Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.

Engineering 233

Engineering Development DevOps Infrastructure 233

Dynatrace

JANUARY 5, 2022

Credits on content go to him and the work he has been doing around performance & resiliency testing automation. Our Application Performance Management (APM) and load test team at T-Systems MMS helps our customers reduce the risk of failed releases. Automation : Single load test executions can be repeated and tracked.

Testing 211

Testing Open Source Metrics Infrastructure 211

Dynatrace

APRIL 2, 2024

As someone who has worked deep in the coding trenches with developers my whole life, I’ve hand-picked the top three mistakes you can make when moving to Kubernetes. Kubernetes was made for the Configuration as Code paradigm, and all those YAML files belong in a Git repo. Using GitOps tools such as Flux. Through resource allocation!

Virtualization 218

Virtualization Cloud Infrastructure Code 218

Dynatrace

NOVEMBER 13, 2020

When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions. With Dynatrace OneAgent running on your back-end systems, you gain an end-to-end perspective through your infrastructure all the way to your back-end method calls and database statements.

Code 168

Code Mobile Monitoring Infrastructure 168

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 256

Serverless Infrastructure Innovation DevOps 256

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 176

Engineering Development Infrastructure Cloud 176

Dynatrace

NOVEMBER 3, 2023

A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications. Other aspects of the discipline — such as infrastructure as code, automation, and standardization — reduce extraneous manual processes to increase developer productivity.

Engineering 203

Engineering DevOps Software Engineering Scalability 203

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 194

Analytics Infrastructure Efficiency Technology 194

DZone

FEBRUARY 20, 2023

This is achieved through practices like Infrastructure as Code for deployments, automated testing, application observability, and end-to-end application lifecycle ownership.

Software Engineering 274

Software Engineering Engineering Software Software 274

Dynatrace

FEBRUARY 1, 2024

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. That looks like modernizing data centers from the ground up with sustainability and efficiency in mind and identifying underutilized infrastructure.

Cloud 203

Cloud Energy Innovation Infrastructure 203

Tech News Gather

JUNE 1, 2023

Coding is necessary when it comes to every app development. As a result, no code platform is quickly revolutionizing the app development industry. Let us explore the main reasons for the no-code app development in their projects. Mobile development takes a boon regarding the no-code platform for better insights.

Code 52

Code Development Innovation Efficiency 52

Dynatrace

AUGUST 11, 2022

Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Increased testing complexity. How does function as a service work?

Development 242

Development Serverless Best Practices Lambda 242

Dynatrace

OCTOBER 10, 2022

Code development also benefits from a serverless approach. Application developers can spin up isolated test environments that pose no risk to current operations. Then, they can apply DevSecOps best practices to fully test new code and see what breaks without affecting current operations. No infrastructure to maintain.

Serverless 161

Serverless Infrastructure Lambda Latency 161

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. Ultimately, quality gates safeguard code viability as it advances through the delivery pipeline.

Speed 199

Speed Software Software Latency 199

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. Shifting left is an approach that includes software quality, performance, and security testing as a part of the SDLC.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

Dynatrace

NOVEMBER 3, 2022

Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. The emergence of Docker and other container services enabled companies to transport code quickly and easily. The classes of CaaS. How CaaS compares with PaaS, IaaS, and FaaS. CaaS vs. PaaS.

Serverless 212

Serverless Azure Hardware Transportation 212

Dynatrace

DECEMBER 14, 2023

34% of CIOs say they sacrifice code security to deliver innovation quicker. 49% of CIOs focus on testing security in production, but less than 31% look at security in development. Dynatrace provides powerful AI-based observability, putting all your infrastructure, applications, and events in context.

AWS 252

AWS Innovation Speed Efficiency 252

DZone

JULY 13, 2022

AWS Lambda is a compute service that lets you run code without any infrastructure management and it natively supports Java, Go, NodeJS,Net, Python, and Ruby runtimes. We are using simple hello world functions to test invocation times of Lambdas’ by using the AWS SAM templates. Structure of the Template.

Lambda 264

Lambda AWS Java Infrastructure 264

Testlodge

MARCH 15, 2023

White box testing is a software testing approach based on an analysis of the internal structure of the component or system. Internal structure may include code, architecture, integrations, and data flows of a system. Why is White Box Testing Performed? Testers perform white box testing for several reasons.

