Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example
DZone
FEBRUARY 27, 2024
Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.
This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.
DZone
FEBRUARY 27, 2024
Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.
DZone
JUNE 22, 2023
The goal is to help developers, technical managers, and business owners understand the importance of API performance optimization and how they can improve the speed, scalability, and reliability of their APIs. What Is API Performance Optimization?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The Netflix TechBlog
SEPTEMBER 29, 2022
Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5
Scalegrid
MARCH 28, 2024
Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Despite its advantages, Redis’s versatility can introduce complexities, potentially challenging developers familiar with simpler solutions such as Memcached.
Dynatrace
JANUARY 31, 2024
Development and demand for AI tools come with a growing concern about their environmental cost. Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources.
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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
The Netflix TechBlog
MARCH 7, 2024
Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. Rapid development is enabled via Metaflow namespaces , so individual developers can develop without interfering with production deployments.
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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.
The Netflix TechBlog
MARCH 4, 2024
We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.
Scalegrid
FEBRUARY 8, 2024
Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Variations within these storage systems are called distributed file systems.
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.
Scalegrid
MARCH 22, 2024
Deploying a multi-cloud environment involves a concerted effort in planning, negotiation with vendors, skill development, and understanding the advanced use cases of a multi-cloud approach for tailored industry solutions and compliance. They can also bolster uptime and limit latency issues or potential downtimes.
Scalegrid
MARCH 14, 2024
In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.
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.
IO River
NOVEMBER 2, 2023
A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. The Four Pillars of CDN DesignCDN architecture can be broken down into several building blocks, known as the Four Pillars of CDN Design.
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. As The New Stack reports, developers spend only 32% of their time at work actually coding.
Dynatrace
DECEMBER 15, 2022
We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. What is ITOps?
Dynatrace
FEBRUARY 24, 2021
Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. Organizations often need to do some team building to synthesize the objectives of developers and operations.
Percona
MARCH 29, 2023
As the amount of data grows, the need for efficient data compression becomes increasingly important to save storage space, reduce I/O overhead, and improve query performance. Snappy compression is designed to be fast and efficient regarding memory usage, making it a good fit for MongoDB workloads.
The Netflix TechBlog
SEPTEMBER 8, 2020
How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. It was a Node.js Java…Script?
The Netflix TechBlog
OCTOBER 26, 2021
False negatives are closely related to the statistical concept of power , which gives the probability of a true positive given the experimental design and a true effect of a specific size. In the product development context, we can increase the expected magnitude of metric movements by being bold vs incremental with the hypotheses we test.
IO River
NOVEMBER 2, 2023
â€A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. When an edge server goes down, end users in the affected region may experience an increase in latency for that specific location.
ACM Sigarch
MAY 31, 2023
Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers. The recently announced CXL3.0
Dynatrace
JANUARY 18, 2023
DevOps and SRE: Methodologies that are transforming software development with the help of DevOps observability. DevOps is a software delivery methodology that comprises flexible practices and processes to create and deliver applications and services, ultimately closing the gap between software development and IT operations.
Dynatrace
JANUARY 13, 2022
Synthetic monitoring is also useful for developing baselines of performance. Analyzing a clinician’s clickstream when using an electronic medical record system to better improve the efficiency of data entry. Providing insight into the service latency to help developers identify poorly performing code.
The Morning Paper
NOVEMBER 10, 2019
It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand.
Brendan Gregg
FEBRUARY 28, 2023
At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Ford, et al., “TCP
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.
Dynatrace
FEBRUARY 2, 2022
service availability with <50ms latency for an application with no revenue impact. SLOs created by upper management without buy-in from relevant development, operations, and SRE stakeholders can lead to finger-pointing, blaming, and chaotic war rooms when violations occur. Pitfall 2: SLOs with no ownership or accountability.
Dynatrace
OCTOBER 1, 2021
The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. The architects and developers who create the software must design it to be observed.
Smashing Magazine
NOVEMBER 8, 2021
As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. Surveying the existing landscape of available developer tools and runtimes, we felt that there is a gap. Ilya Grigorik.
The Netflix TechBlog
OCTOBER 19, 2020
Now let’s look at how we designed the tracing infrastructure that powers Edgar. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Storage: don’t break the bank!
The Morning Paper
FEBRUARY 6, 2020
’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access.
Dynatrace
APRIL 26, 2022
Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Real-user monitoring (RUM).
The Netflix TechBlog
NOVEMBER 22, 2019
This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. We explore all the systems necessary to make and stream content from Netflix.
The Netflix TechBlog
NOVEMBER 22, 2019
This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. We explore all the systems necessary to make and stream content from Netflix.
All Things Distributed
JUNE 21, 2018
The answer for me is simple: Developers want their applications to be well architected and scale effectively. The days of the one-size-fits-all monolithic database are behind us, and developers are now building highly distributed applications using a multitude of purpose-built databases.
Brendan Gregg
FEBRUARY 28, 2023
At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! Ford, et al., “TCP
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.
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.
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.
The Morning Paper
JUNE 13, 2019
Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50.
All Things Distributed
JANUARY 18, 2012
a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().
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.
Expert insights. Personalized for you.
We have resent the email to
Are you sure you want to cancel your subscriptions?
Let's personalize your content