DZone

APRIL 11, 2023

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246

Azure Analytics Storage Cloud 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 186

Analytics Storage Retail Monitoring 186

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes? What is business analytics? Why business analytics matter.

Analytics 180

Analytics Ecommerce Metrics Innovation 180

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. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 189

Systems Cloud Analytics DevOps 189

DZone

JUNE 6, 2023

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. One of the significant challenges that come with digital transformation is ensuring that software systems remain reliable and secure. This is where software testing comes in.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

DZone

FEBRUARY 5, 2024

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. One of the latest advancements in effectively analyzing a large amount of logging data is Machine Learning (ML) powered analytics provided by Amazon CloudWatch.

Analytics 269

Analytics Innovation Strategy Efficiency 269

Dynatrace

OCTOBER 7, 2020

This gives you all the benefits of a metric storage system, including exploring and charting metrics, building dashboards, and alerting on anomalies. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

MARCH 20, 2024

Application security monitoring is the practice of monitoring and analyzing applications or software systems to detect vulnerabilities, identify threats, and mitigate attacks. Forensics focuses on the systemic investigation and analysis of digital evidence to determine root causes.

Monitoring 217

Monitoring Analytics Traffic Best Practices 217

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 266

Google Innovation Cloud Analytics 266

Dynatrace

JUNE 12, 2020

We’re continuously working to support the most popular operating systems with high quality OneAgent deployment options. Of course, it’s possible to run a legacy 32-bit application on a 64-bit operating system. We’re already seeing a rapid decrease in the usage of 32-bit operating systems among our customers.

Operating System 139

Operating System Systems Monitoring Servers 139

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 192

Software Software Analytics Big Data 192

Dynatrace

APRIL 8, 2024

If system failures occur, teams must resolve them quickly and resolutely. Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Automated issue resolution.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

DECEMBER 13, 2023

2: AI-generated code will create the need for digital immune systems. These challenges will drive organizations to develop digital immune systems that protect their software from the inside by ensuring code resilience by default. Technology prediction No. Technology prediction No.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. Predictive analytics can anticipate potential failures and security breaches.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

Dynatrace

MARCH 13, 2024

The Network and Information Systems 2 (NIS2) Directive, which goes into effect in Oct 2024, aims to enhance the security of network and information systems throughout the EU. NIS2 is an evolution of the Network and Information Systems (NIS) Security Directive, which has been in effect since 2016.

Best Practices 233

Best Practices Education Strategy Analytics 233

DZone

MAY 19, 2023

On the one hand, they provide system risk alerts and help engineers quickly locate root causes in troubleshooting. Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

Government 205

Government Analytics Benchmarking Storage 205

DZone

JUNE 5, 2023

Cybercrime is big business; hackers are breaking into systems and stealing data using ever-more-advanced methods. AI can assist in identifying new threats as they emerge in real-time and even foresee future assaults before they happen by employing machine learning algorithms and predictive analytics.

Artificial Intelligence 300

Artificial Intelligence Analytics Network Technology 300

Dynatrace

FEBRUARY 12, 2024

Zero trust (ZT) mandates never trusting—but always verifying—any actor, system, network, or service operating outside or within the security perimeter, according to the OMB memo. Teams verify “anything and everything” that might attempt to gain access while enforcing least privilege.

Government 184

Government Analytics Network Traffic 184

Dynatrace

DECEMBER 21, 2023

In fact, most business processes still rely on multiple systems, long ago outgrowing the capabilities of built-in platform-centric monitoring. IT teams lack insight into how the systems they manage impact business outcomes. This leaves business leaders with incomplete visibility into these critical business assets.

Processing 218

Processing Monitoring Retail Analytics 218

Dynatrace

JANUARY 9, 2024

public sector, always-on, fully optimized systems are imperative to safeguard our nation’s security. Disruptions to mission-critical applications affect citizen services, including healthcare, utility grids, and transportation systems. public sector systems and data. For the U.S.

Government 174

Government Healthcare Transportation Education 174

Dynatrace

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Some tools demand the installation of agents on those systems and provide complex, disconnected views.

Monitoring 240

Monitoring Infrastructure Metrics Analytics 240

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 281

Efficiency Performance Analytics DevOps 281

DZone

AUGUST 23, 2023

It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions. In this tutorial, we will guide you through the process of setting up a monitoring system for IoT device data.

IoT 241

IoT Energy Open Source Analytics 241

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

DZone

SEPTEMBER 26, 2023

If your environment is like many others, it can often seem like your systems produce logs filled with a bunch of excess data. We'll talk about best practices and habits and use some of the Log Analytics tools from Sumo Logic as examples. Let’s blast off and turn that cosmic trash into treasure!

Best Practices 249

Best Practices Analytics Infrastructure Network 249

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 136

Analytics Cloud Healthcare Retail 136

Dynatrace

JULY 11, 2023

Without such a holistic view of system behavior and performance, organizations typically need to invest in separate instrumentation and integration efforts for each telemetry type, which brings additional overhead, costs, and complexity.

Open Source 220

Open Source Analytics Metrics Cloud 220

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 188

DevOps Analytics Storage Metrics 188

DZone

FEBRUARY 1, 2023

Built on Azure Blob Storage, Azure Data Lake Storage Gen2 is a suite of features for big data analytics. For instance, Data Lake Storage Gen2 offers scale, file-level security, and file system semantics. Azure Data Lake Storage Gen1 and Azure Blob Storage's capabilities are combined in Data Lake Storage Gen2.

Azure 243

Azure Storage Big Data Analytics 243

Dynatrace

FEBRUARY 1, 2024

By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” Performance analytics Dynatrace hypermodal AI empowers development teams to dig deep into database statements and remediate issues quickly. But contextual analytics don’t stop here. “AI

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

OCTOBER 17, 2023

Vulnerabilities for critical systems A global leader in the energy space found itself asking this very question. Additionally, the energy company didn’t have systems in place to engage in automated remediation were an attack to unfold.

Energy 197

Energy Artificial Intelligence AWS Lambda 197

DZone

NOVEMBER 17, 2022

Here is where machine learning (ML) systems and predictive analytics enter: to end ambiguity. Most times, we already know the output even though it needs to be better defined — less ambiguous with clear boundaries of where a regression falls.

Engineering 256

Engineering Performance Analytics Testing 256

Testlodge

NOVEMBER 1, 2021

” Destructive testing is a method that uses the system in a way other than intended to make the software program deliberately fail. How the system responds is then analyzed. Other tools are automated that let the tester fuzz test the system using fault injection techniques. Data-Driven Tools. Automated Tools.

Systems 81

Systems Testing Software Software 81