Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. Learn more about managing application vulnerabilities in cloud-native environments from the following resources.

Cloud 186

Cloud DevOps Open Source Retail 186

The Netflix TechBlog

NOVEMBER 29, 2023

As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. The pandemic, however, posed unique challenges in conducting a conventional in-lab subjective test with HDR encodes.

Open Source 252

Open Source Software Engineering Internet Internet 252

Dynatrace

DECEMBER 5, 2023

This blog provides explains the SEC disclosure and what it means for application security, best practices, and how your organization can prepare for the new requirements. Don’t assume that applications are free of vulnerabilities because your organization has tooling — such as application security testing — and processes in place.

Best Practices 251

Best Practices Government C++ Education 251

Dynatrace

MARCH 2, 2022

GitHub workflows can be quite complex, executing dozens of individual build, test, and deployment steps. By dropping a Dynatrace GitHub Action into your GitHub CI/CD workflow you gain observability and real-time insights into the performance of your pipeline. It’s useful for seamlessly observing all your GitHub workflows.

Open Source 226

Open Source DevOps Metrics Monitoring 226

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform.

DevOps 218

DevOps Latency Traffic Best Practices 218

Dynatrace

AUGUST 11, 2022

DevOps teams, SREs (site reliability engineers), platform teams, and SecOps teams aren’t always working from a common source of truth: SAST tools (static application security testing) provide scanning code for vulnerabilities. AI-powered risk assessment based on observability data provided by the Davis® Security Advisor.

Java 240

Java Cloud Virtualization DevOps 240

Dynatrace

FEBRUARY 15, 2023

Dynatrace integrates observability and security monitoring while leveraging causal AI to deliver answers and intelligent automation from data at an enormous scale. Dynatrace Davis® AI integrates all this context-rich data to provide answers within complex, multi-level systems and environments.

Cloud 173

Cloud DevOps Code Open Source 173

Dynatrace

DECEMBER 14, 2021

Dynatrace’s automatic and intelligent observability naturally co-fly with GKE Autopilot. Dynatrace OneAgent is automatically a native, first-class citizen bringing automatic and intelligent observability to the fabric of this platform. Learn more about Kubernetes: Challenges for observability platforms.

DevOps 221

DevOps Infrastructure Innovation Google 221

Dynatrace

MARCH 7, 2022

Other benefits include faster software innovation, continuously improved user experiences, and increased operational efficiency, achieved with automatic and intelligent observability. Now, we can have it within a month. The post Dynatrace can provide a 274% return on investment over three years appeared first on Dynatrace blog.

Healthcare 224

Healthcare Innovation Efficiency DevOps 224

Dynatrace

AUGUST 17, 2021

These teams generally use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. The microservices approach gives developers more flexibility, and different teams within an organization own various APIs and applications throughout their lifecycles. Limited observability.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

These teams generally use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. The microservices approach gives developers more flexibility, and different teams within an organization own various APIs and applications throughout their lifecycles. Limited observability.

Architecture 244

Architecture Software Software Development 244

Dynatrace

NOVEMBER 9, 2022

For more on cloud migration and the role of modern observability, read on. . IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. Modern observability platforms enable teams to gain the benefits of cloud infrastructure while retaining visibility. .

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

APRIL 8, 2021

Nonetheless, operating Lambda functions comes with its own unique challenges and—especially when used within enterprise stacks—the operational requirements are the same as for any other piece of software. In a previous blog post , we covered how Lambda functions work under the hood. Enterprise-grade observability is harder to achieve.

Lambda 221

Lambda AWS Serverless Monitoring 221

Dynatrace

APRIL 21, 2022

These complexities lead organizations to fundamentally transform the way they approach their observability capabilities in a dynamic multicloud environment. Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Reliability.

Azure 187

Azure Monitoring Virtualization Metrics 187

Dynatrace

MARCH 16, 2021

The Dynatrace integration with Terraform , which can be easily installed via an API connection, marries Dynatrace’s AI-driven software intelligence and observability with any infrastructure managed by Terraform, including Kubernetes, hybrid cloud, and multicloud. across their complete Dynatrace instance.”. What is monitoring as code?

Code 241

Code Monitoring Best Practices Infrastructure 241

Dynatrace

MAY 21, 2021

For DevOps teams that have an established production CI/CD pipeline , a service mesh can be essential for programmatically deploying apps and application infrastructure (Kubernetes) to manage source code and test automation tools like Git, Jenkins, Artifactory, or Selenium. Observability challenges of service mesh. Watch webinar now!

Traffic 241

Traffic DevOps Infrastructure Network 241

Dynatrace

SEPTEMBER 22, 2021

and, just like other software or hardware products, DNA runs internal testing groups where employees can beta test new devices and give feedback so that any annoying usability issues are addressed before hitting the mass market. Modern mobile observability optimizes feedback loops to app developers.

Mobile 192

Mobile Media Hardware Network 192

Dynatrace

OCTOBER 11, 2021

Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams. Think of GCP as a suite, whereas GCF is a specialized service within it. GCF pairs well with Google Cloud Build, which enables testing and other CI/CD tasks based on functions originating in GCF.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Testing can be more complicated. Dynatrace news. Common problems with monolithic architecture.

