Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog.

Strategy 224

Strategy Innovation Cloud Serverless 224

Dynatrace

APRIL 11, 2023

As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it. What is vulnerability management? For many IT teams, application vulnerabilities remain a key challenge. Learn more.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

JANUARY 23, 2024

In what follows, we explore these key cloud observability trends in 2024. Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs. What is explainable AI?

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. What is vulnerability management? And why runtime vulnerability detection makes the difference – blog Vulnerability management is an essential part of securing IT operations.

DevOps 184

DevOps Analytics Best Practices Java 184

The Netflix TechBlog

NOVEMBER 17, 2022

In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. The following diagram shows a top-down view of how the deep downscaler was integrated within a Cosmos encoding microservice. A Cosmos encoding microservice can serve multiple encoding workflows.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

MAY 24, 2023

What is Azure Linux? Pod and workload overview to quickly identify unexpected differences in application and microservice instances. To learn more about Azure Linux container host for AKS read Microsoft’s blog. Microsoft initially designed the OS for internal use to develop and manage Azure services. Performance.

Azure 226

Azure Monitoring Operating System Virtualization 226

The Netflix TechBlog

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

NOVEMBER 3, 2023

This blog wil cover the importance of platform engineering, the role of a platform engineer, and where the practice is heading in the future. This realization has led to an increased organizational use of microservices to shift away from traditional product teams in favor of teams that apply platform engineering principles.

Engineering 211

Engineering DevOps Software Engineering Scalability 211

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. What are microservices? Microservices are : Easily testable.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. What are microservices? Microservices are : Easily testable.

Architecture 244

Architecture Software Software Development 244

The Netflix TechBlog

APRIL 27, 2023

Data expressions define what data needs to be sourced in order to evaluate a query. The internals here are outside the scope of this blog post. Today, we run 20X the number of queries we used to run a few years ago, with ease and at a fraction of what it would have cost to scale up the Atlas storage layer to serve the same volume.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. In order to figure out what was really going on, I “cheated” and deployed Dynatrace. What it would have failed to answer is what is causing long garbage collection.

Metrics 197

Metrics Architecture Engineering Cloud 197

Dynatrace

NOVEMBER 8, 2021

But what differentiates one APM offering from another? And what criteria should business leaders keep in mind when evaluating APM vendors? 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: A primer. .”

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

SEPTEMBER 18, 2020

As in any race, sustainable advantage requires extensive preparation and attention to what’s under the hood. Cloud-based application architectures commonly leverage microservices. Well-defined APIs are required for managing such microservices and tracking changes in their performance. The technology race never stops.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

FEBRUARY 13, 2020

Helping customers navigate the increasing complexity of the enterprise IT environment to achieve success in their industries and careers, while empowering them to deliver amazing digital experiences, is why we reinvented the Dynatrace platform five years ago, and what continues to inspire us. Expanded Kubernetes Support.

Performance 235

Performance Analytics Mobile Innovation 235

Dynatrace

OCTOBER 28, 2021

What is chaos engineering? The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Hypothesis.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

Dynatrace

FEBRUARY 10, 2022

As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. All in one place, all in context, and all tied wo what it means for your business.”. Dynatrace news. That ushers in IT complexity. For our complete?

Artificial Intelligence 185

Artificial Intelligence Performance Innovation Speed 185

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. But what are SLOs? What are SLAs, SLOs, SLIs, and error budgets? What are SLAs? What are SLOs?

Metrics 190

Metrics Best Practices DevOps Infrastructure 190

Dynatrace

MARCH 27, 2024

This can quickly become overwhelming and hard to manage in today’s complex microservice environments. What to consider when adding ownership information Introducing ownership information requires several simple steps and typically depends on the desired application.

Best Practices 199

Best Practices Azure Database Code 199

Dynatrace

MAY 12, 2021

With containers now the common framework for deploying microservices-based applications at scale, the need for robust management tools is also on the rise. “It will tell you what the problem is, how many users were affected along with the root cause.” Dynatrace news. But who watches the watchers? Missing relationships.

Monitoring 184

Monitoring Infrastructure Open Source Metrics 184

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). Dynatrace news. Challenges of scaling performance engineering affect speed, quality, and scale.

Engineering 199

Engineering Testing Performance Performance Testing 199

Dynatrace

AUGUST 29, 2022

What is release validation? While this may work for monolithic applications or environments with infrequent releases, this simply does not scale for today’s modern cloud-native environments that are based on microservices-based architectures where new releases occur more frequently from days to hours to minutes.