Testing 83

Testing Testing Tools Java Programming 83

Dynatrace

JUNE 4, 2024

To provide automated feedback for developers, the concept of quality gates for static code analysis in continuous integration is widely adopted throughout the industry. The developer must pause their current engineering work to address the reported issue and consider the code changes they worked on a few days or weeks prior.

Metrics 220

Metrics Engineering Code Tuning 220

Dynatrace

JULY 25, 2022

These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? Development teams use GitOps to specify their infrastructure requirements in code. Known as infrastructure as code (IaC), it can build out infrastructure automatically to scale.

DevOps 216

DevOps Infrastructure Speed Cloud 216

Dynatrace

OCTOBER 1, 2021

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 can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.

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 218

Lambda AWS Serverless Latency 218

Dynatrace

AUGUST 18, 2022

In some cases, this meant testing my scripted methodology hundreds of times before deploying to production in order to catch every nuance and condition that could affect the result. These evaluations that I hard-coded into a script were now embedded into the back-end of Ansible’s modular approach. Probe APPSERVER456 once per minute.

Games 285

Games Monitoring Infrastructure DevOps 285

Dynatrace

NOVEMBER 10, 2022

This architectural method encompasses software containers, service meshes, microservices , immutable infrastructure, and declarative APIs to create an environment that is inherently scalable, extendable, and easy to manage through automation. Immutable infrastructure. Therefore, organizations should use them as little as possible.

Cloud 159

Cloud Architecture Serverless Infrastructure 159

Dynatrace

NOVEMBER 17, 2023

Infrastructure layer (Kubernetes Cluster, GCP, Standalone server, etc.) A conventional pipeline has the following stages: Build Deploy Test Validation Now, let’s explore the challenges that arise in the different stages of the pipeline and examine how the role of Dynatrace as the orchestrator can contribute to overcoming these challenges.

Innovation 214

Innovation Architecture Code Processing 214

The Netflix TechBlog

FEBRUARY 3, 2021

There are two different approaches to GraphQL development; schema-first and code-first development. The code in your service only implements this schema. With code-first development , you don’t have a schema file. Instead, the schema gets generated at runtime based on definitions in code.

Open Source 246

Open Source Java Architecture Metrics 246

Dynatrace

DECEMBER 16, 2020

Typically, the attackers attempt to exploit some weakness in the vendor’s development or delivery life cycle and attempt to inject malicious code before an application is signed and certified. It all starts with the code. Dynatrace has established a secure SDL, which automatically enforces that all developed code is reviewed by a peer.

Software 224

Software Software Development AWS 224

Dynatrace

MAY 30, 2023

Just copy and paste your code, make changes to the “green” version, and deploy “green” alongside “blue.” A “deployment” no longer means a “release” Using feature flags, “deploying” code no longer means “releasing code to end users.” After all, if you know that by default, no one gets the new code, your deployment is safe.

Infrastructure 202

Infrastructure Code DevOps Traffic 202

Dynatrace

MAY 21, 2021

This modular microservices-based approach to computing decouples applications from the underlying infrastructure to provide greater flexibility and durability, while enabling developers to build and update these applications faster and with less risk. And if you don’t own the code for a specific service, you lose end-to-end visibility.

Traffic 232

Traffic DevOps Infrastructure Network 232

Testsigma

AUGUST 18, 2020

A major challenge that software testing teams across the globe face today are the dependence on physical machines. Other reasons include dependency on infrastructure and internet for the execution of tasks. Automation, in various ways, can help testing teams work better in the remote working environment.

Testing 104

Testing Internet Internet Cloud 104

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. It involves carefully examining the test results from the previous testing phase. Configure an action for the Site Reliability Guardian in the workflow.

DevOps 195

DevOps Metrics Engineering Analytics 195

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. Automated testing.

DevOps 182

DevOps Innovation Speed Monitoring 182

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. Testing can be more complicated. Dynatrace news.

Architecture 193

Architecture Serverless Azure Programming 193

Dynatrace

MAY 8, 2023

DevOps aims to move applications more quickly into production by releasing new builds frequently — often several times per day — and incorporating constant feedback and testing, both during development and after software is deployed. Moreover, most organizations use a combination of cloud-based and on-premises infrastructure.

DevOps 213

DevOps Efficiency Monitoring Infrastructure 213

Alex Podelko

SEPTEMBER 8, 2020

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. I remember really liking the technical side of these tests. But I must confess I was not too fond of having to report the results to stakeholders or deal with political/personal issues related to (poor) test results.

Open Source 223

Open Source Performance Testing Testing Performance 223