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

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

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

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

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

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

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. Application performance.

Energy 130

Energy Latency Performance Network 130

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. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

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. An unoptimized indexing strategy can impede data insertion and retrieval operations.

Tuning 52

Tuning Database Performance Hardware 52

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.

Cache 130

Cache Storage Scalability Architecture 130

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

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

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. The US Federal Cloud Computing Strategy lays out a â??Cloud Cloud First. Cloud Firstâ?? With AWSâ??s Cloud Readyâ??; Government and Big Data.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

JULY 11, 2011

Spot Instances are ideal for use cases like web and data crawling, financial analysis, grid computing, media transcoding, scientific research, and batch processing. By shifting the unit of capacity we are pricing against, customers bidding strategy will directly determine whether or not they are fulfilled. At werner.ly Syndication.

AWS 85

AWS Storage Cloud Big Data 85

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Storage is a critical aspect to consider when working with cloud workloads. There are numerous choices available for deploying these workloads on various cloud provider platforms that offer unique capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. Now, let’s take a look at the throughput and latency performance of our comparison. ScaleGrid PostgreSQL provides on average 42.3%

Database 230

Database Latency Benchmarking Performance 230

Percona

AUGUST 10, 2018

Autovacuum is one of the background utility processes that starts automatically when you start PostgreSQL. As you see in the following log, the postmaster (parent PostgreSQL process) with pid 2862 has started the autovacuum launcher process with pid 2868. How many autovacuum processes can run at a time ? .

Tuning 45

Tuning Cache Database Storage 45

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 194

DevOps Analytics Airlines Metrics 194

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

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

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

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 Netflix TechBlog

APRIL 26, 2022

The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact. Since we were optimizing at the logging level for storage and performance, we had less data and metadata to play with to optimize the query performance.

Storage 187

Storage Design Scalability Latency 187

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

The Netflix TechBlog

NOVEMBER 2, 2021

This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. This enables us to use our scale to increase throughput and reduce latencies. Here is a step-by-step description of the processes involved: 1. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. In the absence of a proper backup strategy, the data can be lost forever, leading to significant financial and reputational damage. Why are MongoDB database backups important?

Best Practices 52

Best Practices Database Storage Servers 52

The Agile Manager

JULY 9, 2010

They trade their client's capital as well as their own using complex strategies specifically to generate high yield. This includes things like data storage, servers, e-mail, office productivity applications, virus protection, security and so forth. We should separate them into independently operating business units.

Retail 45

Retail Technology Technology Small Business 45

Percona

JULY 1, 2023

Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy. Download Now What is Amazon Aurora?

AWS 52

AWS Database Serverless Storage 52

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

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

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

All Things Distributed

OCTOBER 2, 2017

Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases. DynamoDB automatically re-distributes your data to healthy servers to ensure there are always multiple replicas of your data without you needing to intervene.

Internet 128

Internet Internet AWS Performance 128

Abhishek Tiwari

NOVEMBER 3, 2018

Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery.

Systems 63

Systems Cache Website Network 63

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. Encoding is not a one-time process?—?large We have one file?—?the

Media 214

Media Storage Processing Cache 214

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Figure out how much delay is built into your observability system, it may be taking samples once a minute, processing them for a minute or two, then watching for several bad samples in a row before it triggers an alert.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Figure out how much delay is built into your observability system, it may be taking samples once a minute, processing them for a minute or two, then watching for several bad samples in a row before it triggers an alert.

Latency 53

Latency Engineering Systems Hardware 53