Dynatrace

MARCH 5, 2025

The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. 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 18, 2024

As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. Drive efficiency and get more value out your logs with this predictable pricing model while youre building your log analytics practices.

Analytics 246

Analytics Best Practices Efficiency Storage 246

The Netflix TechBlog

MARCH 31, 2025

The industry has always innovated, and over the last decade, it started moving towards cloud-based workflows. However, unlocking cloud innovation and all its benefits on a global scale has proven to be difficult. The need for a centralized, cloud-based solution that transcends these barriers is more pressing than ever.

Media 203

Media Logistics Innovation Cloud 203

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. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

Analytics 212

Analytics Engineering Entertainment Metrics 212

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. It is worth pointing out that cloud processing is always subject to variable network conditions.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Architecture 290

Architecture Efficiency Energy Monitoring 290

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Cloud 260

Cloud Systems Analytics DevOps 260

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. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 264

Google Cloud Serverless Innovation 264

The Netflix TechBlog

NOVEMBER 12, 2024

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Let’s examine some of the drawbacks of this approach: Lack of Idempotency : There is no idempotency key baked into the storage data-model preventing users from safely retrying requests.

Latency 251

Latency Cache Infrastructure Strategy 251

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? Moreover, most organizations use a combination of cloud-based and on-premises infrastructure.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Assemble and decrypt parts? —?Our Mount multiple objects? — ?

Media 218

Media Storage Processing Cache 218

The Netflix TechBlog

APRIL 8, 2025

In cloud environments, IP addresses are reassigned to different workloads as workload instances are created and terminated, so IP addresses alone cannot provide insights on which workloads are communicating. Although more efficient broadcasting implementations exist, the Kafka-based approach is simple and has worked well forus.

AWS 167

AWS Traffic Network Programming 167

Scalegrid

FEBRUARY 6, 2025

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

MARCH 11, 2025

Whether you’re using OpenTelemetry or OneAgent, operating in the cloud or on-premiseswe’ve got you covered. Say hello to advanced trace an alytics and new data storage and capture options. This precision reduces storage costs while ensuring you retain the data that matters most.

Analytics 165

Analytics Games Innovation Metrics 165

Dynatrace

SEPTEMBER 27, 2024

The methodology and algorithms were designed by Dynatrace with guidance from the Sustainable Digital Infrastructure Alliance (SDIA), expanding on formulas from the open source project Cloud Carbon Footprint. We can calculate an average carbon intensity for every host and cloud region with those two summarized values.

Energy 246

Energy Infrastructure Cloud Best Practices 246

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 7, 2021

For many companies, the journey to modern cloud applications starts with serverless. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. As data volumes rapidly increase, streamlined data storage is a top priority. Dynatrace news. Reliability.

Serverless 325

Serverless AWS Lambda Storage 325

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient. What is AI observability?

Strategy 288

Strategy Artificial Intelligence Storage Cloud 288

High Scalability

DECEMBER 16, 2022

Explain cloud computing to me at a professional level? Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Another key benefit of cloud computing is its reliability and availability. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

APRIL 4, 2025

Thanks to its structured and binary format, Journald is quick and efficient. Why unified observability boosts productivity While journalctl is a powerful local tool with local filtering capabilities, it doesn’t scale well, especially considering the globally distributed components of today’s hybrid/cloud-hosted environments.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

DZone

JUNE 28, 2024

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if less effective, storage array choices. Even though they are quite costly, SSDs and flash can be categorized as high-performance storage classes.

Azure 223

Azure Storage Performance Cloud 223

Dynatrace

AUGUST 28, 2020

Fully automated observability into your Azure multi-cloud environment. You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. Azure Data Lake Storage Gen1. Simplify cloud operations with full visibility into your Azure Automation accounts. Azure Logic Apps. Azure Event Grid.

Azure 235

Azure Cloud Tuning Monitoring 235

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Multicloud harnesses diverse cloud services to boost flexibility, while hybrid cloud merges public and private clouds for enhanced control. What is Multi-Cloud? But what do these entail?

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

Dynatrace

OCTOBER 4, 2022

This is because logs may be generated from thousands of applications, built by different teams, and spread across a complex global landscape of cloud and on-premises environments. In most data storage models, indexing engines enable faster access to query logs. A modern approach to log analytics stores data without indexing.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Ingest and process with Grail.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

DZone

APRIL 11, 2023

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246

Azure Analytics Storage Cloud 246

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. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

AUGUST 1, 2022

You quickly realize that it will take ages to fill up the overprovisioned database storage. Two days later, your database runs out of storage in the middle of the night. Therefore, you don’t know your current growth rate and can’t estimate the required storage for keeping the database up and running for the next month.

Storage 246

Storage Database Network Metrics 246

Dynatrace

AUGUST 5, 2019

Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. If you can answer all these questions fine – if not: get your own Dynatrace Trial and start installing OneAgents.

Cloud 38

Cloud Traffic Database Network 38

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency 260

Latency Storage Cache Servers 260

High Scalability

OCTOBER 24, 2022

There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.

Cloud 187

Cloud Hardware Infrastructure Innovation 187