The Netflix TechBlog

FEBRUARY 13, 2020

Brief overview of image coding formats The JPEG format was introduced in 1992 and is widely popular. This is followed by quantization and entropy coding. With the motion extension, it was accepted as the video coding standard for digital cinema in 2004. Webp is based on intra-frame coding from the VP8 video coding format.

Code 212

Code Metrics Efficiency Open Source 212

Dynatrace

OCTOBER 30, 2023

Everything as code: GitOps as the standard Observability as code is used to programmatically define observability and security. Unified observability and security in the development process are crucial to defining ownership in the development process. Everything is ‘as code’ in Dynatrace,” said Reitbauer.

Engineering 250

Engineering DevOps Innovation Storage 250

Dynatrace

MAY 14, 2020

Dynatrace has been building automated distributed application instrumentation—without the need to modify source code—for over 15 years already. Dynatrace PurePath technology captures and analyzes transactions end to end across every tier of your application technology stack, from the browser all the way down to the code and database level.

Processing 157

Processing Hardware Traffic Storage 157

DZone

FEBRUARY 23, 2023

Introduction With big data streaming platform and event ingestion service Azure Event Hubs , millions of events can be received and processed in a single second. Any real-time analytics provider or batching/storage adaptor can transform and store data supplied to an event hub.

Azure 294

Azure Big Data Analytics Storage 294

DZone

JUNE 15, 2023

It is worth noting that this data collection process does not impact the performance of the application. However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. Massively parallel processing. Query language.

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

OCTOBER 23, 2023

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

Efficiency 220

Efficiency Virtualization Hardware Performance 220

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. " A tenant should not be able to see the code or data of other tenants (isolation).

Serverless 99

Serverless Storage Latency Cloud 99

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). Ingest and process.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

NOVEMBER 28, 2023

Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production. To illustrate this concept, consider the scenario below.

Traffic 266

Traffic Best Practices Strategy Engineering 266

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 286

Serverless AWS Lambda Storage 286

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. Retain data.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Better-quality code. Cold storage and rehydration. Cold storage and rehydration. Dynatrace news. What is log analytics? Inadequate context.

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

OCTOBER 14, 2022

To further enrich log data for automated observability, it’s necessary to dynamically tie logs to distributed traces on the code level, user sessions in the app front-end, and the topology of your IT landscape. OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules.

Storage 232

Storage Government Network Infrastructure 232

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. Also, see how to automate this process with bicep and how to automate with Azure CLI.

Azure 221

Azure Cloud Metrics Innovation 221

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Better-quality code. Cold storage and rehydration. Cold storage and rehydration. Dynatrace news. What is log analytics? Inadequate context.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

JANUARY 11, 2023

In the process, they’re adopting more tools and technologies. These integrations often require resource-intensive coding, which makes them error-prone and difficult to maintain. These tools also lack IT context—an awareness of the systems and processes responsible for the business data. High storage costs.

Analytics 194

Analytics Strategy Storage Technology 194

Dynatrace

OCTOBER 4, 2022

Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Additionally, it provides index-free storage and direct analytics access to source data without requiring data rehydration. Consider the data needed and its source.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

OCTOBER 4, 2022

Each process could generate multiple log entries, adding up to terabytes of data every day. where an error occurred at the code level. Traditionally, teams struggle to centralize all these data silos through the process of indexing. In most data storage models, indexing engines enable faster access to query logs.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Automated risk management workflows, processes, and decisions. Automated issue resolution.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

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. The emergence of Docker and other container services enabled companies to transport code quickly and easily.

Serverless 221

Serverless Azure Hardware Transportation 221

Dynatrace

FEBRUARY 2, 2023

At the same time, deep payload inspection makes it easy to extract important business data locked in application payloads—without writing any code. When combined with Dynatrace Grail™, business events gain long-term, cost-effective storage, unaggregated granularity, instant indexless queries, and automatic Smartscape ® topology context.

Analytics 207

Analytics Metrics DevOps Storage 207

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

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. step in to simplify this task.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. DevOps maturity is a model that measures the completeness and effectiveness of an organization’s processes for software development, delivery, operations, and monitoring. What is DevOps maturity?

DevOps 189

DevOps Analytics Storage Metrics 189

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. Until now, all OneAgent runtime files were stored in a fixed, hard-coded location. Improved code module injection resiliency. Storage and network transfer of files is a measurable cost.

Storage 150

Storage Latency Operating System Network 150

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

Smashing Magazine

NOVEMBER 2, 2021

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. One of the reasons for that is because a PWA has the same code base. So unlike the case with native applications, the progressive web app needs to be coded only once. Alex Husar.

Code 74

Code Cache Retail Mobile 74

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

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 25, 2022

Building on the success of DevOps practices, GitOps is a relatively new way to manage infrastructure through code and automation, around a single Git repository (or a storage system for all the changes and files that relate to a given project). Development teams use GitOps to specify their infrastructure requirements in code.

DevOps 230

DevOps Infrastructure Speed Cloud 230

Particular Software

JULY 12, 2021

In your back-end system, you might benefit from event-driven architecture, automatic message retries, and orchestration of long-running business processes. Ideally, a message receiver could process an incoming message without requiring any specific header. But we can’t expect Ruby code to set that header.

Processing 52

Processing Transportation Azure C++ 52

Dynatrace

DECEMBER 16, 2020

Typically, the attackers attempt to exploit some weakness in the vendor’s development or delivery life cycle and attempt to inject malicious code before an application is signed and certified. It all starts with the code. Dynatrace has established a secure SDL, which automatically enforces that all developed code is reviewed by a peer.

Software 239

Software Software Development AWS 239

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

JANUARY 18, 2023

These include the following highlights: Long-term cost-effective storage to support seasonal trending and forecasting. Instant indexless storage to support unanticipated retrospective questions. There are other characteristics important for business use cases, delivered through Grail and Dynatrace Query Language (DQL).

Analytics 232

Analytics Retail Storage Monitoring 232

Dynatrace

JUNE 6, 2023

Container orchestration platforms automate daily operations for processes such as the re-creation of failed containers and rolling deployments. Traditional storage solutions were not created to address these requirements, which are common among modern deployments. This helps to avoid downtime for end users. Automated scaling.

Open Source 198

Open Source Storage Analytics Innovation 198

Dynatrace

MARCH 27, 2024

Dynatrace integration with AWS AppFabric for security The AWS AppFabric for security feature fully manages the integrations with over 25 applications so customers can get started tracking application security in just a few clicks—no coding required. Leckenby, senior director worldwide alliance sales at Dynatrace.

AWS 250

AWS Analytics Government Monitoring 250