Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole.

Artificial Intelligence 173

Artificial Intelligence DevOps Strategy Open Source 173

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

Dynatrace

AUGUST 28, 2023

Almost two decades ago, a Google experiment showed that fast-loading transactions are more important to customers than content quality—even small increases in transaction delay result in substantially more abandoned sessions. Most retailers work with multiple carriers to handle deliveries, resulting in disparate tracking systems.

Retail 191

Retail Logistics Innovation Analytics 191

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.

Serverless 196

Serverless Lambda Azure AWS 196

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). Procella system overview.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. Originally created by Google, Kubernetes was donated to the CNCF as an open source project.

Infrastructure 176

Infrastructure Open Source Operating System Cloud 176

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. They are required to understand the full story of what happened in a system.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

NOVEMBER 15, 2021

Organizations are constantly being measured against the best available digital experiences — coming from Google, Amazon, Facebook, and other industry leaders. Google Core Web Vitals : Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift (specifically for web). User experience score.

Mobile 206

Mobile Social Media Monitoring Metrics 206

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. What is Docker?

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Dynatrace extends contextual analytics and AIOps for open observability. Digital transformation with AWS: Making it real with AIOps.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Declarative APIs. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. Data Mesh leverages Iceberg tables as data warehouse sinks for downstream analytics use cases.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

APRIL 22, 2022

After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. Once the accounts are set up in Dynatrace, the system queries Amazon CloudWatch for new metrics every five minutes. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 161

Cloud Lambda Serverless AWS 161

Dotcom-Montior

OCTOBER 6, 2021

The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. At that time, the team was made up of software engineers.

Engineering 67

Engineering DevOps Monitoring Google 67

Website Optimization

APRIL 26, 2020

Google previously provided the average ad position (1.5 Google has replaced this metric with Impressions Top and Absolute Top (see Figure 1). Derived from Google Analytics, the average session duration shows how long the average session lasts in seconds. Figure 3: Linking Google Analytics into Google Ads.

Google 59

Google Analytics Metrics Code 59

Testlodge

NOVEMBER 12, 2021

For medium to large scale applications, compatible with all commonly available operating systems and internet browsers is essential. If executed efficiently with maximum coverage, can confirm the stability and workability of the application. The most commonly used operating systems and browsers need to be involved.

Testing 78

Testing Hardware Operating System Mobile 78

Tasktop

JANUARY 5, 2022

This is by no means a unique phenomenon: Any marketing expert could tell you, for example, how Google Analytics can paint a very different picture depending on the selected date range. . Flow Metrics tell a story about the speed, throughput and efficiency of a value stream. Tips to avoid this anti-pattern: .

Metrics 98

Metrics Speed Analytics Azure 98

Testsigma

MARCH 12, 2021

According to Google, the meaning of a “robot” is: “ a machine resembling a human being and able to replicate certain human movements and functions automatically.” Robotic Process Automation is the process of mimicking a user’s actions on the system and performing them automatically. What is Robotic Process Automation (RPA)?

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

Dotcom-Montior

OCTOBER 19, 2021

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Kubernetes. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

DECEMBER 9, 2020

We’re happy to announce that Dynatrace now provides guidance and templates for setting up Service-Level Objectives (SLOs) with the right metrics, gives you all the facts, and combines this with the powerful analytics of problem root-cause detection. Read more: Google’s definition of the term Site Reliability Engineering.

Metrics 147

Metrics Engineering Google Monitoring 147

Alex Russell

JULY 14, 2021

Google's Search App and Facebook's various apps for Android undermine these choices in slightly different ways. [3] Developers also suffer higher costs and reduced opportunities to escape Google, Facebook, and Apple's walled gardens. Instead, they load content referred by their hosting native app in system-provided WebViews.

Google 121

Google Mobile Engineering Internet 121

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. ” Crusher is a Google system for automatically discovering email templates (e.g. Could it be Analyzing efficient stream processing on modern hardware ? What’s their secret??? Yes please!

Blockchain 46

Blockchain Hardware Google Analytics 46

Smashing Magazine

JUNE 25, 2021

On design systems, CSS/JS and UX. For this, you can use such well-known tools as Semrush and SimilarWeb and reviews from Trustpilot , Google Play , and Apple’s App Store. SimilarWeb analytics for the edX platform ( Large preview ). Done with the analytical check, I moved on to user interviews. Jump to online workshops ?.

Education 86

Education Website Google Design 86

Smashing Magazine

AUGUST 3, 2023

While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. It was only in 2020, though, that Google shared its concept of Core Web Vitals and how it impacts SEO efforts. SEO is key to our success. Bookaway site search.

Performance 75

Performance Cache Traffic Metrics 75

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. Technical leads and architects (about 11%) are next, followed by software and systems architects (9+%). More than half of respondents use multiple cloud services. • More than half of respondent organizations use microservices.

Cloud 141

Cloud Serverless AWS Architecture 141

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Raw content data along with templates are version controlled using Git or similar versioning systems. can generate an HTML-only website without involving a CMS.

Systems 63

Systems Cache Website Network 63

Dotcom-Montior

FEBRUARY 19, 2022

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Kubernetes. Kubernetes.

Engineering 52

Engineering Open Source Programming Monitoring 52

Smashing Magazine

JANUARY 15, 2019

Partly as a result of this campaign, Google announced last year that for the first time it had purchased enough renewable energy to match 100% of its global consumption for operations. For the more adventurous/technical, the top (table of processes) command provides similar metrics on most Unix-like operating systems such as macOS and Ubuntu.

Website Performance 74

Website Performance Website Energy Performance 74

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. On design systems, UX, web performance and CSS/JS. Switch your analytics. Do you really need Google Analytics on every site you build? Identifying where sustainability and cost savings overlap is a good place to start.

Strategy 126

Strategy Development Energy Website 126

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).

Database 40

Database Analytics Blockchain Healthcare 40

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. million Google Play Store applications, followed by 1.96

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92