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 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Event severity.

Analytics 204

Analytics Software Software Storage 204

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 199

Analytics Systems DevOps Healthcare 199

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 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

DECEMBER 3, 2024

By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics. By ingesting EventBridge events into the Dynatrace platform, customers can leverage AI-powered contextual insights to gain a deeper understanding of their cloud environments.

AWS 256

AWS Cloud Performance Innovation 256

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 198

Analytics Innovation Metrics Database 198

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 263

Cloud Azure Analytics Open Source 263

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 327

Network Transportation AWS Cloud 327

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 234

Analytics Storage Infrastructure Metrics 234

Dynatrace

DECEMBER 12, 2024

I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.

Analytics 214

Analytics Government Efficiency Innovation 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. 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 Cloud 363

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Because events in cloud-native environments take place instantaneously, and there is so much data to digest, IT and operations teams often can’t identify problems before customers experience them.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

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 212

Government Analytics Benchmarking Storage 212

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 245

Database DevOps Analytics Servers 245

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 233

AWS Analytics Cloud Monitoring 233

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 287

Efficiency Performance Analytics DevOps 287

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 270

Artificial Intelligence Metrics Analytics Storage 270

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 178

Architecture Availability Infrastructure Monitoring 178

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 227

Open Source Analytics Metrics Cloud 227

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 242

Serverless Azure Monitoring Lambda 242

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news. Deep-code execution details.

Java 245

Java Traffic Architecture Strategy 245

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 200

Analytics Infrastructure Storage Architecture 200

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 211

AWS Cloud Lambda Analytics 211

Dynatrace

OCTOBER 3, 2024

Trace your application Imagine a microservices architecture with hundreds of dependencies. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app. Interact with data intuitively and easily and benefit from immediate, AI-supported insights.

Performance 259

Performance Architecture Innovation Latency 259

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 227

Network Monitoring Performance Traffic 227

Dynatrace

JULY 24, 2024

As we did with IBM Power , 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 Z and LinuxONE architecture (s390x).

Availability 255

Availability Infrastructure Metrics Monitoring 255

Dynatrace

JULY 29, 2024

Security analysts are drowning, with 70% of security events left unexplored , crucial months or even years can pass before breaches are understood. After a security event, many organizations often don’t know for months—or even years—when, why, or how it happened. Discover more insights from the 2024 CISO Report.

Analytics 188

Analytics Government DevOps Efficiency 188

The Netflix TechBlog

OCTOBER 8, 2024

In previous blog posts, we introduced the Key-Value Data Abstraction Layer and the Data Gateway Platform , both of which are integral to Netflix’s data architecture. We do not use it for metrics, histograms, timers, or any such near-real time analytics use case. Those use cases are well served by the Netflix Atlas telemetry system.

Latency 242

Latency Storage Traffic Tuning 242

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Triggers are powerful mechanisms that react to events dynamically and in real time.

Database 159

Database Lambda AWS IoT 159

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. CDC events can also be sent to Data Mesh via a Java Client Producer Library. tactical) in nature.

Big Data 258

Big Data Government Processing Analytics 258

Dynatrace

NOVEMBER 25, 2024

By leveraging a power-of-three approach to AI and an efficient data lakehouse architecture, Dynatrace discovers and pinpoints problems automatically, enabling organizations to automate confidently and deliver better, more reliable services with AWS.

AWS 208

AWS Cloud Innovation Infrastructure 208

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 237

AWS Lambda Artificial Intelligence Serverless 237

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 273

Data Engineering Engineering Processing Games 273

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 202

Java Analytics Best Practices Monitoring 202

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 251

Engineering Development DevOps Infrastructure 251

High Scalability

JANUARY 11, 2022

Architecture. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. Sending and receiving messages from other users. High Level Design. Streaming Data Model.

Design 334

Design Media Storage Logistics 334