The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., 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! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

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. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 236

AWS Efficiency Azure Cloud 236

Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. It is designed to cache plain text values, offering fast read and write access to frequently accessed data. Memcached’s primary strength lies in its simplicity. High data availability is achieved.

Cache 130

Cache Storage Scalability Architecture 130

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.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Integrating Existing Systems When selecting a tool for integrating a hybrid cloud, evaluating several key aspects is important. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 24, 2023

Answer-driven DevOps automation goes beyond creating tickets and extends to executing workflows designed to extract ownership information and then route the ticket to the responsible teams. Consider an event-driven automation system designed for incident management. But it doesn’t stop there.

DevOps 209

DevOps Traffic Efficiency Servers 209

Scalegrid

JANUARY 12, 2024

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. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. The architects and developers who create the software must design it to be observed. Dynatrace news. But what is observability? What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ACM Sigarch

MARCH 25, 2019

Previously, Part 1 of these two blog posts provided our thesis that analytic models can complement measurement and simulations to give quick insight, show what is not possible, provide a double-check, and suggest future directions. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency?

Systems 53

Systems Latency Performance C++ 53

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 192

Monitoring Social Media IoT Metrics 192

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Now let’s look at how we designed the tracing infrastructure that powers Edgar. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

DECEMBER 22, 2019

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. Amazon Elastic File System (EFS). Amazon Kinesis Data Analytics. Amazon Cognito. Amazon EC2 Spot Fleet. Amazon EMR.

AWS 134

AWS Metrics IoT Storage 134

Dynatrace

DECEMBER 22, 2019

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. Amazon Elastic File System (EFS). Amazon Kinesis Data Analytics. Amazon Cognito. Amazon EC2 Spot Fleet. Amazon EMR.

AWS 132

AWS Metrics IoT Storage 132

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

DECEMBER 2, 2021

By shifting production-level SLOs left into development , you can design apps to meet production SLOs to increase resilience and reliability far before there is actual downtime. For example, an objective for system availability can be: 90% – one 9. How SLOs work. 99% – two 9s. 99.9% – three 9s. 99.99% – four 9s.

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

Percona

JULY 17, 2023

5 among all database management systems and No. 1 among non-relational/document-based systems ( DB-Engines, July 2023 ). Instead of the table-based structure of relational databases, MongoDB stores data in documents and collections, a design for handling large amounts of unstructured data and for real-time web applications.

Open Source 75

Open Source Database Scalability Software 75

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Only teams that master their systems can make intentional trade-offs.

Performance 86

Performance Latency Metrics Engineering 86

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. We can then forward this data to a custom analytics service. SEO is key to our success. One of the key Next.js

Performance 75

Performance Cache Traffic Metrics 75

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. interactive AR/VR, gaming and critical decision making).

Wireless 54

Wireless IoT Analytics Architecture 54

John McCalpin

APRIL 2, 2020

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Raw content data along with templates are version controlled using Git or similar versioning systems. can generate an HTML-only website without involving a CMS.

Systems 63

Systems Cache Website Network 63

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

IO River

NOVEMBER 15, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security You'll have logs and analytics scattered across different CDNs. WAFs can rate-limit incoming requests, creating a sort of queue system.

Traffic 52

Traffic Network Logistics Architecture 52

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. In a nutshell, a data pipeline is a distributed system. In few use cases, data pipeline latency or processing backlog combined with orderliness creates data freshness problems.

Latency 63

Latency Analytics Scalability Engineering 63

IO River

NOVEMBER 2, 2023

However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five minutes of downtime per year, which means the system is almost always operational.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five minutes of downtime per year, which means the system is almost always operational.

Availability 52

Availability Social Media Traffic Games 52

Smashing Magazine

AUGUST 3, 2021

This premise, known as graceful degradation allows a system to continue working when parts of it are dysfunctional — much like an electric bike becomes a regular bike when its battery dies. Often system failures are chalked up as “corner cases” — things that rarely happen, however, the web has many corners.

Network 145

Network Engineering Availability Monitoring 145

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. Many changes are rendered through automated testing. from $12.6

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Alex Russell

MARCH 6, 2021

Chip design choices and silicon economics are the defining feature of the still-growing Performance Inequality Gap. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. Don't pay a lot for an Android-shaped muffler.

Performance 124

Performance Network Cache Metrics 124

IO River

NOVEMBER 2, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Flywheel‍‍When it comes to fortifying web applications, think of security as a flywheel—an ever-revolving cycle that gains momentum with each turn.

Traffic 40

Traffic Network Logistics Architecture 40

All Things Distributed

MARCH 2, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Comments ().

AWS 112

AWS Cloud Games Latency 112

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 114

AWS Latency Storage Big Data 114

Alex Russell

JANUARY 30, 2024

Engineering is the discipline of designing solutions under specific constraints. Predictably, they are over-represented in analytics and logs owing to wealth-related factors including superior network access and performance hysteresis." iPhones account for less than half of sales. target="_new"> the U.K.

Performance 90

Performance Network Mobile Speed 90

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Not just for HPC but for mission critical enterprise systems such as OLTP. All Things Distributed. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality.

Big Data 154

Big Data Processing Lambda Database 154