Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. With the Dynatrace modern observability platform, teams can now use intuitive, low-code/no-code toolsets and causal AI to extend answer-driven automation for business, development and security workflows.

Code 264

Code DevOps Cloud Analytics 264

Dynatrace

JANUARY 17, 2023

Code changes are often required to refine observability data. This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.

Analytics 321

Analytics Metrics Open Source Java 321

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

DECEMBER 2, 2024

Part of the problem is technologies like cloud computing, microservices, and containerization have added layers of complexity into the mix, making it significantly more challenging to monitor and secure applications efficiently. Learn more about how you can consolidate your IT tools and visibility to drive efficiency and enable your teams.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Mining and public transportation organizations commonly rely on IoT to monitor vehicle status and performance and ensure fuel efficiency and operational safety.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. 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.

Analytics 246

Analytics Software Software Storage 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 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

MARCH 5, 2025

Fast and efficient log analysis is critical in todays data-driven IT environments. For enterprises managing complex systems and vast datasets using traditional log management tools, finding specific log entries quickly and efficiently can feel like searching for a needle in a haystack.

AWS 217

AWS Azure Best Practices Efficiency 217

Dynatrace

JANUARY 15, 2025

Here’s how Dynatrace can help automate up to 80% of technical tasks required to manage compliance and resilience: Understand the complexity of IT systems in real time Proactively prevent, prioritize, and efficiently manage performance and security incidents Automate manual and routine tasks to increase your productivity 1.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams. Instead, they interact with the applications that are hosted on Hyper-V.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

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.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

FEBRUARY 24, 2025

Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance. Log files and APIs are the most common business data sources, and software agents may offer a simpler no-code option.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Architecture 290

Architecture Efficiency Energy Monitoring 290

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 246

Analytics Innovation Metrics Database 246

Dynatrace

JANUARY 31, 2024

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

FEBRUARY 25, 2025

Broken Apache Struts 2: Technical Deep Dive into CVE-2024-53677The vulnerability allows attackers to manipulate file upload parameters, possibly leading to remote code execution. This allows attackers to manipulate file upload parameters, leading to unauthorized file placement and potentially remote code execution (RCE).

Servers 214

Servers Processing Java Tuning 214

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. Operations.

Software 246

Software Software Analytics Big Data 246

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. where an error occurred at the code level.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

Artificial Intelligence 246

Artificial Intelligence Analytics Efficiency Database 246

Dynatrace

JULY 24, 2024

By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Availability 279

Availability Infrastructure Metrics Hardware 279

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. 2: AI-generated code will create the need for digital immune systems. In 2024, more organizations will experience major digital service outages due to poor-quality and insufficiently supervised software code.

Technology 264

Technology Technology Artificial Intelligence Analytics 264

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. High-performance analytics—no indexing required.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. This technique is shown in the code snippet below.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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. Support diverse analytics workloads. What is a data lakehouse? Reduced redundancy.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

SEPTEMBER 8, 2022

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. AI is also crucial for securing data privacy, as it can more efficiently detect patterns, anomalies, and indicators of compromise. Learn more in this blog.

Analytics 245

Analytics Government DevOps Efficiency 245

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 312

Serverless Infrastructure Innovation DevOps 312

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. With a data lakehouse, DevSecOps teams can aggregate, store, and centralize structured and unstructured data in one cost-efficient repository without predetermining which data is necessary.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” All this can be self-defined in the source code.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

DECEMBER 21, 2023

Business processes are important because they improve the efficiency, consistency, and quality of the business outcome. Business process monitoring helps organizations: Increase efficiency by identifying and addressing bottlenecks or inefficiencies that may slow down a business process. Reduce costs.

Processing 264

Processing Monitoring Retail Analytics 264

Dynatrace

JULY 30, 2020

Dynatrace advanced observability – Dynatrace goes beyond m etrics, logs and traces are important to provide distributed tracing, code-level detail on entity relationships and topology, as well as user experience and behavior data that agencies need to take command of their dynamic?hybrid hybrid and?multi multi – cloud?

Government 270

Government Analytics Cloud Infrastructure 270

Dynatrace

DECEMBER 12, 2023

And now, it has become integral to organizations’ efforts to drive efficiency and improve productivity. As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%).

Artificial Intelligence 276

Artificial Intelligence DevOps Analytics Strategy 276