Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. However, there are many obstacles and limitations along the way to becoming a data-driven organization.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

FEBRUARY 2, 2022

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels. Dynatrace news.

Azure 325

Azure Availability Hardware Innovation 325

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 234

Processing Data Engineering Efficiency Analytics 234

Dynatrace

FEBRUARY 4, 2025

A production bug is the worst; besides impacting customer experience, you need special access privileges, making the process far more time-consuming. It also makes the process risky as production servers might be more exposed, leading to the need for real-time production data. This cumbersome process should not be the norm.

Open Source 223

Open Source Code Engineering Best Practices 223

Dynatrace

OCTOBER 23, 2024

With the Distributed Tracing app, you can flexibly slice and dice raw trace data to understand what went wrong and why. Find what you’re looking for faster with: Enhanced charting and data visualization: Easily filter, group, search, and visualize trace data to gain deeper insights into your system’s behavior.

Tuning 299

Tuning Website Availability Performance 299

Dynatrace

DECEMBER 12, 2024

Boost your operational resilience: Combining availability and security is now essential. Move beyond logs-only security: Embrace a comprehensive, end-to-end approach that integrates all data from observability and security. Dynatrace unifies all the different data types at scale and in context.

Analytics 289

Analytics Government Efficiency Innovation 289

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

Scalegrid

SEPTEMBER 5, 2024

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. It reduces downtime and supports business continuity.

Availability 257

Availability Servers Database Open Source 257

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 279

Processing Monitoring Analytics C++ 279

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

MAY 17, 2022

By taking advantage of native Kubernetes standards, Dynatrace Cloud Native Full Stack injection empowers you to precisely provide the data that your teams need in exceptionally fast and automated ways. These situations apply to organizations that are looking to: Onboard teams to Kubernetes observability data as quickly as possible.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

NOVEMBER 27, 2024

Sometimes, introducing new IT solutions is delayed or canceled because a single business unit can’t manage the operating costs alone, and per-department cost insights that could facilitate cost sharing aren’t available. In scenarios like these, automated and precise cost allocation can make a huge difference.

Best Practices 246

Best Practices Strategy Cloud Efficiency 246

Dynatrace

JULY 15, 2024

As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. Our script, available on GitHub , provides details. Are the corresponding services running on those hosts?

Availability 246

Availability Network Monitoring Infrastructure 246

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

OCTOBER 10, 2024

You’re gathering a lot of data, but you can’t make sense of it. A histogram is a specific type of metric that allows users to understand the distribution of data points over a period of time. In practice, histograms are useful when the measurement distribution is relevant and the data sets are large.

Metrics 240

Metrics Monitoring Efficiency Availability 240

Dynatrace

SEPTEMBER 27, 2024

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

Processing 263

Processing Retail Analytics Monitoring 263

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 18, 2024

AI transformation, modernization, managing intelligent apps, safeguarding data, and accelerating productivity are all key themes at Microsoft Ignite 2024. Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

Dynatrace

MARCH 5, 2025

The newly introduced step-by-step guidance streamlines the process, while quick data flow validation accelerates the onboarding experience even for power users. Step-by-step setup The log ingestion wizard guides you through the prerequisites and provides ready-to-use command examples to start the installation process.

Open Source 211

Open Source IoT Cloud Azure 211

Dynatrace

OCTOBER 14, 2024

ABAC has several advantages: Enhanced security , providing granular control over access permissions, significantly reducing the risk of data breaches and unauthorized activities. High granularity by segmenting resource and record-level data, ensuring that access decisions are precise and context-aware.

Monitoring 246

Monitoring Metrics Systems Scalability 246

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Successful compliance with privacy rights requests involves tracking and verifying requests across the entire data ecosystem, including third-party services.

Tuning 278

Tuning Scalability Efficiency Processing 278

Dynatrace

JULY 24, 2024

IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications.

Availability 279

Availability Infrastructure Metrics Monitoring 279

Dynatrace

OCTOBER 3, 2024

The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability.

Availability 278

Availability DevOps Analytics Cloud 278

The Netflix TechBlog

FEBRUARY 14, 2025

Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure.

Tuning 166

Tuning Latency Efficiency Storage 166

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

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. Performance is usually a primary concern when using stream processing frameworks. This significantly increases event latency.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

JANUARY 22, 2025

Dynatrace Simple Workflows make this process automatic and frictionlessthere is no additional cost for workflows. Why manual alerting falls short As your product and deployments scale horizontally and vertically, the sheer volume of data makes it impossible for teams to catch every error quickly using manual processes.

Development 245

Development Processing Monitoring Code 245

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 271

Data Engineering Engineering Processing Games 271

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

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 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

Metrics 264

Metrics Analytics Monitoring Efficiency 264

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 243

Media Traffic Processing Design 243

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

AUGUST 20, 2024

Driven by that value, Dynatrace brings real-time observability, security, and business data into context and makes sense of it so our customers can get answers, automate, predict, and prevent. Executives are sitting on a goldmine of data, and they don’t know it.

Analytics 285

Analytics Latency Processing Systems 285

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

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns.

Latency 260

Latency Storage Cache Servers 260