Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Metrics, logs , and traces make up three vital prongs of modern observability. Distributed cloud systems are complex, dynamic, and difficult to manage without the proper tools.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

SEPTEMBER 3, 2020

Azure Automation provides an extremely powerful set of tools for automating operations within enterprises on hybrid cloud. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. What is Azure Automation?

Azure 258

Azure Cloud Metrics Best Practices 258

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 258

Cloud Azure Analytics AWS 258

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ?

Software 246

Software Software Open Source Azure 246

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud-native is the preferred way of delivering applications. Dynatrace news.

Cloud 179

Cloud DevOps Strategy Monitoring 179

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

SEPTEMBER 29, 2021

In part one of this series , I talked through the common pain points software delivery teams face as they’re asked to support cloud adoption and modernization initiatives. For orientation on the use cases in this blog series, refer to the picture below. Blog series use cases. SLO/SLI configuration file example.

Software 197

Software Software Open Source DevOps 197

Dynatrace

APRIL 8, 2021

To gain greater agility, Porsche Informatik migrated to a containerized, hybrid cloud environment. But this approach introduced new complexity and a need for more advanced cloud monitoring capabilities. At Perform 2021, we were joined by Peter Friedwagner, Head of Infrastructure and Cloud Services at Porsche Informatik.

Cloud 224

Cloud Monitoring Automotive Infrastructure 224

Dynatrace

FEBRUARY 17, 2022

These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. I’ll make some assumptions, read multiple blog posts, and I need to run it myself a couple of times. The art—and science—of simplicity.

Technology 206

Technology Technology Cloud Infrastructure 206

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 207

Metrics Innovation Strategy Monitoring 207

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. Discover the benefits of a data lakehouse, how it works, and more.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

OCTOBER 14, 2020

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. A big part to the success within Dynatrace is that we use Dynatrace® across the software lifecycle on our own software projects. Dynatrace news.

Cloud 225

Cloud Development Open Source Monitoring 225

Dynatrace

APRIL 20, 2020

With Dynatrace Infrastructure Monitoring you get a complete solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. Thus, with Dynatrace Infrastructure Monitoring, you can now gain a more holistic understanding of the entire software environment that supports your digital business.

Infrastructure 150

Infrastructure Metrics Java Virtualization 150

Dynatrace

FEBRUARY 2, 2022

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Dynatrace SaaS availability on Azure helps the world’s largest organizations achieve this through enabling faster cloud adoption and more effective digital transformation.

Azure 319

Azure Availability Hardware Innovation 319

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 200

DevOps Metrics Engineering Analytics 200

Dynatrace

APRIL 8, 2021

To gain greater agility, Porsche Informatik migrated to a containerized, hybrid cloud environment. But this approach introduced new complexity and a need for more advanced cloud monitoring capabilities. At Perform 2021, we were joined by Peter Friedwagner, Head of Infrastructure and Cloud Services at Porsche Informatik.

Cloud 154

Cloud Monitoring Automotive Infrastructure 154

Dynatrace

APRIL 20, 2022

In October 2021, Dynatrace announced the availability of the Dynatrace Software Intelligence Platform on Google Cloud as a software as a service (SaaS) solution. Dynatrace and Google Cloud play a critical role in helping customers accelerate their digital transformation initiatives.

Google 239

Google Availability Cloud Infrastructure 239

Dynatrace

OCTOBER 20, 2020

You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. . Receive alerts for any custom metric events in your Azure Deployment Slots . Monitor and compare performance after slot swaps.

Azure 132

Azure Cloud Traffic Metrics 132

Dynatrace

NOVEMBER 10, 2021

Conventional approaches to application security can’t keep pace with cloud-native environments that rely on agile methodologies, API-driven architectures, microservices, containers, and serverless functions. Cloud Automation release validation with quality gates query service-level indicators and compare them against service-level objectives.

Serverless 209

Serverless DevOps Cloud Metrics 209

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 243

AWS Efficiency Azure Cloud 243

Dynatrace

NOVEMBER 3, 2023

The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. The result is a cloud-native approach to software delivery.

Engineering 208

Engineering DevOps Software Engineering Scalability 208

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 214

AWS Transportation Network Traffic 214

Dynatrace

JUNE 13, 2022

As organizations transition to the cloud and adopt DevSecOps practices, they can move more quickly and flexibly. They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Dynatrace news.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. Conventional (not built for cloud) monitoring tools are not much help. And then add in that modern enterprise cloud environments are dynamic and constantly changing.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

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. And serverless support is a core capability.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

JANUARY 16, 2020

One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis. Examine large data sets, applying statistical correlation to uncover patterns in observable behaviors, including metrics, events, logs, and alerts.

Cloud 155

Cloud Artificial Intelligence Virtualization Efficiency 155

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. APM solutions: A primer.

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Dynatrace

JANUARY 5, 2021

Red Hat OpenShift is a hybrid cloud platform. It offers automated installation, upgrades, and lifecycle management throughout the container stack – the operating system, Kubernetes and cluster services, and applications – on any cloud. OpenShift is an amazing platform for building and shipping cloud-native applications.

Cloud 259

Cloud Infrastructure Operating System Monitoring 259

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice.

DevOps 214

DevOps Innovation Cloud Programming 214

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

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 253

Open Source Metrics Analytics Tuning 253

Dynatrace

JANUARY 5, 2021

Red Hat OpenShift is a hybrid cloud platform. It offers automated installation, upgrades, and lifecycle management throughout the container stack – the operating system, Kubernetes and cluster services, and applications – on any cloud. OpenShift is an amazing platform for building and shipping cloud-native applications.

Cloud 240

Cloud Infrastructure Operating System Monitoring 240

Dynatrace

SEPTEMBER 29, 2021

Developed first at SoundCloud, the project became part of the Cloud Native Computing Foundation (CNCF) and has steadily become the industry standard for both containerized infrastructure and classic implementation scenarios , especially within Kubernetes clusters. You can query for metrics and transform results to gain desired insights.

Technology 207

Technology Technology Monitoring AWS 207

Dynatrace

OCTOBER 1, 2020

The Dynatrace Software Intelligence Platform gives you a complete Infrastructure Monitoring solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. Easily diagnose possible security breaches or software malfunctions. Network services visibility (DNS, NTP, ActiveDirectory).

Traffic 264

Traffic Network Infrastructure Artificial Intelligence 264

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 211

Analytics Storage Retail Monitoring 211

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies. Activities.

Software 96

Software Software Healthcare Mobile 96