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. Finding a balance between complexity and impact must be a priority for organizations that adopt AI strategies.

Cache 196

Cache Azure Infrastructure Monitoring 196

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

Dynatrace

JANUARY 31, 2024

At its core, data observability is about ensuring the availability, reliability, and quality of data. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 187

DevOps Analytics Airlines Metrics 187

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

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 236

AWS Efficiency Azure Cloud 236

Scalegrid

MARCH 28, 2024

Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications. Resilience and Reliability: High Availability Solutions Modern applications require high availability, which Redis and Memcached meet. </p>

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps is also responsible for configuring, maintaining, and managing servers to provide consistent, high-availability network performance and overall security, including a disaster readiness plan. Performance. What does IT operations do?

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

Scalegrid

JANUARY 12, 2024

All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings. There are numerous choices available for deploying these workloads on various cloud provider platforms that offer unique capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

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. Some of the common supported data reprocessing use cases are listed below. But to build the data facts, we need the complete data set in the iceberg and not just the new.

Media 237

Media Traffic Processing Design 237

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. How: RUM tooling, analytics, monitoring. Who: Engineers, Product Owners, Marketing.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Get full observability into your Azure MySQL database.

Azure 144

Azure Cloud Big Data Virtualization 144

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. At the same time, metrics on a dashboard are showing resource exhaustion issues, such as lack of available memory. The post Observability vs. monitoring: What’s the difference?

Monitoring 209

Monitoring Metrics DevOps Scalability 209

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Smashing Magazine

MARCH 25, 2021

Also, if you are not using a content delivery network (CDN) or multiple CDNs to map users to the closest edge regions for reduced latencies — a practice called suboptimal routing — you might slow down the start of the video. There are also other options available. And of course, you need to host and deliver your images.

Media 119

Media Performance Mobile Latency 119

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 75

Performance Cache Traffic Metrics 75

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. Availability. Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues. Performance. Monitoring. Incident Response.

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

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

Dotcom-Montior

DECEMBER 8, 2021

This helps to improve efficiency and ensures that information is consistent, up-to-date, and available. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers. These tools should be utilized along with your monitoring strategy.

Social Media 90

Social Media Monitoring Latency DevOps 90

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

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency. Photo by von Vix.

Performance 86

Performance Latency Metrics Engineering 86

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. The US Federal Cloud Computing Strategy lays out a â??Cloud Cloud First. Cloud Firstâ?? With AWSâ??s Cloud Readyâ??; Government and Big Data.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

JULY 11, 2011

With this change, we will improve the granularity of pricing information you receive by introducing a Spot Instance price per Availability Zone rather than a Spot Instance price per Region. Customers whose bids exceed the Spot price gain access to the available Spot Instances and run as long as the bid exceeds the Spot Price.

AWS 85

AWS Storage Cloud Big Data 85

Smashing Magazine

JANUARY 6, 2020

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 ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Time to Interactive (TTI) The point at which layout has stabilized, key webfonts are visible, and the main thread is available enough to handle user input — basically the time mark when a user can interact with the UI.

Performance 104

Performance Cache Metrics Network 104

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. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems 63

Systems Cache Website Network 63

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. This strategy is applicable for joining of a large relation with a small relation or two small relations. Symmetric hash join is a generalization of hash join.

Big Data 154

Big Data Processing Lambda Database 154