Analytics, Azure, Database and DevOps - Technology Performance Pulse

What is Azure Functions?

Dynatrace

APRIL 5, 2021

What is Azure Functions? 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 growth of Azure cloud computing.

Azure

Azure Serverless IoT Lambda

How to solve the challenges of multicloud AWS, Azure and GCP observability

Dynatrace

APRIL 1, 2021

Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer.

Azure

Azure AWS DevOps Cloud

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure

Azure Cloud Big Data Virtualization

Automating Success: Building a better developer experience with platform engineering

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering

Engineering Development Infrastructure Cloud

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. Dynatrace news. Manually maintaining dependencies among components doesn’t scale.

Cloud

Cloud Azure Analytics AWS

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

Kubernetes vs Docker: What’s the difference?

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. In production, containers are easy to replicate.

Open Source

Open Source Traffic DevOps Cloud

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. Microservices. The principles of cloud-native architecture.

Cloud

Cloud Architecture Serverless Infrastructure

Release readiness through AI-based white box resiliency testing with JMeter and Dynatrace

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. Dynatrace news. I, Andreas Grabner, helped to bring the blog to life! The white box load testing project setup.

Testing

Testing Open Source Metrics Infrastructure

Top 13 Site Reliability Engineer (SRE) Tools

Dotcom-Montior

OCTOBER 19, 2021

Terraform, along with Ansible, which we will talk about more next, are two of the most used tools for a site reliability engineer and DevOps teams. Chef is another open-source configuration management tool that is more like Ansible or Puppet, another tool that is commonly used by SREs and DevOps teams. Monitoring & Analytics.

Engineering

Engineering Open Source Programming Monitoring

AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. Robert allowed me to take a couple of screenshots from their Dynatrace environment and with that, in this blog I try to explain how Dynatrace gives them MaaSS for Developers, Operators, DevOps as well as Business. 3 Log Analytics. Full-stack observability. End-to-end code-level tracing.

AWS

AWS Monitoring Ecommerce Lambda

What is APM?

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. User experience and business analytics. Improved infrastructure utilization. Increasing revenue.

Monitoring

Monitoring Mobile Social Media Artificial Intelligence

Top 13 Site Reliability Engineer (SRE) Tools

Dotcom-Montior

FEBRUARY 19, 2022

Terraform, along with Ansible, which we will talk about more next, are two of the most used tools for a site reliability engineer and DevOps teams. Chef is another open-source configuration management tool that is more like Ansible or Puppet, another tool that is commonly used by SREs and DevOps teams. Monitoring & Analytics.

Engineering

Engineering Open Source Programming Monitoring

Experience SQL Server 2017: Start your journey here

SQL Server According to Bob

OCTOBER 26, 2017

In-database Machine Learning in SQL Server 2017. SQL Server 2017: Fast, faster, and the fastest database everywhere you need it. Microsoft Data Platform – SQL Server 2017 and Azure Data Services. Graph extensions in Microsoft SQL Server 2017 and Azure SQL Database. DevOps: CI/CD with Microsoft SQL Server 2017.

Servers

Servers Azure Open Source Database

Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

MAY 28, 2020

If you have a distributed environment with multiple servers hosting your webservers, app servers, and database, I suggest you install the OneAgent on all these servers to get full end-to-end visibility. Kubernetes, OpenShift, Cloud Foundry or Azure Web Apps then install the OneAgent by following the OneAgent PaaS installation options.

Engineering

Engineering Performance Metrics Best Practices

How enterprises can successfully scale Agile development

Tasktop

JUNE 20, 2019

Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Tasktop unlocks lifecycle data from these application tool silos by automatically compiling modeled lifecycle activity data into a single database. Learn more.

Development

Development DevOps Google Innovation

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

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Cloud Platform.

Architecture

Architecture Cache Azure Storage

Technology Performance Pulse

What is Azure Functions?

How to solve the challenges of multicloud AWS, Azure and GCP observability

Trending Sources

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Automating Success: Building a better developer experience with platform engineering

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

Mastering Hybrid Cloud Strategy

Kubernetes vs Docker: What’s the difference?

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

Release readiness through AI-based white box resiliency testing with JMeter and Dynatrace

Top 13 Site Reliability Engineer (SRE) Tools

AWS EKS Monitoring as a Self-Service with Dynatrace

What is APM?

Top 13 Site Reliability Engineer (SRE) Tools

Experience SQL Server 2017: Start your journey here

Tutorial: Guide to automated SRE-driven performance engineering

How enterprises can successfully scale Agile development

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

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