace earned its reputation.Since then, Spring and Dynatrace have matured and improved, especially for containers, cloud integrations, and Kubernetes. Soon after, Dynatrace built a registry for exporting Micrometer metrics.

Metrics 194

Metrics Analytics Speed Java 194

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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. Predictive analytics can anticipate potential failures and security breaches.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

MARCH 6, 2024

Effortlessly analyze IBM i Performance with the new Dynatrace extension Dynatrace has created a new version of its popular extension that is faster, offers better interactive pages, and includes more metrics, metadata, and analytics without having to install anything on your mainframe infrastructure. It’s all monitored remotely !

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. Troubleshoot faster with quick, automated root-cause analysis within SAP and between SAP and non-SAP integrated domains.

Java 185

Java Analytics Best Practices Monitoring 185

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights. This AI also triggers automated remediation actions.

Best Practices 231

Best Practices Analytics Metrics Code 231

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 200

DevOps Metrics Engineering Analytics 200