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

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 public cloud’s ability to scale efficiently enables ‘cloudbursting’ when demand spikes without requiring businesses to overprovision their own infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

High Scalability

FEBRUARY 19, 2021

This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. reliability situations, where continuity of service is essential, with redundant elements continuously in-service, such as with airplane engines. This ensures reliability.

Engineering 215

Engineering Systems Scalability Availability 215

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. At that time, the team was made up of software engineers.

Engineering 67

Engineering DevOps Monitoring Google 67

Dynatrace

JULY 18, 2023

However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 179

Best Practices Code Infrastructure Latency 179

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which We needed to increase engineering productivity via distributed request tracing. That is the first question our engineering teams asked us when integrating the tracer library.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 209

DevOps Traffic Efficiency Servers 209

Dynatrace

JANUARY 18, 2023

From site reliability engineering to service-level objectives and DevSecOps, these resources focus on how organizations are using these best practices to innovate at speed without sacrificing quality, reliability, or security. SRE applies software engineering principles to operations and infrastructure processes. What is DevOps?

DevOps 187

DevOps Best Practices Innovation Strategy 187

Dynatrace

FEBRUARY 24, 2021

SRE is the transformation of traditional operations practices by using software engineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Reduced latency. Efficiency. Investing in automation and tooling to avoid toil.

DevOps 183

DevOps Software Engineering Speed Google 183

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. Ready to supercharge your MongoDB experience? x: Live resharding of databases for uninterrupted sharded key changes.

Best Practices 85

Best Practices Hardware Tuning Scalability 85

Simform

JULY 13, 2022

AWS Lambda provides various benefits such as scalability, cost-efficiency, high availability, and more. But it also introduces cold starts and latency, decelerating your applications’ performance.

Lambda 52

Lambda Serverless AWS Performance 52

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. AWS continues to improve how it handles latency issues. Dynatrace news.

Lambda 173

Lambda AWS Serverless Hardware 173

High Scalability

SEPTEMBER 8, 2018

Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. The issue is that Anna is now orders of magnitude more efficient than competing systems, in addition to being orders of magnitude faster. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 158

Cloud Traffic Best Practices Strategy 158

The Netflix TechBlog

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers. We’ve compiled our speaking events below so you know what we’ve been working on. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers. We’ve compiled our speaking events below so you know what we’ve been working on. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

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. Jack Dongarra talked about the scores, and pointed out the low efficiency on some important workloads.

Architecture 52

Architecture Latency Benchmarking AWS 52

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. Procella system overview.

Analytics 75

Analytics Latency Cache Google 75

The Morning Paper

FEBRUARY 6, 2020

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. Oh, and there’s a scheduler too of course to keep all the plates spinning.

Lambda 98

Lambda Serverless Cache Latency 98

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

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

Dotcom-Montior

DECEMBER 8, 2021

In the world of a site reliability engineer (SRE) , failure is not only an option, but also expected. In a different article, we talked about chaos engineering and how SRE teams proactively seek out and test for failures to prevent the worst from happening. Systems, web applications, servers, devices, etc., It is an unavoidable fact.

Social Media 90

Social Media Monitoring Latency DevOps 90

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. Considering a Fully Managed DBaaS Offering For Your Business?

AWS 52

AWS Database Serverless Storage 52

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. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings. SEO is key to our success.

Performance 75

Performance Cache Traffic Metrics 75

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. Not everyone is operating at Netflix or Spotify scale data engineering function.

Latency 63

Latency Analytics Scalability Engineering 63

Dotcom-Montior

NOVEMBER 24, 2021

Within an organization, the responsibility of monitoring these large distributed systems typically falls on site reliability engineering (SRE) teams. Scalability. The interconnections between nodes and the rest of the system makes it possible to communicate and share data efficiently. Types of Distributed Systems. Reliability.

Systems 74

Systems Monitoring Hardware Network 74

O'Reilly Software

DECEMBER 11, 2017

While the addition of a user-interaction service increases the complexity of the user’s interaction with Team Service, it results in a more scalable and efficient architecture overall. This simple service design minimizes latency in the write path for incoming request messages. Solution approach. Solution design.

Architecture 68

Architecture Government Latency Efficiency 68

Smashing Magazine

SEPTEMBER 28, 2022

An SSR application will generally have templating engines that inject the variables into an HTML when given to the client. Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time.

Performance 127

Performance Cache Servers Social Media 127

ScaleOut Software

JULY 19, 2021

Since big data analyses can take minutes or hours to run, they are typically used to look for big trends, like the fuel efficiency and on-time delivery rate of a trucking fleet, instead of emerging issues that need immediate attention. These limitations create an opportunity for real-time device tracking to fill the gap.

IoT 78

IoT Analytics Big Data Architecture 78

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. The output expectations will assist in the choice of processing engine while the process tolerance will add restrictions in terms of processing semantics and error handling. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

The Netflix TechBlog

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Over the years, this platform took on support for both elastic online services and fully featured batch workloads supporting use cases across Netflix engineering.

AWS 37

AWS Entertainment Open Source Benchmarking 37

The Morning Paper

OCTOBER 10, 2019

This created a number of engineering challenges though: For our visual search products alone, we developed three specialized embeddings. As image recognition architectures are evolving quickly, we want to iterate our three specialized embeddings with modern architectures to improve our three visual search products. Model architecture.

Latency 58

Latency Storage Architecture Traffic 58

Testsigma

JANUARY 30, 2021

Test how user-friendly an application is: Google search engine gives high priority to websites in comparison to desktop apps. Testing helps in finding latency time of an application: Users prefer to use mobile phones over desktop when they are looking for any query, booking flight/movie ticket.

Mobile 52

Mobile Testing Website Internet 52

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210