Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. How can we optimize for performance and scalability? Does a certain issue impact a specific service?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 205

Cloud Lambda AWS Analytics 205

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Dynatrace news. This is great!

Analytics 189

Analytics Systems DevOps Healthcare 189

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JULY 11, 2023

Captures metrics, traces, logs, and other telemetry data in context. Smartscape topology mapping: Dynatrace uses its Smartscape technology to semantically map metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services.

Architecture 171

Architecture Availability Infrastructure Metrics 171

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Enterprise-grade observability for custom OpenTelemetry metrics from AWS. Dynatrace news.

AWS 178

AWS Metrics Analytics Government 178

Dynatrace

FEBRUARY 1, 2024

They offer unmatched flexibility and scalability to meet the fluctuating demands of the market. Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment. Metrics charts are available for each selected resource.

Cloud 207

Cloud Strategy Metrics Government 207

Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Messages overview Monitor disks and disk pool utilization One of the most important functions of your mainframe infrastructure is reading and writing data at high speeds while making it readily available.

Monitoring 237

Monitoring Infrastructure Metrics Analytics 237

Dynatrace

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 263

Artificial Intelligence Analytics Metrics Storage 263

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. From the beginning, Grail was built to be fast and scalable to manage massive volumes of data.

Artificial Intelligence 270

Artificial Intelligence Analytics Storage Architecture 270

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. Platform engineering best practices for delivering a highly available, secure, and resilient Internal Development Platform: Centralize and standardize.

Engineering 276

Engineering DevOps Best Practices Infrastructure 276

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 201

AWS Cloud Lambda Analytics 201

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. You can now install OneAgent on Linux with s390 architecture.

Operating System 207

Operating System Energy Infrastructure Architecture 207

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. What is a Lambda serverless function?

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 256

Open Source Metrics Analytics Tuning 256

Dynatrace

DECEMBER 11, 2023

It’s open source, allows for great scalability with the possibility to run workloads on the cloud and on-premises Kubernetes clusters, and is easily extensible via plugins. At Dynatrace, we measure the DORA metrics from Google. The first DORA metric is rather easy; we simply look at the throughput of the main branch.

Open Source 189

Open Source Analytics Metrics Cloud 189

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. Comparing log monitoring, log analytics, and log management.

Systems 187

Systems Cloud Analytics DevOps 187

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. After being available in an Early Adopter Release, we’re happy to announce that AWS supporting services are now Generally Available (GA). Get up to 300 new AWS metrics out of the box.

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. After being available in an Early Adopter Release, we’re happy to announce that AWS supporting services are now Generally Available (GA). Get up to 300 new AWS metrics out of the box.

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Simplify error analytics. Built for enterprise scalability. Users can take advantage of the platform features immediately.

Lambda 227

Lambda AWS Serverless Latency 227

Dynatrace

NOVEMBER 17, 2020

The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments. Technical scalability without limits.

Analytics 157

Analytics Technology Technology Cloud 157

The Netflix TechBlog

JUNE 7, 2021

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

FEBRUARY 16, 2023

With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. You have to get automation and analytical capabilities.” We start with data types—logs, metrics, traces, routes. The benefits of the cloud are undeniable.

Artificial Intelligence 196

Artificial Intelligence Analytics Cloud Innovation 196

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. The short answer: The three pillars of observability—logs, metrics, and traces—concentrated in a data lakehouse.

AWS 211

AWS Artificial Intelligence Analytics Cloud 211

Dynatrace

FEBRUARY 15, 2023

It provides automatic scalability, runtime application security, secure connections and integrations across hybrid and multicloud ecosystems, and full lifecycle support, including security and quality certifications. AppEngine uses this data and simplifies intelligent app creation and integrations for teams throughout an organization.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

FEBRUARY 15, 2023

Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability. App developers have the same limitless possibilities for creating customized analytics and integrations in any IT environment, whether in the cloud or on-premises.

Government 166

Government Serverless Analytics Metrics 166

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 223

Monitoring Metrics DevOps Scalability 223

Dynatrace

DECEMBER 16, 2022

Don’t put resources into building a platform that is available off the shelf. AI-powered precise answers and timely insights with ad-hoc analytics. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run. This goes with the notion that businesses should invest in building true differentiators.

Innovation 199

Innovation Software Software Cloud 199

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

SEPTEMBER 10, 2020

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. The good news is that it’s easy—as a Dynatrace customer—to include your business goals and metrics on your Dynatrace dashboards.

Retail 133

Retail Analytics Metrics Mobile 133

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire A single pane of glass to view trace information along with AWS CloudWatch metrics. See your AWS serverless workloads in full context with customer experience and business outcome metrics. extension provides insights into traces and metrics from each monitored Lambda function.

Lambda 211

Lambda Serverless AWS Mobile 211

Percona

MARCH 17, 2023

But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 103

Monitoring Scalability Cache Database 103

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. In production, containers are easy to replicate.

Open Source 304

Open Source Traffic DevOps Cloud 304

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Procella achieves high scalability and efficiency by segregating storage (in Colossus) from compute (on Borg).

Analytics 75

Analytics Latency Cache Google 75