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. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

FEBRUARY 16, 2023

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. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

JANUARY 12, 2022

An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 183

Analytics Systems DevOps Healthcare 183

Dynatrace

APRIL 19, 2024

Automate disk resizing operations with Davis AI predictive analytics The Dynatrace Site Reliability Engineering (SRE) team was looking for a way to automatically adjust disk space for cloud volumes on a regular basis to avoid over- or under-provisioning them. Hyperscaler security events are ingested into Grail as BizEvents.

AWS 216

AWS Analytics Cloud Monitoring 216

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. That’s where causal AI can help. Causal AI is particularly effective in observability.

Government 197

Government Analytics Benchmarking Storage 197

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Having all data in context tremendously simplifies analytics and problem detection.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

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. Further, these resources support countless Kubernetes clusters and Java-based architectures. where an error occurred at the code level.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 258

Artificial Intelligence Analytics Metrics Storage 258

Dynatrace

JULY 11, 2023

This enables unified observability because logs are indispensable for troubleshooting apps, monitoring infrastructure, auditing or investigating security incidents, tracking business events, and many other use cases. Native support for OpenTelemetry (OTLP) logs also supports enterprises that have highly diverse technical architectures.

Open Source 211

Open Source Analytics Metrics Cloud 211

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. Architectural overview.

Java 185

Java Analytics Best Practices Monitoring 185

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 195

AWS Cloud Lambda Analytics 195

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Automated issue resolution. Break down data silos. Strengthen application security with a multipronged approach.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

FEBRUARY 26, 2024

The event focused on empowering and informing our valued partner ecosystems by providing updates on strategy, market opportunities, cloud modernization, and a wealth of crucial insights. Empowering partners for success During this year’s Partner Summit, Dynatrace hosted several key sessions for partners, including: Dynatrace on Dynatrace.

Artificial Intelligence 190

Artificial Intelligence IoT Programming Innovation 190

DZone

SEPTEMBER 14, 2023

For the need of real-time monitoring, threat tracing, and alerting, they require a log analytic system that can automatically collect, store, analyze, and visualize logs and event records. Such a gigantic log analysis system is part of their cybersecurity management.

Analytics 124

Analytics Storage Architecture Scalability 124

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. With auto-adaptive baselining in response to the specific requirements of your environment, Davis® only raises alerts for important events.

Database 239

Database DevOps Analytics Servers 239

Dynatrace

MAY 19, 2023

Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. It’s more complex than it sounds.” As cloud entities multiply, along with greater reliance on microservices and serverless architectures, so do the complex relationships and dependencies among them.

Network 212

Network Monitoring Performance Traffic 212

Dynatrace

AUGUST 21, 2023

Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution. Dynatrace Log Management and Analytics provides a unified and comprehensive log management solution. during 2021–2026.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

Dynatrace

MARCH 6, 2024

Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making. It lets us see events such as starts and traces in a standardized manner.”

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. Check out the guide from last year’s event. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. We’ll post news here as it happens!

Efficiency 272

Efficiency Performance Analytics DevOps 272

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. a cancel event for a missed signup would have had no effect).

Data Engineering 264

Data Engineering Engineering Processing Games 264

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. Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Therefore, causal AI is a useful deterministic AI technique that provides concrete answers about the source of events, not probabilistic outputs.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

The Netflix TechBlog

JUNE 7, 2021

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. Flow Collector consumes two data streams, the IP address change events from Sonar via Kafka and eBPF flow log data from the Flow Exporter sidecars. What is BPF?

Network 325

Network Transportation AWS Cloud 325

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

APRIL 13, 2023

Log auditing is a cybersecurity practice that involves examining logs generated by various applications, computer systems, and network devices to identify and analyze security-related events. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes.

Analytics 182

Analytics Java Infrastructure Cloud 182

Dynatrace

APRIL 7, 2023

Triggering the Lambda function is event-driven and could include changes in state or an update to a file. The event stream will contain two characteristics: a PayloadChunk that carries the streamed data to the client and the InvokeComplete when the function has completed sending the data. What is Lambda Response Streaming?

Lambda 212

Lambda AWS Serverless Latency 212

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 176

Metrics Analytics Software Architecture Open Source 176

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

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. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news.

Serverless 234

Serverless Azure Monitoring Lambda 234