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 246

Architecture Software Software Development 246

DZone

SEPTEMBER 28, 2023

Cloud and microservices changed the world. Guaranteeing software quality was much easier because the deployment happened rarely, and things could be captured on time via automated tests. Things are scattered across various components, applications, queues, service buses, and databases.

Database 276

Database Software Engineering Cloud Software 276

Dynatrace

MARCH 6, 2024

Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. and reduces the complexity of things such as reading a new app or service. . and reduces the complexity of things such as reading a new app or service. Service-level objectives (SLOs) are similarly important.

Engineering 248

Engineering Development DevOps Infrastructure 248

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 can solve these problems, but it can also introduce its own issues. What is a service mesh? Why do you need a service mesh?

Traffic 250

Traffic DevOps Infrastructure Network 250

Dynatrace

SEPTEMBER 26, 2022

These crucial enhancements provide significant advantages in meeting your Kubernetes performance goals while avoiding potential service disruptions. Inadequately tested container images deployed to production. Here you see the incident and its impact on users and microservices. Changes in workload resource requests and limits.

Storage 307

Storage Engineering Traffic Infrastructure 307

Dynatrace

JANUARY 14, 2022

Kubernetes microservices applications are a striking example of the complexity of today’s modern application and IT stacks. To illustrate how Akamas approach works for Kubernetes microservices applications the webinar, the example of Google Online Boutique is used during the webinar. The Akamas approach. lower than 2%.).

Latency 212

Latency Tuning Efficiency AWS 212

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. How message queuing benefits microservices. Message queues coordinate microservices in a distributed application.

Monitoring 208

Monitoring Serverless Programming Speed 208

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. How message queuing benefits microservices. Message queues coordinate microservices in a distributed application.

Monitoring 207

Monitoring Serverless Programming Speed 207

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. You can read more about this in our previous posts here: part 1 , part 2. It was a Node.js

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JANUARY 16, 2023

The rapid adoption is driven—and challenged by—an ever-growing ecosystem of Kubernetes technologies that add advanced platform features, such as security, microservice communications, observability, scaling, resource utilization, and so on. This Kubernetes survey shows how organizations actually use Kubernetes in production.

Open Source 348

Open Source Java Operating System Programming 348

Dynatrace

NOVEMBER 10, 2022

Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. Microservices. These loosely coupled, lightweight services typically perform a single function and can be chained together into an application. Service mesh.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JUNE 15, 2023

However, implementing these practices within DevSecOps teams can often be extremely challenging for complex, microservices-based, cloud-native applications. Cloud application security is a shared responsibility between the cloud service provider and the organization using the services. What is cloud application security?

Cloud 184

Cloud Open Source Architecture Monitoring 184

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. The backend for the streaming product utilizes a highly distributed microservices architecture; hence these migrations also happen at different points of the service call graph. This approach has a handful of benefits.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

NOVEMBER 3, 2023

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.

Engineering 220

Engineering DevOps Software Engineering Scalability 220

The Netflix TechBlog

OCTOBER 19, 2020

Distributed Tracing: the missing context in troubleshooting services at scale Prior to Edgar, our engineers had to sift through a mountain of metadata and logs pulled from various Netflix microservices in order to understand a specific streaming failure experienced by any of our members.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. Implementing service-level objectives (SLOs) has become a vital method for meeting service-level agreements that ensure great user experiences.

Software 272

Software Software Benchmarking Latency 272

DZone

OCTOBER 9, 2020

Application development has evolved, and therefore new needs have arisen when it comes to testing and new tools to deal with them. We have gone from having monolithic architectures to applications based on (micro) services. Why do I say (micro) services instead of microservices? Let’s take a look!

Testing 190

Testing Architecture Development Software 190

Dynatrace

OCTOBER 28, 2021

Testing for mishaps you can predict is essential. Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.

Engineering 233

Engineering Entertainment Cloud Infrastructure 233

Dynatrace

OCTOBER 10, 2022

This platform should also support automated release monitoring and validation, and correlate build, test, deployment, and operational data in context for rich analysis. It contains individual solutions that focus on establishing the following: Service-Level Objectives (SLOs). Releases overview. Dashboards for DevOps and SREs.

Best Practices 226

Best Practices DevOps Cloud Strategy 226

The Netflix TechBlog

NOVEMBER 17, 2022

Through our experimentation, involving objective measurements and subjective visual tests, we found that the deep downscaler improves quality across various conventional video codecs and encoding configurations. Our A/B tests showed QoE improvements without any adverse streaming impact. over the traditional Lanczos downscaling.

