Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 201

Cache Azure Infrastructure Monitoring 201

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 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Well-defined APIs are required for managing such microservices and tracking changes in their performance. High latency or lack of responses.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 90

Performance Network Mobile Speed 90

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

Scalegrid

DECEMBER 14, 2023

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. For example, your payment history might be on one database cluster and your analytics records on another cluster.

Java 130

Java Network Servers Database 130

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. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics.

Monitoring 199

Monitoring Social Media IoT Metrics 199

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. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Smashing Magazine

MARCH 25, 2021

How To Boost Media Performance On A Budget. How To Boost Media Performance On A Budget. However, just as out-of-control spending bodes ill in the long run, so does unbudgeted digital media decimate site performance. Performance Budgets. “A A performance budget is ‘. Business Performance. Akshay Ranganath.

Media 118

Media Performance Mobile Latency 118

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. Higher latency and cold start issues due to the initialization time of the functions. Such anomalies can be caused by function cold-starts.

Serverless 203

Serverless Lambda Azure AWS 203

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We have not collected any of that yet, even though all of this data may be particularly useful when debugging an issue.

Metrics 168

Metrics Monitoring Database Network 168

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 216

DevOps Traffic Efficiency Servers 216

Dynatrace

OCTOBER 4, 2021

API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. Modern applications use many independent microservices instead of a few large ones, and one poor-performing service can adversely impact the overall performance of an application.

Monitoring 174

Monitoring Latency Metrics Availability 174

Smashing Magazine

AUGUST 3, 2023

How We Optimized Performance To Serve A Global Audience How We Optimized Performance To Serve A Global Audience Liran Cohen 2023-08-03T10:00:00+00:00 2023-08-03T13:06:00+00:00 I work for Bookaway , a digital travel brand. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings.

Performance 74

Performance Cache Traffic Metrics 74

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. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9% service availability with <50ms latency for an application with no revenue impact.

DevOps 192

DevOps Metrics Best Practices Latency 192

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 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. Vitaly Friedman. Table Of Contents.

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

Dynatrace

MAY 5, 2021

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” For example, improving latency by as little as 0.1

Benchmarking 179

Benchmarking Latency Speed Software 179

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

ACM Sigarch

MARCH 18, 2019

Existing systems can be studied with measurement, while prospective systems are most often studied by extrapolating from measurements of prior systems or via simulation software that mimics target system function and provides performance metrics. Can one both minimize latency and maximize throughput for unscheduled work?

Systems 60

Systems Latency Performance Analytics 60

Dynatrace

DECEMBER 2, 2021

SLOs, together with service-level indicators (SLIs), deliver the performance promised in service-level agreements (SLAs) and other business level objectives (BLOs) while staying within error budgets. For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

The Netflix TechBlog

MARCH 10, 2023

Production assets operations are performed in parallel with older data reprocessing without any service downtime. 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.

Media 237

Media Traffic Processing Design 237

Dynatrace

NOVEMBER 3, 2021

For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. This centralized, automatic approach eliminates the need for manual diagnostics.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

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

Smashing Magazine

OCTOBER 31, 2023

Answering Common Questions About Interpreting Page Speed Reports Answering Common Questions About Interpreting Page Speed Reports Geoff Graham 2023-10-31T16:00:00+00:00 2023-10-31T17:06:18+00:00 This article is sponsored by DebugBear Running a performance check on your site isn’t too terribly difficult. Can’t be perfect every time!

Speed 97

Speed Google Website Metrics 97

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

Speed Curve

MARCH 11, 2024

After years of development and testing, Google has added Interaction to Next Paint (INP) to its trifecta of Core Web Vitals – the performance metrics that are a key ingredient in its search ranking algorithm. But we also approach each new metric with an analytical eye. Not sure what INP means or why it matters? for mobile.

Mobile 81

Mobile Google Metrics Monitoring 81

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

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

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? The answer: Absolutely! downgrading the streaming rate on video). Probably not.

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? The answer: Absolutely! downgrading the streaming rate on video). Probably not.

Analytics 40

Analytics Strategy Network Games 40

All Things Distributed

OCTOBER 12, 2016

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. Developers love the blazing fast performance and in-memory capabilities provided by Redis, making it among the most popular NoSQL key-value stores.

Scalability 130

Scalability Analytics Cache AWS 130

Dynatrace

JULY 6, 2020

Effortlessly optimize Azure database performance. Database-service views provide all the metrics you need to set up high-performance database services. Let’s look at the Azure DB for MariaDB overview as an example. Get full observability into your Azure MySQL database. Get a comprehensive view of your batch jobs.

Azure 146

Azure Cloud Big Data Virtualization 146

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. which is difficult when troubleshooting distributed systems.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233