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. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 227

Google Cloud Serverless Azure 227

Dynatrace

OCTOBER 15, 2021

These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. In fact, these technologies have become so prevalent that anybody who may not know the full scope of the topic may be afraid to ask.

Open Source 224

Open Source Metrics Cloud Transportation 224

Dynatrace

NOVEMBER 9, 2023

Often, organizations resort to using separate tools for different parts of their technology stack. Imagine this scenario: your application frontend is hosted in a public cloud Platform-as-a-Service (PaaS), while the backend operates within a Nutanix cluster. With Dynatrace, Nutanix metrics can be leveraged for various use cases.

Virtualization 198

Virtualization Storage Metrics Monitoring 198

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 189

DevOps Analytics Storage Metrics 189

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. Containerized microservices have made it easier for organizations to create and deploy applications across multiple cloud environments without worrying about functional conflicts or software incompatibilities.

Open Source 198

Open Source Storage Analytics Innovation 198

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

FEBRUARY 2, 2022

Dynatrace SaaS availability on Azure helps the world’s largest organizations achieve this through enabling faster cloud adoption and more effective digital transformation. This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation.

Azure 322

Azure Availability Hardware Innovation 322

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. What problem are we solving? We have one file?—?the

Media 214

Media Storage Processing Cache 214

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. Limited data availability constrains value creation.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Kubernetes moved to the cloud in 2022. Java, Go, and Node.js

Open Source 347

Open Source Java Operating System Programming 347

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes).

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

JANUARY 8, 2020

Anyone moving to the cloud knows that it isn’t just a change from running servers in your data center to running them in someone else’s data center. If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. Dynatrace news. What happens next is pure magic.

Infrastructure 153

Infrastructure Cloud Monitoring Metrics 153

The Netflix TechBlog

MARCH 12, 2021

In this post, we will share a behind-the-scenes look at how Netflix delivers technology and infrastructure to help production crews create and exchange media during production and post production stages. Technology empowering Netflix productions today! Lights, Camera, Media! Workflows are louder than words.

Media 174

Media Cloud Logistics Technology 174

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. The only way to address these challenges is through observability data — logs, metrics, and traces. Your key business objectives will drive your strategy and metrics. But it doesn’t stop there.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. However, turning those logs into meaningful insights requires a data lakehouse.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

DECEMBER 16, 2022

Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption.

Innovation 202

Innovation Software Software Cloud 202

Dynatrace

NOVEMBER 4, 2022

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. .

Government 147

Government Analytics Cloud Storage 147

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

SEPTEMBER 15, 2020

As an Amazon Web Services (AWS) Advanced Technology Partner, Dynatrace easily integrates with AWS to help you stay on top of the dynamics of your enterprise cloud environment?. There are two important use cases for AWS Outposts: As a step in your AWS cloud migration journey, or. Dynatrace news.

AWS 205

AWS Design Storage Cloud 205

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. This is a crucial factor for all data centers, cloud or managed, where power consumption and cooling costs are reflected in the total cost of ownership.

Efficiency 271

Efficiency Architecture Energy Monitoring 271

Dynatrace

SEPTEMBER 7, 2022

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost.

Traffic 221

Traffic AWS Network Cloud 221

Dynatrace

NOVEMBER 22, 2021

These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. AWS: A service for everything.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

Dynatrace

NOVEMBER 29, 2021

Red Hat OpenShift is a cloud-based Kubernetes platform that helps developers build applications. It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Dynatrace news. What is OpenShift? The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 213

Artificial Intelligence Healthcare Retail Government 213

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 183

Artificial Intelligence Metrics Architecture DevOps 183

Dynatrace

JANUARY 11, 2023

In the process, they’re adopting more tools and technologies. These technologies generate a crush of observability data. Teams derive business metrics from many sources. High storage costs. The exploding scale of IT data in modern cloud environments can quickly become costly to store. Search constraints.

Analytics 194

Analytics Strategy Storage Technology 194

Dynatrace

FEBRUARY 12, 2024

In fact, according to recent Dynatrace research, 85% of technology leaders say the number of tools, platforms, dashboards, and applications they use adds to the complexity of managing a multicloud environment. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said.

Analytics 186

Analytics Artificial Intelligence Engineering Storage 186

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively. Here are some examples: IT infrastructure and operations.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace.

Analytics 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

AUGUST 21, 2023

As organizations grow, cloud application environments create complexity that makes managing and analyzing log data difficult. They need to automate manual tasks, streamline processes, and invest in new technologies. Cloud-based log management technologies reduce total cost of ownership. Reduce costs and inefficiencies.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214