The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 209

Storage Latency Efficiency Data Engineering 209

Dynatrace

OCTOBER 1, 2020

To extend Dynatrace diagnostic visibility into network traffic, we’ve added out-of-the-box DNS request tracking to our infrastructure monitoring capabilities. Ensure high quality network traffic by tracking DNS requests out-of-the-box. Slower response times can be a sign of a stressed DNS server or network communication issues.

Traffic 264

Traffic Network Infrastructure Artificial Intelligence 264

DZone

AUGUST 14, 2019

Organizations are in search of improving network agility, but what exactly does this mean? Network agility is represented by the volume of change in the network over a period of time and is defined as the capability for software and hardware component’s to automatically configure and control itself in a complex networking ecosystem.

Network 177

Network Innovation Hardware DevOps 177

DZone

JUNE 25, 2019

It’s really scary knowing that such corruptions are happening in the memory of our computers and servers – that is before they even reach the network and storage portions of the stack. That data must then be safely transported over a network to the storage system where it is written to disk.

Storage 131

Storage Systems Transportation Network 131

DZone

JUNE 3, 2019

Normally, GPU nodes don't have much room for SSDs, which limits the opportunity to train very deep neural networks that need more data. For example, one well-respected vendor's standard solution is limited to 7.5TB of internal storage, and it can only scale to 30TB.

Storage 100

Storage Performance Network Scalability 100

Dynatrace

SEPTEMBER 5, 2024

Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

Innovation 271

Innovation AWS Analytics Storage 271

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 248

Latency Storage Cache Efficiency 248

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 211

Infrastructure Storage Virtualization Network 211

Dynatrace

OCTOBER 23, 2023

Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult.

Efficiency 225

Efficiency Virtualization Hardware Performance 225

DZone

JUNE 6, 2023

When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with. A messaging protocol is a set of rules and formats that are agreed upon among entities that want to communicate with each other.

IoT 305

IoT Tuning Storage Network 305

Dynatrace

JUNE 10, 2024

They can also develop proactive security measures capable of stopping threats before they breach network defenses. For example, an organization might use security analytics tools to monitor user behavior and network traffic. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse.

Analytics 242

Analytics Network Hardware Open Source 242

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage. joins) during query processing. Disaggregation (or not).

Storage 112

Storage Engineering Cache Serverless 112

Scalegrid

SEPTEMBER 10, 2024

Additionally, we now support Shared VPC on Google Cloud Platform (GCP) , making managing and sharing resources across multiple projects easier while keeping your network streamlined and secure. This update allows customers to scale storage more flexibly, based on their current needs, without incurring unnecessary costs.

Latency 130

Latency AWS Storage Tuning 130

Dynatrace

NOVEMBER 9, 2023

Performance monitoring Dynatrace can collect performance metrics from Nutanix clusters, including latency, IOPS (Input/Output Operations Per Second), and network throughput. Storage container metrics Track the usage and performance of storage containers to optimize resource allocation.

Virtualization 204

Virtualization Storage Metrics Monitoring 204

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Some of the keys of understanding the user network are listed below.

Design 334

Design Media Storage Logistics 334

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Cloud 99

DZone

MAY 16, 2023

Virtualization is a technology that can create servers, storage devices, and networks all in virtual space. Devices connect to a virtual network to share data and resources. One area that virtualization technology is making a huge impact is the security sector. How Is Virtualization Technology Used?

Virtualization 195

Virtualization Hardware Storage Network 195

Dynatrace

AUGUST 1, 2022

For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. You quickly realize that it will take ages to fill up the overprovisioned database storage. Unexpectedly, a famous influencer notices your social network and promotes it all over their other channels.

Storage 198

Storage Database Network Metrics 198

The Netflix TechBlog

OCTOBER 8, 2024

Challenges At Netflix, temporal data is continuously generated and utilized, whether from user interactions like video-play events, asset impressions, or complex micro-service network activities. Storage Layer The storage layer for TimeSeries comprises a primary data store and an optional index data store.

Latency 236

Latency Storage Traffic Tuning 236

Dynatrace

JUNE 6, 2023

Networking. Large-scale, multicloud deployments can introduce challenges related to network visibility and interoperability. Traditional ways of operating networks using static IPs and ports simply don’t work in dynamic Kubernetes environments. Bad actors can use misconfigurations to gain access to sensitive data.

Open Source 203

Open Source Storage Analytics Innovation 203

DZone

MARCH 2, 2023

Not only has near-infinitely scalable cloud storage reduced the burden of storing large video files, but CDNs (content delivery networks) deployed by video streaming and social media giants in this timeframe have all but eliminated those slow server-to-client buffering times, which initially plagued the user experience.

Social Media 279

Social Media Java Traffic Internet 279

Dynatrace

NOVEMBER 6, 2023

But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge. Moreover, edge environments can be highly dynamic, with devices frequently joining and leaving the network. Remote management and automated alerting are, therefore, crucial.

Retail 269

Retail Storage Analytics Cloud 269

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. In this blog, we will discuss both data and network-level compression offered in MongoDB.

Storage 112

Storage Network Open Source Latency 112

DZone

JANUARY 23, 2022

Datacenter - data center failure where the whole DC could become unavailable due to power failure, network connectivity failure, environmental catastrophe, etc. Redundancy in power, network, cooling systems, and possibly everything else relevant. this is addressed through monitoring and redundancy. Again the approach here is the same.

Hardware 243

Hardware DevOps Network Storage 243

Dynatrace

JANUARY 11, 2023

Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions.

Cloud 231

Cloud Monitoring Best Practices Infrastructure 231

DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 150

Data Engineering Infrastructure Code Engineering 150

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 21, 2024

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.

Engineering 202

Engineering Systems Latency Metrics 202

Scalegrid

MARCH 11, 2024

Notably, RabbitMQ on Linode has significantly improved, ensuring quicker incident responses, enhanced service-level monitoring, and robust network-level trace capabilities. These updates improve the operational efficiency of databases managed through ScaleGrid and enhance our users’ security and ease of access.

AWS 130

AWS Storage Virtualization Database 130

DZone

AUGUST 18, 2023

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. Edge data platforms are software solutions that enable businesses to collect, process, and analyze data at the edge of the network.

IoT 130

IoT Media Latency Storage 130

DZone

JANUARY 31, 2024

Key Components in SIEM Log Collection: SEIM systems collect and aggregate log data from Various sources across an organization’s network, including servers, endpoints, firewalls, applications, and other devices. For example, in big organizations, the Linux logs may be around 10 billion, and firewall logs may be around five billion per day.

Data Engineering 145

Data Engineering Storage Network Infrastructure 145

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Load time and network latency metrics. Minimize network requests.

Best Practices 209

Best Practices Mobile Metrics Performance 209

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. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Cloud 194

Cloud Systems Analytics DevOps 194

DZone

MARCH 20, 2024

Embedded within the Linux kernel, KVM empowers the creation of VMs with their virtualized hardware components, such as CPUs, memory, storage, and network cards, essentially mimicking a machine. It allows physical servers to serve as hypervisor hosting machines ( VMs ).

Virtualization 124

Virtualization Hardware Open Source Storage 124

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. And this expansion shows no sign of slowing down.

Analytics 244

Analytics Artificial Intelligence Storage Serverless 244

Dynatrace

OCTOBER 14, 2022

Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams. To control local network data volume and potential congestion, Dynatrace also allows filtering of log data on-source—by specific host, service, or even log content—before data is sent to the cloud.

Storage 238

Storage Government Network Monitoring 238