Dynatrace

JANUARY 21, 2022

Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. Dynatrace news. Contextual insight.

Strategy 224

Strategy Cloud Open Source DevOps 224

Dynatrace

NOVEMBER 11, 2021

. “Because of the uncertainty of the times and the likely realities of the ‘new normal,’ more and more organizations are now charting the course for their journeys toward cloud computing and digital transformation,” wrote Gaurav Aggarwal in a Forbes article the impact of COVID-19 on cloud adoption.

AWS 215

AWS Cloud Lambda Azure 215

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. ecosystem was chosen for this new service deserves an article in and of itself.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

AUGUST 7, 2023

Observability for effective DevSecOps Traditional approaches to application security can fail to keep up with the complexity of cloud-native environments and rapid software release cycles. To effectively advance DevSecOps maturity, teams can use observability data in context to take actions that strengthen defenses.

DevOps 187

DevOps Analytics Best Practices Java 187

The Netflix TechBlog

MARCH 7, 2024

In this article, we cover a few key integrations that we provide for various layers of the Metaflow stack at Netflix, as illustrated above. Under the hood, Titus is powered by Kubernetes , but it provides a thick layer of enhancements over off-the-shelf Kubernetes, to make it more observable , secure , scalable , and cost-efficient.

Systems 226

Systems Media Cache Open Source 226

Simform

JANUARY 11, 2023

Observability in microservices discovers unknown issues between various service interactions to build a resilient and secure app. You can adapt observability for your microservices through different design patterns.

Design 52

Design Best Practices DevOps 52

Dynatrace

MAY 17, 2023

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is observability? What is OpenTelemetry?

Metrics 182

Metrics Open Source Traffic Cache 182

Dynatrace

JANUARY 13, 2022

Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. But the complexity of multicloud platforms and microservices architecture makes it hard to run DevOps efficiently without the aid of artificial intelligence and automation. Dynatrace news.

DevOps 270

DevOps Speed Artificial Intelligence Innovation 270

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. For more information about defining critical paths, see the article Understanding your application’s critical path.

Software 266

Software Software Benchmarking Latency 266

Dynatrace

AUGUST 9, 2023

Dynatrace Grail  is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data. Falco is an open-source, cloud-native security tool that utilizes the Linux kernel technology  eBPF , to generate fine-grained networking, security, and observability events.

Analytics 198

Analytics AWS Strategy Infrastructure 198

Dynatrace

AUGUST 2, 2022

Advanced observability tools can enable organizations to identify and address dangerous zero-day vulnerabilities, such as Log4Shell. In this guide, we explore runtime application security strategies and how observability and application security can converge to protect organizations from the threats zero-day attacks pose.

DevOps 130

DevOps Strategy Open Source Java 130

Dynatrace

SEPTEMBER 3, 2020

In comparison, the AIOps approach discussed within this article, is built upon a radically different deterministic AI engine – at Dynatrace known as Davis – that yields precise, actionable results in real-time. These approaches are slow and inaccurate limiting its practical applications. This is now the starting node in our tree. Conclusion.

Software 264

Software Software Artificial Intelligence Metrics 264

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has been particularly successful with microservices and contemporary applications. In fact, if we go by current trends containerised microservices running on Kubernetes are the future. support for logging, monitoring, and observability. better cluster resource utilization. portability between cloud and on-premises.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dotcom-Montior

NOVEMBER 16, 2021

In one of our previous articles , we discussed what an SRE is, what they do, and some of the common responsibilities that a typical SRE may have, like supporting operations, dealing with trouble tickets and incident response, and general system monitoring and observability.

Monitoring 91

Monitoring Google DevOps Engineering 91

The Symphonia

MAY 22, 2018

Fast forward to two years later and the article has had more than half a million visits, regularly appears in the top five Google search results for “Serverless”, and helped launched Symphonia ?—?my The fundamental structure of the article hasn’t changed?—?clearly I also wrote an article on just this area last year.

Serverless 40

Serverless Architecture Lambda Azure 40

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 267

Serverless Infrastructure Innovation DevOps 267

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. At Perform 2022: Why AI-based observability aids serverless architecture management. Dynatrace news.

Serverless 179

Serverless Architecture Open Source Innovation 179

The Netflix TechBlog

MARCH 1, 2021

Orchestrated Functions as a Microservice by Frank San Miguel on behalf of the Cosmos team Introduction Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. Our response was to create Cosmos, a platform for workflow-driven, media-centric microservices.

