Dynatrace

NOVEMBER 18, 2024

On top of this, organizations are often unable to accurately identify root causes across their dispersed and disjointed infrastructure. In such a fragmented landscape, having clear, real-time insights into granular data for every system is crucial. How do you make this happen?

Strategy 243

Strategy Innovation Cloud Efficiency 243

Dynatrace

OCTOBER 29, 2024

We are in the era of data explosion, hybrid and multicloud complexities, and AI growth. Dynatrace analyzes billions of interconnected data points to deliver answers, not just data and dashboards sending signals without a path to resolution. Picture gaining insights into your business from the perspective of your users.

Innovation 288

Innovation Strategy Cloud AWS 288

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251

Latency Cache Infrastructure Strategy 251

Dynatrace

FEBRUARY 6, 2025

Welcome, data enthusiasts! Whether you’re a seasoned IT expert or a marketing professional looking to improve business performance, understanding the data available to you is essential. In this blog series, we’ll guide you through creating powerful dashboards that transform complex data into actionable insights.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

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 306

Efficiency Performance Analytics DevOps 306

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

NOVEMBER 20, 2024

Through this integration, Dynatrace enriches data collected by Microsoft Sentinel to provide organizations with enhanced data insights in context of their full technology stack. The Davis AI engine automatically and continuously delivers actionable insights based on an environment’s current state. Audit logs.

Best Practices 299

Best Practices Innovation Azure Cloud 299

Dynatrace

APRIL 9, 2025

Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. DQL is a powerful tool to explore data across multicloud environments and Google Cloud workloads in particular. Dynatrace AutomationEngine.

Google 195

Google Cloud Infrastructure Analytics 195

Dynatrace

JANUARY 21, 2025

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. However, your responsibilities might change or expand, and you need to work with unfamiliar data sets. Your trained eye can interpret them at a glance, a skill that sets you apart.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

JUNE 10, 2022

Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. What is infrastructure as code? Consistency. A lignment.

Best Practices 264

Best Practices Infrastructure Code Speed 264

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? The result is faster and more data-driven decision making. What is DevOps monitoring?

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

The Netflix TechBlog

DECEMBER 17, 2024

We kick off with a few topics focused on how were empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company. LORE: How were democratizing analytics atNetflix Apurva Kansara At Netflix, we rely on data and analytics to inform critical business decisions.

Analytics 212

Analytics Engineering Entertainment Metrics 212

DZone

JULY 10, 2024

In today's rapidly evolving technological landscape, developers, engineers, and architects face unprecedented challenges in managing, processing, and deriving value from vast amounts of data.

Infrastructure 195

Infrastructure Hardware Innovation Efficiency 195

Dynatrace

FEBRUARY 1, 2024

Infrastructure and operations teams must maintain infrastructure health for IT environments. With the Infrastructure & Operations app ITOps teams can quickly track down performance issues at their source, in the problematic infrastructure entities, by following items indicated in red.

Infrastructure 245

Infrastructure Metrics Network Monitoring 245

Dynatrace

FEBRUARY 20, 2025

Adding Dynatrace runtime context to security findings allows smarter prioritization, helps reduce the noise from alerts, and focuses your DevSecOps teams on efficiently remedying the critical issues affecting your production environments and applications. The main categories are detections, vulnerabilities, and compliance misconfigurations.

AWS 195

AWS Efficiency Infrastructure Cloud 195

DZone

JULY 12, 2023

In today's digital landscape, businesses heavily rely on content delivery networks (CDNs) to ensure efficient and reliable delivery of their web content to users across the globe. However, the extended infrastructure of CDNs requires diligent monitoring to ensure optimal performance and identify potential issues.

Infrastructure 244

Infrastructure Monitoring Website Performance Website 244

Dynatrace

MARCH 5, 2025

Cloud service providers (CSPs) share carbon footprint data with their customers, but the focus of these tools is on reporting and trending, effectively targeting sustainability officers and business leaders. This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length.

Efficiency 290

Efficiency Architecture Energy Monitoring 290

Dynatrace

SEPTEMBER 27, 2024

Carbon Impact leverages business events , a special data type designed to support the real-time accuracy and long-term granularity demands common to business use cases. Use DQL to perform ad-hoc analysis of energy consumption and carbon emissions Carbon Impact simplifies evaluating your carbon footprint at data center and host levels.

Energy 246

Energy Infrastructure Cloud Best Practices 246

The Netflix TechBlog

SEPTEMBER 18, 2024

Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform.

Latency 260

Latency Storage Cache Efficiency 260

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Both serve distinct purposes, from managing message queues to ingesting large data volumes. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

JANUARY 22, 2025

Improving collaboration across teams By surfacing actionable insights and centralized monitoring data, Dynatrace fosters collaboration between development, operations, security, and business teams. Inefficient or resource-intensive runners can lead to increased costs and underutilized infrastructure.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

The Netflix TechBlog

MARCH 28, 2025

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. Key insights from this shiftinclude: A Data-Centric Approach : Shifting focus from model-centric strategies, which heavily rely on feature engineering, to a data-centric one.

Tuning 212

Tuning Efficiency Latency Strategy 212

Dynatrace

OCTOBER 30, 2024

Dynatrace digital experience monitoring (DEM) monitors and analyzes the quality of digital experiences for users across digital channels by collecting data from multiple sources. We equip our customers with the insights necessary to enhance user experiences and improve operational efficiency. 5), and Business Insights (4.22/5)

Monitoring 245

Monitoring Innovation Mobile Strategy 245

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239

Latency Storage Traffic Tuning 239

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. This leads to a more efficient and streamlined experience for users. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

DZone

JANUARY 30, 2024

In the fast-paced realm of Information Technology (IT), organizations grapple with the challenges of maintaining complex and dynamic IT infrastructures. This article explores the role of CMDB in empowering IT infrastructure management, enhancing operational efficiency, and fostering strategic decision-making.

Infrastructure 200

Infrastructure Hardware Database Network 200

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.-based

Analytics 246

Analytics Infrastructure Storage Architecture 246

The Netflix TechBlog

NOVEMBER 3, 2023

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. The existing Data Mesh Processors have a lot of overlap with SQL.

Processing 271

Processing Engineering Infrastructure Latency 271

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

DZone

OCTOBER 7, 2024

As deep learning models evolve, their growing complexity demands high-performance GPUs to ensure efficient inference serving. Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure.

Infrastructure 173

Infrastructure Azure Hardware AWS 173

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Data explosion hinders better data insight. Log management and analytics have become a particular challenge.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. When trying to address this challenge, your cloud architects will likely choose Amazon Data Firehose.

Cloud 279

Cloud Lambda AWS Analytics 279

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 279

Artificial Intelligence DevOps Analytics Engineering 279