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 213

Google Cloud Serverless Innovation 213

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

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

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. Serverless can accelerate innovation (and introduce blind spots). However, while they provide significant benefits, serverless functions also pose several challenges.

Lambda 202

Lambda Serverless AWS Mobile 202

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 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

JANUARY 11, 2023

Cloud monitoring tools unify data from applications and dependent resources across distributed channels to achieve the following: better detect anomalies; perform root-cause analysis; and. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions.

Cloud 217

Cloud Monitoring Best Practices Infrastructure 217

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 242

Azure Serverless Innovation Cloud 242

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 163

Cloud Lambda Serverless AWS 163

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

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

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

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 75

Performance Cache Traffic Metrics 75

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