Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 187

DevOps Analytics Airlines Metrics 187

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

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts. Functionality. Performance.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

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. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM.

Performance 102

Performance Monitoring Traffic Database 102

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring. Network latency.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Kinesis Data Analytics. Dynatrace news. Amazon Aurora.

AWS 134

AWS Metrics IoT Storage 134

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Kinesis Data Analytics. Dynatrace news. Amazon Aurora.

AWS 132

AWS Metrics IoT Storage 132

All Things Distributed

OCTOBER 16, 2019

Connected devices allow us to extend our senses to remote locations, such as a robot carrying out work on Mars or monitoring remote oil wells. Here's a few examples: IoT sensors in a factory can monitor and predict equipment failure before an accident. This is the exciting future for IoT, and it's closer than you think.

IoT 126

IoT Healthcare Internet Internet 126

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

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. It also lacks more advanced monitoring and management features like custom alerting, automation, and deeper insights into database performance that are part of MongoDB Enterprise. It’s designed to handle high volumes of data with minimal delay.

Open Source 75

Open Source Database Scalability Software 75

Dotcom-Montior

OCTOBER 6, 2021

Monitoring. 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. As part of the responsibility of an SRE, monitoring and observability are a key component of their duties. Availability. Performance. Incident Response.

Engineering 67

Engineering DevOps Monitoring Google 67

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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

Testsigma

FEBRUARY 12, 2021

Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring. This will rise in the coming year, according to industry analysts. Automation to Enhance AI Security Defence.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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. The key aspect is the presence of the TP Monitor and this is arguably the area where the most confusion arose in stating that a HammerDB TPC-C workload was not an actual TPC-C workload which should have already been clear.

C++ 40

C++ Benchmarking Virtualization Open Source 40

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. . maximum transition latency: Cannot determine or is not supported. . monitoring.

Best Practices 40

Best Practices Scalability Performance C++ 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. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Getting Ready: Planning And Metrics. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

The Netflix TechBlog

SEPTEMBER 2, 2020

In an earlier blog post, we discussed Telltale , our health monitoring system. This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics).

Latency 296

Latency Transportation Engineering Traffic 296

Smashing Magazine

JANUARY 7, 2019

Testing And Monitoring. To get accurate results and goals though, first study your analytics to see what your users are on. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Getting Ready: Planning And Metrics. Setting Realistic Goals. Defining The Environment. Quick Wins.

Performance 104

Performance Cache Metrics Network 104

Alex Russell

JULY 14, 2021

Apps can also monitor user input, resulting DOM, and system auto-filled credentials. Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. How can that be? have invested almost nothing in clarifying the situation.

Google 121

Google Mobile Engineering Internet 121

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167