The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. Although this indexing strategy worked smoothly for a while, interesting challenges started coming up and we started to notice performance issues over time. The first layer, Cassandra , is the source of truth for us.

Strategy 264

Strategy Cache Storage Analytics 264

Dynatrace

DECEMBER 12, 2024

Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. We have taken that opportunity and expanded Dynatrace to protect applications, remediate exposures, and investigate threats to enable an automated AISecOps approach to continuous compliance.

Analytics 289

Analytics Government Efficiency Innovation 289

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 212

Storage Latency Efficiency Data Engineering 212

Percona

DECEMBER 11, 2023

There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system.

Storage 122

Storage Strategy Cloud Azure 122

Dynatrace

DECEMBER 18, 2024

This pricing model is part of our plan to introduce new features that help customers align the right pricing strategies to their use cases. Innovations on the horizon* Were very excited about our new Retain with Included Queries pricing, but we expect to deliver more updates.

Analytics 246

Analytics Best Practices Efficiency Storage 246

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Log ingestion strategy no. Log ingestion strategy No. Log ingestion strategy No.

Strategy 245

Strategy AWS Open Source Transportation 245

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 218

Media Storage Processing Cache 218

Dynatrace

JANUARY 11, 2023

High storage costs. To analyze long-term trends using traditional methods, teams must rehydrate data that resides in “cold data storage” (older data that is no longer accessible for daily operations). This combination offers rich data management and analytics on top of low-cost cloud storage. Search constraints.

Analytics 246

Analytics Strategy Storage Technology 246

The Netflix TechBlog

MARCH 4, 2025

Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix.

Traffic 180

Traffic Strategy Entertainment Innovation 180

The Netflix TechBlog

FEBRUARY 14, 2025

We can experiment with different content placements or promotional strategies to boost visibility and engagement. Analyzing impression history, for example, might help determine how well a specific row on the home page is functioning or assess the effectiveness of a merchandising strategy.

Tuning 166

Tuning Latency Efficiency Storage 166

The Netflix TechBlog

DECEMBER 17, 2024

Additionally, the time-sensitive nature of these investigations precludes the use of cold storage, which cannot meet the stringent SLAs required. While reengineering these systems to accommodate this additional axis is possible, it would entail increased costs.

Traffic 172

Traffic Scalability Strategy Monitoring 172

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

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 264

Infrastructure Storage Virtualization Network 264

Scalegrid

JANUARY 8, 2024

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? 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.

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

FEBRUARY 6, 2025

Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Distributed Event Streaming Platform RabbitMQ functions as a message broker, managing message confirmation, routing, storage, and delivery within a queue. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

JANUARY 11, 2023

Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. An effective IT infrastructure monitoring strategy includes the following best practices: Determine the best cloud tooling and services for your specific cloud environment.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

Scalegrid

JANUARY 21, 2025

Such as: RedisInsight Offers an easy way for users to oversee their Redis information with visual cues; Prometheus Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance. </p>

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JANUARY 9, 2024

Key Takeaways Enterprise cloud security is vital due to increased cloud adoption and the significant financial and reputational risks associated with security breaches; a multilayered security strategy that includes encryption, access management, and compliance is essential.

Strategy 130

Strategy Cloud Best Practices Government 130

Scalegrid

FEBRUARY 24, 2025

Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task. They can be mirrored and configured for either availability or consistency, providing different strategies for managing network partitions.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

DZone

SEPTEMBER 14, 2023

In this article, we will delve into strategies to ensure that your data pipeline is resource-efficient, cost-effective, and time-efficient. Spark takes full advantage of this storage property by exclusively reading the columns that are involved in subsequent computations.

Big Data 279

Big Data Processing Open Source Games 279

Scalegrid

FEBRUARY 27, 2025

Unlike full backups that duplicate everything, incremental backups store only changes since the last save, reducing storage needs and speeding up recovery. Key Benefits: Smaller Storage Footprint: Saves only modified data, cutting down backup size. How do incremental backups work in PostgreSQL 17?

Speed 130

Speed Database Storage Efficiency 130

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 260

Latency Storage Cache Servers 260

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance. </p>

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MARCH 6, 2024

The latest Dynatrace report, “ The state of observability 2024: Overcoming complexity through AI-driven analytics and automation ,” explores these challenges and highlights how IT, business, and security teams can overcome them with a mature AI, analytics, and automation strategy.

Analytics 246

Analytics Innovation Strategy Storage 246

DZone

JUNE 4, 2019

NVMe Storage Use Cases. NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. There are several AI/ML focused use cases to highlight.

Storage 100

Storage FinTech Artificial Intelligence Performance 100

DZone

JUNE 15, 2023

Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets. However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states.

Latency 253

Latency Storage Strategy Metrics 253

The Netflix TechBlog

OCTOBER 8, 2024

TimeSeries Abstraction The TimeSeries Abstraction was developed to meet these requirements, built around the following core design principles: Partitioned Data : Data is partitioned using a unique temporal partitioning strategy combined with an event bucketing approach to efficiently manage bursty workloads and streamline queries.

Latency 239

Latency Storage Traffic Tuning 239

Scalegrid

JULY 17, 2020

JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. JSONB storage does not deduplicate the key names in the JSON. If that doesn’t work, the data is moved to out-of-line storage.

Storage 321

Storage Database Efficiency Processing 321

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

Dynatrace

JULY 11, 2024

Strategically handle end-to-end data deletion Two key elements form the backbone of an effective deletion strategy in Dynatrace SaaS data management: retention-based and on-demand deletion. You can use the Grail Storage Record Deletion API to trigger a deletion request. To delete the records, use the Storage Record Deletion API.

Storage 264

Storage Government Best Practices Media 264

Dynatrace

MAY 26, 2021

Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. A key takeaway from this talk is how important it is to be aware of the different sampling strategies and know which one makes sense for your application in a particular overload situation.

AWS 246

AWS Strategy Storage Metrics 246

Dynatrace

SEPTEMBER 5, 2024

Let’s delve deeper into how these capabilities can transform your observability strategy, starting with our new syslog support. The dashboard tracks a histogram chart of total storage utilized with logs daily. You can see in a table retention periods by the number of logs and storage they consumed.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

AUGUST 26, 2020

Optimal metric storage management strategy. Dynatrace Managed metric storage management is reliable and delivers high performance. Our new solution for managing metric storage doesn’t reclaim disk space by data compaction. Impact on disk space.

Performance 191

Performance Hardware Java Storage 191

Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. Replication Strategy. DigitalOcean using the below instance types: AWS. EC2 instances. VM instances.

Azure 344

Azure AWS Database Latency 344

Dynatrace

NOVEMBER 28, 2023

These strategies can play a vital role in the early detection of issues, helping you identify potential performance bottlenecks and application issues during deployment for staging. Other proven strategies We recommend following best practices to achieve the most effective observability outcomes.

Traffic 279

Traffic Best Practices Strategy Engineering 279