Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 216

Google Cloud Serverless Innovation 216

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 225

AWS Lambda Artificial Intelligence Serverless 225

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. Watch webinar now!

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. IT automation, DevOps, and DevSecOps go together. Read eBook now!

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Put simply, AI is the framework that allows systems and devices to think like humans and perform tasks without direct oversight. Why machine learning falls short in cloud-native environments.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news.

Monitoring 188

Monitoring Artificial Intelligence DevOps Serverless 188

Dynatrace

JULY 7, 2022

But as IT teams increasingly design and manage cloud-native technologies, the tasks IT pros need to accomplish are equally variable and complex. In multicloud environments, IT teams often struggle to take timely action given a deluge of data and alerts for issues ranging from system performance, security risks, and application problems.

Artificial Intelligence 177

Artificial Intelligence Automotive DevOps Infrastructure 177

Dynatrace

JULY 5, 2022

AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Many companies combine second-generation application performance management (APM) solutions to collect and aggregate data with machine-learning-based AIOps tools that add analysis and execution. Aggregation.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

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. This keeps your business performing optimally before most users even notice a glitch.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

MAY 23, 2022

In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed.

Strategy 221

Strategy Innovation Cloud Serverless 221

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. Monitoring begins here. Span ingestion.

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

NOVEMBER 3, 2021

Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

Dynatrace

OCTOBER 13, 2021

Cloud infrastructure analysis ensures the secure configuration of cloud infrastructure including virtual machines, containers, cloud-hosted databases, and serverless services. API analysis examines vulnerabilities exposed in APIs, the method modern applications use to transfer data between endpoints and cloud-based applications.

Infrastructure 168

Infrastructure Open Source Virtualization Operating System 168

Dynatrace

JUNE 18, 2020

As the complexity of application and cloud environments increases exponentially, ITOps and DevOps teams are increasingly turning to AI to automatically monitor, analyze and report on the data that is collected. Automatically baseline performance and present findings on what can be improved. Dynatrace news. How could this be?

Monitoring 163

Monitoring Cloud DevOps Software 163

Dynatrace

MARCH 16, 2021

of organizations are now using cloud-native technologies and orchestration platforms such as microservices, containers, and Kubernetes to meet growing expectations from stakeholders, customers and employees. Consider data from our recent 2020 Global CIO Report , which found that 86. Which alerts demand priority response, and which can wait?

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle. Two approaches to AIOps.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

MAY 12, 2021

At Perform 2021 , Dynatrace’s own Sergio Hinojosa, Sales Engineer Manager EMEA, joined us to shed light on the advantages of automatic, AI-driven, end-to-end container observability, and the insight and control it gives teams over their Kubernetes environments. . Read eBook now! Unknown impact. Experience management.

Monitoring 181

Monitoring Infrastructure Open Source Metrics 181

Dynatrace

JUNE 9, 2021

Using the standard DevOps graphic, good application security should span the complete software development lifecycle. Source: Gartner, Defining Cloud Web Application and API Protection Services, Refreshed May 2020, Published 26 February 2019, Jeremy D’Hoinne and Adam Hils). Why is web application security important?

Open Source 179

Open Source Entertainment Tuning Internet 179

Testsigma

JUNE 15, 2021

Globally businesses have evolved from the conventional Waterfall model to the modern Agile and DevOps, thereby embracing digital transformation. In-sprint test automation works best for agile and DevOps teams or even teams that use hybrid methodologies. Cloud that can be scaled up and down according to your testing needs.

Testing 52

Testing DevOps Mobile Testing Tools 52

Dynatrace

JULY 31, 2020

OpenTelemetry is currently a Cloud Native Computing Foundation (CNCF) sandbox project with the ultimate goal of providing a unified set of vendor-agnostic libraries/APIs for collecting and sending data to compatible backends. OpenTelemetry provides a de-facto standard for adding observability to cloud-native applications.

Open Source 179

Open Source Metrics Google Java 179

Adrian Cockcroft

NOVEMBER 18, 2019

OPN220 Build robotic cloud simulations with ROS and AWS RoboMaker Join Camilo Buscaron, AWS Principal Open Source Technologist, and Katherine Scott, Developer Advocate, Open Robotics in this workshop to use Gazebo, a 3D simulator, and Robot Operating System (ROS) on AWS RoboMaker and learn how to spin up robotic simulations.

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN220 Build robotic cloud simulations with ROS and AWS RoboMaker Join Camilo Buscaron, AWS Principal Open Source Technologist, and Katherine Scott, Developer Advocate, Open Robotics in this workshop to use Gazebo, a 3D simulator, and Robot Operating System (ROS) on AWS RoboMaker and learn how to spin up robotic simulations.

Open Source 40

Open Source AWS Lambda Serverless 40

Dynatrace

JULY 31, 2020

OpenTelemetry provides a de-facto standard for adding observability to cloud-native applications. Th is means that companies don’t need to spend valuable time developing a mechanism for collecting critical application tele metry, and they can spend more ti me delivering new features. The post What is?OpenTelemetry??Everything

Open Source 130

Open Source Metrics Google Java 130