Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

APRIL 6, 2022

Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. Improve business decisions with precision analytics.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 168

Metrics Monitoring Database Network 168

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

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. 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).

Monitoring 200

Monitoring Social Media IoT Metrics 200

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 4, 2021

When choosing an API monitoring tool, keep in mind that not all have the same breadth of functionality or depth of analytic capabilities. Look for key features, including: Comprehensive analysis of all data, not just samples of monitoring data. Choosing an API monitoring tool. Support for both RUM and synthetic monitoring.

Monitoring 175

Monitoring Latency Metrics Availability 175

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 106

Performance Monitoring Traffic Database 106

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. What is Multi-CDN?A Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Smashing Magazine

OCTOBER 31, 2023

Type 2: Full Real-User Monitoring (RUM) If CrUX offers one flavor of real-user data, then we can consider “full real-user data” to be another flavor that provides even more in the way individual experiences, such as specific network requests made by the page. The accuracy of observed data depends on how the test environment is set up.

Speed 97

Speed Google Website Metrics 97

Alex Russell

JANUARY 30, 2024

It's time once again to update our priors regarding the global device and network situation. seconds on the target device and network profile, consuming 120KiB of critical path resources to become interactive, only 8KiB of which is script. What's changed since last year? and 75KiB of JavaScript. These are generous targets.

Performance 90

Performance Network Mobile Speed 90

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Handling the data generated by these networks is a herculean task. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Handling the data generated by these networks is a herculean task. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. What is Multi-CDN?A Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy. Bottleneck Analysis.

Systems 60

Systems Latency Performance Analytics 60

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. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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. Last but not least, the ability to auto-generate optimal neural networks (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

IO River

NOVEMBER 15, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 52

Traffic Network Logistics Architecture 52

Smashing Magazine

AUGUST 3, 2023

You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side. You need to beware of large HTML files or slow network connections because they can lead to longer download times. The reportWebVitals function.

Performance 74

Performance Cache Traffic Metrics 74

All Things Distributed

JUNE 7, 2017

Some applications may also rely on timely decisions: when maneuvering heavy machinery, an absolute minimum of latency is critical. This is determined by basic laws of physics: it takes time to send data to the cloud, and networks don't have 100% availability. Law of Economics. Law of the Land.

AWS 118

AWS IoT Lambda Storage 118

IO River

NOVEMBER 2, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 40

Traffic Network Logistics Architecture 40

ACM Sigarch

MARCH 25, 2019

Part 1 previously discussed Bottleneck Analysis and Little’s Law, while this post (Part 2) presents the M/M/1 Queue. It also presented Bottleneck Analysis and Little’s Law that can give initial answers to questions like: What is the maximum throughput through several subsystems in series and parallel? and 1/S as ?.

Systems 53

Systems Latency Performance C++ 53

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

AUGUST 3, 2021

Lots can go wrong: a network request fails, a third-party library breaks, a JavaScript feature is unsupported (assuming JavaScript is even available), a CDN goes down, a user behaves unexpectedly (they double-click a submit button), the list goes on. The more enriched sentence (right) is an enhancement for when the network request succeeds.

Network 145

Network Engineering Availability Monitoring 145

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. Root-cause analysis and source of the incident.

Social Media 90

Social Media Monitoring Latency DevOps 90

IO River

NOVEMBER 2, 2023

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. Proactive monitoring aids in detecting performance bottlenecks, latency difficulties, and other anomalies that may influence availability.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. Proactive monitoring aids in detecting performance bottlenecks, latency difficulties, and other anomalies that may influence availability.

Availability 52

Availability Social Media Traffic Games 52

O'Reilly Software

APRIL 4, 2018

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

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. Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. Vitaly Friedman. Large preview ).

Performance 145

Performance Cache Media Metrics 145

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 ). Treo Sites provides competitive analysis based on real-world data.

Performance 145

Performance Cache Network Metrics 145

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

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?

Latency 296

Latency Transportation Engineering Traffic 296

ScaleOut Software

MAY 15, 2014

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Also, load-balancing after membership changes must be both multi-threaded and pipelined to drive the network at maximum bandwidth. Please retry later.

Cache 40

Cache Servers Network Design 40