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. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

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 181

Analytics Ecommerce Metrics Innovation 181

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing.

Google 267

Google Innovation Cloud Analytics 267

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. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. What is causal AI?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. However, this process can become tedious with hundreds of thousands of events flooding in daily.

AWS 226

AWS Analytics Cloud Monitoring 226

Dynatrace

MAY 23, 2024

For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click. For more details, please see the blog post Dynatrace and Microsoft Azure integrate to help accelerate your cloud transformation. Notebooks offers advanced Azure observability analytics with DQL.

Azure 221

Azure Cloud Metrics Innovation 221

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI? What is causal AI?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

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. Ingest and process with Grail. Thus, it can scale massively. Retain data.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. What Exactly is Greenplum? At a glance – TLDR. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. In this blog, we’ll discuss our predictions for 2024 regarding the future of observability, the most significant AI trends, and other technologies that will power the next wave of transformations in organizations worldwide.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

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 189

Systems Cloud Analytics DevOps 189

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

Dynatrace

OCTOBER 6, 2023

Custom data buckets for faster queries, increased control, and custom retention periods The first layer in the Grail data model consists of buckets and tables (and views for entities, which is outside this blog post’s scope). Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

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

Dynatrace

JANUARY 5, 2023

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. In its most basic form, IT automation executes scripts or processes on a schedule or in response to particular events.

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

Dynatrace

SEPTEMBER 14, 2022

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. Data analytics solutions in the APM and observability space have matured steadily over the years. What’s next.

Metrics 234

Metrics Analytics Monitoring Efficiency 234

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 271

Serverless Infrastructure Innovation DevOps 271

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 225

DevOps Traffic Efficiency Servers 225

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 209

Cache Azure Infrastructure Monitoring 209

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. CL provides an end-to-end solution for logging, processing, and analyzing user interactions on Netflix apps from all devices. What is your favorite project?

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 215

AWS Best Practices Analytics Cloud 215

Dynatrace

JULY 30, 2020

Davis, dynamically discovers and maps dependencies among entities through the complete software stack, including applications, containers, services, processes, logs, and supporting infrastructure, which helps agencies reduce wasted motions and accelerate outcomes for operations, user-experience optimization, and business objectives. .

Government 210

Government Analytics Cloud Infrastructure 210

Dynatrace

JUNE 5, 2023

As web applications commonly use load balancers, such as F5 BIG-IP, Dynatrace customers often seek to enhance their monitoring capabilities by integrating it with Dynatrace comprehensive monitoring and AI-powered analytics. The Dynatrace extension for F5 BIG-IP monitoring has proven to be a successful solution for them. What’s next?

Traffic 200

Traffic Virtualization Metrics Monitoring 200

Dynatrace

OCTOBER 25, 2022

NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team. Mike Gualtieri of Forrester Research, who coined the term NoOps , once said in his blog post, “NoOps means that application developers will never have to speak with an operations professional again.”.

DevOps 222

DevOps Big Data Cloud Innovation 222

Dynatrace

FEBRUARY 13, 2020

To provide customers with greater efficiency, simplicity and speed as they undergo digital transformation, our latest infrastructure monitoring module leverages the answers-first approach delivered by the AI and advanced automation capabilities at the core of our all-in-one Software Intelligence Platform. Next-gen Infrastructure Monitoring.

Performance 242

Performance Analytics Mobile Innovation 242

Dynatrace

FEBRUARY 8, 2021

Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes. Some solutions that use logs for troubleshooting only provide manual analytics to search for the root causes of issues.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. Ingest and process. Beware, you might be surprised how cost-efficient most of the queries are! Transparency.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

KeyCDN

OCTOBER 2, 2018

Reading and following the right web development blogs makes it much easier to get a solid education. That’s why in this post, we’ve compiled a list of the top web development blogs that will help you find your footing and acquire essential skills in modern web dev. Visit website 3. Visit website 5. Visit website 9.

Development 75

Development Website Design Code 75

Dynatrace

APRIL 6, 2022

With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Full-stack observability eliminates this common challenge by allowing IT teams to integrate runtime application security more effectively into DevSecOps processes. Improve business decisions with precision analytics.

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

SEPTEMBER 7, 2022

Additional benefits from this new Amazon feature include the following: Customers can reduce operational overhead and easily process VPC Flow Logs by achieving the following: The offering eliminates dependencies on custom integrations. Check out our Power Demo: Log Analytics with Dynatrace. Learn more about VPC Flow Logs.

Traffic 221

Traffic AWS Network Cloud 221