Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

JANUARY 30, 2024

You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Johnson also shared how his team is using AI to automate certain talent management processes, such as expediting applicant-job matching and aligning training and certification offerings with workforce skill gaps. Download now!

Artificial Intelligence 211

Artificial Intelligence Government Innovation Programming 211

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. The result is increased efficiency, reduced operating costs, and enhanced productivity. Automate DevSecOps processes at scale. Software is behind most of our human and business interactions.

Software 196

Software Software Analytics Big Data 196

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. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 191

Artificial Intelligence DevOps Strategy Open Source 191

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. Order processing workflow is triggered by customer orders.

Retail 211

Retail Logistics Innovation Analytics 211

Dynatrace

APRIL 25, 2023

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. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

Serverless 216

Serverless Lambda Azure AWS 216

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 259

Engineering DevOps Government Latency 259

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Set up processing rules.

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 197

Analytics Artificial Intelligence Big Data Open Source 197

Dynatrace

MARCH 18, 2024

Proactive cost alerting Proactive cost alerting is the practice of implementing automated systems or processes to monitor financial data, identify potential issues or anomalies, ensure compliance, and alert relevant stakeholders before problems escalate. This awareness is important when the goal is to drive cost-conscious engineering.

Best Practices 241

Best Practices Strategy Cloud AWS 241

Rigor

OCTOBER 30, 2019

One free tool has become prominent in the space – Google Lighthouse – and one question often bubbles up: “I use Google Lighthouse for one-off snapshots of my site’s performance, so why do I need a performance monitoring solution?” Where Google Lighthouse Shines Bright.

Google 51

Google Best Practices Energy Website 51

The Netflix TechBlog

MAY 19, 2023

By Chris Wolfe , Joey Schorr , and Victor Roldán Betancort Introduction The authorization team at Netflix recently sponsored work to add Attribute Based Access Control (ABAC) support to AuthZed’s open source Google Zanzibar inspired authorization system, SpiceDB. A cleanup process to prune stale relationships from the database.

Cache 249

Cache Google Open Source Systems 249

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 2, 2023

FinOps becomes more critical as organizations grow The value of FinOps lies in its potential to move organizations toward financial success with smart, cost-efficient cloud spend implemented from day one. Additionally, include benchmarks for stakeholders and best practices that support the anticipated growth of the organization as a whole.

Cloud 205

Cloud Strategy Retail Energy 205

Testsigma

SEPTEMBER 28, 2021

However, the process of analyzing and selecting the thousands of device, OS, and browser combinations requires time, expertise, and effort too. Test automation is required to perform this whole process efficiently and repeatedly. There are multiple entities that are participating in a single process.

Efficiency 71

Efficiency Testing Testing Tools Website 71

Dynatrace

FEBRUARY 29, 2024

People gain efficiencies. Apple Podcasts Spotify Google Podcasts Amazon Music Pocket Casts Stitcher The post Tech Transforms podcast: Government digital transformation and how agencies can balance innovation and security appeared first on Dynatrace news. we think this is net good. They gain security.”

Government 179

Government Innovation Artificial Intelligence Small Business 179

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. The public cloud’s ability to scale efficiently enables ‘cloudbursting’ when demand spikes without requiring businesses to overprovision their own infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 184

Engineering DevOps Government Latency 184

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”

Architecture 246

Architecture Software Software Development 246

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. With the significant growth of container management software and services, enterprises need to find ways to simplify the process. Process portability. million in 2020. The solution: container as a service.

Serverless 224

Serverless Azure Hardware Transportation 224

Dynatrace

JUNE 1, 2023

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Latency 185

Latency Website Traffic Virtualization 185

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. SRE applies software engineering principles to operations and infrastructure processes. Indeed, the pressure to digitally transform is increasing. What is DevOps?

DevOps 207

DevOps Best Practices Innovation Strategy 207

Dynatrace

FEBRUARY 24, 2021

DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is not a specific process, but rather a general collection of flexible software creation and delivery practices that looks to close the gap between software development and IT operations. Efficiency.

DevOps 193

DevOps Software Engineering Speed Google 193

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. But it is also about process automation. For the latest news from Perform, check out our “ Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI.”

Artificial Intelligence 203

Artificial Intelligence Analytics Cloud Innovation 203

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. Container orchestration is a process that automates the deployment and management of containerized applications and services at scale.

Infrastructure 195

Infrastructure Open Source Operating System Cloud 195

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. Getting security right in a multi-cloud setup means doing a few key things.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

SEPTEMBER 28, 2021

Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. Let’s start with the four most common metrics Google’s DevOps Research and Assessment (DORA) team established known as “ The Four Keys.” Deployment frequency measures both long-term and short-term efficiency.

DevOps 209

DevOps Metrics Traffic Efficiency 209

O'Reilly

APRIL 23, 2024

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? That’s exactly what Google, Amazon, and Meta are doing today. They start to collect robber baron rents.

Social Media 106

Social Media Google Internet Internet 106

Dynatrace

JUNE 1, 2023

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

JULY 7, 2022

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. With monolithic architecture, components all coexist in a single deployment. Serverless platforms.

Architecture 209

Architecture Serverless Azure Programming 209

CSS - Tricks

MARCH 16, 2020

to run Google Lighthouse audits via the command line, save the reports they generate in JSON format and then compare them so web performance can be monitored as the website grows and develops. I’m hopeful this can serve as a good introduction for any developer interested in learning about how to work with Google Lighthouse programmatically.

Google 82

Google Latency Website Metrics 82

The Netflix TechBlog

JULY 26, 2021

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. Centralized data will be moved to third party services such as Google Sheets and Airtable for the stakeholders.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243