Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. “At one point, we saw a process that was causing a lot of CPU contention.

Cloud 168

Cloud Ecommerce Performance Retail 168

Dynatrace

MARCH 29, 2024

While respondents have made progress in terms of instrumentation, This suggests there is ample opportunity for organizations to use a log management and analytics platform such as Dynatrace to ingest and analyze log data. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

FEBRUARY 1, 2024

Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes.

Performance 232

Performance Analytics Mobile Innovation 232

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. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 243

AWS Efficiency Azure Cloud 243

Tasktop

DECEMBER 12, 2022

In a world where agility and rapid feature delivery are crucial, sprawling, siloed organizations laden with top-down processes are at a disadvantage. This team was ripe for change, so they were chosen to pilot the organization’s agile transformation, using Flow Metrics to guide and measure their progress.

Metrics 52

Metrics Benchmarking Efficiency Speed 52

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. To make it easier let me walk you through the things I have learned in this video so you can bring Dynatrace Cloud Automation to your progressive delivery process. Having metrics with version information, e.g,

Cloud 229

Cloud Metrics Strategy Monitoring 229

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 206

Analytics Metrics Media Monitoring 206

Dynatrace

FEBRUARY 2, 2022

A broken SLO with no owner can take longer to remediate and is more likely to recur compared to an SLO with an owner and a well-defined remediation process. Establish the relevant service level indicators (SLIs) that need to be monitored, the process for remediating any issues, the relevant tools required, and timeframes for resolution.

DevOps 192

DevOps Metrics Best Practices Latency 192

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. Shifting left is the practice of moving testing, quality, and performance evaluation early in the development process, often before code is written. Shift-right ensures reliability in production. Together they equal better software.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

MAY 27, 2022

An AIOps stack featuring Dynatrace, ServiceNow, and Ansible automates and shortens that process for Lockheed Martin, Walker and Swofford explain. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. The script then restarts the web service and checks the server’s health.

Artificial Intelligence 183

Artificial Intelligence Innovation Servers Database 183

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. So, what is ITOps? What is ITOps? Reliability. Performance.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Dynatrace extends contextual analytics and AIOps for open observability. 9 key DevOps metrics for success. What is observability?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 179

Benchmarking Latency Speed Software 179

Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance 108

Performance Monitoring Traffic Database 108

Jos

JUNE 17, 2017

In a recent post about Chrome 60 Beta , Google announced the support of the Paint Timing API to get metrics on when your page starts rendering and when the user gets content that can be consumed (more info on the definition of the events below). Yet those metrics don’t tell us the whole picture about the rendering experience.

Google 130

Google Analytics Metrics Speed 130

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Replays provide on-demand data about where conversion processes aren’t working. Are customers losing interest?

Mobile 243

Mobile Website Analytics Cache 243

Dynatrace

MAY 7, 2019

Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. These enhancements include: Integration of the new Kubernetes/OpenShift cluster metrics with custom charting. Universal container-level metrics for resource contention analytics.

Monitoring 201

Monitoring Architecture Metrics Analytics 201

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.

Analytics 187

Analytics Software Software Storage 187

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said.

Analytics 178

Analytics Artificial Intelligence Engineering Storage 178

Jos

JUNE 2, 2018

At the same time, they open a door to lots of concepts that might be overwhelming: PRPL, RAIL, Paint Timing API, TTI, HTTP/2, Speed Index, Priority Hints and more … Why Performance doesn’t get Prioritized Web performance at organizations is a real challenge. One could argue this is a metric-driven decision. Well, not so fast.

Performance 237

Performance Speed Google Media 237

Speed Curve

FEBRUARY 15, 2021

Web pages are unbelievably complex, and there are hundreds of different metrics available to track. A performance budget is a threshold that you apply to the metrics you care about the most. This is when you run into three important questions: Which metrics should you focus on? Which metrics should you focus on?

Performance 134

Performance Metrics Benchmarking Google 134

Smashing Magazine

DECEMBER 17, 2020

Implementing SEO best practice doesn’t just give you the best chance possible of ranking well in search engines; it makes your websites better by scrutinizing quality, design, accessibility, and speed, among other things. Where Does SEO Belong In Your Web Design Process? ” Prioritizing Metrics Online metrics are almost limitless.

Engineering 130

Engineering Google Website Analytics 130

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail can store and process 1,000 petabytes per day,” Greifeneder explains.

Analytics 182

Analytics Innovation Metrics Database 182

Jos

JUNE 17, 2017

In a recent post about Chrome 60 Beta , Google announced the support of the Paint Timing API to get metrics on when your page starts rendering and when the user gets content that can be consumed (more info on the definition of the events below). Yet those metrics don’t tell us the whole picture about the rendering experience.

Google 100

Google Analytics Metrics Speed 100

Dynatrace

MAY 13, 2020

Dynatrace’s Software Intelligence Platform includes multiple modules, underpinned by a common data platform, and offers users APM, AIOps, infrastructure monitoring spanning logs and metrics, digital business analytics and digital experience monitoring capabilities.

Energy 138

Energy Innovation Analytics Monitoring 138

Speed Curve

OCTOBER 25, 2023

Fighting regressions should be the top priority of anyone who cares about the speed of their site. The best way to fight regressions is to create performance budgets on key metrics, and get alerted when they go out of bounds. Imagine that your website is a vault containing billions of dollars in jewels. – your page renders.

Benchmarking 62

Benchmarking Metrics Website Monitoring 62

Tasktop

JUNE 25, 2019

Architecting for flow is crucial because enterprise software delivery, by its very nature, is a broken process. The complex — and often implicit — network of teams, tools and processes that plan, build and deliver are disconnected by the role-specific tools used by teams across the ideate, create, release and operate stages. .

Speed 40

Speed Software Software DevOps 40

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Speed Curve

MAY 9, 2023

Today at Google I/O 2023, it was announced that Interaction to Next Paint (INP) is no longer an experimental metric. It's been hugely helpful to have a simple set of three metrics – focused on loading, interactivity, and responsiveness – that everyone can understand and focus on. How does INP compare to FID? have occurred.

Metrics 96

Metrics Google Mobile Analytics 96

Dynatrace

OCTOBER 28, 2019

Easily compare and view trends on multiple metrics with the new visualization. Third-party content can include ads, analytics, widgets, and other scripts. How does the customers’ browser version impact the speed of our website? Easily compare and view trends across multiple metrics.

Website 102

Website Metrics Tuning Analytics 102

Dynatrace

AUGUST 2, 2021

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations.

Metrics 245

Metrics Analytics Google Code 245

CSS Wizardry

NOVEMBER 3, 2020

When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. Google Analytics can show us individual slow pages, but doesn’t necessarily help us build a bigger picture of the site as a whole. Higher variance means a less stable metric across pages.

Speed 292

Speed Ecommerce Metrics Analytics 292

Dynatrace

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. In a pilot project, the system will likely be analyzing a narrow set of technologies, processing data that’s typically static and confined when compared with the dynamism of full production environments. The result?

Artificial Intelligence 144

Artificial Intelligence Efficiency Analytics Innovation 144