Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 204

Design Storage Programming Analytics 204

ACM Sigarch

DECEMBER 19, 2022

We look here at a Gedankenexperiment: move 16 bytes per cycle , addressing not just the CPU movement, but also the surrounding system design. A lesser design cannot possibly move 16 bytes per cycle. This base design can map easily onto many current chips. The short plus medium code covers all lengths up to 255 bytes.

Design 145

Design Systems Cache Network 145

DZone

NOVEMBER 9, 2021

If you start catching bugs early, it will save you tons of time fixing them later.nn> Design reviewnnIt’s a very powerful tool when used in a good way. It sits at the very beginning of the process before the code is written and can save an immense amount of time down the road (of somebody spending tons of time just to get to a dead-end).

Software 245

Software Software Code Design 245

DZone

JANUARY 31, 2024

This decision, seemingly technical at its core, extends far beyond the area of coding, straight into the strategic planning that can make or break the early stages of a startup. The appeal of building a system that's inherently designed to grow and adapt as the startup evolves is undeniable.

Architecture 289

Architecture Scalability Design Engineering 289

DZone

MAY 19, 2020

When a software program or an application does not work the way it is created or designed to perform, it is called a software bug. In most cases, these errors are caused by developers or designers. It is estimated that software developers make 100-150 errors for every thousand lines of code.

Systems 246

Systems Programming Design Software 246

Dynatrace

DECEMBER 9, 2024

The time has come to move beyond outdated practices and adopt solutions designed for the realities of Kubernetes environments. DevSecOps teams can integrate security gates into release processes to prevent the deployment of code or containers with vulnerabilities or compliance issues at runtime.

Best Practices 256

Best Practices Benchmarking DevOps Efficiency 256

Dynatrace

AUGUST 13, 2024

By adhering to these stringent processes, OneAgent is designed to operate smoothly and securely, minimizing the likelihood of disruptions and providing you with greater confidence in your system’s security. Any required dependencies are thoroughly tested and fixed to specific versions, minimizing the risk of introducing untested code.

Monitoring 258

Monitoring Open Source Testing Software 258

DZone

SEPTEMBER 6, 2022

For example, each deliverable in the project, like the requirements, design, code, documents, user interface, etc., Moreover, we may test the code based on the user and functional requirements or specifications, i.e., black-box testing. We may also need to test the structure of the code, i.e., white box testing.

Testing 246

Testing Programming Design Code 246

The Netflix TechBlog

DECEMBER 3, 2022

One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session." This is one way to build trust with our internal user base.

Best Practices 362

Best Practices Code Testing Data Engineering 362

DZone

SEPTEMBER 11, 2024

This article will focus on the specific recommendations for implementing various distributed system patterns regarding Spring Boot, backed by sample code and professional advice. Spring Boot's default codes and annotation setup lessen the time it takes to design an application.

Systems 249

Systems Java Software Architecture Programming 249

DZone

JUNE 30, 2022

Tester teams should make certain that fresh code doesn’t conflict with older code and that unchanged code continues to function as expected. Software products, once designed, are frequently changed to ensure the right incorporation of sophisticated and unique features.

Best Practices 246

Best Practices Testing Testing Tools Code 246

High Scalability

APRIL 27, 2020

At least that’s what I realized the first time I heard Rick Houlihan give his now infamous talk at AWS re:Invent 2018 on Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB. In that talk Rick revealed for the first time the inner arcana of single-table design. Five deployable code implementations.

AWS 225

AWS Design Analytics Code 225

DZone

FEBRUARY 16, 2023

GraphQL is a query language and API runtime designed to provide a consistent and flexible way to fetch and manipulate data. It enables clients to specify the exact data required and makes it simple to evolve APIs over time without breaking existing client code.

Servers 263

Servers Design Code 263

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

DZone

OCTOBER 25, 2021

There are various steps in the SDLC paradigm, such as requirement gathering, analysis, coding, design, execution, testing, and deployment. These testing levels are intended to fill in any gaps, and they are re-coded and re-linked as the development lifecycle progresses.

Software 246

Software Software Testing Efficiency 246

Dynatrace

JANUARY 26, 2021

This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Development teams create and iterate on new software applications. Environmental forces.

DevOps 281

DevOps Best Practices Open Source Tuning 281

DZone

JANUARY 17, 2022

One of the main goals is to create a stable and high-quality code profile from aggregated and anonymous data as quickly as possible (to maximize the number of users that can benefit from this) while ensuring that we have enough data to optimize accurate performance applications.

Mobile 264

Mobile Performance Monitoring Scalability 264

DZone

SEPTEMBER 5, 2019

Interviews can range from standard software engineer coding questions to questions on system design, Linux debugging, and DevOps tools.

DevOps 277

DevOps Software Engineering Infrastructure Engineering 277

High Scalability

NOVEMBER 2, 2020

Secrets and Security Insights are two new types of results we extract from code analysis, and the V4 API is a brand new RESTful JSON API with an OpenAPI/Swagger specification that you can use to access all of your results. NG SAST was initially designed only for vulnerabilities. Read more about these features in our announcement post.

