Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata. either a movie or an episode within a show).

Media 290

Media Storage Infrastructure Systems 290

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. Host group.

Storage 232

Storage Government Network Infrastructure 232

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. For example, uptime detection can identify database instability and help to improve mean time to restoration. Cloud storage monitoring. Website monitoring.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

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 240

Analytics Artificial Intelligence Storage Serverless 240

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

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. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight. Dynatrace news.

Systems 189

Systems Cloud Analytics DevOps 189

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 105

Storage Network Open Source Latency 105

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 252

AWS Efficiency Azure Cloud 252

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets. The first set (Fig.

Open Source 252

Open Source Software Engineering Internet Internet 252

Dynatrace

DECEMBER 18, 2023

This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs. But often, we use additional services and solutions within our environment for backups, storage, networking, and more. Our goal was to filter for metrics that deliver the data we need while minimizing storage costs.

Metrics 183

Metrics Engineering Energy Tuning 183

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which The process started with manual pull of member account information that was part of the session. We use Mantis for processing the stream of collected traces, and we use Cassandra for storing traces.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JULY 25, 2022

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. What is AWS Transit Gateway? What is VPC Flow Logs. What can you expect from VPC Flow Logs for Transit Gateway.

AWS 223

AWS Transportation Network Traffic 223

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. Customizable location of large runtime files.

Storage 150

Storage Latency Operating System Network 150

The Netflix TechBlog

NOVEMBER 15, 2022

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. This program is just one example of the many ways Netflix strives to entertain the world. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Dynatrace

JANUARY 22, 2024

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. However, correlation does not imply causation.

Artificial Intelligence 213

Artificial Intelligence Healthcare Retail Government 213

Dynatrace

DECEMBER 16, 2020

Track changes via our change management process. Access to source code repositories is limited on both the network and the user level. Source code management systems are only accessible from within the Dynatrace corporate network. Remote access to the Dynatrace corporate network requires multi-factor authentication (MFA).

Software 239

Software Software Development AWS 239

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

OCTOBER 17, 2023

How IT operations teams can de-silo monitoring data According to the Gartner report, “IT operations practitioners may be in specific silos, such as the network team, server team, virtualization team, application support team or other cross-functional teams (such as a generalized monitoring team).

Monitoring 231

Monitoring Artificial Intelligence Performance Analytics 231

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

AUGUST 27, 2020

The latest batch of services cover databases, networks, machine learning and computing. AWS Storage Gateway. We’ve selected two example services: Amazon Sagemaker and Amazon Neptune ,, for this purpose. Top use cases include recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

AWS 272

AWS Cloud IoT Database 272

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. Process portability. IaaS provides direct access to compute resources such as servers, storage, and networks.

Serverless 221

Serverless Azure Hardware Transportation 221

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

Percona

MAY 29, 2023

pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. Once installed, configure the Custom Resource manifest so that pgBackrest starts using the Object Storage of your choice. In this case, you can be sure that Main really failed, and it is not a network split situation.

Storage 118

Storage Cloud Network Traffic 118

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. Let’s dig into these foundation SLOs.

Latency 182

Latency Website Traffic Virtualization 182

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Additionally, it discov ers all processes running on the h ost and automatically activates instrumentation throughout the application stack. .

Analytics 246

Analytics Infrastructure AWS Operating System 246

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. The reason lies in the unique advantages that come from utilizing a hybrid cloud.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

JUNE 16, 2020

One key requirement of a microservices architecture is the ability to make information of all kinds available wherever and whenever it’s needed, without putting undue traffic on corporate and public networks. Dynatrace OneAgent has been able to detect TIBCO EMS processes out-of-the-box for some time already. Synchronous storage size.

Storage 133

Storage Metrics Java Architecture 133

Scalegrid

JANUARY 19, 2024

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. Save on costs for hardware and network bandwidth to optimize total cost of ownership.

Availability 251

Availability Hardware Latency Traffic 251

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 209

Monitoring Social Media IoT Metrics 209

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. For example, an Amazon Elastic Compute Cloud (EC2) instance with Graviton2 processors will be a better choice than non-ARM options, as it’s cheaper, and you will get real and faster cores which means the CPU cores are physical and not with hyper-threading.

Cloud 116

Cloud Serverless AWS Storage 116