Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications.

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice? Transparency and scalability.

Infrastructure 177

Infrastructure Code Cloud DevOps 177

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Synthetic monitors can be created with our innovative web recorder or through MONACO , our Monitoring-As-Code approach.

Monitoring 206

Monitoring Software Software DevOps 206

Dynatrace

JUNE 11, 2019

To explore this issue, we asked participants the following question: Which of your teams have access to production monitoring data? Three quick conclusions: 1) More than 80% of the respondents claim that their Development teams have access to production monitoring data. Production monitoring data: The lifeblood of cross-talented teams.

Innovation 196

Innovation Monitoring Metrics Strategy 196

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Why monitor Azure Linux container host for AKS? How Can Dynatrace Monitor Azure Linux container host for AKS?

Azure 231

Azure Monitoring Operating System Virtualization 231

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.

Azure 221

Azure Cloud Metrics Innovation 221

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. With higher demand for innovation, IT teams are working diligently to release high-quality software faster. But this task has become challenging. “The

Engineering 250

Engineering DevOps Innovation Storage 250

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. What is AWS observability?

Best Practices 217

Best Practices AWS Monitoring Serverless 217

Dynatrace

FEBRUARY 16, 2023

Metrics on Grail “Metrics are probably the best understood data type in observability ,” says Guido Deinhammer, CPO of infrastructure monitoring at Dynatrace. Traces on Grail Traces are another area where cloud-native technologies have complicated application and microservices monitoring.

Analytics 191

Analytics Innovation Metrics Database 191

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. What is log monitoring? Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Monitor your serverless applications with just two clicks.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLO monitoring and alerting on SLOs using error-budget burn rates are critical capabilities that can help organizations achieve that goal. What is SLO monitoring? And what is an error budget burn rate?

Monitoring 190

Monitoring DevOps Metrics Innovation 190

Dynatrace

APRIL 8, 2021

But this approach introduced new complexity and a need for more advanced cloud monitoring capabilities. Dynatrace’s cloud monitoring capabilities are helping Porsche Informatik to simplify complexity and drive improved digital experiences for customers. Simplifying complexity with cloud monitoring. The key value of Dynatrace.

Cloud 231

Cloud Monitoring Automotive Infrastructure 231

The Netflix TechBlog

OCTOBER 27, 2021

Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform tl;dr Today, we are open-sourcing a long-awaited GUI for Metaflow. The Metaflow GUI allows data scientists to monitor their workflows in real-time, track experiments, and see detailed logs and results for every executed task. just to complement them.

Open Source 222

Open Source Monitoring Scalability Code 222

Dynatrace

OCTOBER 17, 2019

And with today’s increasing financial, availability, performance and innovation requirements meaning applications need to be geographically dispersed to constantly changing dynamic powerhouses, it has become simply not possible to provision, update, monitor and decommissions them by only leveraging manual processes.

Code 110

Code Infrastructure DevOps Serverless 110

Dynatrace

JUNE 20, 2023

While these frameworks use a declarative syntax to simplify the codebase and expedite development lifecycles, they also introduce new challenges in monitoring the user experience of mobile apps. This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers.

Mobile 269

Mobile Monitoring Entertainment Innovation 269

Dynatrace

FEBRUARY 1, 2024

Business innovation costs money. But organizations may not always have insight into how their moves toward innovation generate costs as well as revenue. Every dollar we spend on cloud [infrastructure] is a dollar less we can spend on innovation and customer experience,” said Matthias Dollentz-Scharer, Dynatrace chief customer officer.

Cloud 216

Cloud Energy Innovation Infrastructure 216

Dynatrace

JUNE 16, 2020

For many organizations, these back-end technology layers reveal blind spots in their current approach to monitoring. Spotty monitoring coverage makes it hard to identify, analyze, and resolve performance problems, which can endanger key business transactions and impact users.

Innovation 152

Innovation Metrics Infrastructure Programming 152

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. OneAgent automatic injection of monitoring and tracing code works not only for the NodeJS language binding but also when using the raw HTTPS request in NodeJS.

Monitoring 168

Monitoring Latency Metrics Azure 168

Dynatrace

MAY 2, 2024

In fact, according to the recent Dynatrace survey, “ The state of AI 2024 ,” 95% of technology leaders are concerned that using generative AI to create code could result in data leakage and improper or illegal use of intellectual property. Despite this risk, organizations face mounting pressure to innovate faster and on a larger scale.

