The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. What is mobile app performance? Issue remediation.

Best Practices 197

Best Practices Mobile Metrics Performance 197

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. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance.

Google 261

Google Innovation Cloud Analytics 261

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 251

Cloud Lambda AWS Analytics 251

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 213

Efficiency Virtualization Hardware Performance 213

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 186

Software Software Analytics Big Data 186

Dynatrace

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It also includes various built-in software components for database management, security, and application development. Gaining knowledge about IBM i performance can be a challenging and pricey task.

Monitoring 234

Monitoring Infrastructure Metrics Analytics 234

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 189

DevOps Engineering Artificial Intelligence Infrastructure 189

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 235

Performance Analytics Mobile Innovation 235

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

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

SEPTEMBER 15, 2023

In the 2023 Magic Quadrant for Application Performance Monitoring (APM) and Observability, Gartner has named Dynatrace a Leader and positioned it highest for Ability to Execute and furthest for Completeness of Vision. Although implementations are nascent, the security capabilities of APM and observability tools have proved to be valuable.

Monitoring 244

Monitoring Performance Analytics DevOps 244

Dynatrace

APRIL 28, 2023

Even with the flexibility of buckets, there is no additional overhead of data storage management, no archiving, no retrieval from archives, and no performance degradations when using retained data for answers. App developers might need to logs from their environment for debugging purposes, but only for a specific timeframe.

Analytics 212

Analytics Storage Infrastructure Metrics 212

Dynatrace

SEPTEMBER 13, 2023

Citrix is critical infrastructure For businesses operating in industries with strict regulations, such as healthcare, banking, or government, Citrix virtual apps and virtual desktops are essential for simplified infrastructure management, secure application delivery, and compliance requirements.

Monitoring 219

Monitoring Healthcare Infrastructure Metrics 219

Dynatrace

MARCH 20, 2024

While there are disparate ways to track program performance and proactively address potential threats, effective application security monitoring combines several crucial components and offers significant benefits to organizations. Enable analytics Visibility sets the stage while analytics help turn data into action.

Monitoring 210

Monitoring Analytics Traffic Best Practices 210

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Official Blog - World Web Technology

MARCH 4, 2024

“Automatic,” the website development company behind various WordPress-related products, including WordPress.com, offers WordPress VIP. WordPress website development is mainly used for those belonging to institutions with demanding online needs. It also ensures optimal performance even during high traffic.

Website 59

Website Development Education Traffic 59

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Both can result in lost productivity for IT teams and staff in the field.

Government 202

Government Infrastructure Programming Cloud 202

Dynatrace

FEBRUARY 16, 2023

And it is making it more and more difficult for all of us to manage that wealth of data,” said Rick McConnell, CEO of Dynatrace, at the annual Perform conference in Las Vegas. “… We need automation and observability to drive and address that issue.” You have to get automation and analytical capabilities.”

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

Dynatrace

JANUARY 22, 2024

Software development. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 206

Artificial Intelligence Healthcare Retail Government 206

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights. That’s where causal AI can help.

Government 199

Government Analytics Benchmarking Storage 199

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services.

Systems 185

Systems Cloud Analytics DevOps 185

The Netflix TechBlog

JUNE 7, 2021

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

FEBRUARY 16, 2023

Every company is becoming a software company,” said Dynatrace Chief Marketing Officer Mike Maciag, during a Perform 2023 conference keynote on the role of observability in driving enterprise success. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 171

Analytics Innovation Cloud Scalability 171

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 184

Analytics Java Infrastructure Cloud 184

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0

Technology 246

Technology Technology Scalability Availability 246

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 183

DevOps Analytics Storage Metrics 183

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. 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.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Performance. What is ITOps?

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

FEBRUARY 15, 2023

To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. Cloud environments have become ever more complex, with an increasingly interconnected set of services.

Code 210

Code DevOps Cloud Analytics 210

Jos

JUNE 2, 2018

Web Performance is not only about understanding what makes a site fast. It’s about creating awareness amongst both developers and non-developers. Performance is a feature and needs to be prioritized as such. Performance is a topic that has interested me for a long time.

Performance 237

Performance Speed Google Media 237

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. What is Lambda? Users can take advantage of the platform features immediately.

Lambda 224

Lambda AWS Serverless Latency 224

CSS Wizardry

OCTOBER 27, 2018

A lot of companies—even if they are aware that performance is key to their business—are often unsure of how, when, or where performance testing sits within their development lifecycle. To make things worse, they’re also usually unsure whose responsibility performance measuring and monitoring is.

Performance Testing 172

Performance Testing Testing Performance Strategy 172