High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. You are both captain and crew.

Database 130

Database Cloud Hardware Storage 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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Procella achieves high scalability and efficiency by segregating storage (in Colossus) from compute (on Borg).

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work? The post What is container orchestration?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. Typically, these are streamed to a central syslog server. Log ingestion strategy no. 1: Welcome syslog, with the help of Fluentd.

Strategy 180

Strategy AWS Open Source Transportation 180

Percona

MARCH 17, 2023

But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine.

Monitoring 100

Monitoring Scalability Cache Database 100

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Contact us to learn more!

Open Source 52

Open Source Servers Storage Scalability 52

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

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111

Big Data Analytics AWS Cloud 111

Percona

JULY 17, 2023

DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM. Do it without licensing costs and vendor lock-in.

Open Source 76

Open Source Database Scalability Software 76

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. What is PostgreSQL used for?

Open Source 79

Open Source Healthcare Social Media Database 79

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. No Server Required - Jekyll & Amazon S3. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. No Server Required. Comments ().

Servers 126

Servers Social Media AWS Website 126

Dynatrace

NOVEMBER 5, 2019

Dependency agent Installation – Maps connections between servers and processes. 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. Organic scalability of the monitoring platform with the applications.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). 3 Log Analytics. Full-stack observability. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Scalability comes at a price. Challenges of On-Premise Testing.

Cloud 57

Cloud Testing Storage DevOps 57

Percona

DECEMBER 14, 2022

Online analytical processing , OLAP : Online analytical processing applications enable users to analyze multidimensional data interactively from multiple perspectives which consist of three basic analytical operations: . The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements.

Database 93

Database Analytics Storage Processing 93

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . HammerDB difference from Sysbench. Otherwise find the file ut0ut.cc perf special. monitoring.

Best Practices 40

Best Practices Scalability Performance C++ 40

HammerDB

JUNE 27, 2022

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

SEPTEMBER 14, 2023

However, modern business is very much dependent on analytical data. ClickHouse is a columnar database that handles analytical workloads quickly. I recommend you read our previous blog, Using ClickHouse as an Analytic Extension for MySQL , from Vadim to know more about this. Both servers are running their respective databases.

Engineering 89

Engineering Database Servers Analytics 89

The Netflix TechBlog

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

All Things Distributed

JULY 7, 2011

Werner Vogels weblog on building scalable and robust distributed systems. AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. Amazon Import/Export is an important tool for customers to accelerate moving large amounts of data into the AWS storage systems.

AWS 96

AWS Cloud Storage Internet 96

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Caching has become a standard component in many applications to achieve a fast and predictable performance, but maintaining a collection of cache servers in a reliable and scalable manner is not a simple task. Driving Storage Costs Down for AWS Customers.

Cloud 117

Cloud Cache AWS Storage 117

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Early web applications involved less on client-side behavior and more server-side for all its navigation, query handling, and updates. No response from the server within the determined timeout. Connection closed by the server.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

All Things Distributed

FEBRUARY 23, 2011

Werner Vogels weblog on building scalable and robust distributed systems. In a follow up to the last blog post I have removed the last two dependencies this blog had on running a server somewhere: comments are now served by Disqus and search is now handled by Bing. Driving Storage Costs Down for AWS Customers. Comments ().

AWS 78

AWS Storage Big Data Servers 78

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Comments ().

AWS 114

AWS Latency Storage Big Data 114

All Things Distributed

APRIL 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Troy: We moved our service from internal servers to AWS. More recently weve expanded our platform to include additional forms of user interaction observation in support of our real-time analytics – here weve begun to leverage NoSQL technologies like Redis.

Innovation 146

Innovation AWS Education Network 146

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps. Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps. Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide.

Cloud 40

Cloud Azure Virtualization Scalability 40

All Things Distributed

AUGUST 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

AWS 75

AWS Database Storage Scalability 75