Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. Introduction of clustered collections for optimized analytical queries. Ready to supercharge your MongoDB experience?

Best Practices 88

Best Practices Hardware Tuning Scalability 88

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

The Netflix TechBlog

OCTOBER 19, 2020

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. The next challenge was to stream large amounts of traces via a scalable data processing platform. What’s next?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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. Error Handling Errors are part of software development. Some of the common supported data reprocessing use cases are listed below.

Media 237

Media Traffic Processing Design 237

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

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. At that time, the team was made up of software engineers. Site reliability engineers bridge the gap between operations and software developers. What are Some Common SRE Responsibilities?

Engineering 67

Engineering DevOps Monitoring Google 67

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. It can be used to power new analytics, insight, and product features.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. 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.

IoT 45

IoT Ecommerce Analytics Latency 45

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 114

AWS Latency Storage Big Data 114

Dotcom-Montior

DECEMBER 8, 2021

Software services still require physical devices and hardware for them to function. 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

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. 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.

IoT 40

IoT Ecommerce Analytics Latency 40

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 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

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Driving down the cost of Big-Data analytics. All Things Distributed.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Often these namespaces are hierarchical in nature such that it becomes easier to manage them and to decentralize control, which makes the system more scalable. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Cloud 117

Cloud Internet Internet AWS 117

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. All Things Distributed.

AWS 61

AWS Cloud Latency Storage 61

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. The system analyzes performance patterns and historical data to uncover the specific software bug or resource constraint causing the issue. DevOps teams need automation that goes beyond passive observations.

DevOps 213

DevOps Traffic Efficiency Servers 213

Scalegrid

JANUARY 12, 2024

Strategic allocation of these resources plays a crucial role in achieving scalability, cost savings, improved performance, and staying ahead of advancements in the field. This also aids scalability down the line. This includes zero-day vulnerabilities and software weaknesses that are not yet known and can be exploited without warning.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. So you look at MongoDB Enterprise software, but its costly and complex licensing structure does not meet your budget goals.

Open Source 77

Open Source Database Scalability Software 77

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. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 166

Metrics Monitoring Database Network 166

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. This allows for faster failover times while minimizing latency. Building upon Redis. Redis and Fast Data.

Scalability 130

Scalability Analytics Cache AWS 130

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. Kafka messaging queue is well known implementation of such a buffer that also supports scalable distributed deployments, fault-tolerance, and provides high performance.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, in various use cases.

Processing 210

Processing Big Data Efficiency Engineering 210

Dynatrace

NOVEMBER 3, 2021

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. DevOps practitioners struggle to maintain highly available and scalable applications. Experienced database administrators learn to spot patterns that can lead to common problems.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

All Things Distributed

JULY 14, 2015

A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g., Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables.

Database 167

Database Lambda AWS IoT 167

Dotcom-Montior

MAY 12, 2020

Modern web applications and pages, such as single-page applications, that put the user experience at its utmost priority are expected to be available 24/7, anywhere in the world, usable on any screen size, secure, flexible, scalable and be ready to meet traffic spikes on demand. Network latency. Network Latency. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

HammerDB

OCTOBER 12, 2018

On the other hand if testing MySQL or MariaDB for the ability to handle a more complex workload such as the use of stored procedures and in particular if looking to compare scalability with a traditional database then HammerDB is focused more towards testing those enterprise features. cpupower frequency-info analyzing CPU 0: .

Best Practices 40

Best Practices Scalability Performance C++ 40

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. Software and hardware components are autonomous and execute tasks concurrently. Scalability. Blockchain is a good example of this. Three-Tier. State is distributed through the system.

Systems 74

Systems Monitoring Hardware Network 74

O'Reilly Software

APRIL 4, 2018

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Determine requirements first. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 bin/pgbench -c 1 -S -T 60 pgbench starting vacuum.end.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. For example, the most fundamental abstraction trade-off has always been latency versus throughput. The throughput of this pipeline is more important than the latency of the individual operations. Driving down the cost of Big-Data analytics.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

FEBRUARY 24, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are many factors that come into play when you need to meet stringent availability and performance requirements under ultra-scalable conditions. Achieving strict consistency can come at a cost in update or read latency, and may result in lower throughput.

AWS 69

AWS Latency Database Scalability 69

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines.

Systems 63

Systems Cache Website Network 63