Dynatrace

NOVEMBER 20, 2024

This latest integration with Microsoft Sentinel expands our partnership, providing joint customers with a holistic view of their entire cloud environment; from application to infrastructure, data, and security. “As With Dynatrace, teams gain end-to-end observability and security across all workloads.

Best Practices 299

Best Practices Innovation Azure Cloud 299

Dynatrace

MAY 28, 2024

What about correlated trace data, host metrics, real-time vulnerability scanning results, or log messages captured just before an incident occurs? Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. This context is vital to understanding issues.

Analytics 267

Analytics Infrastructure Database Monitoring 267

Dynatrace

JUNE 26, 2024

This is where observability analytics can help. What is observability analytics? Observability analytics enables users to gain new insights into traditional telemetry data such as logs, metrics, and traces by allowing users to dynamically query any data captured and to deliver actionable insights.

Analytics 246

Analytics Infrastructure Metrics Efficiency 246

Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

JANUARY 21, 2025

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

OCTOBER 10, 2024

Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights. Infrastructure health: A honeycomb chart is often used to visualize infrastructure health.

Latency 246

Latency Infrastructure Monitoring Metrics 246

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. DevSecOps and SRE : Observability is not just the result of implementing advanced tools, but a foundational property of an application and its supporting infrastructure.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

APRIL 9, 2025

Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. The Infrastructure & Operations app provides an up-to-date and comprehensive view of monitored environments on Google Cloud.

Google 195

Google Cloud Infrastructure Analytics 195

Dynatrace

FEBRUARY 6, 2025

With Dashboards , you can monitor business performance, user interactions, security vulnerabilities, IT infrastructure health, and so much more, all in real time. Even if infrastructure metrics aren’t your thing, you’re welcome to join us on this creative journey simply swap out the suggested metrics for ones that interest you.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

Dynatrace

SEPTEMBER 30, 2022

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? IT teams have traditionally relied on internal metrics to estimate business impact. While analytics are one challenge, there remains another: silos.

Analytics 244

Analytics Best Practices Metrics IoT 244

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

OCTOBER 29, 2024

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. What’s behind it all?

Innovation 288

Innovation Cloud Strategy AWS 288

Dynatrace

JANUARY 22, 2025

Inefficient or resource-intensive runners can lead to increased costs and underutilized infrastructure. This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics. This customization ensures that only the relevant metrics are extracted, tailored to the users needs.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. Looking at the key metrics of the deployment does not reveal anything out of the ordinary.

Infrastructure 263

Infrastructure Latency Metrics Cloud 263

Dynatrace

DECEMBER 2, 2024

On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

SEPTEMBER 27, 2024

For Carbon Impact, these business events come from an automation workflow that translates host utilization metrics into energy consumption in watt hours (Wh) and into greenhouse gas emissions in carbon dioxide equivalent (CO2e). Some use cases benefit from dashboards or ad-hoc analytics, complementing the insights from Carbon Impact.

Energy 246

Energy Infrastructure Cloud Best Practices 246

Dynatrace

OCTOBER 4, 2022

However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. The only way to address these challenges is through observability data — logs, metrics, and traces. The next frontier: Data and analytics-centric software intelligence.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Only with Dynatrace Digital Busines Analytics.

Analytics 250

Analytics Artificial Intelligence Metrics Design 250

Dynatrace

MAY 4, 2021

Infrastructure complexity is costing enterprises money. AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. As 69% of CIOs surveyed said, it’s time for a “radically different approach” to infrastructure monitoring.

Infrastructure 245

Infrastructure Monitoring Artificial Intelligence Cloud 245

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 245

Analytics Ecommerce Metrics Innovation 245

Dynatrace

FEBRUARY 1, 2024

Infrastructure and operations teams must maintain infrastructure health for IT environments. To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. Traditional tools struggle with the intricacy of modern cloud services and containerized applications.

Infrastructure 245

Infrastructure Metrics Network Monitoring 245

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 246

Analytics Storage Retail DevOps 246

Dynatrace

JANUARY 12, 2022

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. With other products, we had to make guesses about the impacted services based solely on metrics”. The additional node and cluster metrics help you understand your entire RabbitMQ deployment, not just a specific queue.

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 246

Analytics Metrics Media Monitoring 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 245

Analytics Storage Retail DevOps 245

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 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 257

Infrastructure Monitoring Artificial Intelligence Open Source 257

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 246

Analytics Innovation Metrics Database 246

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

DECEMBER 9, 2020

HANA maintains all the business and analytics data that your business runs on. Enable the Davis AI causation engine to automatically analyze every metric. Captured metrics include infrastructure measures (CPU, Disk, and Network metrics) as well as details related to Backups, Savepoints, Replication, and more.

Infrastructure 246

Infrastructure Database Monitoring Metrics 246

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 257

Metrics Open Source Monitoring Analytics 257

Dynatrace

APRIL 4, 2025

In this blog post, youll learn how Dynatrace OneAgent automatically identifies Journald and ingests structured logs into Dynatrace while enriching them with topology and infrastructure context. For forensic log analytics use cases, the Security Investigator app benefits from the scalability and analytics power of Dynatrace Grail.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Bringing teams together around DevOps metrics made it easier for M&B to identify how it could create better digital experiences for its customers and optimize revenue. Dynatrace news. Beginnings of BizDevOps. Security integration.

DevOps 264

DevOps Metrics Virtualization Strategy 264

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. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. This capability allows users to gain more real-time insight into their Google Cloud infrastructure with AI-powered context to automate business and cloud operations decisions.

Google 246

Google Metrics Cloud Analytics 246