Dynatrace

JULY 16, 2021

This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.

DevOps 243

DevOps Open Source Cloud Azure 243

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.

Azure 218

Azure Cloud Metrics Innovation 218

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 160

Monitoring Latency Metrics Azure 160

Dynatrace

APRIL 15, 2022

But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” Development teams can innovate faster with higher quality.

Cloud 171

Cloud Infrastructure Innovation Monitoring 171

Dynatrace

JULY 30, 2021

With all the technology changes through the past three years, with the world moving to K8s, the rise of GitOps, everything as code, event-driven automation, and many new open standards in the cloud-native space, it was time to update our workshop. Last week we kicked it off with a three-hour virtual hands-on workshop.

Cloud 212

Cloud DevOps Azure Virtualization 212

Percona

APRIL 12, 2023

Let’s start with this: MongoDB is accurately referred to as source-available software. Early years: Fueled by innovation and community-mindedness Initially, the lines weren’t so blurred, and certainly, they weren’t muddied. looking out for MongoDB Inc.

Open Source 81

Open Source Programming Database Servers 81

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. For re:Invent 2021 my team (but mostly Elise Greve) persuaded the re:Invent organizers to include Sustainability as a track code, and that was repeated for 2022 and now for 2023. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JUNE 8, 2022

More than 95% of Fortune 500 companies use Microsoft Azure. Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications.

Azure 177

Azure Performance Infrastructure Cloud 177

Dynatrace

JUNE 8, 2022

Dynatrace has enhanced its partnership with Microsoft Azure, providing users a quick and easy path to purchasing, configuring, and managing Dynatrace directly inside the Microsoft Azure Portal. Dynatrace is excited to announce this enhancement is now in public preview for any Azure customer to evaluate. Dynatrace news.

Azure 232

Azure Cloud Virtualization Innovation 232

Dynatrace

MAY 19, 2021

Beyond its high availability, Kubernetes supports hybrid-infrastructure, allowing these teams to run their workloads on different Kubernetes environments across a variety of clouds and on-premises infrastructure. The post Accelerating innovation with Kubernetes and Dynatrace appeared first on Dynatrace blog. More about Kubernetes.

Innovation 232

Innovation Azure Infrastructure Cloud 232

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

Serverless 232

Serverless Azure Monitoring Lambda 232

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

Serverless 140

Serverless Azure Monitoring Lambda 140

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. With up-to-date information for all ventilators immediately at hand, analysts can ask questions like: “Where are all the available ventilators at this moment?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. With up-to-date information for all ventilators immediately at hand, analysts can ask questions like: “Where are all the available ventilators at this moment?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Configuration as code is easy to use, update, and understand. Organizations get end-to-end observability from code to production with the right data in context.

Engineering 176

Engineering Development Infrastructure Cloud 176

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google 215

Google Cloud Serverless Azure 215

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. These tools integrate tightly with code repositories (such as GitHub) and continuous integration and continuous delivery (CI/CD) pipeline tools (such as Jenkins). But first, some background. Why containers? Here are some examples.

Open Source 295

Open Source Traffic DevOps Cloud 295

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Accelerated innovation. An efficient, automated log monitoring and analytics solution can free teams up to focus on innovation that drives better business outcomes.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Kiosks, mobile apps, websites, and QR codes. Imagine you’re in a war room. So, what happens next?

Cloud 156

Cloud Monitoring Latency Games 156

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. Google Cloud Platform (GCP) Anthos : Users can run applications on-premises, in GCP, or with other major public cloud providers like AWS and Microsoft Azure. Dynatrace news.

Infrastructure 176

Infrastructure Cloud Azure AWS 176

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 153

Analytics Technology Technology Cloud 153

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Just as the code is monolithic, so is the logging. At any given time, the state of your application is undergoing rapid, automated changes in response to the environment.

Cloud 220

Cloud Serverless Hardware Operating System 220

O'Reilly

FEBRUARY 18, 2020

Interest in cloud service provider platforms mirrors that of the industry as a whole: Amazon and AWS-related usage increased by 14%, year-over-year; Azure usage, on the other hand, grew at a speedier 29% clip, while Google Compute Platform (GCP) surged by 39%. They’re each sites of ceaseless innovation.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Scalegrid

APRIL 5, 2024

It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance. Sharding in Redis involves dividing data across multiple machines to enhance scalability and maintain availability. What is Redis Sharding?

Scalability 130

Scalability Efficiency Java Database 130

Dynatrace

OCTOBER 1, 2021

An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 30, 2023

With a unified log management and analytics platform like Dynatrace, application teams gain a holistic view of distributed traces, user sessions, code-level visibility, and logs—all within the context of the error or security vulnerability they aim to resolve. Limit the scanned data Dealing with a large influx of log data?

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

Dynatrace

APRIL 30, 2019

You can read my blog supporting my session titled “ Performance as Code: Lets make it a Standard ” on the Neotys PAC blog. A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool. Bamboo, Azure DevOps, AWS CodePipeline …. Pitometer is a Node.js

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

APRIL 22, 2022

With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes. Additionally, PurePath provides distributed tracing with code-level detail at scale with contextual data. “We were early adopters of OneAgent Lambda monitoring.

Cloud 163

Cloud Lambda Serverless AWS 163

O'Reilly

NOVEMBER 28, 2023

A year after the first web servers became available, how many companies had websites or were experimenting with building them? The higher percentage of users that are experimenting may reflect OpenAI’s addition of Advanced Data Analysis (formerly Code Interpreter) to ChatGPT’s repertoire of beta features.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Dynatrace

MAY 31, 2021

Cloud-native refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure-as-code. The Kube-scheduler schedules the pods, allocating available resources based on the CPU and memory requirements of each node. Resource optimization.

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Increased time spent on innovation. Better user experiences. Increasing revenue.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Tasktop

APRIL 29, 2020

While DevOps applies lean manufacturing principles—through automating repeatable output to improve the deployment lead time from code commit to production—the work upstream is an entirely different ball game. And unlike an assembly line, there are myriad tools available to do the same type of IT work. One Stack to Rule Them All?

DevOps 69

DevOps Azure Network Efficiency 69

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. For those with applications already built on MySQL or PostgreSQL, migrating to Aurora is a straightforward process requiring minimal code changes, as it supports the same protocols, tools, and drivers.

AWS 52

AWS Database Serverless Storage 52