Dynatrace

MARCH 5, 2025

The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Two-thirds say vulnerability management is becoming harder because of complex supply chain and cloud ecosystems. What is security analytics? Why is security analytics important? Here’s how.

Analytics 264

Analytics Network Open Source Hardware 264

Dynatrace

OCTOBER 2, 2024

Enterprises are turning to Dynatrace for its unified observability approach for cloud-native, on-premises, and hybrid resources. The Clouds app provides a view of all available cloud-native services. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

APRIL 16, 2025

Among the myriad options in today’s cloud security landscape, three key solutions stand out: Cloud-Native Application Protection Platform (CNAPP), Cloud Security Posture Management (CSPM), and Kubernetes Security Posture Management (KSPM). Cloud platforms (AWS, Azure, GCP, etc.) EKS, GKE, AKS, OpenShift, etc.)

Serverless 219

Serverless Azure Cloud Infrastructure 219

Dynatrace

FEBRUARY 4, 2025

We’re excited to announce the expansion of the Dynatrace security portfolio with new Cloud Security Posture Management (CSPM) capabilities. Cloud environments are vast and constantly evolving, making manual identification of misconfigurations virtually impossible. million annually per organization. The solution?

Cloud 130

Cloud Virtualization Efficiency Best Practices 130

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. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

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. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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

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

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Enter Grail-powered data and analytics.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Digital businesses rely on real-time business analytics data to make agile decisions.

Analytics 246

Analytics Strategy Storage Technology 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

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems. But why stop there?

Games 165

Games Analytics Innovation Metrics 165

DZone

APRIL 11, 2023

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246

Azure Analytics Storage Cloud 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

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

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. What can you do with Dynatrace Security Analytics?

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

SEPTEMBER 27, 2024

The methodology and algorithms were designed by Dynatrace with guidance from the Sustainable Digital Infrastructure Alliance (SDIA), expanding on formulas from the open source project Cloud Carbon Footprint. Some use cases benefit from dashboards or ad-hoc analytics, complementing the insights from Carbon Impact.

Energy 246

Energy Infrastructure Cloud Best Practices 246

Dynatrace

APRIL 4, 2025

Why unified observability boosts productivity While journalctl is a powerful local tool with local filtering capabilities, it doesn’t scale well, especially considering the globally distributed components of today’s hybrid/cloud-hosted environments.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

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. Grail and DQL will give you new superpowers.”

Analytics 246

Analytics Innovation Metrics Database 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. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. This is Davis CoPilot.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

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

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This decoupling simplifies system architecture and supports scalability in distributed environments.

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

SEPTEMBER 5, 2024

Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times. 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 Storage 290

Dynatrace

AUGUST 27, 2020

Cloud deployments have grown rapidly in recent years, and enterprise hybrid and multicloud environments have become the new standard, resulting in new challenges such as: Keeping up with dynamic, autoscaling environments where instances, applications and microservices come and go fast. AWS IoT Analytics. AWS Storage Gateway.

AWS 279

AWS Cloud IoT Database 279

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

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

FEBRUARY 24, 2025

Most organizations have hundreds of business processes across these four categories, supported by IT systems through a mix of on-premises, cloud, and SaaS solutions. But even the best BPM solutions lack the IT context to support actionable process analytics; this is the opportunity for observability platforms.

Processing 147

Processing Analytics Infrastructure Monitoring 147

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. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

MAY 21, 2024

As a technology executive, you’re aware that observability has become an imperative for managing the health of cloud and IT services. Observability data presents executives with new opportunities to achieve this, by creating incremental value for cloud modernization , improved business analytics , and enhanced customer experience.

Technology 275

Technology Technology Analytics Storage 275

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 306

Retail Storage Analytics Cloud 306

DZone

JUNE 3, 2024

This is especially the case when it comes to taking advantage of vast amounts of data stored in cloud platforms like Amazon S3 - Simple Storage Service, which has become a central repository of data types ranging from the content of web applications to big data analytics.

Big Data 278

Big Data AWS Storage Analytics 278

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Query language.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

AUGUST 28, 2020

Fully automated observability into your Azure multi-cloud environment. You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. Azure Data Lake Analytics. Azure Data Lake Storage Gen1. Simplify cloud operations with full visibility into your Azure Automation accounts.

Azure 235

Azure Cloud Tuning Monitoring 235

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Digital Business Analytics.

Analytics 305

Analytics Infrastructure AWS Operating System 305