Dynatrace

SEPTEMBER 15, 2023

In the 2023 Magic Quadrant for Application Performance Monitoring (APM) and Observability, Gartner has named Dynatrace a Leader and positioned it highest for Ability to Execute and furthest for Completeness of Vision. Although implementations are nascent, the security capabilities of APM and observability tools have proved to be valuable.

Monitoring 238

Monitoring Performance Analytics DevOps 238

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. AI-driven resource allocation not only enhances the overall performance of cloud services but also contributes to substantial cost savings. Moreover, AI plays a pivotal role in optimal resource allocation within cloud environments.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 180

Software Software Analytics Big Data 180

Dynatrace

JULY 11, 2023

Without such a holistic view of system behavior and performance, organizations typically need to invest in separate instrumentation and integration efforts for each telemetry type, which brings additional overhead, costs, and complexity. As an alternative, OpenTelemetry lets you extend Dynatrace technology coverage with log data.

Open Source 207

Open Source Analytics Metrics Cloud 207

Dynatrace

DECEMBER 4, 2023

AI model observability plays a crucial role in achieving this by addressing these key aspects: Model performance and reliability: Evaluating the model’s ability to provide accurate and timely responses, ensuring stability, and assessing domain-specific semantic accuracy. Maintained under the Apache 2.0

Open Source 251

Open Source Latency Metrics Java 251

Dynatrace

JULY 25, 2023

Davis AI transforms and augments data to enable more useful analysis, perform automatic tasks, and respond to user requests: Predictive AI uses machine learning (ML) and statistical methods to recommend future actions based on data from the past. It also guides users who want to observe new technologies or apply advanced configurations.

Best Practices 228

Best Practices Analytics Metrics Code 228

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Yet, most modern applications rely on proper database performance to provide users with a flawless user experience. Dynatrace news.

Database 237

Database DevOps Analytics Servers 237

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. It provides accurate real-time insights to ensure operational integrity and optimal performance to meet an organization’s service-level objectives (SLOs).

Infrastructure 175

Infrastructure Metrics Network Monitoring 175

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching.

Network 325

Network Transportation AWS Cloud 325

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

FEBRUARY 16, 2023

And it is making it more and more difficult for all of us to manage that wealth of data,” said Rick McConnell, CEO of Dynatrace, at the annual Perform conference in Las Vegas. “… We need automation and observability to drive and address that issue.” You have to get automation and analytical capabilities.”

Artificial Intelligence 186

Artificial Intelligence Analytics Cloud Innovation 186

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

MAY 24, 2021

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. It’s critical that you understand how they impact your customer-facing web applications, mobile apps, or APIs and how they interact with other functions, services, and classic technology stacks. Dynatrace news.

Lambda 292

Lambda AWS Serverless Java 292

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 252

Innovation Software Software Artificial Intelligence 252

Dynatrace

FEBRUARY 28, 2023

Integrating with Microsoft Sentinel adds security events to our Runtime Application Protection and provides additional data for investigation with our security analytics features using Dynatrace Query Language on Grail. Its core capabilities are the following: Runtime vulnerability analytics. Runtime application protection. Audit logs.

Analytics 147

Analytics Cloud Software Software 147

Dynatrace

JANUARY 31, 2024

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics.

Monitoring 196

Monitoring Social Media IoT Metrics 196

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. Leverage log analytics for additional context. Dynatrace news.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

DECEMBER 8, 2022

Modernizing public-sector technology while managing cyber-risk can be overwhelming. These new technologies deviate from legacy paradigms and are ephemeral, expanding the attack surface in ways traditional security measures cannot easily handle. But keeping citizens’ personal data safe is a top priority.

Education 193

Education Government Innovation Cloud 193

Dynatrace

APRIL 13, 2023

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. However, cloud-native technologies have introduced a level of complexity that make a logs-only approach to auditing and forensics limiting.

Analytics 178

Analytics Java Infrastructure Cloud 178

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. I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

DZone

JUNE 4, 2019

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. NVMe Storage Use Cases. There are several AI/ML focused use cases to highlight.

Storage 100

Storage FinTech Artificial Intelligence Performance 100

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 240

AWS Efficiency Azure Cloud 240

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 196

DevOps Metrics Engineering Analytics 196

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles.

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

Dynatrace

DECEMBER 16, 2022

Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. As organizations continue to operate in the cloud, open technologies become critical. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia.

Innovation 189

Innovation Software Software Cloud 189

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

Dynatrace

AUGUST 25, 2023

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. Generally, older technologies were not built to meet current expectations, are inefficient, difficult to maintain, and costlier to support long-term.

Government 196

Government Infrastructure Programming Cloud 196

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. Performance. So, what is ITOps? What is ITOps? What does IT operations do?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

OCTOBER 12, 2023

The best thing: the whole process is performed on read when the query is executed, which means you have full flexibility and don’t need to define a structure when ingesting data. >> It helps create patterns, provides instant feedback, and allows you to save and reuse DPL patterns, for faster access to data analytics use cases.

Speed 201

Speed AWS C++ Availability 201

Dynatrace

JULY 1, 2020

I bet you’re asking yourself – “Why should I as a technology person care about marketing?”, Below is a step-by-step guide on how to do so, but if you’d prefer to watch the steps check out my Performance Clinic here. The multi-dimensional analytics in the screenshot below is an example. Dynatrace news.

Traffic 264

Traffic Analytics Metrics Servers 264

Dynatrace

SEPTEMBER 30, 2021

As an AWS Advanced Technology Partner , this was a great opportunity for Dynatrace developers to sharpen their AWS skills and pursue or up-level their Amazon certifications. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills.

AWS 201

AWS Best Practices Analytics Cloud 201

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. With this announcement, Dynatrace brings the value of its AI engine, the scale, security, and automation of Dynatrace OneAgent and the scale of our platform (which can handle 50,000 hosts) to open source technologies so that you get the best of both worlds.

Open Source 250

Open Source Metrics Analytics Tuning 250

Dynatrace

NOVEMBER 28, 2022

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. Simplify error analytics. It also baselines the performance of an application under load, including response times, error rates, and behavior. What is Lambda SnapStart? Optimize timing hotspots.

Lambda 218

Lambda AWS Serverless Latency 218