The Netflix TechBlog

MARCH 13, 2020

SVT-AV1: open-source AV1 encoder and decoder by Andrey Norkin , Joel Sole , Mariana Afonso , Kyle Swanson, Agata Opalach , Anush Moorthy , Anne Aaron SVT-AV1 is an open-source AV1 codec implementation hosted on GitHub [link] under a BSD + patent license.

Open Source 154

Open Source Efficiency C++ Speed 154

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 189

Architecture Serverless Azure Programming 189

Dynatrace

JULY 11, 2023

Dynatrace introduced the Dynatrace Operator, built on the open source project Operator Framework, in late 2018. Dynatrace full stack Red Hat OpenShift observability Dynatrace unifies platform engineering and application teams on a single platform, enhancing software quality and operational efficiency to drive innovation.

Architecture 161

Architecture Availability Infrastructure Metrics 161

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 180

Analytics Software Software Storage 180

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Key ingredients required to deliver better software faster.

Software 245

Software Software Open Source Azure 245

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Recovery time of the throughput metric.

Engineering 171

Engineering Tuning Latency Open Source 171

Dynatrace

OCTOBER 26, 2020

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. For some of these tests, he’s using the open source tool Apache JMeter. For some of these tests, he’s using the open source tool Apache JMeter.

Innovation 149

Innovation Metrics Hardware Games 149

Dynatrace

JULY 11, 2023

Dynatrace has supported the OpenTelemetry project for years as a key contributor and contributed to its rise to a popular open source observability framework for cloud-native software. Native support for OpenTelemetry (OTLP) logs also supports enterprises that have highly diverse technical architectures.

Open Source 203

Open Source Analytics Metrics Cloud 203

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. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

Engineering 230

Engineering Development DevOps Infrastructure 230

Dynatrace

DECEMBER 16, 2022

An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption. Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation.

Innovation 185

Innovation Software Software Cloud 185

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Detailed performance analysis for better software architecture and resource allocation. All metrics, traces, and real user data are also surfaced in the context of specific events. Dynatrace news. What is Fluentd?

Metrics 170

Metrics Analytics Software Architecture Open Source 170

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Open-source software drives a vibrant Kubernetes ecosystem. Java, Go, and Node.js

Open Source 333

Open Source Java Operating System Programming 333

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.

Architecture 220

Architecture Artificial Intelligence Cloud Open Source 220

Dynatrace

DECEMBER 18, 2020

This year I wrote two open-source apps for Dynatrace users. Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience? Agentless RUM, OpenKit, and Metric ingest to the rescue!

Analytics 134

Analytics Metrics IoT Monitoring 134

Dynatrace

OCTOBER 23, 2023

This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. Security by design is an approach to developing systems that integrate security principles into the entire software development lifecycle. We’re born in the cloud, we’re a cloud-native company.

Design 206

Design Innovation DevOps Open Source 206

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Extend your topology mapping to include open-source observability data.

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. ” First, Akamas collects metrics, then recommends configuration improvements and applies these recommendations.

Engineering 214

Engineering DevOps Operating System Open Source 214

Dynatrace

JUNE 7, 2023

If you’re evaluating container orchestration software to manage containerized applications at scale, you may be wondering about the differences between OpenShift and Kubernetes. Like Kubernetes, OpenShift is an open source Kubernetes-based container platform. What is Kubernetes? What is OpenShift?

Open Source 195

Open Source Social Media Infrastructure Operating System 195

Dynatrace

APRIL 30, 2019

Validating Deployments still seems to be a semi-automated task for most software delivery teams. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. The following shows how to evaluate a deployment score based on metrics from Prometheus and Dynatrace. Dynatrace news. Why do I say that? Pitometer is a Node.js

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Detailed performance analysis for better software architecture and resource allocation. All metrics, traces, and real user data are also surfaced in the context of specific events. Dynatrace news. What is Fluentd?

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Open source code, for example, has generated new threat vectors for attackers to exploit. Dynatrace news.

Open Source 211

Open Source DevOps Java Innovation 211

Dynatrace

APRIL 15, 2024

How observability helps IT protect modern environments As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to issues across their multicloud environments. Unified observability is the key to success in resource-constrained local government agencies.

Infrastructure 197

Infrastructure Efficiency Government Transportation 197

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Native support for open-source log data frameworks, Fluentd and Logstash.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

JUNE 8, 2021

That’s where the Dynatrace Software Intelligence platform can elevate the capabilities of federal agencies to increase visibility into threats. Implementing a zero-trust architecture. In essence, a zero-trust architecture allows users full access, but only to the bare minimum, they need to perform their jobs.

Government 246

Government Architecture Open Source Infrastructure 246

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 176

Analytics Innovation Metrics Database 176

Dynatrace

FEBRUARY 9, 2021

The devil is in the detail, though because of the sheer number, breadth, and volatility of technologies used in modern architectures and the immense volume, velocity, and variety of data they produce. The Dynatrace Software Intelligence Hub helps enterprises easily apply AI to all technologies and data sources and unlock automation at scale.

Software 141

Software Software Technology Technology 141

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. Metrics: Numeric representation of data measured over a set period. Where traditional methods struggle.

Infrastructure 194

Infrastructure Cloud Monitoring Metrics 194

Dynatrace

MAY 1, 2023

This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example. Define core metrics. Without these insights, it is difficult to enact data-driven, proactive decisions such as enhanced security protocols that identify and prevent software supply chain attacks.

Analytics 178

Analytics Artificial Intelligence Big Data Open Source 178

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs.

Azure 178

Azure Monitoring Virtualization Metrics 178

Dynatrace

NOVEMBER 19, 2020

At Dynatrace’s 2020 Perform Conference, we shared approaches for how our customers are using Dynatrace to help them “ Release Better Software Faster ”. One highlight from the conference was the introduction of the open-source project called Keptn which Dynatrace is leading.

Software 140

Software Software DevOps Open Source 140

Dynatrace

JULY 18, 2022

Gartner has estimated that 70% of new cloud-native application monitoring will use open source instrumentation by 2025. The reference architecture works with C++,NET, Erlang/Elixir, Go, Java, PHP, Python, Ruby, Rust, and Swift — with support for additional languages to come. The other option is semi-automatic instrumentation.

Artificial Intelligence 182

Artificial Intelligence Open Source Analytics Monitoring 182

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 187

AWS Cloud Lambda Analytics 187

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures.

Artificial Intelligence 169

Artificial Intelligence Metrics Architecture DevOps 169

Dynatrace

JUNE 28, 2021

Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. Stage 2: Service monitoring. Stage 3: Diagnostics.

Infrastructure 172

Infrastructure Monitoring Artificial Intelligence Open Source 172

Dynatrace

FEBRUARY 10, 2023

For more information on how a data lakehouse powered by software intelligence can help your organization quell cloud complexity, create operational efficiencies, and deliver better business insights, view the resources below. For example, development teams can use automation to increase efficiency in the software development lifecycle.

Efficiency 264

Efficiency Performance Analytics DevOps 264

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Standards are set by the platform engineers and ensured throughout all stages of the software development lifecycle. According to Gardner, teams gradually deliver software to user groups with progressive delivery.

Engineering 172

Engineering Development Infrastructure Cloud 172