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

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. It involves carefully examining the test results from the previous testing phase. Configure an action for the Site Reliability Guardian in the workflow.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

FEBRUARY 16, 2023

Maciag cited a Dynatrace customer who observed that their ingestion rates and costs were linearly increasing, but the value and analytics their teams could extract were not correlating. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 171

Analytics Innovation Cloud Scalability 171

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 225

Lambda AWS Serverless Latency 225

Scalegrid

JANUARY 20, 2020

This extra cluster, known as a follower cluster, can be leveraged for multiple use cases, including for analyzing, optimizing and testing your application performance for MongoDB , MySQL and PostgreSQL. The ‘follower’ system is writable, so you can use it as a staging environment to test your application changes. Data Analytics.

Analytics 185

Analytics Storage Database Systems 185

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. For model explainability, they can implement custom regression tests, providing indicators of model reputation and behavior over time.

Cache 204

Cache Azure Infrastructure Monitoring 204

CSS Wizardry

OCTOBER 27, 2018

A lot of companies—even if they are aware that performance is key to their business—are often unsure of how, when, or where performance testing sits within their development lifecycle. Each kind of testing is listed chronologically—that is, you should do them in order—but all complement each other, and will ultimately feed into one another.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Dynatrace

APRIL 11, 2023

Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components. Learn how to automate DevSecOps at scale.

Cloud 187

Cloud DevOps Open Source Retail 187

Dynatrace

JULY 6, 2022

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. Testing automation can be painstaking. It’s also crucial to test frequently when automating IT operations so that you don’t automatically replicate mistakes.

Artificial Intelligence 189

Artificial Intelligence Tuning Strategy Big Data 189

The Netflix TechBlog

MAY 21, 2019

using RL agents for test case scheduling By: Stanislav Kirdey , Kevin Cureton , Scott Rick , Sankar Ramanathan Introduction Netflix brings delightful customer experiences to homes on a variety of devices that continues to grow each day. Detect a regression in a test case. These problems could be solved in several different ways.

Testing 163

Testing AWS Lambda Network 163

Testsigma

JULY 3, 2021

If you’ve been performing on-premise testing in your organization, you know the rules already. But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. On-premise testing comes with a lot of responsibility.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

NOVEMBER 2, 2022

This methodology combines software design, development, automation, operations, and analytics to boost customer experience, increase application security, and reduce downtime that affects business outcomes. Autonomous testing. As teams develop software more quickly, they can’t rely on manual methods to test applications.

Software 195

Software Software Artificial Intelligence DevOps 195

Dynatrace

NOVEMBER 8, 2021

.” In its 2021 Magic Quadrant™ for Application Performance Monitoring, Gartner® defines APM as “Software that enables the observation of application behavior and its infrastructure dependencies, users and business key performance indicators (KPIs) throughout the application’s life cycle. Application performance insights.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

APRIL 26, 2022

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

DECEMBER 27, 2022

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle.

Software 263

Software Software Benchmarking Latency 263

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Automation at scale. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run.

Innovation 197

Innovation Software Software Cloud 197

Dynatrace

MAY 17, 2023

The technology lets people learn about solutions by typing questions into a search bar, such as, “How do I import and export test cases between my environments?” GPTs can also help quickly onboard team members to new development platforms and toolsets. and “What’s the best way to integrate this solution with my toolchain?”

Innovation 260

Innovation Software Software Artificial Intelligence 260

The Netflix TechBlog

MARCH 2, 2021

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We use A/B tests to introduce new product features, such as our daily Top 10 row that help our members discover their next favorite show. Learning through data is in Netflix’s DNA.

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations.

Cloud 177

Cloud Open Source Architecture Monitoring 177

Dynatrace

FEBRUARY 28, 2022

We’ve architected this virtual university to align to all Dynatrace Platform modules – from infrastructure monitoring and digital experience management to cloud automation and business analytics. Every year at Perform, we put DTU to the test with hands-on learning and certifications. Get started with Dynatrace University.

Virtualization 200

Virtualization Education Cloud Monitoring 200

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 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

Testsigma

MAY 24, 2021

Thus, cross-browser testing is needed in order to ensure that your visitors see your application in the same way you want them to, irrespective of the browsers they are using to access it. Testsigma is a cloud-based cross-browser testing tool that lets you easily automate the end-to-end test cases for the web. Prerequisites.

Website 52

Website Testing Operating System Testing Tools 52

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. Then those tools have to be configured and tested to work together. What is PostgreSQL used for?

Open Source 78

Open Source Healthcare Social Media Database 78

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. If so, test against the response time objective under the same Site Reliability Guardian.

AWS 247

AWS Efficiency Azure Cloud 247

Dynatrace

DECEMBER 2, 2021

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. Stable, well-calibrated SLOs pave the way for teams to automate more processes and testing throughout the software delivery life cycle (SDLC).

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This gives users all of the capabilities of the ScaleOut Digital Twin Streaming Service with complete infrastructure control.

IoT 52

IoT Azure Analytics Healthcare 52

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Apica

NOVEMBER 15, 2019

With this shift in applications everywhere enterprises need to do their due diligence in performance testing complex modern applications at scale, often and at a lower cost to stay competitive. With this growth and added complexity, how are your legacy performance testing solutions keeping up?

Performance Testing 40

Performance Testing Testing Performance Games 40

All Things Distributed

DECEMBER 1, 2016

I was joined by 32,000 James Bonds at the conference today from all around the world, and we introduced new services focused on accelerating this transformation across development, testing and operations, data and analytics, and computation itself. Transformation in Development, Testing, & Operations.

AWS 162

AWS Development Lambda Open Source 162

Dynatrace

NOVEMBER 5, 2019

Combined, these integration points cover the full application stack from infrastructure monitoring to end-user experience. Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. How does Dynatrace fit in?

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Jos

JUNE 2, 2018

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. And don’t forget about covering your back with tests. Only then it will be built.

Performance 237

Performance Speed Google Media 237

Percona

JUNE 23, 2023

However, if you have certain data processing needs, budget requirements, limitations in the skill level of support staff, or infrastructure issues, then you need to be a little pickier. Window Functions are great for analytics, but is that something you are going to use? And these: Does it have the functions you need?

Database 119

Database Transportation Servers Cloud 119

The Netflix TechBlog

JULY 30, 2019

Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. This allows us to proactively push changes to the open source version while ensuring that the changes are fully functional and well-tested. Validations and Testing Dry runs, i.e

Lambda 189

Lambda Media Open Source Metrics 189

Smashing Magazine

DECEMBER 19, 2021

So, Smashing Magazine knows about web performance, and if they were struggling, then this could be an interesting test case to look at! We’d noticed in Google Analytics a lot of traffic from India to old articles — could that be an issue? Based on the top 10 countries in Google Analytics we have the following data: Country.

Google 143

Google Traffic Mobile Website 143

Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.

Engineering 241

Engineering Development DevOps Infrastructure 241

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Only with Dynatrace Digital Busines Analytics.

Analytics 171

Analytics Artificial Intelligence Metrics Design 171