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 183

Analytics Storage Retail Monitoring 183

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Here’s the approach they chose.

Mobile 214

Mobile Analytics Best Practices Software Engineering 214

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. They also need a high-performance, real-time analytics platform to make that data actionable. Now, you can set up your Firehose stream.

Cloud 206

Cloud Lambda AWS Analytics 206

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation?

Software 190

Software Software Analytics Big Data 190

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. You can filter logs based on their content, source, or process technology. This feature is readily available on both the Dynatrace tenant and Environment ActiveGate.

Serverless 225

Serverless Analytics AWS Azure 225

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Improving data quality is a strategic process that involves all organizational members who create and use data. Another common impediment is manual data tagging and handling, an error-prone process that teams should minimize.

Government 203

Government Analytics Benchmarking Storage 203

Dynatrace

MARCH 27, 2024

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. With Dynatrace Log Management analytics, organizations can set up alerts based on the occurrence of specific log events. Note that AWS AppFabric is available in the US East (N.

AWS 248

AWS Analytics Government Monitoring 248

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

SEPTEMBER 13, 2023

Many companies rely on Citrix as a critical component of their infrastructure that demands thorough observability and integrated analytics across the entire application landscape. Automated AI-powered analytics are necessary to match the scale of monitoring these enterprises require.

Monitoring 222

Monitoring Healthcare Infrastructure Metrics 222

Dynatrace

JULY 11, 2023

By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine. In SaaS deployments, you can use this approach to ingest log data into Grail and analyze it via Log Management & Analytics in your environment.

Open Source 217

Open Source Analytics Metrics Cloud 217

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). But contextual analytics don’t stop here. “AI

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. Analytics without boundaries. Example business events from anywhere.

Analytics 229

Analytics Retail Storage Monitoring 229

Dynatrace

NOVEMBER 6, 2023

Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India. An overview of how to upgrade to Dynatrace is available in our guide, Upgrade to Dynatrace SaaS.

AWS 241

AWS Azure Tuning Analytics 241

Dynatrace

JULY 25, 2023

Causal AI processes observability, security, and business data in the context of causal dependencies from Dynatrace Smartscape topology to precisely determine the needle in the haystack in continuously and dynamically updated software services. Davis CoPilot™ will be available later in 2023 as a core technology within the Dynatrace platform.

Best Practices 235

Best Practices Analytics Metrics Code 235

Dynatrace

DECEMBER 13, 2023

As a result, organizations will increasingly demand solutions that provide data observability to enable them to rapidly and securely ingest high-quality and reliable data that is ready for analytics on demand. Technology prediction No. 7: SIEM will become irrelevant as security teams turn to intelligent threat analysis.

Technology 206

Technology Technology Artificial Intelligence Analytics 206

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

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 206

DevOps Metrics Engineering Analytics 206

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. These two processes feed into one another. Log management brings together log monitoring and log analysis.

Systems 188

Systems Cloud Analytics DevOps 188

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 196

Analytics Processing Transportation Storage 196

Dynatrace

FEBRUARY 1, 2024

This approach provides an immediate understanding of how entities such as hosts, processes, and their associated relationships contribute to the identified issue. Host details Focusing on a specific host, you can see all used technologies with detailed status information and links to processes.

Infrastructure 183

Infrastructure Metrics Network Monitoring 183

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

NOVEMBER 5, 2023

Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible. The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

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 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., We also couldn’t compromise on performance and availability.” shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure.

Cloud 173

Cloud Ecommerce Performance Retail 173

Dynatrace

APRIL 13, 2023

It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Cloud infrastructure and applications scale dynamically, which generates a large volume of logs at high This can make it challenging to process, store, and analyze them in real time. Distributed and complex topologies.

Analytics 187

Analytics Java Infrastructure Cloud 187

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 254

Processing Monitoring Analytics C++ 254

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … Shifting from incident response to incident prevention In a world where so many digital activities are readily available and instant, downtime is downright unacceptable. But it is also about process automation.

Artificial Intelligence 196

Artificial Intelligence Analytics Cloud Innovation 196

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 212

Analytics Metrics Media Monitoring 212

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Therefore, we have redesigned this extension from scratch, replacing the previously available WMI-based extension.

Efficiency 217

Efficiency Virtualization Hardware Performance 217

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

JUNE 7, 2021

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 215

Tuning Scalability Efficiency Processing 215

Dynatrace

SEPTEMBER 15, 2023

By leveraging Dynatrace capabilities like Runtime Vulnerability Analytics, Runtime Application Protection, AI-assisted prioritization, and AutomationEngine , customers can improve the effectiveness of their DevSecOps processes while boosting productivity.

Monitoring 249

Monitoring Performance Analytics DevOps 249

Tech News Gather

JANUARY 27, 2023

Whether you’re looking for a side hustle or just a way to earn a little extra cash, there are plenty of options available. Alternative apps to Earnin for earning money: There are various apps available that can be referred to as an alternative to Earnin. How Can You Make Money in India Through Money-Making Apps?

Availability 52

Availability Retail Programming Education 52

Dynatrace

OCTOBER 19, 2023

Using vulnerability management, DevSecOps automation, and attack detection and blocking in your application security process can proactively improve your organization’s overall security posture. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

Best Practices 212

Best Practices Benchmarking Speed Infrastructure 212

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264