DevOps 208

DevOps Benchmarking Cloud Monitoring 208

Dynatrace

APRIL 10, 2020

However, at the end of the day, application and platform teams have two primary questions: What applications and workloads are running in my Kubernetes environments? However, at the end of the day, application and platform teams have two primary questions: What applications and workloads are running in my Kubernetes environments?

Cloud 168

Cloud Metrics Availability Technology 168

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. If so, what is the root cause and suggested remediation? Dynatrace news. Contextualization is one of the biggest challenges of observability.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

AUGUST 2, 2022

Learn more about securing modern applications and infrastructure, and how to integrate security into your DevSecOps initiative with the following resources: What is DevSecOps? – blog. Security as code demands proactive DevSecOps – blog. DevOps vs. DevSecOps – blog. Dynatrace news. Learn how security improves DevOps.

DevOps 130

DevOps Strategy Open Source Java 130

Dynatrace

JULY 29, 2022

What is log analytics? While an error message or application alert will signal that something has gone wrong, it often requires an investigation to identify what exactly happened, in which part of the system, and how so teams can take action. What are the use cases for log analytics? What are the challenges of log analytics?

Analytics 214

Analytics Storage Retail DevOps 214

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. What stands out as an imperative now is the urgent need for vendors to shift their focus back to customers and resist the temptation to capitalize on the growing demand for extensive data management and monitoring in complex IT environments.

Retail 236

Retail Storage Best Practices Architecture 236

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. The post Automated DevSecOps release validation ensures security by default appeared first on Dynatrace blog. Dynatrace news.

Serverless 212

Serverless DevOps Cloud Metrics 212

Dynatrace

AUGUST 26, 2020

Teams are tasked with m anaging cloud, hybrid cloud, and multicloud environments with thousands of containers and microservices that come and go in seconds and spanning billions of interdependencies. Stories like these are what keep us going. Dynatrace news.

Engineering 302

Engineering DevOps Innovation AWS 302

Dynatrace

APRIL 8, 2021

However, this created a challenge in terms of the highly dynamic environment, as distributed applications across microservices have dependencies which really cut across different teams, and this led to challenges to resolve issues quickly.”. Friedwagner explained how. Curbed by complexity. “We Simplifying complexity with cloud monitoring.

Cloud 226

Cloud Monitoring Automotive Infrastructure 226

Dynatrace

SEPTEMBER 8, 2022

What is log management? Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system. Dynatrace news. Most infrastructure and applications generate logs. These two processes feed into one another.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

MARCH 14, 2022

With containers, microservices, applications, and other components that are constantly broken down and rebuilt as part of the software development lifecycle (SDLC), IT teams struggle to identify true issues and deliver software that enables doctors and nurses to deliver care. Overwhelming complexity. Compliance.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Dynatrace

SEPTEMBER 2, 2020

The scope and scale of these environments are beyond human capacity to manage, with millions to billions of microservices coming and going each second in container-based architectures across multiple clouds. This approach relies on pre-built models to determine what is related in a given data set. It’s an educated guess.

Education 179

Education Strategy Innovation Website 179

Dynatrace

JULY 29, 2022

What is log analytics? While an error message or application alert will signal that something has gone wrong, it often requires an investigation to identify what exactly happened, in which part of the system, and how so teams can take action. What are the use cases for log analytics? What are the challenges of log analytics?

Analytics 181

Analytics Storage Retail DevOps 181

Dynatrace

FEBRUARY 28, 2022

So, what is driving this increased excitement for DTU? Their customers can easily focus on exactly what is needed to include Dynatrace in their daily activities, deployment observability, and performance awareness. Over the last couple of years, the popularity of virtual learning has skyrocketed, and it is not just here at Dynatrace.

Virtualization 199

Virtualization Education Cloud Monitoring 199

Dynatrace

JULY 6, 2022

So, what is IT automation? And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? What is IT automation? As digital services become more complex and numerous, organizations need IT automation to address the challenges of maintaining those services.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

SEPTEMBER 16, 2019

If you want to read more about what ACM is and how it came to be, please check my other blog post where I talk about the concepts and Dynatrace’s own journey. What is an Autonomous Cloud Lab? What does an ACL look like? Does this all sound a bit overwhelming? Not sure where to start? We at Dynatrace understand that.

Cloud 136

Cloud Education Monitoring Software Architecture 136