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. This second solution picks up at data collection, aggregation, and analysis, preparing it for execution. Deterministic AI.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency.

Strategy 229

Strategy Innovation Cloud Serverless 229

Dynatrace

NOVEMBER 2, 2020

If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Simply put, infrastructure monitoring is the oxygen to your infrastructure, collecting all the data for a complete picture of availability, performance, and resource efficiency. Let’s look at the world today.

Infrastructure 206

Infrastructure Monitoring Virtualization Serverless 206

Dynatrace

NOVEMBER 2, 2020

Now, organizations are evolving their cloud strategy to include hybrid, multi-cloud, which enables cloud-native application development and deployment. development with containers and Kubernetes, serverless, and more. Davis understands the dependencies between Azure services and can provide precise root-cause analysis.

Azure 252

Azure Serverless Innovation Cloud 252

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 2: Instrument compute and serverless cloud technologies. It only costs about $.01 01 for every 1,000 metrics.

Cloud 173

Cloud Lambda Serverless AWS 173

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. AI-powered root cause analysis and contextual information for even faster MTTR.

Google 226

Google Cloud Serverless Innovation 226

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

O'Reilly

MAY 19, 2020

Oddly, about 3% of non-adopters cited cost as a primary reason not to move workloads to cloud; cost-efficiency is usually touted as one of cloud’s most attractive features. In other words, comparatively few respondent organizations appear to be pursuing dedicated multi-cloud strategies. Serverless Stagnant.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. They can also more easily recover from failures and gain a more granular understanding of the user experience.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Netflix TechBlog

NOVEMBER 2, 2021

There is an external-facing API layer (Optimus), a rule-based video quality workflow layer (Plato) and a serverless compute layer (Stratum). Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. Each layer is built on top of a corresponding scale-aware Cosmos subsystem.

Media 171

Media Innovation Metrics Latency 171

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

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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