Azure, Google, Monitoring and Tuning - Technology Performance Pulse

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

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. Connect Dynatrace to your cloud-vendor to gather relevant infrastructure monitoring data, which gives you essential health insights.

Serverless

Serverless Lambda Azure AWS

Seamless AI-powered observability for multicloud serverless applications

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. 3 End-to-end distributed trace including Azure Functions. Stay tuned for updates. Dynatrace news. New to Dynatrace?

Serverless

Serverless Azure Lambda AWS

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. You’ll benefit from serverless computing when: Authenticating users (for example, Okta , Azure Active Directory ). Monitoring serverless applications.

Serverless

Serverless Efficiency Lambda Azure

Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud

Cloud Azure Analytics AWS

Kubernetes vs Docker: What’s the difference?

Dynatrace

SEPTEMBER 29, 2021

Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability.

Open Source

Open Source Traffic DevOps Cloud

Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

NOVEMBER 17, 2020

Methods include the observability capabilities of the platforms their applications run on; monitoring tools, OpenTelemetry, OpenTracing, OpenMonitor, OpenCensus, Jaeger, Zipkin, Log, CloudWatch, and more. Just one command instruments your entire application environment for monitoring. Automatic topology analysis.

Analytics

Analytics Technology Technology Cloud

PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types in Enterprise

Scalegrid

OCTOBER 7, 2019

of PostgreSQL cloud deployments were hosted through Google Cloud Platform (GCP), growing 11% from April where they only averaged 17.5% This leaves our last cloud provider – Microsoft Azure, who represented 3.2% of enterprise organizations are leveraging a monitoring tool to analyze and manage their PostgreSQL slow queries.

Strategy

Strategy Cloud Java Open Source

Monitoring Serverless Applications

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Monitoring.

Serverless

Serverless Monitoring Lambda Latency

What is cloud-native architecture? Set yourself up for cloud success

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Service mesh. Deployment can also be modular.

Cloud

Cloud Architecture Serverless Infrastructure

Plan Your Multi Cloud Strategy

Scalegrid

MARCH 22, 2024

They’re your roadmap to linking cloud moves with real business outcomes, helping you monitor progress. You manage cost optimization in a multi-cloud world by monitoring costs, using the right tools, and constantly adjusting. Setting up and tracking Key Performance Indicators (KPIs) is crucial.

Strategy

Strategy Cloud Government Innovation

Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speakers: Wafae Bakkali, Isha Dua

AWS

AWS Energy IoT Best Practices

Generative AI in the Enterprise

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?

Open Source

Open Source Artificial Intelligence Google Infrastructure

Measuring Carbon is Not Enough?—?Unintended Consequences

Adrian Cockcroft

NOVEMBER 13, 2023

CPUs consume power at idle, and due to various monitoring agents, operating daemons, application background task overhead etc. I’ve written before about how to tune out retry storms. For example if you run in the cloud provider regions near Montreal, Google reports that energy is 100% carbon free hydro powered, all the time.

Energy

Energy Cloud Traffic Transportation

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Google cloud.

Architecture

Architecture Cache Azure Storage

Technology Performance Pulse

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Seamless AI-powered observability for multicloud serverless applications

Trending Sources

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Kubernetes vs Docker: What’s the difference?

Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types in Enterprise

Monitoring Serverless Applications

What is cloud-native architecture? Set yourself up for cloud success

Plan Your Multi Cloud Strategy

Sustainability Talks and Updates from AWS re:Invent 2023

Generative AI in the Enterprise

Measuring Carbon is Not Enough?—?Unintended Consequences

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

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