Dynatrace

DECEMBER 8, 2020

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.

Cloud 306

Cloud Open Source Internet Internet 306

Dynatrace

MAY 17, 2023

We also introduced our demo app and explained how to define the metrics and traces it uses. The second part, The road to observability with OpenTelemetry part 2: Setting up OpenTelemetry and instrumenting applications , covers the details of how to set up OpenTelemetry in our demo application and how to instrument the services.

Metrics 243

Metrics Database Monitoring Network 243

Dynatrace

MARCH 12, 2025

Traditional debugging approaches, logs, and occasional remote breakpoint instrumentation cant easily keep pace with cloud-native AI deployments, where performance, compliance, and costs are all on the line. Predictive analytics that forecast AI resource usage and cost trends, letting you proactively manage budgets.

Metrics 165

Metrics Serverless Analytics Innovation 165

Dynatrace

JULY 11, 2019

I have been using it at my current tour through different conferences ( Devoxx , Confitura ) and meetups, ( Cloud Native , KraQA , Trojmiasto Java UG ) where I’ve promoted keptn. As I highlight the keptn integration with Dynatrace during my demos, I have rolled out a Dynatrace OneAgent using the OneAgent Operator into my GKE cluster.

Open Source 54

Open Source Metrics Monitoring Cloud 54

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 303

DevOps Innovation Infrastructure Cloud 303

Dynatrace

FEBRUARY 13, 2020

During his demo, Andreas Lehofer, Dynatrace Chief Product Officer, explained that with this announcement, Dynatrace has now broadened our coverage of AWS and Amazon services, and how logs-to-metrics conversion extends the benefits of our AI-powered monitoring and the value we deliver to customers.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

OCTOBER 2, 2024

Whether it’s cloud applications, infrastructure, or even security events, this capability accelerates time to value by surfacing logs that provide the crucial context of what occurred just before an error line was logged. Learn how Dynatrace can address your specific needs with a custom live demo.

Azure 244

Azure DevOps Infrastructure Cloud 244

Dynatrace

JULY 29, 2024

Security concerns are soaring with the rise of generative AI and cloud-native tech. The AI boom is pushing DevSecOps teams across industries to the limit as they struggle to secure increasingly complex cloud applications against expanding attack surfaces. AI observability accelerates AI benefits.

Analytics 245

Analytics Government DevOps Efficiency 245

Dynatrace

NOVEMBER 22, 2021

These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. Watch demo now!

Best Practices 246

Best Practices AWS Monitoring Serverless 246

Dynatrace

JUNE 28, 2022

With Dynatrace Cloud Automation and synthetic monitors, SREs can now rely on continuous validation of SLOs, presentation of the root cause when validation fails, and automatic problem remediation. DevOps teams can analyze user behavior analytics and, with Dynatrace Session Replay, video-like replay of individual user sessions.

Monitoring 246

Monitoring Software Software DevOps 246

Dynatrace

JULY 25, 2022

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. Dynatrace is a leader in cloud observability. Automate cloud operations and trigger remediation workflow to enhance efficiency. Dynatrace is committed to innovation and leading the way in cloud computing.

AWS 246

AWS Transportation Network Traffic 246

Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. In addition, Dynatrace effortlessly collects crucial DORA metrics, SLOs, and business analytics data via its robust unified data platform, Dynatrace Grail™. See for yourself.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

All Things Distributed

OCTOBER 25, 2018

Expanding the AWS Cloud—An AWS Region is coming to South Africa! Many of our startup customers in Africa are leveraging the AWS Cloud to grow into successful global businesses. In Cape Town, AWS works with organizations such as Demo Africa, LaunchLab, Mzansi Commons, and Silicon Cape as well as co-working hubs, such as Workshop17.

AWS 167

AWS Cloud Education Programming 167

Dynatrace

SEPTEMBER 7, 2022

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. In a hybrid cloud ecosystem, digital assets can reside anywhere in the cloud and on premises. Check out our Power Demo: Log Analytics with Dynatrace.

Traffic 246

Traffic AWS Network Cloud 246

Dynatrace

JUNE 28, 2021

Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. Cloud services, mobile applications, and microservices-based application environments offer unparalleled flexibility for developers and users.

Infrastructure 257

Infrastructure Monitoring Artificial Intelligence Open Source 257

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? Let Dynatrace help you with your Canary Deployments.

Cloud 246

Cloud Metrics Strategy Monitoring 246

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 246

Metrics Analytics Speed Java 246

Dynatrace

AUGUST 7, 2023

Observability for effective DevSecOps Traditional approaches to application security can fail to keep up with the complexity of cloud-native environments and rapid software release cycles. However, as more organizations adopt cloud-native environments, log data alone isn’t enough to detect critical evidence of exploitation activity.

