Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 204

Lambda AWS Serverless Latency 204

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

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 196

Serverless Lambda Azure AWS 196

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 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 209

DevOps Traffic Efficiency Servers 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 191

Artificial Intelligence DevOps Hardware Virtualization 191

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

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 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 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. Improve business decisions with precision analytics.

DevOps 222

DevOps Innovation Infrastructure Analytics 222

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoints can be physical (i.e.,

Monitoring 192

Monitoring Social Media IoT Metrics 192

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. While it can occasionally be a specific server or even an application within a data center, it's predominantly the data center itself. That’s where rules come in.

Traffic 52

Traffic Cache Servers Latency 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

VoltDB

APRIL 25, 2024

While Wi-Fi theoretically can achieve 5G-like speeds, it falls short in providing the consistent performance and reliability that 5G offers, including low latency, higher speeds, and increased bandwidth. Additionally, frequent handoffs between access points can lead to delays and connection drops.

Network 52

Network IoT Wireless Infrastructure 52

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. Just like how a traffic cop ensures cars flow smoothly at an intersection, a Load Balancer makes sure data moves efficiently across the network. That’s where rules come in.

Traffic 40

Traffic Cache Network Servers 40

Smashing Magazine

AUGUST 3, 2023

Time To First Byte (TTFB) This is the time it takes for the first piece of information from the server to reach the user’s browser. You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side.

Performance 75

Performance Cache Traffic Metrics 75

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a web server? Is the web server running? The last item to check was if the web server was able to talk to the database? These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network. Do you have a database? Peer-to-Peer.

Systems 74

Systems Monitoring Hardware Network 74

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. With Azure Batch, you can run large-scale parallel and high-performance computing batch jobs efficiently in Azure.

Azure 144

Azure Cloud Big Data Virtualization 144

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. cameras) in many usages ranging from digital security/surveillance and automated retail (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., By ITIL definition, the service desk may take the form of incident resolution or service requests, but whatever the case, the primary goal of the service desk to provide quick and efficient service. are all prone to performance issues and unexpected outages at some point.

Social Media 90

Social Media Monitoring Latency DevOps 90

Smashing Magazine

MARCH 25, 2021

Many large videos on the web are hand-placed in marketing pages and don’t have sophisticated media servers to deliver appropriate sizes, so I hope in the future we’ll see similar simple HTML features for video delivery that we see in responsive images.” — Scott Jehl. Similarly, unoptimized images were the leading cause of page bloat.

Media 119

Media Performance Mobile Latency 119

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

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

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

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

Smashing Magazine

JANUARY 11, 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. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It used to provide an insight into how quickly the server outputs any data. What does it mean?

Performance 145

Performance Cache Network Metrics 145

ScaleOut Software

MAY 4, 2014

A recent blog post highlighted a Microsoft technical report which asserts that most Hadoop workloads are 100 GB or smaller, and for almost all workloads except the very largest “a single ‘scale-up’ server can process each of these jobs and do as well or better than a cluster in terms of performance, cost, power, and server density.”

Network 40

Network Servers Analytics Storage 40

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. If you put your whole website on CDN, technically you don’t need a large number of server infrastructure and CMS licenses. Decoupled CMS vs. headless CMS.

Systems 63

Systems Cache Website Network 63

KeyCDN

FEBRUARY 14, 2019

A CDN will pull the GIF files from your origin server and cache them. Therefore, the next time a user makes a request for that file it will be delivered from the nearest possible CDN edge server. This results in a reduction in distance travelled and therefore latency, as well as reduces the load on your origin server.

Speed 50

Speed Website Latency Cache 50

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? To get accurate results and goals though, first study your analytics to see what your users are on.

Performance 104

Performance Cache Metrics Network 104

The Morning Paper

SEPTEMBER 12, 2019

j:9] (COL, ACT) AS SELECT WI.COL, softmax(WI.VAL + B.VEC) FROM WI[i][j] AS WI, B[i][j] AS B WHERE WI.COL = B.COL; The backward pass can be expressed similarly: Execution planning for efficiency. Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19.

Network 44

Network Database Programming Hardware 44

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Unwanted Client Exceptions from AppFabric.

Cache 40

Cache Servers Network Design 40