Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 276

Cache Azure Infrastructure Monitoring 276

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Author & founder of BangDB. Workload C: Read only. This workload is 100% read.

Benchmarking 308

Benchmarking Latency C++ Database 308

Uber Engineering

JANUARY 16, 2023

Uber’s interactive analytics team shares how they integrated Alluxio’s data caching into Presto, the SQL query engine powering thousands of daily active users on petabyte scale at Uber, to dramatically reduce data scan latencies through leveraging Presto on local disks.

Cache 98

Cache Speed Latency Analytics 98

Alex Russell

MARCH 31, 2022

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 89

Cache Government Traffic Network 89

The Netflix TechBlog

SEPTEMBER 18, 2024

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. This cached estimate helps the server set a more optimal limit on the backing store for the initial request, improving efficiency.

Latency 258

Latency Storage Cache Servers 258

CSS Wizardry

SEPTEMBER 16, 2024

Interestingly, 304 responses are still a form of redirect: the server is redirecting your visitor back to their HTTP cache. Ensure you aren’t wastefully revalidating still-fresh resources : These files were revalidated for a repeat page view as they all carried Cache-Control: public, max-age=0, must-revalidate.

Latency 244

Latency Cache Transportation Mobile 244

High Scalability

JANUARY 11, 2022

We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. We will use a cache having an LRU based eviction policy for caching user feeds of active users. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

MARCH 10, 2023

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache.

Strategy 262

Strategy Cache Storage Analytics 262

Dynatrace

NOVEMBER 28, 2022

Lambda then takes a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. Simplify error analytics. With SnapStart enabled, function code is initialized once when a function version is published. Optimize timing hotspots.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Streamlined asset caching: Asset caching is critical for creating accurate replays. Ready to master session replay? Sign up here.

Mobile 264

Mobile Website Analytics Cache 264

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

CSS Wizardry

NOVEMBER 9, 2018

In fact, Google Analytics even tell us what to do, and they’re right: Copy and paste this code as the first item into the of every webpage you want to track. We’re also able to adopt a more deliberate caching strategy, only cache busting the files that need it and leaving the rest untouched. it can often be a net loss.

Network 279

Network Performance Media Cache 279

Dynatrace

DECEMBER 21, 2023

Implement appropriate caching layers (for example, read-only cache for static data). Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). Reduce inter-process communications overhead. Implement intelligent retry and failover processes.

Cloud 264

Cloud Energy Best Practices Cache 264

Dynatrace

DECEMBER 13, 2023

This can be achieved by reducing the size of files or images, using caching, and compressing data. Minimizing the number of network requests that your app makes can improve performance by reducing latency and improving load times. Optimize images and videos.

Best Practices 246

Best Practices Mobile Metrics Performance 246

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). People Analytics Can we support AB experiments related to recruiting and help improve candidate experience as well as attract solid talent?

Infrastructure 184

Infrastructure Cloud Scalability AWS 184

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. REDIS for caching. 3 Log Analytics. If you want to learn more about log analytics, check out my YouTube tutorial on Log Analytics and look out for our product team’s blog on log analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 170

AWS Monitoring Ecommerce Lambda 170

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Architecture Scalability 130

Dynatrace

MARCH 22, 2023

For these, it’s important to turn off auto-completing forms, encrypt data both in transit and at rest with up-to-date encryption techniques, and disable caching on data collection forms. In addition, analyze data from a unified observability view that provides contextualized application security analytics.

Open Source 246

Open Source Artificial Intelligence Internet Internet 246

Dynatrace

MAY 17, 2023

Because OpenTelemetry is a set of protocols, definitions, and SDKs, it does not provide that ability, so it needs an analytics back end. This level of granularity, down to individual parts of our code, assists us when we troubleshoot code or performance issues and provides detailed insight.

Metrics 245

Metrics Open Source Traffic Cache 245

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. Driving down the cost of Big-Data analytics.

Cloud 103

Cloud Cache AWS Storage 103

The Netflix TechBlog

OCTOBER 8, 2024

We do not use it for metrics, histograms, timers, or any such near-real time analytics use case. Once a range of data becomes immutable, we can safely do things like caching, compressing, and compacting it for reads. Caching: Take advantage of immutability of data and cache it intelligently for discrete time ranges.

Latency 237

Latency Storage Traffic Infrastructure 237

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

All Things Distributed

JUNE 21, 2018

In-memory: Financial services, Ecommerce, web, and mobile application have use cases such as leaderboards, session stores, and real-time analytics that require microsecond response times and can have large spikes in traffic coming at any time. Search: Many applications output logs to help developers troubleshoot issues.

Database 166

Database AWS Games Latency 166

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Ecommerce 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Ecommerce 52

Scalegrid

JANUARY 21, 2025

To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. Many of our customers share my excitement: Interactive Intelligence, Inc.

Scalability 100

Scalability Cache Analytics AWS 100

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 136

Performance Monitoring Traffic Database 136

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

SEPTEMBER 20, 2021

We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services. Search Engine And Web Archive Cached Results.

Website 108

Website Analytics Google Cache 108

Scalegrid

MAY 11, 2024

WiredTiger is a good all-purpose engine while In-Memory is better for specific use cases such as real-time analytics. It uses a filesystem cache and write-ahead log for crash recovery. MongoDB makes use of both the filesystem cache and the WiredTiger internal cache.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

NOVEMBER 3, 2021

Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization. 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.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Brendan Gregg

APRIL 14, 2022

The Netflix stack is more diverse than I was expecting, and is explained in detail in the [Netflix tech blog]: The production cloud is AWS EC2, Ubuntu Linux, Intel x86, mostly Java with some Node.js (and other languages), microservices, Cassandra (storage), EVCache (caching), Spinnaker (deployment), Titus (containers), Apache Spark (analytics), Atlas (..)

Java 142

Java Cloud Cache AWS 142

ScaleOut Software

MAY 15, 2014

Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers. One or more specified cache servers are unavailable, which could be caused by busy network or servers. …). Please retry later.

Cache 40

Cache Servers Network Design 40

All Things Distributed

DECEMBER 5, 2010

There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Caching techniques ensure that the DNS system doesnt get overloaded with queries. No Server Required - Jekyll & Amazon S3.

Cloud 111

Cloud Internet Internet AWS 111

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. We love what we do and care about doing good in the world.

Healthcare 122

Healthcare Best Practices DevOps Cache 122