Dynatrace

NOVEMBER 3, 2023

are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Extensions 2.0

Technology 251

Technology Technology Scalability Availability 251

Dynatrace

NOVEMBER 24, 2021

The success of an organization often depends on the quality of the on-premises or physical IT infrastructure, among other things. Constantly monitoring infrastructure health state and making ongoing optimizations are essential for Ops teams, SREs (site-reliability engineers), and IT admins. Dynatrace news. ” What’s next.

Network 216

Network Infrastructure Virtualization Metrics 216

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. Monitoring your i nfrastructure.

Analytics 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

NOVEMBER 22, 2021

Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

SEPTEMBER 22, 2021

Organizations often start their APM journey by implementing APM tools which are typically designed to look at one specific aspect of application performance. Organizations can also optimize their infrastructure usage, achieving a better return on their technology spend. What’s the difference between APM tools and an APM platform?

Innovation 210

Innovation Open Source Monitoring Infrastructure 210

Dynatrace

OCTOBER 25, 2022

Mike Gualtieri of Forrester Research, who coined the term NoOps , once said in his blog post, “NoOps means that application developers will never have to speak with an operations professional again.”. DevOps requires infrastructure experts and software experts to work hand in hand. Introduction of AIOps. Evolution of modern AIOps.

DevOps 222

DevOps Big Data Cloud Innovation 222

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. It is critical for fast-paced product innovation at Netflix since CL provides foundational data for personalization, A/B experimentation, and performance analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

The Netflix TechBlog

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Finally, relevant abstractions allow media algorithm developers to focus on the manipulation of video and audio signals rather than on infrastructural concerns.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 170

Lambda AWS Serverless Infrastructure 170

All Things Distributed

NOVEMBER 15, 2016

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. Finally, their complex user experiences are designed for power users and not suitable for the fast-growing segment of business users.

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 8, 2021

.” In its 2021 Magic Quadrant™ for Application Performance Monitoring, Gartner® defines APM as “Software that enables the observation of application behavior and its infrastructure dependencies, users and business key performance indicators (KPIs) throughout the application’s life cycle. Application performance insights.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

The Netflix TechBlog

MARCH 10, 2023

In this blog, we will be focusing on how we utilize Elasticsearch for indexing and search the assets. This is the layer we’d like to focus on in this blog. And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. Net, Ruby, Perl etc.).

Strategy 258

Strategy Cache Analytics Storage 258

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 245

Cloud Serverless Innovation Architecture 245

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 255

Artificial Intelligence Serverless Analytics Innovation 255

Dynatrace

APRIL 8, 2021

Most organizations have a grab bag of monitoring tools, each designed for a specific use case. Some may monitor web apps, others might be more focused on infrastructure and Kubernetes, and there might even be a separate monitoring tool for native-mobile apps. Dynatrace supports GDPR compliance by design.

Mobile 170

Mobile Monitoring Analytics Google 170

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

DECEMBER 9, 2021

Many application security products were designed before the rise of DevSecOps, containers, Kubernetes, and multicloud environments and so can’t keep up with rapid changes in these environments. The post Dynatrace introduces automatic vulnerability management for PHP appeared first on Dynatrace blog. New to Dynatrace?

Social Media 192

Social Media Open Source Media Cloud 192

Dynatrace

APRIL 26, 2022

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. 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

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. T he Dynatrace Software Intelligence Platform includes multiple modules, underpinned by a common data model.

DevOps 248

DevOps Innovation Monitoring Analytics 248

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

JANUARY 19, 2022

Observability vs. monitoring: What’s the difference? – Blog. Modern approaches to observability and monitoring for multicloud environments – Blog. And why it needs a new approach – Blog. Vulnerability assessment: Protecting applications and infrastructure – Blog. What is DevOps?

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

Dynatrace

MAY 15, 2020

This is especially true when we consider the explosive growth of cloud and container environments, where containers are orchestrated and infrastructure is software defined, meaning even the simplest of environments move at speeds beyond manual control, and beyond the speed of legacy Security practices. And this poses a significant risk.

Government 231

Government DevOps Infrastructure Network 231

Dynatrace

SEPTEMBER 7, 2022

Dynatrace uses your data and its sophisticated AI causation engine, Davis® , to automatically detect performance anomalies in your applications, services, and infrastructure. Check out our Power Demo: Log Analytics with Dynatrace. The Dynatrace problem detection and analysis advantage. Learn more about VPC Flow Logs.

Traffic 221

Traffic AWS Network Cloud 221

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

JULY 24, 2023

In this blog, we will dive into the transformative power of answer-driven automation. Answer-driven DevOps automation goes beyond creating tickets and extends to executing workflows designed to extract ownership information and then route the ticket to the responsible teams. But it doesn’t stop there.

DevOps 225

DevOps Traffic Efficiency Servers 225

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. Stay tuned. Seeing is believing.

Open Source 258

Open Source Metrics Analytics Tuning 258

Dynatrace

AUGUST 27, 2020

Missing operational insights, lack of context, and limited understanding of cloud service dependencies making it almost impossible to find the root cause of customer-facing application issues or underlying infrastructure problems. AWS IoT Analytics. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune. Amazon GameLift.

AWS 272

AWS Cloud IoT Database 272

Dynatrace

JULY 5, 2022

Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights. However, 58% of IT leaders say infrastructure management drains resources as cloud use increases. Once products and services are live, IT teams must continuously monitor and manage them.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

The Morning Paper

JUNE 6, 2019

Towards federated learning at scale: system design Bonawitz et al., There’s a good high-level overview of federated learning on Google’s AI blog. The FL infrastructure generates versioned plans for each task. SysML 2019. This is a high level paper describing Google’s production system for federated learning. Federated Averaging.

Systems 71

Systems Design Google Servers 71

Dynatrace

NOVEMBER 15, 2021

There is nothing worse than your well-designed digital touchpoint simply falling offline. DEM helps teams understand the context of what’s going on amid the interactions happening across the multitude of apps, services, and infrastructure of your multicloud environment. appeared first on Dynatrace blog. Watch webinar now!

Mobile 222

Mobile Social Media Monitoring Metrics 222

Dynatrace

JUNE 1, 2020

There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring, and End User monitoring. User Experience and Business Analytics ery user journey and maximize business KPIs. Download Magic Quadrant.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

DECEMBER 2, 2021

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. An SLO designed for the workload requirements right now may not be equally valid for future performance requirements. Help with decision making.

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

The Netflix TechBlog

JANUARY 11, 2022

To directly support great decision-making throughout the company, there are a number of data science teams at Netflix that partner directly with Product Managers, engineering teams, and other business units to design, execute, and learn from experiments. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Conversely, if users encounter functional issues or poor UI design that frustrate common actions, replays provide clear evidence.

Mobile 251

Mobile Website Analytics Cache 251