Scalegrid

FEBRUARY 8, 2024

Data replication strategies like full, incremental, and log-based replication are crucial for improving data availability and fault tolerance in distributed systems, while synchronous and asynchronous methods impact data consistency and system costs. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

MARCH 10, 2023

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. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns). N, first N rows are fetched from the table.

Media 237

Media Traffic Processing Design 237

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., Strict serializability reduces application code complexity and bugs, since it behaves like a system that is running on a single machine processing transactions sequentially. That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in.

Latency 70

Latency Processing Benchmarking Systems 70

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 243

AWS Efficiency Azure Cloud 243

Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. Redis can be configured to optimally utilize both RDB and AOF persistence methods optimally, achieving a balance between speed and data safety while minimizing the impact on response times due to its child process handling for disk writes.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. So, what is ITOps? How does ITOps create business value?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

JANUARY 31, 2024

The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. Use of Dynatrace Notebook to track when a flight status table was last updated.

DevOps 191

DevOps Analytics Airlines Metrics 191

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. SRE applies software engineering principles to operations and infrastructure processes. Indeed, the pressure to digitally transform is increasing.

DevOps 194

DevOps Best Practices Innovation Strategy 194

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. 25.84 - Total 21.04 zone_reclaim_mode In some OS versions, the vm.zone_reclaim_mode is enabled. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

FEBRUARY 24, 2021

DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is not a specific process, but rather a general collection of flexible software creation and delivery practices that looks to close the gap between software development and IT operations. Reduced latency.

DevOps 186

DevOps Software Engineering Speed Google 186

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.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 177

Lambda AWS Serverless Hardware 177

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. What is cloud migration?

Cloud 162

Cloud Traffic Best Practices Strategy 162

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

SEPTEMBER 8, 2020

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. Being able to canary a new route let us verify latency and error rates were within acceptable limits. Background The Netflix Android app uses the falcor data model and query protocol.

Latency 233

Latency Cache Java Traffic 233

CSS Wizardry

MARCH 3, 2019

To this end, having a solid caching strategy can make all the difference for your visitors. ?? The amount of control we’re granted makes for very intricate and powerful caching strategies. If, however, there wasn’t a new file on the server, we’ll bring back a 304 header, no new file, but an entire roundtrip of latency.

Cache 264

Cache Latency Strategy Servers 264

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. However, achieving a good LCP score is often a multi-faceted process that involves optimizing several stages of loading and rendering.

Performance 74

Performance Cache Traffic Metrics 74

CSS Wizardry

AUGUST 13, 2019

Although this response has a 0B filesize, we will always take the latency hit on every single page view (and this response is basically 100% latency). com , which introduces yet more latency for the connection setup. not replacement —the current method would remain fully functional and valid) non-blocking loading strategy.

Latency 203

Latency Cache Strategy Media 203

The Morning Paper

NOVEMBER 15, 2020

With more nodes and more coordination comes more complexity, both in design and operation. So before matching, the IDS/IPS has to reconstruct a TCP bytestream in the face of packet fragmentation, loss, and out-of-order delivery – a process known as reassembly. This makes the whole system latency sensitive.

Servers 128

Servers Hardware Latency Design 128

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

The Morning Paper

SEPTEMBER 10, 2019

Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? are divided.

Analytics 75

Analytics Latency Cache Google 75

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

The Morning Paper

MARCH 3, 2020

It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. This work is latency critical, because volume IO is blocked until it is complete. NSDI’20.

Database 106

Database AWS Network Design 106

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. These issues often arise from suboptimal query design, missing or ineffective indexes, or dealing with large datasets.

Tuning 52

Tuning Database Performance Hardware 52

Testsigma

DECEMBER 18, 2019

As software testing plays a significant role in the delivery of the final product, it is necessary to consider that the testing process must involve accurate, exhaustive test cases and firm test strategy. Complete test coverage should include scenarios on latency, speed, security, and usability. Lack of Supervision.

Testing 73

Testing Open Source Strategy Processing 73

Dotcom-Montior

DECEMBER 8, 2021

Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation. ITSM defines how teams design, create, and deliver their services. ITSM is the policies, processes, and structure behind the lifecycle of IT services.

Social Media 90

Social Media Monitoring Latency DevOps 90

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.

Performance 86

Performance Latency Metrics Engineering 86

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Read/Write latency. Read/Write requests are processes with a minimal latency.

Database 213

Database Latency C++ Scalability 213

IO River

NOVEMBER 2, 2023

By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions. The key benefit of employing a Multi-CDN strategy is its increased reliability and redundancy.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions. The key benefit of employing a Multi-CDN strategy is its increased reliability and redundancy.

Availability 52

Availability Social Media Traffic Games 52

Smashing Magazine

MAY 16, 2022

Due to the design of web browser APIs, there are currently no mechanisms for querying requests and their relative responses after the fact. Within the HTML delivery process, there could also be additional data that we want to understand, such as what datacenters processed the request throughout the chain. No References Required.

Servers 93

Servers Monitoring Cache Network 93

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63