Dynatrace

JANUARY 19, 2022

Dynatrace news. Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. A key arrow in the quiver for game-changers for developing and managing modern software is automatic, intelligent observability.

Artificial Intelligence 187

Artificial Intelligence DevOps Performance Games 187

Dynatrace

NOVEMBER 22, 2021

Dynatrace news. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. Observability with AWS and beyond.

AWS 234

AWS Lambda Artificial Intelligence Serverless 234

Dynatrace

DECEMBER 8, 2021

Dynatrace news. As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. What is the cloud observability wall? At any given time, the state of your application is undergoing rapid, automated changes in response to the environment. Let’s break it down.

Cloud 233

Cloud Serverless Hardware Operating System 233

Dynatrace

FEBRUARY 8, 2021

Dynatrace news. Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Logs provide information you can’t find anywhere else.

Cloud 262

Cloud Azure Analytics Open Source 262

Dynatrace

NOVEMBER 22, 2021

Dynatrace news. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability?

Best Practices 219

Best Practices AWS Monitoring Serverless 219

Dynatrace

JANUARY 5, 2023

These are precisely the business goals of AIOps: an IT approach that applies artificial intelligence (AI) to IT operations, bringing process efficiencies. AIOps, together with an observability platform, can enable organizations to precisely identify the root cause of cloud application performance and security issues. What is AIOps?

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

Dynatrace

JULY 29, 2022

Dynatrace news. Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. What is log analytics? This is also known as root-cause analysis. What are the use cases for log analytics?

Analytics 222

Analytics Storage Retail DevOps 222

Dynatrace

DECEMBER 30, 2021

Dynatrace news. This article includes key takeaways on AIOps strategy: Manual, error-prone approaches have made it nearly impossible for organizations to keep pace with the complexity of modern, multicloud environments. AIOps strategy at the core of multicloud observability and management.

Strategy 231

Strategy Energy Cloud Innovation 231

Dynatrace

JANUARY 31, 2022

Dynatrace news. Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Serverless architecture is the default for modern organizations.

Serverless 184

Serverless Architecture Open Source Innovation 184

Dynatrace

OCTOBER 4, 2022

Dynatrace has recognized this problem for some time, and we’ve been working hard to build a radically new approach to addressing it. Dynatrace has recognized this problem for some time, and we’ve been working hard to build a radically new approach to addressing it. Limited data availability constrains value creation.

Analytics 242

Analytics Artificial Intelligence Storage Serverless 242

Dynatrace

JANUARY 12, 2021

Dynatrace news. IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability brings multicloud environments to heel. Observability brings multicloud environments to heel.

Monitoring 200

Monitoring Artificial Intelligence DevOps Serverless 200

Dynatrace

NOVEMBER 3, 2021

Dynatrace news. This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. Monitoring vs. observability.

Monitoring 229

Monitoring Metrics DevOps Scalability 229

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. For many IT teams, application vulnerabilities remain a key challenge.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

APRIL 6, 2022

Dynatrace news. Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. What is full-stack observability? Comprehensive observability is also essential for digital experience monitoring (DEM).

DevOps 237

DevOps Innovation Infrastructure Analytics 237

Dynatrace

JULY 29, 2022

Dynatrace news. Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. What is log analytics? This is also known as root-cause analysis. What are the use cases for log analytics?

Analytics 189

Analytics Storage Retail DevOps 189

Dynatrace

NOVEMBER 11, 2021

Dynatrace news. Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. Given the importance of this conversation for various organizations, IT modernization is the focus of AWS re:Invent 2021. AWS re:Invent 2021: Modernizing for cloud-native environments.

AWS 221

AWS Cloud Lambda Azure 221

Dynatrace

JULY 6, 2022

Dynatrace news. Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. So, what is IT automation? What is IT automation?

Artificial Intelligence 197

Artificial Intelligence Tuning Strategy Big Data 197

Dynatrace

NOVEMBER 15, 2021

Dynatrace news. 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 monitoring? In fact, the global log management market is expected to grow from 1.9 billion in 2020 to $4.1

Analytics 217

Analytics Monitoring Artificial Intelligence DevOps 217

Dynatrace

JUNE 13, 2022

Dynatrace news. But with this speed, agility, and innovation come new challenges. Risks include performance problems and outages in cloud-native environments, application security vulnerabilities and poor digital experience for customers and other users. Security teams need their vulnerability management approach to be seamless.

