Dynatrace

JANUARY 22, 2024

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. However, correlation does not imply causation.

Artificial Intelligence 206

Artificial Intelligence Healthcare Retail Government 206

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. 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).

Monitoring 202

Monitoring Social Media IoT Metrics 202

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

OCTOBER 14, 2022

Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams. To control local network data volume and potential congestion, Dynatrace also allows filtering of log data on-source—by specific host, service, or even log content—before data is sent to the cloud.

Storage 225

Storage Government Network Infrastructure 225

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. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 245

AWS Efficiency Azure Cloud 245

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. which is difficult when troubleshooting distributed systems.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Advanced Networking – Specialty: Very experienced networking professionals who are also proficient in AWS can benefit from getting this certification. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand. Machine learning.

AWS 207

AWS Best Practices Analytics Cloud 207

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

Dynatrace

NOVEMBER 22, 2021

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. Amazon EC2. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale.

Best Practices 210

Best Practices AWS Monitoring Serverless 210

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. This is not an exhaustive list but an example of what we can watch for.

Performance 107

Performance Monitoring Traffic Database 107

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. Azure Data Lake Storage Gen1. Azure Network Interface. For this, we selected three example services: Azure Automation, Azure Data Factory, and Azure Logic Apps. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1. Azure Data Factory v2. Azure Event Grid. Azure Event Hubs Cluster.

Azure 154

Azure Cloud Tuning Monitoring 154

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 207

Analytics Monitoring Artificial Intelligence DevOps 207

Testsigma

FEBRUARY 13, 2021

Testing in different network conditions: Unlike desktop machines, where a network connection is mostly stable or constant such as LAN or WiFi, mobile devices mostly have a varying network connection due to their portability. A mobile application should be able to adapt itself as per the network condition available.

Mobile 52

Mobile Testing Network Analytics 52

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously.

Analytics 233

Analytics Artificial Intelligence Storage Serverless 233

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. The ability to dynamically create and execute workflows removes this friction.

Lambda 189

Lambda Media Open Source Metrics 189

Smashing Magazine

SEPTEMBER 20, 2021

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. 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.

Website 89

Website Analytics Google Cache 89

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Smashing Magazine

JANUARY 15, 2019

This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. All of the major browsers provide developer tools that allow us to measure network activity.

Website Performance 73

Website Performance Website Energy Performance 73

All Things Distributed

SEPTEMBER 6, 2013

Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. Here are some great examples from different industries each with unique use cases. Shell leverages AWS for big data analytics to help achieve these goals. Royal Dutch Shell – is one of the world’s largest companies. *In

Cloud 129

Cloud Energy AWS Healthcare 129

Dotcom-Montior

OCTOBER 6, 2021

For example, a site reliability engineer may be involved with help desk tickets, on-call incidents, manual tasks, etc. One minute an SRE might be provisioning storage in AWS, the next minute an SRE might have to talk to customers or go write some Python code for a new project. What Does a Site Reliability Engineer Do? Performance.

Engineering 67

Engineering DevOps Monitoring Google 67

All Things Distributed

APRIL 5, 2012

From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Intelligent Social network - Facilitate topical Q&A conversations among employees, customers and our most valued super contributors. Teachers can interact with their colleagues in professional learning networks.

Innovation 146

Innovation AWS Education Network 146

All Things Distributed

AUGUST 17, 2011

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. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it. At werner.ly Syndication.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Driving Storage Costs Down for AWS Customers.

AWS 111

AWS Government Big Data Cloud 111

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JUNE 29, 2018

For example, if an application is analyzing telemetry from the components of a windmill, it can zoom in on the telemetry for each component and combine this with relevant contextual data, such as the component’s make, model, and service history, to enhance its ability to predict impending failures. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

For example, if an application is analyzing telemetry from the components of a windmill, it can zoom in on the telemetry for each component and combine this with relevant contextual data, such as the component’s make, model, and service history, to enhance its ability to predict impending failures. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Consider an example where the data is grouped by a string key and sum of the numerical values is computed in each group: In this example, computation consists of two steps: local aggregation and global aggregation.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 197

AWS Cloud Lambda Analytics 197

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

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. Route 53 provides Authoritative DNS functionality implemented using a world-wide network of highly-available DNS servers. No lock-in. At werner.ly

Cloud 117

Cloud Internet Internet AWS 117

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Synthetic Monitoring is used to simulate defined customer behavior, for example when opening a website and clicking a certain button. Digital Business Analytics.

Analytics 239

Analytics Infrastructure AWS Operating System 239