Dynatrace

DECEMBER 3, 2024

The rapid evolution of cloud technology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.

AWS 298

AWS Cloud Performance Innovation 298

Dynatrace

OCTOBER 15, 2024

We are excited to share that Dynatrace has been named the Cloud Security Platform of the Year in the prestigious 2024 CyberSecurity Breakthrough Awards. Additionally, 68% of CISOs struggle with vulnerability management because the complexity of their software supply chain and cloud ecosystem is beyond human capability.

Cloud 317

Cloud Analytics Innovation Scalability 317

Dynatrace

APRIL 5, 2024

GigaOm recently released its 2024 Radar Report for Cloud Observability, which includes 21 observability solution providers and analyzes each on their current and emerging features. This enables companies to ingest, analyze, and retain massive quantities of data with powerful analytics and AI-powered answers.

Cloud 278

Cloud Analytics Monitoring Scalability 278

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

DZone

FEBRUARY 5, 2024

In today's cloud computing world, all types of logging data are extremely valuable. Efficient log management strategies, such as implementing structured logging, using log aggregation tools, and applying machine learning for log analysis, are crucial for handling this data effectively. It is a brand new capability of CloudWatch.

Analytics 278

Analytics Innovation Strategy Efficiency 278

Dynatrace

NOVEMBER 18, 2024

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. At this year’s Microsoft Ignite, taking place in Chicago on November 19-22, attendees will explore how AI enables and accelerates organizations throughout their cloud modernization journeys.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

Dynatrace

DECEMBER 18, 2024

As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. But exploring the breadth of log analytics scenarios with most log vendors often results in unexpectedly high monthly log bills and aggressive year-over-year costs.

Analytics 246

Analytics Best Practices Efficiency Storage 246

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. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. Dynatrace PurePath 4 extends automatic distributed tracing to OpenTelemetry and the latest cloud-native technologies. Automatic topology analysis. Technical complexity has shifted from the actual code to the interdependencies between services.

Analytics 235

Analytics Technology Technology Cloud 235

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis. Dynatrace news.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis. Dynatrace news.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 246

Analytics Metrics Media Monitoring 246

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 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Cloud 260

Cloud Systems Analytics DevOps 260

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. As cloud complexity grows, it brings more volume, velocity, and variety of log data. Managing this change is difficult.

Cloud 279

Cloud Lambda AWS Analytics 279

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Real-time anomaly detection.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

MARCH 6, 2024

The latest Dynatrace report, “ The state of observability 2024: Overcoming complexity through AI-driven analytics and automation ,” explores these challenges and highlights how IT, business, and security teams can overcome them with a mature AI, analytics, and automation strategy.

Analytics 246

Analytics Innovation Strategy Storage 246

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. With the rising complexity of cloud-native environments, manual investigation and response are too slow and inaccurate. But this limited approach causes challenges in today’s hybrid multicloud reality.

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

FEBRUARY 16, 2024

The growing complexity of modern multicloud environments has created a pressing need to converge observability and security analytics. Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. The ripple effect of increased risk compounds the problem. To begin, St.

Analytics 246

Analytics Engineering Cloud Traffic 246

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. A visual representation of what Davis uses for its own analysis. An overview of the Dynatrace unified observability and security platform.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. In what follows, we explore these key cloud observability trends in 2024.

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Kubernetes makes spans longer,” Ortner explains.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads. What’s next?

Analytics 246

Analytics Metrics DevOps Storage 246

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 246

AWS Cloud Lambda Analytics 246

Dynatrace

JANUARY 4, 2024

But while OpenTelemetry solves the problem of standardizing data instrumentation, the complexity and scale of cloud-native tools and environments mean that organizations still struggle with OpenTelemetry service observability. OpenTelemetry is also useful for getting a handle on all the third-party libraries and services an organization uses.

Metrics 242

Metrics Open Source Tuning Infrastructure 242

Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 245

Cloud Open Source Architecture Monitoring 245

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? We believe that the two worlds of automated (AIOps) and manual (dashboards) data analytics are complementary rather than contradictory. Why today’s data analytics solutions still fail us.

Metrics 264

Metrics Analytics Monitoring Efficiency 264

Dynatrace

SEPTEMBER 5, 2024

The more data ingestion channels you provide to the Dynatrace Davis® AI engine, the more comprehensive Dynatrace automated root cause analysis becomes. Seamless integration with AWS Firehose Dynatrace is also enhancing our observability logs offerings for AWS services for cloud-native applications.

Innovation 290

Innovation AWS Analytics Infrastructure 290

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

FEBRUARY 1, 2024

Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. While cloud deployments offer benefits, they also pose management challenges—especially in multicloud strategies that use various cloud providers.

Cloud 246

Cloud Strategy Metrics Government 246

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Customers also want to carry out their own analysis tailored to specific use cases and forensic needs. Ingest those Falco events into Dynatrace Grail using  falcosidekick.

Analytics 246

Analytics AWS Infrastructure Strategy 246

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. Public Cloud vs. On-Premise vs. Hybrid Cloud.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dynatrace

DECEMBER 8, 2020

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.

Cloud 306

Cloud Open Source Internet Internet 306

Dynatrace

SEPTEMBER 21, 2023

Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.

Energy 264

Energy Cloud Airlines Strategy 264