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.
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DZone
FEBRUARY 27, 2024
Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.
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.
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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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.
Dynatrace
JANUARY 26, 2021
Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. What is serverless computing?
Scalegrid
MARCH 28, 2024
Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.
Dynatrace
APRIL 8, 2024
This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. If system failures occur, teams must resolve them quickly and resolutely. Risk in banking is broad and interconnected. Automated issue resolution.
Dynatrace
JANUARY 31, 2024
GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.
Dynatrace
MARCH 29, 2024
As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. You can ask for the best configuration to reduce latency or improve the user experience.” It’s not just a cost-reduction tool.
Scalegrid
MARCH 14, 2024
Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. The architecture usually integrates several private, public, and on-premises infrastructures. We will examine each of these elements in more detail.
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.
Dynatrace
JANUARY 14, 2022
The following figure shows the high-level architecture where any load testing solution (e.g. The optimization goal was to improve the application efficiency, that is to improve the ratio between service throughput and cloud costs while not increasing the application latency (e.g. below 500ms) and error rates (e.g. Conclusions.
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.
Adrian Cockcroft
JANUARY 20, 2023
on Myths and Legends of High Performance Computing — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Next generation architectures will use CXL3.0 Jack Dongarra talked about the scores, and pointed out the low efficiency on some important workloads.
Dotcom-Montior
NOVEMBER 24, 2021
Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?
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 Morning Paper
OCTOBER 11, 2020
Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. Nanosatellite systems have a GSD of around 3.0m/px. Satellites are changing! Physical constraints.
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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.
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.
Adrian Cockcroft
MAY 6, 2023
I don’t advocate “Serverless Only”, and I recommended that if you need sustained high traffic, low latency and higher efficiency, then you should re-implement your rapid prototype as a continuously running autoscaled container, as part of a larger serverless event driven architecture, which is what they did.
Scalegrid
MARCH 22, 2024
They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems.
Scalegrid
OCTOBER 17, 2019
On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be. Moving to a multithreaded architecture will require extensive rewrites. The PostgreSQL Architecture | Source. The Connection Pool Architecture.
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.
ACM Sigarch
MAY 31, 2023
Introduction Memory systems are evolving into heterogeneous and composable architectures. 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. The recently announced CXL3.0
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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.
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. But what is observability? Why is it important, and what can it actually help organizations achieve? What is observability?
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. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.
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. Dynatrace news. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?
cdemi
FEBRUARY 20, 2017
Serverless is currently a hot topic in many modern architectural patterns. Serverless systems are still in their infancy. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. Advantages and Disadvantages of Serverless. Advantages.
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. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.
The Morning Paper
OCTOBER 26, 2020
On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that.
Sutter's Mill
FEBRUARY 13, 2017
Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” If you’re interested in attending, please check out the links, and I look forward to meeting and re-meeting many of you there.
The Netflix TechBlog
SEPTEMBER 8, 2020
We tried a few iterations of what this new service should look like, and eventually settled on a modern architecture that aimed to give more control of the API experience to the client teams. For us, it means that we now need to have ~15 MDN tabs open when writing routes :) Let’s briefly discuss the architecture of this microservice.
Brendan Gregg
FEBRUARY 28, 2023
This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP
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.
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. High level architecture. Updates should be allowed at any function invocation site.
The Morning Paper
MAY 19, 2019
Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.
All Things Distributed
NOVEMBER 8, 2012
Werner Vogels weblog on building scalable and robust distributed systems. Improving the Cloud - More Efficient Queuing with SQS. For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths.
Particular Software
SEPTEMBER 20, 2021
Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. There are more steps, so the increased latency is easily explained. Stop the world This is where the throughput of an RPC system starts to go off the rails.
IO River
NOVEMBER 2, 2023
They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. This lower server load allows servers to handle more concurrent connections and efficiently serve more users simultaneously.
ScaleOut Software
JULY 19, 2021
How are we managing the torrent of telemetry that flows into analytics systems from these devices? Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. The list goes on. The Limitations of Today’s Streaming Analytics.
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.
ACM Sigarch
DECEMBER 6, 2018
Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research.
The Morning Paper
SEPTEMBER 10, 2019
Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Because they had too many data processing systems! ;). When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc.
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