The Netflix TechBlog

SEPTEMBER 24, 2021

The ProRes codec family provides great editing performance and image quality. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

The Morning Paper

NOVEMBER 8, 2020

Virtual consensus in Delos , Balakrishnan et al. While ultimately this new system should be able to take advantage of the latest advances in consensus for improved performance, that’s not realistic given a 6-9 month in-production target. We propose the novel abstraction of a virtual shared log (or VirtualLog).

Virtualization 126

Virtualization Latency Storage Systems 126

Dynatrace

FEBRUARY 4, 2025

Cloud environments are vast and constantly evolving, making manual identification of misconfigurations virtually impossible. Rising compliance demands Businesses today are under immense pressure to keep up with stringent regulations surrounding data storage, processing, and access.

Cloud 130

Cloud Virtualization Efficiency Best Practices 130

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 110

Virtualization AWS Hardware Storage 110

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. This allowed for sequential access and indexed access, but random writes could cause performance issues.

Storage 130

Storage Engineering Cache Database 130

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. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

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

Dynatrace

SEPTEMBER 15, 2020

Dynatrace can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”. Joshua Burgin, General Manager, AWS Outposts, Amazon Web Services, Inc. What is AWS Outposts?

AWS 275

AWS Design Cloud Storage 275

Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. In this post, we outline the best way to host MySQL on Azure , including managed solutions, instance types, high availability replication, backup, and disk types to use to optimize your cloud database performance. Azure Virtual Networks.

Azure 219

Azure Cloud Virtualization Database 219

DZone

JULY 19, 2023

To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. Alongside the transition to the cloud, Enel embraced virtualization to maximize the utilization of its IT resources.

Virtualization 130

Virtualization Scalability Energy Cloud 130

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. Cold storage and rehydration. Cold storage and rehydration. Fault isolation. Indexing overhead.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. Cold storage and rehydration. Cold storage and rehydration. Fault isolation. Indexing overhead.

Analytics 245

Analytics Storage Retail DevOps 245

DZone

MARCH 19, 2021

Virtual machine images are examples of spare files. For instance, when I create a VirtualBox machine and assign it a maximum storage of 100Gb, only the storage corresponding to the actual data in the machine is consumed. Reading a hole returns a null byte.

Storage 219

Storage Virtualization Systems Performance 219

Dynatrace

SEPTEMBER 5, 2024

Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times. Dynatrace support for AWS Firehose includes Lambda logs, Amazon virtual private cloud (VPC) flow logs, S3 logs, and CloudWatch.

Innovation 290

Innovation AWS Analytics Storage 290

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. For such workloads, shared-nothing architectures beget high cost, inflexibility, poor performance, and inefficiency, which hurts production applications and cluster deployments. joins) during query processing. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

JANUARY 23, 2024

These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further.

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

FEBRUARY 24, 2025

Business processes support virtually all aspects of an organizations operations. Enter business process observability Business process observability determines process health and performance through data gathered at each step, leveraging appropriate levels of system monitoring or interfaces.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

OCTOBER 1, 2020

Applications and services are often slowed down by under-performing DNS communications or misconfigured DNS servers, which can result in frustrated customers uninstalling your application. Identify under-performing DNS servers. Network device visibility (hosts, switches, routers, storage devices). Average query response time.

Traffic 264

Traffic Network Infrastructure Artificial Intelligence 264

DZone

MAY 22, 2019

Today when we create a Hive table, it is a common technique to partition the table across different values and ranges to improve query performance and reduce maintenance cost. However, Hive cannot access a single table directly using a single query with the data of this Hive table across different mediums of storage and different clusters.

Storage 100

Storage Systems Virtualization Cloud 100

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 237

Virtualization Infrastructure Monitoring Cloud 237

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 358

Open Source Java Operating System Programming 358

DZone

APRIL 26, 2019

In the era of Digital Transformation (DX) the IT landscape has expanded to environments that rely extensively on virtualization, hyper-converged infrastructure (HCI), and cloud computing. As a result, the number of servers and the quantity of traffic have been exploding exponentially.

Azure 145

Azure Traffic Virtualization Performance 145

Dynatrace

AUGUST 27, 2020

AWS Storage Gateway. Additionally, Dynatrace creates predefined dashboard templates to visualize each service usage and performance. Ensure high application performance by easily troubleshooting Amazon Neptune graph database. Dynatrace analyzes Amazon Neptune performance of resources (CPU, memory, network), requests and errors.

AWS 279

AWS Cloud IoT Database 279

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Platform performance —get visibility into the performance of the Citrix platform to optimize application delivery.

Latency 164

Latency Performance Virtualization Infrastructure 164

Dynatrace

JUNE 1, 2023

Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. SLOs are a valuable tool for organizations to ensure the health and performance of their applications. But how do you get started, and what are some service level objective examples?

Latency 245

Latency Website Traffic DevOps 245

Dynatrace

AUGUST 21, 2024

In distributed or microservices environments, application teams often lack visibility into how their service will perform under diverse conditions across other services or the entire system. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.

Engineering 262

Engineering Systems Latency Metrics 262

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. Amazon’s AWS monitoring and observability service, CloudWatch, monitors applications, resource usage, and system-wide performance for AWS-hosted environments.

Best Practices 246

Best Practices AWS Monitoring Serverless 246

Dynatrace

JULY 25, 2022

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs.

AWS 246

AWS Transportation Network Traffic 246

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

AUGUST 24, 2020

Dynatrace VMware and virtualization documentation . Regardless of if your infrastructure is deployed on-premises or managed on a public cloud, your infrastructure still relies on conventional components, like servers, networks, and storages that should be included in your monitoring strategy. OneAgent and its Operator .

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

SEPTEMBER 7, 2022

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Why Dynatrace?

Traffic 246

Traffic AWS Network Cloud 246

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

All Things Distributed

JULY 19, 2012

High Performance I/O Instances for Amazon EC2. These include the likes of high performance computation, for which we introduced the Cluster Compute and Cluster GPU instance types. These include the likes of high performance computation, for which we introduced the Cluster Compute and Cluster GPU instance types. Comments ().

Cloud 116

Cloud Performance AWS Virtualization 116

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work?

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. Manual tasks like shutting down virtual machines in bulk or creating database backups can be error prone. Understand the performance and status of Azure Logic Apps workflows. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1. Azure Data Factory v2. Azure Data Lake Analytics.

Azure 235

Azure Cloud Tuning Monitoring 235