Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says.

Analytics 191

Analytics Innovation Metrics Database 191

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 193

Analytics Artificial Intelligence Big Data Open Source 193

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. This is great! – DevOps Engineer, large healthcare company.

Analytics 192

Analytics Systems DevOps Healthcare 192

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 188

Infrastructure Availability Systems Retail 188

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. Why is it important, and what can it actually help organizations achieve? What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Dynatrace Grail enables IT pros to ingest logs, metrics, traces, and other data so they can get a full picture of the events taking place in their hybrid cloud environments.

Analytics 130

Analytics Storage Cloud DevOps 130

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. Grail architectural basics. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation.

Metrics 184

Metrics Analytics Software Architecture Open Source 184

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. While ingestion of OpenTelemetry traces and metrics into Dynatrace is supported, companies often prefer to collect logs in the OpenTelemetry format.

Open Source 220

Open Source Analytics Metrics Cloud 220

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. That’s where causal AI can help.

Government 205

Government Analytics Benchmarking Storage 205

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

APRIL 17, 2024

With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers. You can now install OneAgent on Linux with s390 architecture. Next, set up log ingest.

Operating System 211

Operating System Energy Infrastructure Architecture 211

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 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

MARCH 6, 2024

The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events. Intelligent monitoring is also crucial.

Engineering 246

Engineering Development DevOps Infrastructure 246

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. Notebooks and dashboards enable users, including developers, to create data-driven documents for custom analytics.

Java 194

Java Analytics Best Practices Monitoring 194

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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 159

Analytics Technology Technology Cloud 159

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 204

AWS Cloud Lambda Analytics 204

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. They are required to understand the full story of what happened in a system.

Cloud 261

Cloud Azure Analytics AWS 261

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

JANUARY 4, 2024

Great news: OpenTelemetry endpoint detection, analyzing OpenTelemetry services, and visualizing Istio service mesh metrics just got easier. As a CNCF open source incubating project, OpenTelemetry provides a standardized set of APIs, libraries, agents, instrumentation, and specifications for logging, metrics, and tracing.

Metrics 171

Metrics Open Source Tuning Infrastructure 171

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. Enrich database performance KPIs with business analytics. There’s no need to manually configure necessary metrics or build dashboards.

Database 243

Database DevOps Analytics Servers 243

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 209

Cache Azure Infrastructure Monitoring 209

All Things Distributed

NOVEMBER 15, 2016

Today, I am very happy to announce that QuickSight is now generally available in the N. Put simply, data is not always readily available and accessible to organizational end users. The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old.

Analytics 152

Analytics Availability Media Social Media 152

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. 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

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., We also couldn’t compromise on performance and availability.” shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure.

Cloud 176

Cloud Ecommerce Performance Retail 176

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. The short answer: The three pillars of observability—logs, metrics, and traces—concentrated in a data lakehouse. What is predictive AI?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Reliability.

Software 269

Software Software Benchmarking Latency 269

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. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Incomplete.

Analytics 190

Analytics Java Infrastructure Cloud 190

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. Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

NOVEMBER 28, 2022

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying OS, infrastructure, and services. Simplify error analytics. Understand and optimize your architecture.

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. We start with data types—logs, metrics, traces, routes. Throw in behavioral analytics, metadata, and real-user data. …

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

Dynatrace

NOVEMBER 15, 2021

Organizations are constantly being measured against the best available digital experiences — coming from Google, Amazon, Facebook, and other industry leaders. Some of the factors that affect user experience include: Availability : Is the touchpoint available when the user wants to use it? No constraints in form input fields.

Mobile 222

Mobile Social Media Monitoring Metrics 222

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. Distributed architectures create another challenge for governments and public-sector organizations. A lack of visibility into cloud environments .

Government 147

Government Analytics Cloud Storage 147

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130