The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

FEBRUARY 8, 2024

Data replication strategies like full, incremental, and log-based replication are crucial for improving data availability and fault tolerance in distributed systems, while synchronous and asynchronous methods impact data consistency and system costs. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Finding a balance between complexity and impact must be a priority for organizations that adopt AI strategies.

Cache 201

Cache Azure Infrastructure Monitoring 201

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 192

DevOps Analytics Airlines Metrics 192

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. This is the number of failures that affect users’ ability to use an application by the total time in service.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 243

AWS Efficiency Azure Cloud 243

Scalegrid

MARCH 28, 2024

Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications. On the other hand, Memcached is ideal for simple caching scenarios where high throughput and low latency are key and where the stored data consists mainly of strings.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JANUARY 12, 2024

The fundamental principles at play include evenly distributing the workload among servers for better application performance and redirecting client requests to nearby servers to reduce latency. This makes it ideal not only for regular scalability but also for advanced analytics with intricate workload management capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

NOVEMBER 2, 2023

Introduction of clustered collections for optimized analytical queries. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. x: Live resharding of databases for uninterrupted sharded key changes. In MongoDB 6.x:

Best Practices 89

Best Practices Hardware Tuning Scalability 89

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Some of the common supported data reprocessing use cases are listed below. But to build the data facts, we need the complete data set in the iceberg and not just the new.

Media 237

Media Traffic Processing Design 237

The Netflix TechBlog

OCTOBER 19, 2020

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. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. How: RUM tooling, analytics, monitoring. Who: Engineers, Product Owners, Marketing.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

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. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 74

Performance Cache Traffic Metrics 74

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Smashing Magazine

MARCH 25, 2021

Also, if you are not using a content delivery network (CDN) or multiple CDNs to map users to the closest edge regions for reduced latencies — a practice called suboptimal routing — you might slow down the start of the video. Similarly, unoptimized images were the leading cause of page bloat. Deliver through multiple CDNs.

Media 117

Media Performance Mobile Latency 117

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Get a comprehensive view of your batch jobs.

Azure 146

Azure Cloud Big Data Virtualization 146

Dynatrace

NOVEMBER 3, 2021

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. Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. appeared first on Dynatrace blog.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues.

Engineering 67

Engineering DevOps Monitoring Google 67

IO River

NOVEMBER 2, 2023

By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions. The key benefit of employing a Multi-CDN strategy is its increased reliability and redundancy.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions. The key benefit of employing a Multi-CDN strategy is its increased reliability and redundancy.

Availability 52

Availability Social Media Traffic Games 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. Processing latency is minimum If only you can infinitely scale your data pipeline, processing latency can be guaranteed to be minimum, but we know for sure that is not true.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

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+). Consistent performance matters just as much as low average latency. Photo by von Vix.

Performance 86

Performance Latency Metrics Engineering 86

Dotcom-Montior

DECEMBER 8, 2021

An organization’s response to an incident, whether we are talking about downtime, security breaches or cyber-attacks, or even prolonged latency and repeated errors, is critical to the continued success of the business and trust from the customer or end user. These tools should be utilized along with your monitoring strategy.

Social Media 90

Social Media Monitoring Latency DevOps 90

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. The US Federal Cloud Computing Strategy lays out a â??Cloud Cloud First. Cloud Firstâ?? With AWSâ??s Cloud Readyâ??; Government and Big Data.

AWS 111

AWS Government Big Data Cloud 111

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. By shifting the unit of capacity we are pricing against, customers bidding strategy will directly determine whether or not they are fulfilled.

AWS 85

AWS Storage Cloud Big Data 85

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Operational Reporting Pipeline Example Iceberg Sink Apache Iceberg is an open source table format for huge analytics datasets. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. This strategy is applicable for joining of a large relation with a small relation or two small relations.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. You can then mimic the 90th percentile’s experience for testing. when web fonts aren’t loaded yet). Planning, planning, planning.

Performance 103

Performance Cache Metrics Network 103

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. Apache Iceberg Iceberg is a high-performance format for huge analytic tables. Acknowledgements Thanks to our Product Manager Ashim Pokharel for driving the strategy and requirements.

Processing 210

Processing Big Data Efficiency Engineering 210

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems 63

Systems Cache Website Network 63