ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

SEPTEMBER 18, 2020

High latency or lack of responses. API manager monitoring from the application server perspective, which is what Dynatrace delivers with the WSO2 API Manager monitoring extension, can save you hours of bug hunting time. This increase is clearly correlated with the increased response latencies. Read on to see how it works.

Infrastructure 192

Infrastructure Latency Metrics Analytics 192

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 25, 2023

However, serverless applications have unique characteristics that make observability more difficult than in traditional server-based applications. Serverless applications have several benefits over server-based applications: Eliminate the need to provision, manage and maintain servers or containers.

Serverless 209

Serverless Lambda Azure AWS 209

Dynatrace

DECEMBER 15, 2022

The roles and responsibilities of ITOps team members include the following: A system administrator configures servers, installs applications, monitors the health of the system, and fixes and upgrades hardware. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Performance.

Artificial Intelligence 204

Artificial Intelligence DevOps Hardware Virtualization 204

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. million AI server units annually by 2027, consuming 75.4+ Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5

Cache 206

Cache Azure Infrastructure Monitoring 206

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). PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

Monitoring 205

Monitoring Social Media IoT Metrics 205

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds.

Design 334

Design Media Storage Logistics 334

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 102

Performance Monitoring Traffic Database 102

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

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. The management console installs as a set of Docker containers on the management server.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

JULY 6, 2020

The Azure MySQL dashboard serves as a comprehensive overview of your MySQL servers and database services. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Get full observability into your Azure MySQL database. Get a comprehensive view of your batch jobs.

Azure 148

Azure Cloud Big Data Virtualization 148

All Things Distributed

JUNE 7, 2017

Some applications may also rely on timely decisions: when maneuvering heavy machinery, an absolute minimum of latency is critical. Before AWS Greengrass, device builders often had to choose between the low latency of local execution, and the flexibility, scale, and ease of the cloud.

AWS 120

AWS IoT Lambda Storage 120

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

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

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. These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center.

Latency 63

Latency Analytics Scalability Engineering 63

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. The simple answer is to just spin up more servers. More servers means more capacity. Spinning up more servers just won’t cut it.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. The simple answer is to just spin up more servers. More servers means more capacity. Spinning up more servers just won’t cut it.

Performance 40

Performance Hardware Latency Infrastructure 40

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

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. Spot Instances - Increased Control.

AWS 114

AWS Cloud Games Latency 114

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., 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. It is an unavoidable fact.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dean Hume

APRIL 24, 2018

As data centers and volumes of servers have grown, so has the overall amount of electricity consumed around the world. Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Server Power Consumption (Source: Intel Labs 2008).

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

As data centers and volumes of servers have grown, so has the overall amount of electricity consumed around the world. Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Server Power Consumption (Source: Intel Labs 2008).

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

As data centers and volumes of servers have grown, so has the overall amount of electricity consumed around the world. Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Server Power Consumption (Source: Intel Labs 2008).

Energy 40

Energy Cache Traffic Website 40

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 115

AWS Latency Storage Big Data 115

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Redis Revealed: An Overview Redis, a renowned open-source, in-memory remote dictionary server, stands out for its diverse data structures and advanced features. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

DECEMBER 5, 2010

The naming system that we are all most familiar with in the internet is the Domain Name System (DNS) that manages the naming of the many different entities in our global network; its most common use is to map a name to an IP address, but it also provides facilities for aliases, finding mail servers, managing security keys, and much more.

Cloud 117

Cloud Internet Internet AWS 117

HammerDB

DECEMBER 5, 2020

For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. Instead all of the client servers are connecting to the TP monitor. Fully audited configurations would require multiple racks of I/O capacity to reach maximum CPU performance.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

JULY 13, 2010

In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. Driving down the cost of Big-Data analytics. No Server Required - Jekyll & Amazon S3. Spot Instances - Increased Control.

Cloud 119

Cloud AWS Automotive Latency 119

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

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Driving down the cost of Big-Data analytics.

AWS 113

AWS Government Big Data Cloud 113

Speed Curve

SEPTEMBER 4, 2013

Bandwidth, latency and it's fundamental impact on the speed of the web. Real User Monitoring (RUM) Pingdom New Relic (also backend, database and server health monitoring) Google Analytics mPulse. Why speed matters, examples of the impact saving a few seconds of load time has had on revenue and engagement. Performance Checklists.

Speed 40

Speed Benchmarking Latency Mobile 40

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

All Things Distributed

DECEMBER 3, 2009

This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Driving down the cost of Big-Data analytics. No Server Required - Jekyll & Amazon S3. blog comments powered by Disqus. Contact Info. Werner Vogels. CTO - Amazon.com. Other places.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. Driving down the cost of Big-Data analytics. No Server Required - Jekyll & Amazon S3. Introducing the AWS South America (Sao Paulo) Region.

AWS 87

AWS Storage Cloud Big Data 87

Dynatrace

JULY 24, 2023

When a server experiences an outage, the system promptly triggers an alert and initiates actions like restarting a server or redirecting traffic to a redundant server. Using advanced causal AI and context-aware decision-making, it identifies the root cause behind server failures.

DevOps 222

DevOps Traffic Efficiency Servers 222