Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. This freshness measurement can then be used by out-of-the-box Dynatrace anomaly detection to actively alert on abnormal changes within the data ingest latency to ensure the expected freshness of all the data records.

DevOps 194

DevOps Analytics Airlines Metrics 194

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

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. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 204

Cache Azure Infrastructure Monitoring 204

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

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. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

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. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns).

Media 237

Media Traffic Processing Design 237

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. Global Reach and Cloud Integration ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

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 246

AWS Efficiency Azure Cloud 246

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 203

Monitoring Social Media IoT Metrics 203

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Performance. What does IT operations do?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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.

DevOps 220

DevOps Traffic Efficiency Servers 220

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.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Scalegrid

JANUARY 12, 2024

High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. 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

Dynatrace

FEBRUARY 2, 2022

service availability with <50ms latency for an application with no revenue impact. To avoid this, start the SLO discussion early in the design process. Simply performing eyeball analytics by looking at multiple dashboards slows down the quality evaluation process and introduces a higher risk of failures.

DevOps 196

DevOps Metrics Best Practices Latency 196

Dynatrace

OCTOBER 1, 2021

When an observability solution also analyzes user experience data using synthetic and real-user monitoring, you can discover problems before your users do and design better user experiences based on real, immediate feedback. The architects and developers who create the software must design it to be observed. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

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 Kinesis Data Analytics. Amazon Elastic File System (EFS). Amazon EMR. Amazon Elasticsearch Service (ES).

AWS 136

AWS Metrics IoT Storage 136

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 Kinesis Data Analytics. Amazon Elastic File System (EFS). Amazon EMR. Amazon Elasticsearch Service (ES).

AWS 133

AWS Metrics IoT Storage 133

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. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. Keep SLOs simple, few and realistic.

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

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.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

JULY 17, 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. It’s a good setup for real-time analytics and high-speed logging. It ranks No.

Open Source 78

Open Source Database Scalability Software 78

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 74

Performance Cache Traffic Metrics 74

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

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

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 45

IoT Ecommerce Analytics Latency 45

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. For example, compression schemes may evolve to be analytics aware. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 40

IoT Ecommerce Analytics Latency 40

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

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

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

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

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.

Traffic 52

Traffic Network Logistics Architecture 52

Dotcom-Montior

DECEMBER 8, 2021

ITSM defines how teams design, create, and deliver their services. 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.

Social Media 90

Social Media Monitoring Latency DevOps 90

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. Countdown to What is Next in AWS.

AWS 112

AWS Cloud Games Latency 112

All Things Distributed

DECEMBER 14, 2011

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. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS 114

AWS Latency Storage Big Data 114

Smashing Magazine

AUGUST 3, 2021

This liberal attitude is known as Postel’s Law, which is conveyed superbly by Jeremy Keith in Resilient Web Design : “Even if there are errors in the HTML or CSS, the browser will still attempt to process the information, skipping over any pieces that it can’t parse.”. On design systems, CSS/JS and UX. JavaScript is less forgiving.

Network 145

Network Engineering Availability Monitoring 145