The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Below is an example Dynatrace problem card, which shows how a spike in Cassandra write latency impacts your application.

Azure 236

Azure Latency Metrics Infrastructure 236

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

APRIL 27, 2023

While we were able to put out the immediate fire by disabling the newly created alerts, this incident raised some critical concerns around the scalability of our alerting system. It became clear to us that we needed to solve the scalability problem with a fundamentally different approach. OK, Results?

Storage 288

Storage Cache Metrics Database 288

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Solving for SR.

Engineering 254

Engineering DevOps Government Latency 254

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. Dedicated configuration files are used to create teams and maintain relevant information, such as responsibilities and contact details, in a scalable and automated way.

Best Practices 189

Best Practices Code Infrastructure Latency 189

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. DevOps practitioners struggle to maintain highly available and scalable applications.

Monitoring 220

Monitoring Metrics DevOps Scalability 220

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Solving for SR.

Engineering 176

Engineering DevOps Government Latency 176

Percona

MARCH 20, 2023

When designing an architecture, many components need to be considered before deciding on the best solution. In short, each cluster is, in reality, a single database with high availability and other functionalities built in. Let us take a look also the latency: Here the situation starts to be a little bit more complicated.

Games 124

Games Latency Traffic Cache 124

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Maintaining high availability Kubernetes also makes it easier for applications to scale in response to changing workloads to maintain high availability.

Efficiency 108

Efficiency Cloud Healthcare Open Source 108

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Scalability. VLDB’19. Query restrictions. Neither Spectrum nor Athena could run the full TPC-H query suite.

Architecture 76

Architecture Cloud Storage Serverless 76

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Hardware 213

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. Increased scalability. Improved performance and availability. The third big advantage of cloud migration is performance and availability.

Cloud 165

Cloud Traffic Best Practices Strategy 165

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. A combination of these mechanisms may be necessary to tackle challenges arising from heterogeneous memory systems and NUMA architectures. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

APRIL 5, 2021

Lambda’s highly efficient, on-demand computing environment aligns with today’s microservices-centric architectures, and readily integrates with other popular AWS offerings that an organization may already be using. AWS continues to improve how it handles latency issues. How do AWS Lambda functions impact monitoring?

Lambda 180

Lambda AWS Serverless Hardware 180

Percona

JULY 17, 2023

DBAs and developers appreciate its combination of flexibility, scalability, and performance. MongoDB replica sets enable data redundancy and automatic failover, setting the stage (there’s that term again) for high availability. For starters, MongoDB Community lacks the advanced security features available in MongoDB Enterprise.

Open Source 78

Open Source Database Scalability Software 78

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best.

AWS 52

AWS Database Serverless Storage 52

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). First, we looked at the overall architecture of the replica design.

Availability 40

Availability Servers Hardware Benchmarking 40

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). This makes the whole system latency sensitive. FPGAs are chosen because they are both energy efficient and available on SmartNICs). Increasing the amount of work we can do on a single unit.

Servers 128

Servers Hardware Latency Design 128

All Things Distributed

NOVEMBER 26, 2013

As I discussed in my re:Invent keynote earlier this month, I am now happy to announce the immediate availability of Amazon RDS Cross Region Read Replicas , which is another important enhancement for our customers using or planning to use multiple AWS Regions to deploy their applications. Cross Region Read Replicas are available for MySQL 5.6

Cloud 145

Cloud AWS Traffic Latency 145

ScaleOut Software

JULY 14, 2021

It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services. What’s different is the streaming service’s focus on real-time analytics and its use of an in-memory computing platform integrated with Azure IoT Hub to ensure the lowest possible latency and high scalability.

IoT 52

IoT Azure Analytics Serverless 52

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. When we think of a system’s architecture, the first thing that may pop into your mind is the traditional client-server system, where a server was the shared resource among many different devices and machines, like printers, computes, clients, etc. Scalability. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

HammerDB

OCTOBER 12, 2018

On the other hand if testing MySQL or MariaDB for the ability to handle a more complex workload such as the use of stored procedures and in particular if looking to compare scalability with a traditional database then HammerDB is focused more towards testing those enterprise features. GHz available cpufreq governors: performance powersave .

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

MAY 15, 2023

Normally this solution requires a full code redesign and could be quite difficult to achieve when it is injected after the initial code architecture definition. As said, the last one is probably the most powerful, scalable, and difficult to design, and unfortunately, it represents probably less than 5% of the solution currently deployed.

Traffic 126

Traffic Scalability Database Servers 126

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Instead of querying objects from the IMDG and analyzing them in the client, applications can now simply run this analysis within the IMDG itself using APIs available in ScaleOut StateServer Pro.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Instead of querying objects from the IMDG and analyzing them in the client, applications can now simply run this analysis within the IMDG itself using APIs available in ScaleOut StateServer Pro.

Analytics 52

Analytics Airlines Cache Scalability 52

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. Pipeline is infinitely scalable Given the elasticity offered by public clouds, one would think that data pipelines are infinitely scalable which is entirely misleading.

Latency 63

Latency Analytics Scalability Engineering 63