Network 292

Network Media Innovation Efficiency 292

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). Current challenges with performance testing.

Engineering 208

Engineering Testing Performance Performance Testing 208

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. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective. AIOps use cases. Achieving autonomous operations.

DevOps 204

DevOps Artificial Intelligence Healthcare Innovation 204

Dynatrace

DECEMBER 8, 2022

Rob Jahn, Dynatrace senior technical partner manager, and Andreas Grabner, Dynatrace DevOps activist discussed the role of platform engineers in the video “ Deploy, Test, Evaluate, Repeat : The Power of Webhooks for DevOps Platforms Engineers.” Open source automated browser and testing tool. Amazon Web Services (AWS).

DevOps 199

DevOps Engineering Testing Open Source 199

Dynatrace

SEPTEMBER 29, 2021

As businesses break up their monolithic colossuses into nimble containerized microservices, they often reduce time to market from months to days. Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Networking.

Open Source 309

Open Source Traffic DevOps Cloud 309

Dynatrace

OCTOBER 1, 2021

Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments. In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

AUGUST 17, 2023

With PurePath® distributed tracing, method hotspots, service flows, memory, and GC analysis, Dynatrace earned its reputation.Since then, Spring and Dynatrace have matured and improved, especially for containers, cloud integrations, and Kubernetes. This bit of special sauce deserved a short explanation.)

Metrics 206

Metrics Analytics Speed Java 206

DZone

DECEMBER 5, 2019

Learn how to test with Spring Cloud. With many industries transforming to a microservices architecture, testing these microservices is a challenge. Different teams own different services, so testing and validating the API communications between these microservices is important.

Cloud 147

Cloud Testing Architecture Performance Testing 147

Dynatrace

AUGUST 29, 2022

Release validation is a DevOps methodology that tests a software component to verify that it meets its release criteria before being released to the next phase of development or to production. While developing an application, service, or piece of code, it is critical to test the releases during defined milestones.

DevOps 217

DevOps Benchmarking Cloud Monitoring 217

Dynatrace

JANUARY 31, 2022

On the left side of the loop, teams plan, develop, and test software in pre-production. Shift-left is the practice of moving testing, quality, and performance evaluation early in the software development process, thus the process of shifting to the “left” side of the DevOps lifecycle.

DevOps 210

DevOps Testing Monitoring Speed 210

DZone

AUGUST 6, 2019

The popularity of microservices and the use of third-party services for non-business critical features have drastically increased the number of integrations that make up the modern application. All of these integration points require different layers of testing. Both are important, but the difference is huge.

Testing 199

Testing Database Code Programming 199

Dynatrace

JANUARY 31, 2022

On the left side of the loop, teams plan, develop, and test software in pre-production. Shift-left is the practice of moving testing, quality, and performance evaluation early in the software development process, thus the process of shifting to the “left” side of the DevOps lifecycle.

DevOps 204

DevOps Testing Monitoring Speed 204

Dynatrace

NOVEMBER 28, 2022

Today, application modernization efforts are centered on application programming interfaces and microservices that are sensitive to startup latency. In our internal testing of SnapStart, we noticed an improved time of 200 to 300 milliseconds in P90 when compared to Lambda On-Demand; however, your results may vary.

Lambda 231

Lambda AWS Serverless Latency 231

Dynatrace

FEBRUARY 23, 2022

Enshrining infrastructure in code provides a foundation for automation and testing—both of which are crucial for DevSecOps. This real-time analysis is key as teams integrate security verification to test code in development and continually identify new security vulnerabilities in production. Weighing MLOps vs. AIOps.

Serverless 273

Serverless Infrastructure Innovation DevOps 273

Dynatrace

JANUARY 13, 2022

But the complexity of multicloud platforms and microservices architecture makes it hard to run DevOps efficiently without the aid of artificial intelligence and automation. For SRE and DevOps teams, service-level objectives (SLOs) ensure accountability, enabling teams to better identify and address issues before they become problems.

DevOps 274

DevOps Speed Artificial Intelligence Innovation 274

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. The service flow . But when the customer ran a heavy load test, they started to see long garbage collection time in the middle tier. Dynatrace news. Conclusion.

Metrics 200

Metrics Architecture Engineering Cloud 200

Dynatrace

JANUARY 26, 2024

But up to now, FedRAMP has been viewed as a bottleneck process that delays the delivery of cloud services, which ultimately hurts modernization efforts. The user group participants emphasized the need for extensive testing in AI implementation. This aligns with the broader objective of responsible AI development and deployment.

Government 220

Government Artificial Intelligence Innovation Programming 220