Serverless 228

Serverless Media Latency Social Media 228

Dynatrace

DECEMBER 30, 2021

This article includes key takeaways on AIOps strategy: Manual, error-prone approaches have made it nearly impossible for organizations to keep pace with the complexity of modern, multicloud environments. Using automatic and intelligent observability promotes faster innovation, greater efficiency, and better business outcomes.

Strategy 225

Strategy Energy Cloud Innovation 225

Dynatrace

JANUARY 4, 2024

Here’s more about unified services and how the capability enhances OpenTelemetry observability. Why Dynatrace is the best way to analyze OpenTelemetry services OpenTelemetry is growing in popularity as a way for organizations to standardize observability instrumentation for all their services, languages, and frameworks.

Metrics 169

Metrics Open Source Tuning Infrastructure 169

Brendan Gregg

MARCH 16, 2024

If I were analyzing such a microbenchmark, apart from observability anaylsis (cycles, instructions, PMU, PMCs, PEBS) there are also an experiment I'd like to try: To test the theory of I-cache spillover: Compile the microbenchmark with and without frame pointers and find the performance delta. Over 3000 deep without.

Java 145

Java Cache Google Hardware 145

The Netflix TechBlog

AUGUST 1, 2022

We will deliver a series of articles that cover different aspects of Data Mesh and what we have learned from our journey. This article gives an overview of the system. The controller delegates the responsibility to the corresponding microservices to manage their life cycle. Provisioning a pipeline involves different resources.

Processing 272

Processing Transportation Entertainment Tuning 272

The Netflix TechBlog

NOVEMBER 2, 2021

This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. Cosmos is a computing platform for workflow-driven, media-centric microservices. To aid our transition, we introduced another Cosmos microservice: the Document Conversion Service (DCS).

Media 171

Media Innovation Metrics Latency 171

Dynatrace

MAY 27, 2021

In my previous article about continuous integration and continuous delivery (CI/CD) , I defined CI/CD and explained how these practices work together to help DevOps teams deliver quality software faster. Establish observability and continuous monitoring. Dynatrace news. What are the benefits of continuous delivery?

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

OCTOBER 21, 2021

If you’re interested in learning more, I recommend you check out these articles: Why DevOps love Dynatrace CodeLab Tutorials by Sergio Hinojosa. Kubernetes observability for SREs YouTube tutorial by Henrik Rexed. As always – these blog posts wouldn’t be possible if my colleagues wouldn’t share those stories.

Metrics 220

Metrics DevOps Engineering Strategy 220

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. As the popularity of microservices architecture increases, many more teams are getting involved with the delivery of a single product feature.

Azure 149

Azure Open Source Transportation IoT 149

O'Reilly

FEBRUARY 18, 2020

This is consistent with what we’ve observed elsewhere : Python has acquired new relevance amid strong interest in AI and ML. It’s possible that microservices architecture is hastening the move to other languages (such as Go, Rust, and Python) for web properties. Most cloud native design patterns involve microservices.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

The Netflix TechBlog

AUGUST 13, 2020

An application lives in an ecosystem The Application Health Model A microservice doesn’t live in isolation. We’ll do a future Netflix Tech Blog article focused on our algorithms. Teams use them to share additional data, observations, theories, and discussion about the incident. That is our Telltale vision.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

SEPTEMBER 4, 2020

Unlike our competitors in the market who force you into a DIY approach, Dynatrace provides automatic and intelligent observability, AI, and complete automation out of the box. You can, for example, drive ad hoc multidimensional analysis to analyze, chart, and report on microservice-based metrics without code changes.

Speed 132

Speed Metrics Monitoring Availability 132

Strategic Tech

FEBRUARY 14, 2020

In this article, I’m not going to sell you fortune telling but I am going to show an example of how understanding the type of domain you’re working in can greatly increase your chances of anticipating future changes and being able to accommodate them for the least amount of effort or compromise. But the library is not coupled to them.

Architecture 98

Architecture Government Design Availability 98

O'Reilly

OCTOBER 19, 2021

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? However, the concept is quite abstract. It is not productive to operate ML as an island.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

The Morning Paper

JULY 4, 2019

Netflix’s system is deployed on the public cloud as complex set of interacting microservices. The thread pool size The observed number of active threads over the past two weeks Which RPC clients the command wraps, if any Any known impacts associated with the command.

Latency 77

Latency Engineering Metrics Traffic 77

High Scalability

NOVEMBER 25, 2019

In this article, I will share the current architecture and some of the lessons we learned scaling it along with some of the things we are looking to improve upon in the near future. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Egnyte Connect Platform. Native Android and iOS apps.

Architecture 52

Architecture Cache Azure Storage 52