Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Additionally, typical SOA models use larger relational databases. Serverless platforms. API gateways.

Architecture 199

Architecture Serverless Azure Programming 199

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The observability problem of the serverless approach. Dynatrace news.

Azure 137

Azure Serverless IoT Lambda 137

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 221

Google Cloud Serverless Azure 221

Dynatrace

APRIL 20, 2023

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Grail enables 100% precision insights into all stored data.

Analytics 186

Analytics Infrastructure Storage Efficiency 186

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Dynatrace

NOVEMBER 18, 2021

Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. Automatically connect logs and distributed traces at scale.

Analytics 223

Analytics Cloud Java Serverless 223

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 177

Artificial Intelligence Metrics Architecture DevOps 177

Dynatrace

FEBRUARY 15, 2023

Consider a simple interactive app that helps convey the business impact of new product enhancements by combining IT Ops metrics with business data—or an app that not only calculates the costs of your cloud usage but also automatically optimizes it by leveraging the power of Davis , our causational AI, and the new Dynatrace AutomationEngine.

Government 163

Government Serverless Analytics Metrics 163

The Symphonia

DECEMBER 6, 2017

the Functions-as-a-Service (FaaS) platform which is the core of AWS’ larger Serverless service suite. Traffic shaping / canary deployment was pre-announced at Serverless Conf NYC in October, and this is now available. out-of-the-box metric?—?‘concurrent Let’s dig in! It’s no longer a niche technology for enthusiasts?—?it’s

Serverless 40

Serverless Lambda AWS Traffic 40

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. Contextual information: Go beyond metrics, logs, and traces with UX and topology data to understand billions of interdependencies. Dynatrace news.

Infrastructure 199

Infrastructure Monitoring Virtualization Serverless 199

Dynatrace

NOVEMBER 10, 2022

Containers are portable, self-contained operating environments that include applications and the dependencies they need to run, such as databases, middleware, and frameworks. Teams can capture and analyze metrics, logs, traces, and user-experience data in the context of dependencies among services and infrastructure. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

The Symphonia

MARCH 14, 2018

the Serverless Application Repository (SAR)?—?at The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Thanks to @ 3Nimbus / [link] What is the Serverless Application Repository? Enter the Serverless Application Repository.

Serverless 40

Serverless AWS Lambda Open Source 40

Dynatrace

MAY 9, 2022

In Figure 7, we can pick the service from the service flow, look at the metrics, and then compare the performance changes in a single, built-in Dynatrace feature. Often, customers want to compare every component in the full stack, including front-end user experience metrics and infrastructure performance metrics.

Strategy 197

Strategy Cloud Infrastructure Java 197

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. There is an external-facing API layer (Optimus), a rule-based video quality workflow layer (Plato) and a serverless compute layer (Stratum). All three requested quality metrics will be calculated for each chunk. 4c & 5.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 187

Azure Monitoring Virtualization Metrics 187

The Morning Paper

FEBRUARY 6, 2020

Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ Cloudburst monitors request and service rates (storing metrics in Anna). arXiv 2020.

Lambda 98

Lambda Serverless Cache Latency 98

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. Meanwhile, traditional databases have demonstrated limitations in increasingly complex and distributed cloud-native environments. Only 27% of those CIOs say their teams fully adhere to a DevOps culture.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

JANUARY 8, 2020

Just displaying a bunch of metrics on dashboards doesn’t help you solve problems – it overwhelms you with alerts and data. When you deploy infrastructure monitoring tools that are primarily metric aggregators like Datadog or New Relic, you must know everything about your environment and what you want to monitor up-front.

Infrastructure 150

Infrastructure Cloud Monitoring Metrics 150

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 40

Database Tuning Performance AWS 40

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Dynatrace news. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

NOVEMBER 26, 2023

In this session, learn how to build automated, serverless AWS architectures to upload, extract, process, verify, and validate supply chain documents, accelerating end-to-end supply chain transparency. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Smashing Magazine

AUGUST 3, 2023

Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Developers really have flocked to using this serverless programming technology to build event driven services. With Amazon ML there is no setup cost and you pay as you go, so you can start small and scale as your application grows.

Lambda 122

Lambda Cloud IoT AWS 122

Smashing Magazine

NOVEMBER 30, 2021

It’s the reason why I was able to become a developer, but every time someone visits a WordPress site out of the box, it has to make a call to a database, grabs some content, mash it into some templates, generate HTML and ship that back to the browser. I built my career on WordPress. So it’s still a house of cards.

Technology 94

Technology Technology Servers Code 94