The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 237

Media Traffic Processing Design 237

Dynatrace

NOVEMBER 6, 2023

Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India.

AWS 240

AWS Azure Tuning Analytics 240

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 182

Azure Analytics Artificial Intelligence Innovation 182

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

DZone

DECEMBER 28, 2023

Here I am going to show the power of SQL Loader + Unix Script utility where multiple data files can be loaded by the SQL loader with automated shell scripts. This would be useful while dealing with large chunks of data and when data needs to be moved from one system to another system.

Programming 161

Programming Systems Availability Processing 161

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

AUGUST 22, 2019

In the final post of this series, we will review the last solution, Patroni by Zalando, and compare all three at the end so you can determine which high availability framework is best for your PostgreSQL hosting deployment. Managing High Availability in PostgreSQL – Part I: PostgreSQL Automatic Failover. Kill the PostgreSQL process.

Availability 277

Availability Servers Network Open Source 277

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. Modern observability necessitates a holistic approach to collecting, processing, and analyzing data.

Monitoring 154

Monitoring Education Technology Technology 154

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 229

Storage Government Network Infrastructure 229

Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Grail buckets function like folders in a file system.

Storage 168

Storage Healthcare Best Practices Speed 168

DZone

JANUARY 9, 2024

In the data-driven landscape of today, automation has become indispensable across industries, not just to maximize efficiency but, more importantly, to ensure quality. This holds true for the critical field of data engineering as well. This comprehensive guide takes an in-depth look at automated testing in the data engineering domain.

Data Engineering 130

Data Engineering Efficiency Engineering Testing 130

Dynatrace

APRIL 24, 2024

To transparently manage expectations and maintain trust with our customers, we expanded the Dynatrace SLA beyond accessing the user interface to cover the full range of relevant product categories, such as processing and retaining incoming data, accessing and working with data, and triggering automations.

Azure 242

Azure Infrastructure Metrics AWS 242

Percona

OCTOBER 10, 2023

This is not a general rule, but as databases are responsible for a core layer of any IT system – data storage and processing — they require reliability. Availability solutions – Advanced backups, including physical backups and point-in-time recovery that are not available to MongoDB Community Edition.

Availability 105

Availability Servers Database Open Source 105

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. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

SQL Shack

SEPTEMBER 23, 2020

In this 26th article for SQL Server Always On Availability Groups series, we will discuss the process to suspend and resume data movements between AG replicas.

Availability 104

Availability Servers Network Processing 104

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 187

Analytics Java Infrastructure Cloud 187

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer on the Product Data Science and Engineering team.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192

Scalegrid

MARCH 12, 2019

Are you deploying PostgreSQL in the cloud and want to understand your options for achieving high availability? In our previous blog post, Managing High Availability in PostgreSQL – Part I , we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by ClusterLabs. High Availability Test Scenarios.

Availability 147

Availability Servers Open Source Database 147

All Things Distributed

MARCH 31, 2015

As you all know security, privacy, and protection of our customer’s data is our number one priority and as such we work very closely with regulators to ensure that customers can be assured that they are getting the right protections when processing and storing data in the AWS.

Processing 126

Processing AWS Media Education 126

High Scalability

APRIL 16, 2019

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

Availability 149

Availability Network Azure AWS 149

Percona

JULY 24, 2023

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). Contact me through any channels (we do have our Jira open to the Community, my email is available in the footnote, and I am present on LinkedIn).

Availability 80

Availability Open Source Strategy Storage 80

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

Metrics 215

Metrics Network Monitoring Infrastructure 215

Official Blog - World Web Technology

DECEMBER 4, 2023

How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC is an essential framework for the total software development process as it aids in managing software development projects effectively.

Processing 64

Processing Software Software Development 64

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.

Cache 246

Cache Scalability Performance Latency 246

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

DZone

JULY 3, 2019

Mule Enterprise Edition supports scalable clustering to provide high availability (HA) for applications. High availability is essential for any organizations interested in protecting their business against the risk of a system outage, loss of transactional data, incomplete data, or message processing errors.

Availability 100

Availability Virtualization Scalability Engineering 100

Dynatrace

OCTOBER 10, 2023

EdgeConnect provides a secure bridge for SaaS-heavy companies like Dynatrace, which hosts numerous systems and data behind VPNs. EdgeConnect facilitates seamless interaction, ensuring data security and operational efficiency. EdgeConnect is designed to forward HTTP(s) requests exclusively, ensuring secure data transmission.

Systems 222

Systems Efficiency Internet Internet 222

Dynatrace

APRIL 16, 2019

We’re proud to announce the general availability of OneAgent full-stack monitoring for the AIX operating system. While cloud-native applications often grab the lion’s share of headlines in the tech world, the data-center-native applications that many modern applications rely on still play an important role in nearly every industry.

Availability 103

Availability Monitoring Metrics Operating System 103

Dynatrace

SEPTEMBER 23, 2020

Recent improvements in OneAgent runtime-data handling. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. There is an additional /mnt/storage network drive mount that is available for high latency, large storage purposes.

Storage 148

Storage Latency Operating System Network 148

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 235

Best Practices Strategy Cloud AWS 235

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

Open Source 270

Open Source Hardware DevOps Infrastructure 270

The Netflix TechBlog

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A Last year we wrote a blog post about how Data Mesh helped our Studio team enable data movement use cases.

Processing 272

Processing Transportation Entertainment Tuning 272

SQL Shack

MAY 3, 2019

This article describes the data synchronization process on SQL Server Always On Availability Groups in both Synchronous, and Asynchronous data commit mode. High data availability is an important aspect of every DBA’s life. We need to minimize and mitigate the issues related to database unavailability.

Availability 45

Availability Servers Database Processing 45

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182