Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 263

Architecture DevOps Monitoring Programming 263

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.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 246

Analytics Innovation Metrics Database 246

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

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Architecture 290

Architecture Efficiency Energy Monitoring 290

The Netflix TechBlog

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset.

Tuning 166

Tuning Latency Efficiency Storage 166

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 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Data management.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 306

Efficiency Performance Analytics DevOps 306

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 264

Analytics Storage Infrastructure Metrics 264

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 246

Software Software Analytics Big Data 246

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 312

Serverless Infrastructure Innovation DevOps 312

Dynatrace

JULY 2, 2024

Log collection platforms, such as Fluent Bit, give organizations a much-needed solution for quickly gathering and processing log data to make it available in different backends for further analytics. Speed up your troubleshooting processes Log analysis is typically the first step in the troubleshooting process.

Open Source 264

Open Source Analytics Cloud Innovation 264

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

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 290

Performance Architecture Innovation Latency 290

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. A unified observability and security analytics strategy can guide organizations toward a more proactive security posture at scale. Discover more insights from the 2024 CISO Report.

Analytics 245

Analytics Government DevOps Efficiency 245

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 264

Java Traffic Architecture Serverless 264

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 243

Cloud Ecommerce Performance Retail 243

Dynatrace

MAY 7, 2019

Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. They fail to understand the deployment architecture and dependencies and aren’t able to deal with the ephemeral nature of containers. Universal container-level metrics for resource contention analytics.

Monitoring 262

Monitoring Architecture Metrics Analytics 262

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

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 246

Serverless Azure Monitoring Lambda 246

Dynatrace

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. Using buckets to query only the data you need significantly speeds up queries and reduces query costs. Keeping these logs separate decreases the data volume for other troubleshooting logs. This allows you to query data from a specific bucket.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 246

Cloud DevOps Open Source Retail 246

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. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. What is predictive AI? What is AIOps?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

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 244

Artificial Intelligence DevOps Analytics Cloud 244

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 246

AWS Lambda Artificial Intelligence Serverless 246

Dynatrace

JUNE 28, 2021

Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. The challenge? Getting adequate insight into an increasingly complex and dynamic landscape. Why ITOps needs to work smarter, not harder.

Infrastructure 257

Infrastructure Monitoring Artificial Intelligence Open Source 257

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 217

Serverless Azure Monitoring Lambda 217

Dynatrace

NOVEMBER 22, 2022

Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin. They also need a way to track all the services running on their distributed architectures, from multicloud environments to the edge. What is always-on infrastructure? Automate IT operations.

Infrastructure 246

Infrastructure Availability Systems Retail 246

Dynatrace

MAY 15, 2020

Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. Today, security teams often employ SIEMs for log analytics.

Government 278

Government DevOps Infrastructure Network 278

All Things Distributed

NOVEMBER 15, 2016

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. QuickSight is a cloud-powered BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Enter Amazon QuickSight. How you can get started.

Analytics 126

Analytics Availability Media Social Media 126

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 262

Artificial Intelligence Open Source Cloud Analytics 262

Dynatrace

MARCH 6, 2024

Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making. Dynatrace has made the reference IDP architecture available on GitHub for anyone to use. It includes a notebook with configuration and deployment instructions.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 245

Artificial Intelligence DevOps Performance Games 245

Dynatrace

AUGUST 7, 2023

Learn more about securing modern applications and infrastructure and how to integrate security analytics into your DevSecOps initiative with the following resources. To speed detection and streamline remediation, organizations need detailed insight into security issues across their environments and applications.

DevOps 246

DevOps Analytics Best Practices Java 246

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147