Architecture 199

Architecture Serverless Azure Programming 199

The Netflix TechBlog

OCTOBER 7, 2021

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the third post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Have a look at Part 1 (Decision Making at Netflix) and Part 2 (What is an A/B Test?). Need to catch up?

Testing 226

Testing Games Metrics Innovation 226

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 225

Engineering Entertainment Cloud Infrastructure 225

Dynatrace

APRIL 8, 2021

Nonetheless, operating Lambda functions comes with its own unique challenges and—especially when used within enterprise stacks—the operational requirements are the same as for any other piece of software. In a previous blog post , we covered how Lambda functions work under the hood. Enterprise-grade observability is harder to achieve.

Lambda 182

Lambda AWS Serverless Monitoring 182

Dynatrace

MAY 17, 2023

Validation tasks are then extended left to cover performance testing and release validation in a pre-production environment. While the first guardian validates the traffic, the second guardian checks the business transactions generated during the observation period. The functionality is implemented via an automated workflow.

DevOps 186

DevOps Traffic Latency Best Practices 186

Dynatrace

NOVEMBER 16, 2021

How to test the configuration? To ensure the correct configuration of the Dynatrace annotations, we recommend testing the settings by sending a request to the exporter’s HTTP endpoint. You can also test the settings by deploying a pod with Curl installed to test your request directly within your cluster.

Metrics 200

Metrics Infrastructure Open Source Database 200

Dynatrace

JUNE 16, 2022

One such approach is detecting and blocking attacks in real-time from within the application using RASP capabilities. RASP capabilities aim to close the gap left by application security testing and network perimeter controls such as web application firewalls (WAFs). million attacks. What is RASP? Instant runtime response.

Tuning 223

Tuning Cloud Open Source Network 223

Dynatrace

APRIL 18, 2022

Observability seeks to find a happy medium between the two. Observability is a set of practices and technologies that helps IT teams understand what’s happening across complex environments so that teams can detect and resolve issues quickly, without disruption to users. Keptn lets developers keep their favorite tools.

Open Source 187

Open Source DevOps Cloud Metrics 187

Dynatrace

JANUARY 13, 2022

User sessions can be highly varied, even within a single application. With RUM, you can collect data on each user action within a session, including the time required to complete the action, so you can begin to identify patterns and see where to make improvements. Include RUM in your test environments. Learn more!

Monitoring 179

Monitoring Latency Mobile Best Practices 179

Dynatrace

DECEMBER 10, 2020

I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. This blog summarizes our great conversation for the posed questions.

Strategy 177

Strategy Performance Logistics Monitoring 177

Dynatrace

NOVEMBER 18, 2020

This includes initial design, proof of concept, testing, deployment, and eventual revision. On the operations side, a collaborative approach to deployment makes it possible to extend agile processes past software into platforms and infrastructure to consider details and context of all layers within the IT environment.

DevOps 205

DevOps Infrastructure Open Source C++ 205

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

JULY 6, 2022

Without SRE best practices, the observability landscape is too complex for any single organization to manage. In a talent-constrained market, the best strategy could be to develop expertise from within the organization. The post 5 SRE best practices you can implement today appeared first on Dynatrace blog.

Best Practices 187

Best Practices Open Source Tuning Infrastructure 187

Dynatrace

OCTOBER 4, 2021

API monitoring is especially important when using third-party components, such as payment services, customer relationship management services like Salesforce, and internal services provided by other teams within an organization for specialized internal processes. API testing complements monitoring. This is done through testing.

Monitoring 177

Monitoring Latency Metrics Availability 177

The Netflix TechBlog

MAY 21, 2022

To measure causal effects we rely heavily on AB testing , but we also leverage quasi-experimentation in cases where AB testing is limited. We covered a wide range of topics including difference-in-difference estimation, double machine learning, Bayesian AB testing, and causal inference in recommender systems among many others.

Entertainment 218

Entertainment Best Practices Innovation Testing 218

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. Amid so much change, teams can no longer rely on time-consuming, manual approaches for building, testing, operating, and upgrading software.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. As observed in the customer’s instance , the application worked fine when there was a small to medium amount of load in the environment. Dynatrace news. The setup .

Metrics 197

Metrics Architecture Engineering Cloud 197

Dynatrace

SEPTEMBER 23, 2021

Four types of tools are commonly used to detect software vulnerabilities: Source-code tests that are used in development environments. Source code tests. Products that scan source code before the container is built are known as Software Composition Analysis (SCA) tools and Static Application Security Test (SAST) tools.

Open Source 250

Open Source Benchmarking Best Practices Network 250

Dynatrace

MARCH 5, 2021

Davis automatically analyzes and alerts on many important anomalies that can occur within your IT environment, such as host, process or service outages. Let the Davis AI automatically detect outages within your custom data streams. Another newly introduced feature is the selection of a metric dimension within the alert message.

Metrics 213

Metrics Network Monitoring Infrastructure 213