Dynatrace

FEBRUARY 13, 2020

Dynatrace news. So, full-stack observability and AI-powered answers are required to drive the precise answers organizations need. We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. Analysis and Anomaly Detection of Business KPIs.

Performance 238

Performance Analytics Mobile Innovation 238

Dynatrace

SEPTEMBER 17, 2019

Dynatrace news. Full-stack observability. Cluster and container Log Analytics. While this reads like a feature capability matrix of most monitoring and observability tool vendors there is a difference on how these capabilities integrate. PostgreSQL & Elastic for data storage. End-to-end code-level tracing.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. These details enable reliable generative AI recommendations. What is causal AI?

AWS 211

AWS Artificial Intelligence Analytics Cloud 211

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 263

Artificial Intelligence Analytics Metrics Storage 263

Dynatrace

APRIL 5, 2021

Dynatrace news. What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. How Azure Functions works.

Azure 137

Azure Serverless IoT Lambda 137

Dynatrace

APRIL 21, 2022

Dynatrace news. See what’s new in the Dynatrace version 1.239. end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Log data acquisition. Log data analysis. Log data alerting. Configuration API for AWS and Azure supporting services. Announcements.

Azure 218

Azure Metrics AWS Monitoring 218

Dynatrace

NOVEMBER 15, 2021

Dynatrace news. 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 analytics? What are logs?

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

APRIL 1, 2021

Dynatrace news. Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer.

Azure 173

Azure AWS DevOps Cloud 173

Dynatrace

AUGUST 12, 2020

Dynatrace news. AI-powered observability and end-to-end tracing of serverless applications. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure. Simplify error analytics.

Serverless 238

Serverless Azure Monitoring Lambda 238

Dynatrace

AUGUST 24, 2020

Dynatrace news. Observability and monitoring as a source of truth. To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format.

Analytics 243

Analytics Infrastructure AWS Operating System 243

Dynatrace

SEPTEMBER 29, 2021

Dynatrace news. Here are the main differences between Kubernetes vs. Here are the main differences between Kubernetes vs. Docker, their respective core domains, and some of the challenges involved in both technologies, like observability. Observability. How does advanced observability benefit Kubernetes and Docker Swarm?

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

AUGUST 12, 2020

Dynatrace news. AI-powered observability and end-to-end tracing of serverless applications. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure. Simplify error analytics.

Serverless 142

Serverless Azure Monitoring Lambda 142

Dynatrace

JUNE 15, 2021

Dynatrace news. The path to “Architected for Resiliency” is long, but it clearly pays off in the long run, especially when outages occur, as I want to show you in this blog post. Through the RUM data, Dynatrace’s AI engine, Davis, detected seven users were impacted by the outage when they tried to access the Web Interface.

AWS 192

AWS Traffic Architecture Azure 192

Dynatrace

NOVEMBER 17, 2020

Dynatrace news. New cloud-native technologies make observability more important than ever…. To quickly deploy new high-quality releases that deliver outstanding customer experiences and achieve your intended business outcomes, observability across all these technologies with distributed tracing is key.

Analytics 157

Analytics Technology Technology Cloud 157

Dynatrace

AUGUST 24, 2020

Dynatrace news. Observability and monitoring as a source of truth . To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Logs represent event data in plain-text, structured or binary format . Monitoring your i nfrastructure .

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

OCTOBER 1, 2021

Dynatrace news. As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. But what is observability? What is observability? What is the difference between monitoring and observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 5, 2022

Dynatrace news. This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. I, Andreas Grabner, helped to bring the blog to life! Any testing that’s done without getting insights with an observability platform or monitoring solution ends up consuming too much time to analyze problems.

Testing 220

Testing Open Source Metrics Infrastructure 220

Dynatrace

APRIL 22, 2022

Dynatrace news. As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. Multicloud observability enables IT teams to focus on what matters most. ski explains.

Cloud 170

Cloud Lambda Serverless AWS 170

Dynatrace

JUNE 1, 2021

Dynatrace news. Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. End-to-end observability of an application’s complete HTTP/S transactional behavior to understand the effect on business outcomes and user experience.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148