Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 187

Cloud DevOps Open Source Retail 187

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. Check out the guide from last year’s event. What is a data lakehouse?

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. Enrich database performance KPIs with business analytics. There’s no need to manually configure necessary metrics or build dashboards.

Database 241

Database DevOps Analytics Servers 241

Dynatrace

JULY 25, 2022

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. A full list of metrics can be found here and include dimensions such as the following: Packets. Dynatrace is a leader in cloud observability. Log Metrics. Dynatrace news. Resource type. Why Dynatrace?

AWS 218

AWS Transportation Network Traffic 218

Dynatrace

JUNE 5, 2023

Whether it’s enterprise applications, web services, or cloud-based services, the LTM offers application-layer load balancing, SSL/TLS acceleration, and traffic shaping services. Manage and optimize the deployment and configuration of F5 BIG-IP appliances or virtual instances across multiple data centers or cloud environments.

Traffic 194

Traffic Virtualization Metrics Monitoring 194

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 255

Open Source Metrics Analytics Tuning 255

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Dynatrace news. Deeper visibility and more precise answers.

Azure 148

Azure Cloud Big Data Virtualization 148

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 229

AWS Lambda Artificial Intelligence Serverless 229

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 247

AWS Efficiency Azure Cloud 247

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Service reliability.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

NOVEMBER 22, 2021

These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. AWS: A service for everything.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

FEBRUARY 13, 2020

With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes. Ability to create custom metrics and events from log data, extending Dynatrace observability to any application, script or process.

Performance 236

Performance Analytics Mobile Innovation 236

Dynatrace

JULY 30, 2021

At Dynatrace we have been doing progressive delivery at cloud-scale for a while, and recently we observed an influx in queries from our community wanting to learn how Dynatrace can: Keep oversight in releases : which version(s) are deployed where and are any of them having problems? Having metrics with version information, e.g,

Cloud 232

Cloud Metrics Strategy Monitoring 232

Dynatrace

SEPTEMBER 18, 2020

It’s cliched to say that cloud adoption has changed everything in this race, but a full understanding of the intricacies of cloud-native applications is still rare. Cloud-based application architectures commonly leverage microservices. Looking at the key metrics of the deployment does not reveal anything out of the ordinary.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

SEPTEMBER 23, 2021

An increasing number of companies are using cloud solutions for faster operations, greater flexibility, and to provide their customers with the best customer experience. This creates complex, heterogeneous, and highly dynamic cloud-native environments. AI-powered analytics —Automatic root cause detection . Dynatrace news.

AWS 223

AWS Lambda Serverless Metrics 223

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. APM solutions track key software application performance metrics using monitoring software and telemetry data. Provide visual data for users to better understand the performance metrics.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

FEBRUARY 24, 2022

Some companies and industries must however comply with privacy rules and regulations that require them to keep their data in a private cloud or on-premises. The Local self-monitoring environment collects and aggregates all the self-monitoring metrics that are captured from the other environments on the cluster. Monitored Hosts?metric

Monitoring 195

Monitoring Metrics Analytics Processing 195

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

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model. DQL offers many options for analyzing logs, such as extracting metrics from historical data and charting or visualizing them.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

APRIL 6, 2022

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. Automatic root cause analysis for DevOps, cloud, and apps teams.

Lambda 166

Lambda AWS Serverless Infrastructure 166

Dynatrace

MAY 13, 2021

Establishing end-to-end observability insights for today’s highly dynamic and exceedingly complex cloud-native production environments represents an enormous challenge to IT operations and SRE teams who are responsible for ensuring that hundreds, or even thousands, of running services meet with agreed upon SLOs. Dynatrace news.

Java 156

Java Analytics Metrics Database 156

Dynatrace

JANUARY 28, 2021

OpenTelemetry for Go provides developers with an observability framework for cloud-native software, allowing them to instrument, generate, collect, and export telemetry data for relevant services. Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data).

Traffic 166

Traffic Open Source Servers Cloud 166

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 302

Engineering DevOps Innovation AWS 302

Dynatrace

AUGUST 5, 2020

Incumbent or startup, transforming or cloud-native, the role IT plays is central to the policyholder experience. BizDevOps: Connecting IT and business through shared metrics. Similarly, business teams rely on web analytics tools to understand user behavior and trends. Flawless is the goal; something less is likely the reality.

Analytics 140

Analytics Mobile Metrics DevOps 140

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 200

Infrastructure Database Monitoring Metrics 200

Dynatrace

APRIL 6, 2022

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. Automatic root cause analysis for DevOps, cloud, and apps teams.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

MARCH 11, 2020

Kubernetes events ingested into Dynatrace are subject to custom metric licensing and are free of charge during the Early Adopter release phase. In the near term, we’ll wrap up development of these features: Cloud application and workload analysis. What’s next.

Metrics 228

Metrics Analytics Monitoring Cloud 228

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

Dynatrace

JANUARY 13, 2021

This recognition follows Dynatrace’s top placement across recent G2 Grid® Reports, including AIOps Platforms , Cloud Infrastructure Monitoring , Container Monitoring , Digital Experience Monitoring , Session Replay and Application Performance Monitoring. Earned the AI Breakthrough Award for Best Overall AI-based Analytics Company.

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 191

Metrics Best Practices DevOps Infrastructure 191