Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. Step 1: Automate AWS metrics ingestion with Dynatrace. 01 for every 1,000 metrics. It only costs about $.01

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Dynatrace news.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. which shows your operational efficiency in your software delivery pipeline.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. To address these types of challenges, organizations typically introduce third-party libraries and frameworks like Hazelcast IMDG.

Java 233

Java Traffic Strategy Architecture 233

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. As a developer, you might use Google Cloud Function for serverless components. Dynatrace news. We know that your environment may contain many different cloud services.

Google 220

Google Cloud Serverless Innovation 220

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The deviating metric is response time. The goal of AIOps is to automate operations across the enterprise. This is now the starting node in the tree.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

JUNE 8, 2022

Observability means how well you can understand what is happening in a system by collecting metrics, logs, and traces. By using Cloud Adoption Framework best practices, organizations are better able to align their business and technical strategies to ensure success. Let’s dive into what Azure observability means and why it matters.

Azure 183

Azure Performance Infrastructure Cloud 183

Dynatrace

NOVEMBER 2, 2020

Contextual information: Go beyond metrics, logs, and traces with UX and topology data to understand billions of interdependencies. Cloud-native architectures: Support for containers and serverless, including open standard like OpenTelementary, Prometheus, StatsD and Telegraf. It’s not hype, it’s the way forward.

Infrastructure 200

Infrastructure Monitoring Virtualization Serverless 200

Dynatrace

DECEMBER 24, 2020

Meanwhile, business metrics tie everything together with KPIs that automatically connect digital performance with business outcomes. DevOps can view the health of all systems with greater clarity and gain a window into the user experience. The post 5 myths about observability appeared first on Dynatrace blog.

DevOps 244

DevOps Infrastructure Cloud Monitoring 244

Dynatrace

JUNE 13, 2022

Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards. However, these technologies can increase complexity.

Open Source 221

Open Source DevOps Java Innovation 221

Dynatrace

APRIL 8, 2019

As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. More than just metrics. The short way home. Supported services.

Azure 103

Azure Monitoring Serverless Virtualization 103

The Netflix TechBlog

SEPTEMBER 8, 2020

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this.

Latency 233

Latency Cache Java Traffic 233

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 74

Performance Cache Traffic Metrics 74

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 52

AWS Energy IoT Best Practices 52

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. Log4Shell highlights the need for secure digital transformation with observability, vulnerability management – blog The Log4Shell vulnerability highlighted the importance of developing a secure digital transformation strategy.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Percona

JULY 1, 2023

Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy. It’s Aurora Serverless. Percona Monitoring and Management (PMM) can also be used to gather metrics. Download Now What is Amazon Aurora?

AWS 52

AWS Database Serverless Storage 52

Smashing Magazine

MARCH 19, 2021

But we can’t really say just yet whether it had any impact on the business metrics — well, we’ll need to wait for a big book release to see that. What Is Serverless? Strategies For Migrating To TypeScript. We did manage to resolve plenty of accessibility issues and layout issues on mobile just by removing floating labels.

Mobile 141

Mobile Design Cache Code 141

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