Storage 231

Storage Design Infrastructure Engineering 231

DZone

MAY 11, 2021

or the application code is already there, you'll probably be reaching for Test::Simple , Test::More , or one of the Test2::Suite bundles. After all, a test script can be a useful tool for designing a module's interface by writing example code that will use it.

Testing 246

Testing Code Design Software 246

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.

Serverless 293

Serverless AWS Lambda Storage 293

The Netflix TechBlog

NOVEMBER 9, 2022

Drilling down into “hot” methods and further into the assembly code showed us blocks of code with some instructions exceeding 100 CPI, which is extremely slow. This is the summary of our findings: Numbered markers from 1 to 6 denote the same code/variables across the sources and vTune assembly view.

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

NOVEMBER 3, 2023

are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Python data source—brings the flexibility of coding where declarative extensions are not enough.

Technology 255

Technology Technology Scalability Availability 255

Dynatrace

JUNE 13, 2022

Open source code, for example, has generated new threat vectors for attackers to exploit. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon. DevSecOps: Security by design.

Open Source 232

Open Source DevOps Java Innovation 232

DZone

AUGUST 12, 2021

Software Development goes through many phases like requirement gathering & analysis, communication, design, code building, testing, and release. A business has to ensure that the product they deliver is up to the mark, which is possible when the product goes through multidimensional quality checks.

Testing 246

Testing Mobile Design Software 246

Dynatrace

JULY 24, 2024

Dynatrace is designed to scale easily across the entire Kubernetes stack. Dynatrace code modules, enabled via Dynatrace webhook, provide distributed tracing and code-level visibility for applications deployed on Kubernetes. You can automatically detect and analyze performance issues across your entire tech stack with Davis® AI.

Availability 255

Availability Infrastructure Metrics Monitoring 255

Dynatrace

JULY 7, 2022

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. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Common problems with monolithic architecture.

Architecture 213

Architecture Serverless Azure Programming 213

The Netflix TechBlog

DECEMBER 11, 2020

Our goal was to design a GraphQL schema that was reflective of the domain itself, not the database model. Embracing a collaborative schema design approach was essential to achieving this goal. Embracing a collaborative schema design approach was essential to achieving this goal.

Architecture 257

Architecture Best Practices Engineering Open Source 257

The Netflix TechBlog

OCTOBER 23, 2019

Feature Overview Reproducibility Polynote promotes notebook reproducibility by design. Visibility The Polynote UI provides at-a-glance insights into the state of the kernel by showing kernel status, highlighting currently-running cell code, and showing currently executing tasks. Some problems are unique to the notebook experience.

Open Source 235

Open Source Code Website Availability 235

Dynatrace

AUGUST 8, 2024

Software bugs Software bugs and bad code releases are common culprits behind tech outages. These issues can arise from errors in the code, insufficient testing, or unforeseen interactions among software components. High demand Sudden spikes in demand can overwhelm systems that are not designed to handle such loads, leading to outages.

Software 260

Software Software Infrastructure Network 260

The Netflix TechBlog

DECEMBER 3, 2019

A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like The steps can be arbitrary Python code. It leverages elasticity of the cloud by design?—?both

Open Source 239

Open Source AWS Infrastructure Energy 239

The Netflix TechBlog

JULY 22, 2024

By Jun He , Natallia Dzenisenka , Praneeth Yenugutala , Yingyi Zhang , and Anjali Norwood TL;DR We are thrilled to announce that the Maestro source code is now open to the public! The transition was seamless, and Maestro has met our design goals by handling our ever-growing workloads. If you find it useful, please give us a star.

Strategy 260

Strategy Scalability Code Engineering 260

Dynatrace

OCTOBER 1, 2021

When an observability solution also analyzes user experience data using synthetic and real-user monitoring, you can discover problems before your users do and design better user experiences based on real, immediate feedback. The architects and developers who create the software must design it to be observed. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Cloud 363

DZone

OCTOBER 27, 2023

This dedicated infrastructure layer is designed to cater to service-to-service communication, offering essential features like load balancing, security, monitoring, and resilience. To execute these tasks, service meshes employ a set of proxy instances seamlessly integrated alongside application code.

Traffic 240

Traffic Best Practices Architecture Network 240

Dynatrace

NOVEMBER 7, 2023

Designed with platform engineering in mind, a new user interface boasts an intuitive, user-friendly experience for exploring cluster health, resource utilization, security, and performance of applications built and deployed on a Kubernetes-centric platform. Monitoring-as-code can also be configured in GitOps fashion.

Engineering 285

Engineering DevOps Best Practices Infrastructure 285

DZone

OCTOBER 28, 2024

We have seen multiple examples and use cases of building a low code API using Kumologica and running it on AWS lambda and on Azure function. Photo by Chris Linnett Architecture Based on the design defined in the diagram (Figure 1), we will be building Kumologica applications as a Docker container.

AWS 247

AWS Lambda Azure Architecture 247

DZone

AUGUST 9, 2023

This article proposes a technique using Docker, an open-source platform designed to automate application deployment, scaling, and management, as a solution to these challenges. The proposed methodology encapsulates the ML models and their environment into a standardized Docker container unit.

Scalability 246

Scalability Best Practices Open Source Virtualization 246