DevOps 246

DevOps Analytics Best Practices Java 246

Dynatrace

FEBRUARY 28, 2024

The burgeoning reliance on cloud technology stacks amplifies this challenge, creating hurdles due to budgetary constraints, time limitations, and the potential risk of human errors. Contact us to schedule a demo and we’ll walk you through the various workflows, JavaScript tasks, and the dashboards discussed in this blog series.

DevOps 264

DevOps Metrics Engineering Analytics 264

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Read on below to explore all the benefits of Dynatrace monitoring by examining our demo Azure Functions application. Optimize timing hotspots.

Serverless 246

Serverless Azure Monitoring Lambda 246

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. PC, smartphone, server) or virtual (virtual machines, cloud gateways). One of the key advantages of DEM is its versatility. Primary digital experience monitoring tools.

Monitoring 246

Monitoring Social Media IoT Metrics 246

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. Capture all real user sessions to enable Dynatrace Digital Experience and Business Analytics use cases. Then select the Extensions 2.0 as shown below. Get proactive insights now.

Monitoring 246

Monitoring Metrics Analytics Processing 246

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Read on below to explore all the benefits of Dynatrace monitoring by examining our demo Azure Functions application. Optimize timing hotspots.

Serverless 217

Serverless Azure Monitoring Lambda 217

Dynatrace

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. Organizations are increasingly turning to these cloud environments to stay competitive, remain agile, and grow. Without visibility, application performance and security are easily compromised.

Analytics 246

Analytics Metrics Cloud Systems 246

Dynatrace

NOVEMBER 15, 2021

But cloud transformation makes detecting the epicenter of a failure much more challenging, as outages can be caused by your cloud provider, a third party helping deliver personalized experiences, your content delivery network (CDN), and many other services you may be leveraging. Watch webinar now! The post What is digital experience?

Mobile 246

Mobile Social Media Monitoring Metrics 246

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

MAY 23, 2022

According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. PurePath also supports the latest cloud-native architectures.

Architecture 263

Architecture DevOps Monitoring Programming 263

Dynatrace

SEPTEMBER 17, 2019

But every organization I talked with, that is engaged in a k8s project, told me that in order for them to truly leverage k8s as a cloud native platform you need ALL of the following “ Monitoring as a Self-Service Capabilities ” (MaaSS) which aren’t covered by any of the open source or platform offerings: K8s cluster and pod health monitoring.

AWS 170

AWS Monitoring Ecommerce Lambda 170

Dynatrace

JUNE 1, 2021

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Why cloud-native applications make APM challenging. Cloud-native apps also produce many kinds of data.

Monitoring 165

Monitoring Mobile Social Media Infrastructure 165

Dynatrace

NOVEMBER 3, 2021

Distributed tracing is a way of observing requests as they move through distributed cloud environments. An application may depend on multiple services, each with its own set of metrics and logs. In these complex systems, traces highlight any problems that can happen with the relationships among services.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Tasktop

APRIL 30, 2019

Whether it’s a result of different teams or lines of business within the same company on separate instances, or even a merger or acquisition, you see different flavors of the multi-Jira architecture: Split across Jira server and Jira Cloud. Split across Jira Data Center and Jira Cloud instances.

Servers 71

Servers Cloud Analytics Architecture 71

Testsigma

NOVEMBER 11, 2020

The QA teams should use a robust reporting and analytics solution in order to achieve fast feedback and enhance the overall productivity of the team by working on the data lags. Better yet – is the option or make use of a cloud-based lab having real devices to test your applications. Book a Demo. Upfront Investment.

Testing 85

Testing Mobile Network Analytics 85

All Things Distributed

MARCH 24, 2011

The images from the 2008 TNW Conference have travelled around the world in my Animoto demo: This year TNW is showing that it is not just a conference for talkers but also for builders by organizing a massive Hackaton in the two days running up to the conference. Expanding the Cloud - The AWS Storage Gateway. Expanding the Cloud â??

AWS 74

AWS Internet Internet Storage 74

ScaleOut Software

AUGUST 25, 2020

A Demo Application Shows How Companies Can Track COVID-19 Contacts Within Companies. In this post, we’ll take a closer look at its implementation in a demo application created by ScaleOut Software. The demo application creates a memory-based real-time digital twin for each employee. C# was used for the demo application.)

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

A Demo Application Shows How Companies Can Track COVID-19 Contacts Within Companies. In this post, we’ll take a closer look at its implementation in a demo application created by ScaleOut Software. The demo application creates a memory-based real-time digital twin for each employee. C# was used for the demo application.)

Airlines 52

Airlines Mobile Analytics C++ 52

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 136

Open Source Google Artificial Intelligence Infrastructure 136

Tasktop

AUGUST 8, 2019

Because Hub is primarily an on-premises (desktop) application, we aren’t able to glean insights from usage data as we could with a cloud application. Without a way to track anonymous click path analytics across our on-prem users, usability testing became a central method for obtaining user research to shape our product design.

Programming 56

Programming Testing Government Design 56