Open Source 229

Open Source DevOps Java Innovation 229

Dynatrace

FEBRUARY 10, 2022

Dynatrace news. Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. For these vast environments, traditional, manual methods no longer suffice.

Artificial Intelligence 191

Artificial Intelligence Performance Innovation Speed 191

Dynatrace

OCTOBER 11, 2021

Dynatrace news. In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Where does Google Cloud Functions fit in the GCP environment? What is Google Cloud Functions? GCF use cases.

Google 229

Google Cloud Serverless Azure 229

Dynatrace

DECEMBER 23, 2021

Dynatrace news. There are two ways to address these questions: the approach using traditional application security tooling, and the approach using automatic and intelligent observability in modern hybrid, multicloud environments. Traditional application security approach to mitigating Log4Shell.

Internet 220

Internet Internet Energy Open Source 220

Dynatrace

NOVEMBER 5, 2023

To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. Read on to learn more about how Dynatrace delivers AI transformation to accelerate modern cloud strategies.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

OCTOBER 1, 2021

Dynatrace news. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. But what is observability? What is observability? Why is it important, and what can it actually help organizations achieve?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. Observability is essential to ensure the reliability, security and quality of any software system. In this blog post, we will discuss some of these challenges and how to overcome them.

Serverless 215

Serverless Lambda Azure AWS 215

Dynatrace

DECEMBER 24, 2020

Dynatrace news. Legacy approaches to monitoring give your team piles of siloed data, but sometimes provide only fragments of insight into specific layers of the technology stack without context. Myth 1 – Enterprise-scale observability is too difficult to accomplish.

DevOps 252

DevOps Infrastructure Cloud Monitoring 252

Dynatrace

OCTOBER 14, 2021

Dynatrace news. ” It’s an accurate description of most AIOps tools and platforms on the market, but it excludes key capabilities that are essential for a comprehensive, modern AIOps solution. Two approaches to AIOps. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 220

Artificial Intelligence DevOps Innovation Metrics 220

Dynatrace

FEBRUARY 9, 2022

Dynatrace news. Modern infrastructure needs to be elastic and GitOps approaches are used to automate the provisioning of infrastructure and applications using Git, an open-source control system that provides the change processes including reviews and approvals.

Code 224

Code Software Software DevOps 224

Dynatrace

APRIL 15, 2022

Dynatrace news. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. As operational complexity increases exponentially, conventional tools and operations approaches hit a cloud observability wall. VA’s journey into the cloud.

Cloud 184

Cloud Infrastructure Innovation Monitoring 184

Dynatrace

DECEMBER 22, 2021

Dynatrace news. That’s why IT teams need both observability tools and an observability platform. To understand the distinction between observability tools and an observability platform, let’s start by defining observability. What is observability?

Artificial Intelligence 185

Artificial Intelligence Metrics Architecture DevOps 185

Dynatrace

NOVEMBER 9, 2022

Today’s organizations know they need cloud environments to stay competitive. . for some 95% of new digital initiatives by 2025 — up from less than 40% in 2021. . According to some data, 93% of technologists find cloud application modernization challenging. And Gartner predicts that? Moreover, according to IDC data,?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Evolving threats: New security threats and vulnerabilities are constantly emerging.

Cloud 180

Cloud DevOps Code Open Source 180

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging.

DevOps 206

DevOps Best Practices Innovation Strategy 206

Dynatrace

SEPTEMBER 22, 2021

Dynatrace news. This acronym can stand for application performance monitoring or application performance management — two distinct but related concepts. Both terms refer to technologies and practices, and both approaches aim to detect and pinpoint application performance issues before real users are impacted. What is APM ?

Innovation 213

Innovation Open Source Monitoring Infrastructure 213

Dynatrace

OCTOBER 4, 2021

Dynatrace news. Modern applications—enterprise and consumer—increasingly depend on third-party services to create a fast, seamless, and highly available experience for the end-user. As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring?

Monitoring 185

Monitoring Latency Metrics Availability 185

Dynatrace

AUGUST 9, 2023

As a result, analysts are turning to AI and TTP-based threat-hunting techniques to uncover how attackers are trying to exploit their environments. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 204

Analytics AWS Strategy Infrastructure 204

Dynatrace

MARCH 16, 2021

Dynatrace news. Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. What type of AI is the best approach for AIOps?

Artificial Intelligence 199

Artificial Intelligence Open Source Cloud Analytics 199