Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 184

Azure Analytics Artificial Intelligence Innovation 184

Dynatrace

OCTOBER 28, 2021

Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions. What is chaos engineering? Chaos engineers ask why. As chaos engineers grow confident in their testing, they change more variables and broaden the scope of the disaster.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.

Innovation 201

Innovation Software Software Cloud 201

Dynatrace

JULY 12, 2022

Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. These data insights became critical for Park ‘N Fly as it moved infrastructure to the cloud; IT resources became more dynamic and less visible.

Innovation 224

Innovation Infrastructure DevOps Azure 224

The Netflix TechBlog

FEBRUARY 1, 2022

By Karen Casella, Director of Engineering, Access & Identity Management Have you ever experienced one of the following scenarios while looking for your next role? Most backend engineering teams follow a process very similar to what is shown below. If so, we invite you to begin the interview process.

Engineering 199

Engineering Games Entertainment Innovation 199

The Netflix TechBlog

JUNE 30, 2020

Our mission in Studio Engineering is to build a unified, global, and digital studio that powers the effective production of amazing content. We combine our entertainment knowledge and our technical expertise to provide innovative technical solutions from the initial pitch of an idea to the moment our members hit play. What’s Next?

Engineering 238

Engineering Entertainment Logistics Innovation 238

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Proactive resource allocation.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. Dynatrace automatically collects data not just from metrics, traces, and logs, but also user experience and code-level insights – all in context and mapped into a topology.

Engineering 304

Engineering DevOps Innovation AWS 304

DZone

MARCH 8, 2024

In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 331

Analytics Innovation DevOps Architecture 331

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse.

Technology 221

Technology Technology Analytics Innovation 221

The Netflix TechBlog

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. What was your path to working in data? There’s us to the right!

Analytics 223

Analytics Education Innovation Engineering 223

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. Modern observability necessitates a holistic approach to collecting, processing, and analyzing data.

Monitoring 155

Monitoring Education Technology Technology 155

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. Data indicates these technology trends have taken hold. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. In the Reliability space, our data teams focus on two main approaches.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

DECEMBER 18, 2023

In the last blog post of this series, we delved into how Dynatrace, functioning as a deploy-stage orchestrator, solves the challenges confronted by Site Reliability Engineers (SREs) during the early of automating CI/CD processes. Further, harness request attributes and telemetry data gathered from requests to gain insights into the requests.

Testing 256

Testing Best Practices Performance Testing Engineering 256

DZone

MAY 5, 2023

Apache Kafka and Apache Flink are increasingly joining forces to build innovative real-time stream processing applications. The Tremendous Adoption of Apache Kafka and Apache Flink Apache Kafka became the de facto standard for data streaming.

Open Source 246

Open Source Storage Innovation Engineering 246

Dynatrace

MARCH 28, 2024

Lest readers believe that business digital transformation has fallen out of fashion, recent data suggests that digital transformation initiatives are still high on the agenda for today’s leaders. According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025.

C++ 190

C++ Artificial Intelligence DevOps Innovation 190

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 237

Best Practices Strategy Cloud AWS 237

Dynatrace

AUGUST 30, 2023

Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting. Here we asked Davis, the Dynatrace AI engine , to correlate CPU usage against other signals. Agent logs security.

Google 225

Google Cloud Innovation Infrastructure 225

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 280

Efficiency Performance Analytics DevOps 280

Dynatrace

FEBRUARY 16, 2024

Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. A proactive approach to application security is essential: by constantly collecting and analyzing data, security analytics enables teams to catch problems before they escalate.

Analytics 186

Analytics Engineering Cloud Traffic 186

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics? Applications and microservices monitoring.

Software 192

Software Software Analytics Big Data 192

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. Foremost among these is the complexity associated with data gathering and analysis. As a result, businesses and SREs can redirect their manual diagnostic efforts toward fostering innovation.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

MARCH 2, 2023

Google Cloud Distinguished Engineer Kelsey Hightower hopes to solve the many problems facing IT culture by equipping people with the mental and computational software they need to succeed in the competitive world of technology. Hightower can wrap his head around something new by taking a step back and focusing on the fundamentals.

Best Practices 220

Best Practices Internet Internet Cloud 220

Dynatrace

NOVEMBER 2, 2023

The result is smarter, data-driven solutions designed to manage cloud spend. FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. .” What is FinOps? There are some challenges with implementing FinOps.

Cloud 200

Cloud Strategy Retail Energy 200

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 208

Cache Azure Infrastructure Monitoring 208

The Netflix TechBlog

NOVEMBER 17, 2022

Encoding drastically reduces the amount of video data that needs to be streamed to your device, by leveraging spatial and temporal redundancies that exist in a video. Our deep downscaler effort was an excellent opportunity to showcase how Cosmos can drive future media innovation at Netflix.

Network 292

Network Media Innovation Efficiency 292

The Netflix TechBlog

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. Audit Run various quality checks on the staged data.

Tuning 244

Tuning Processing C++ Efficiency 244

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 198

Artificial Intelligence Analytics Cloud Innovation 198

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. They bring a scale and complexity that is well beyond that of the data center world and it isn’t manageable manually.”. Dynatrace news. Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas.

Artificial Intelligence 189

Artificial Intelligence Performance Innovation Speed 189

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Docker Swarm First introduced in 2014 by Docker, Docker Swarm is an orchestration engine that popularized the use of containers with developers.

Infrastructure 190

Infrastructure Open Source Operating System Cloud 190

Dynatrace

NOVEMBER 17, 2023

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. This proactive approach reduces wait times and allows SREs to redirect their efforts toward innovation.

Innovation 228

Innovation Architecture Code Processing 228

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. Why is developer observability important for engineers?

Development 266

Development DevOps Programming Cloud 266

Dynatrace

MAY 31, 2023

Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. Mobile retail e-commerce spending in the U.

Best Practices 227

Best Practices DevOps Latency Metrics 227

Dynatrace

APRIL 7, 2023

There is a new Lambda function handler signature that provides a stream object to which your function can write incoming stream data immediately, without waiting for any buffering as before. It also baselines the performance of an application under load, including response times, error rates, and behavior.

Lambda 220

Lambda AWS Serverless Latency 220

The Netflix TechBlog

MARCH 2, 2021

Stephanie Lane , Wenjing Zheng , Mihir Tendulkar Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. Learning through data is in Netflix’s DNA. Roxy Du (Product Innovation) [Roxy D.]

Analytics 207

Analytics C++ Innovation Engineering 207