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

JUNE 27, 2023

An hourly rate for Infrastructure Monitoring The Dynatrace Platform Subscription (DPS) offers a flat rate for Infrastructure Monitoring , providing observability for cloud platforms, containers, networks, and data center technologies with no limits on host memory and with AIOps included.

Infrastructure 246

Infrastructure Monitoring Metrics Network 246

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

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 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

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 248

Latency Cache Infrastructure Strategy 248

DZone

JULY 12, 2023

However, the extended infrastructure of CDNs requires diligent monitoring to ensure optimal performance and identify potential issues. CDN observability refers to gaining insights into the CDN infrastructure's performance, availability, and reliability. What Is CDN Observability?

Infrastructure 244

Infrastructure Monitoring Website Performance Website 244

The Netflix TechBlog

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Best Practices 361

Best Practices Code Testing Data Engineering 361

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 your changes stick — and prevent future tool sprawl?

Strategy 243

Strategy Innovation Cloud Efficiency 243

DZone

FEBRUARY 20, 2023

The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. This talk covers ways to leverage software engineering practices for data engineering and demonstrates how measuring key performance metrics could help build more robust and reliable data pipelines.

Software Engineering 274

Software Engineering Engineering Software Software 274

DZone

MARCH 29, 2023

Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud.

Best Practices 315

Best Practices Cloud Data Engineering Storage 315

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

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

DECEMBER 7, 2023

Grant Schneider’s triple whammy of insider threats, critical infrastructure, and AI Our next guest, Grant Schneider, senior director of cybersecurity services at Venable and former federal CISO, took things up a notch. Schneider shared his perspective on the impact of those incidents.

Government 262

Government Infrastructure Artificial Intelligence Best Practices 262

Dynatrace

JULY 15, 2024

Whether necessary as part of deep root-cause analyses of issues faced by your users that impact your business or if you’re an engineer responsible for the infrastructure hosting your applications and network paths. A set of metrics allowing query results with Data Explorer and creating advanced reporting using Dynatrace Dashboards.

Availability 246

Availability Network Monitoring Infrastructure 246

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 237

Latency Storage Traffic Tuning 237

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 258

Latency Storage Cache Efficiency 258

DZone

APRIL 4, 2023

Kafka’s ability to handle large volumes of real-time market data makes it a core infrastructure component for trading, risk management, and fraud detection. Financial institutions use Kafka to stream data from market data feeds, transaction data, and other external sources to drive decisions.

Processing 272

Processing Database Infrastructure Testing 272

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

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

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

DZone

OCTOBER 7, 2024

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. This shift is driven by the need for greater control over costs, data privacy, and system customization.

Infrastructure 173

Infrastructure Azure Hardware AWS 173

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

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 278

Storage Government Network Infrastructure 278

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

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

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

Dynatrace

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

Performance 290

Performance Architecture Innovation Latency 290

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 263

Government Analytics Benchmarking Storage 263

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

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. 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. All of these factors challenge DevOps maturity.

DevOps 246

DevOps Analytics Storage Metrics 246

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. 5), Hybrid Infrastructure/Platform Operations (4.25/5), 5), and Business Insights (4.22/5)

Monitoring 245

Monitoring Innovation Mobile Strategy 245

Dynatrace

MARCH 17, 2025

Until recently, improvements in data center power efficiency compensated almost entirely for the increasing demand for computing resources. The rise of big data, cryptocurrencies, and AI means the IT sector contributes significantly to global greenhouse gas emissions. However, this trend is now reversing.

Software Engineering 147

Software Engineering Engineering Software Software 147

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Failures can occur unpredictably across various levels, from physical infrastructure to software layers. Recovery time of the latency p90.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

FEBRUARY 20, 2025

AWS Security Hub findings AWS Security Hub provides a great way of aggregating security findings, especially those related to cloud infrastructure. It can also be challenging to construct a full view of one’s security exposures when analyzing security findings across various environments and cloud infrastructures.

AWS 195

AWS Efficiency Infrastructure Cloud 195

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. Customer decisions about data retention are often determined by important security, privacy, and legal issues.

Analytics 246

Analytics Storage Infrastructure Metrics 246