Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services.

Systems 180

Systems Cloud Analytics DevOps 180

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. Watch webinar now!

DevOps 225

DevOps Innovation Infrastructure Analytics 225

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Another big advantage of automation-as-code is the scale at which automation is enabled.

Cloud 167

Cloud DevOps Code Open Source 167

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 189

DevOps Testing Monitoring Speed 189

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end.

Development 255

Development DevOps Programming Cloud 255

Dynatrace

DECEMBER 14, 2023

Weaving security into the fabric of your DevOps practice prevents breaches and ensures the delivery of secure digital services. Dynatrace provides powerful AI-based observability, putting all your infrastructure, applications, and events in context. It’s a one-stop-shop for enhancing your cloud security,” he said.

AWS 254

AWS Innovation Speed Efficiency 254

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 294

Open Source Traffic DevOps Cloud 294

Dynatrace

JULY 12, 2022

“We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company. AIOps and observability for infrastructure management. It’s not easy to see what’s going on within your environment.”

Innovation 212

Innovation Infrastructure DevOps Azure 212

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Creating an SLO dashboard for Business, DevOps, and SREs. Watch webinar now! Dynatrace news.

DevOps 197

DevOps Social Media Mobile Metrics 197

Dynatrace

APRIL 21, 2023

As an application architect, Smith noted it was challenging to ensure software quality and performance when making large-scale changes, including a cloud infrastructure migration and front-end modernization to their unemployment insurance application. Register to listen to the webinar. The stakes were high.

Government 197

Government Strategy Cloud Traffic 197

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. Enter causal AI.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 118

Cloud Serverless AWS Storage 118

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Over the past 18 months, the need to utilize cloud architecture has intensified.

Artificial Intelligence 173

Artificial Intelligence DevOps Performance Games 173

Dynatrace

MAY 21, 2021

If you are wondering what a service mesh is and whether you would benefit from having one, you likely have a mature Kubernetes environment running large cloud-native applications. A service mesh is a dedicated infrastructure layer built into an application that controls service-to-service communication in a microservices architecture.

Traffic 234

Traffic DevOps Infrastructure Network 234

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.

Lambda 174

Lambda Monitoring Cloud DevOps 174

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

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 203

AWS Artificial Intelligence Analytics Cloud 203

Dynatrace

MAY 27, 2021

In my previous article about continuous integration and continuous delivery (CI/CD) , I defined CI/CD and explained how these practices work together to help DevOps teams deliver quality software faster. This rapid feedback enables developers to stay focused on innovation instead of managing infrastructure. Dynatrace news.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 218

Engineering Entertainment Cloud Infrastructure 218

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. Serverless platforms. Service mesh.

Architecture 192

Architecture Serverless Azure Programming 192

Dynatrace

DECEMBER 2, 2021

Watch webinar now! SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. SLOs allow DevOps teams to predict the problems before they occur and especially before they impact customers.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Cost optimization. Operational excellence.

Azure 181

Azure Monitoring Virtualization Metrics 181

Dynatrace

OCTOBER 15, 2021

As a Cloud Native Computing Foundation (CNCF) incubating project, OTel aims to provide unified sets of vendor-agnostic libraries and APIs — mainly for collecting data and transferring it somewhere. Capturing data is critical to understanding how your applications and infrastructure are performing at any given time. Watch webinar now!

Open Source 212

Open Source Metrics Cloud Transportation 212

Dynatrace

DECEMBER 22, 2021

Observability platforms are becoming essential as the complexity of cloud-native architectures increases. As a result, teams can gain full visibility into their applications and multicloud infrastructure. As applications have become more complex, observability tools have adapted to meet the needs of developers and DevOps teams.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

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 205

Artificial Intelligence DevOps Innovation Metrics 205

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. To learn more about performance monitoring in your organization’s hybrid multicloud, check out our on-demand webinar Network & infrastructure performance monitoring of your hybrid multi-cloud , and begin your journey to full-environment observability today.

Monitoring 171

Monitoring Latency Metrics Availability 171