Artificial Intelligence 235

Artificial Intelligence Cloud Best Practices DevOps 235

Apica

JUNE 8, 2022

Apica’s synthetic monitoring platform is the most capable solution on the market today, and the industry is sitting up and taking notice. We’re proud to announce that Apica has won the 2022 Digital Innovator Award from Intellyx. Apica’s platform combines active monitoring with load testing to solve these digital performance challenges.

Innovation 52

Innovation Monitoring Infrastructure Cloud 52

Dynatrace

APRIL 8, 2021

But this approach introduced new complexity and a need for more advanced cloud monitoring capabilities. Dynatrace’s cloud monitoring capabilities are helping Porsche Informatik to simplify complexity and drive improved digital experiences for customers. Simplifying complexity with cloud monitoring. The key value of Dynatrace.

Cloud 156

Cloud Monitoring Automotive Infrastructure 156

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Every component has its own siloed cloud monitoring tool, with its own set of data. The blame game.

Cloud 158

Cloud Monitoring Latency Games 158

Dynatrace

JANUARY 26, 2024

“The Office of Management and Budget (OMB) is seeking to make certifications easier, and agencies will probably see a faster pace of authorizations in the second quarter of calendar year 2024,” said Ross Nodurft, policy expert and executive director of the Alliance for Digital Innovation. Watch the event on-demand now!

Government 218

Government Artificial Intelligence Innovation Programming 218

Dynatrace

OCTOBER 28, 2020

The Dynatrace Software Intelligence Platform provides you with so much more monitoring functionality. This means that your entire IT infrastructure can be monitored within minutes. This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort.

Monitoring 148

Monitoring Systems Infrastructure Cloud 148

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Monitor your serverless applications with just two clicks.

Serverless 143

Serverless Azure Monitoring Lambda 143

Dynatrace

NOVEMBER 7, 2023

Furthermore, a centralized Kubernetes management view offers extended centralized monitoring and alerting capabilities, particularly for node failure incidents. Additionally, users benefit from the Dynatrace Davis ® AI engine, which offers proactive monitoring capabilities like real-time tracking and alerting for critical health signals.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud. Certainly, this is true for us.

Energy 239

Energy Cloud Airlines Strategy 239

Dynatrace

NOVEMBER 2, 2020

This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more. What is infrastructure monitoring? . What to look for when selecting an infrastructure monitoring solution?

Infrastructure 206

Infrastructure Monitoring Virtualization Serverless 206

Dynatrace

DECEMBER 18, 2023

T he testing stage plays a crucial role in ensuring the quality of newly built code through the execution of automated test cases. Testing includes integration tests, which assess whether the code functions as intended when interacting with other services and application functionalities.

Testing 256

Testing Best Practices Performance Testing Engineering 256

Dynatrace

SEPTEMBER 22, 2022

Automating tasks throughout the SDLC helps software development and operations teams collaborate while continuously improving how they design, build, test, deploy, release, and monitor software applications. Change failure rate is the percentage of DevOps code changes that lead to failure in production. Cultural shift.

DevOps 193

DevOps Innovation Speed Monitoring 193

Dynatrace

DECEMBER 14, 2023

Modern solutions like Snyk and Dynatrace offer a way to achieve the speed of modern innovation without sacrificing security. This innovative solution combines Snyk Container and Dynatrace observability data to provide comprehensive reporting—highlighting which running containers have undergone Snyk Container scans.

AWS 267

AWS Innovation Speed Efficiency 267

Dynatrace

DECEMBER 2, 2020

As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. Where traditional monitoring falls flat. The architects and developers who create the software must design it to be observed.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

Dynatrace

OCTOBER 1, 2021

Although some people may think of observability as a buzzword for sophisticated application performance monitoring (APM) , there are a few key distinctions to keep in mind when comparing observability and monitoring. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. What is Lambda? What is Lambda SnapStart?

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Poorly designed cloud solutions can become costly over time.

Best Practices 238

Best Practices Strategy Cloud AWS 238

Dynatrace

AUGUST 30, 2023

Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting. kubectl apply -f example.yml After applying the Dynakube definition, you must label the namespaces you wish to monitor with the selector we defined.

Google 225

Google Cloud Innovation Infrastructure 225