Dynatrace

APRIL 28, 2021

Answering this question requires careful management of release risk and analysis of lots of data related to each release version of your software. Answers provided by built-in Dynatrace Release Analysis. Each entry represents a process group instance. How Release Analysis works. “To release or not to release?”

Software 238

Software Software Strategy Metrics 238

Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 176

Cloud Open Source Architecture Monitoring 176

Dynatrace

APRIL 19, 2024

Automate disk resizing operations with Davis AI predictive analytics The Dynatrace Site Reliability Engineering (SRE) team was looking for a way to automatically adjust disk space for cloud volumes on a regular basis to avoid over- or under-provisioning them. Figure 3: Funnel analysis implemented by selecting a custom user journey.

AWS 220

AWS Analytics Cloud Monitoring 220

Scalegrid

JANUARY 11, 2024

What does it take to secure your cloud assets effectively? Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 11, 2021

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. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

SEPTEMBER 21, 2023

Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.

Energy 233

Energy Cloud Airlines Strategy 233

Dynatrace

JULY 31, 2020

With the rise of cloud computing, it’s now more important than ever. The benefit of this is that optimizing the CPU usage of your workloads now pays off almost immediately in the form of reduced cloud computing costs. Split analyzed workload by processes. Dynatrace news. Divide and conquer.

Monitoring 230

Monitoring Performance Java Processing 230

Dynatrace

APRIL 26, 2022

As more organizations turn to application containerization, managing the tasks and processes that come with containers becomes critical. Cloud-native observability and artificial intelligence (AI) can help organizations do just that with improved analysis and targeted insight. Dynatrace news.

Cloud 225

Cloud Artificial Intelligence DevOps Scalability 225

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

DZone

MARCH 10, 2023

Cloud cost optimization refers to the process of analyzing resources to identify areas where unused or wasted resources can be optimized to reduce expenses. This involves a variety of tasks, including resource analysis, identification, monitoring, and management of instances.

Cloud 130

Cloud Development Monitoring Processing 130

High Scalability

DECEMBER 16, 2022

Explain cloud computing to me at a professional level? Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Another key benefit of cloud computing is its reliability and availability. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

AUGUST 16, 2022

Though analysts and management can’t make use of this log data if it’s formatted with custom keywords or IDs that can’t be mapped to a dashboard or report for further analysis. Advanced processing on your observability platform unlocks the full value of log data. Log format inconsistency makes it a challenge to access critical data.

Processing 187

Processing Metrics Monitoring Java 187

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Our Cloud Automation Roadshow brings the latest cloud-native automation practices to our attendees. Cloud Automation SLIs and SLOs can be changed through your git service and process of choice.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. Dynatrace news.

Strategy 198

Strategy Cloud Infrastructure Java 198

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 198

AWS Cloud Lambda Analytics 198

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

NOVEMBER 18, 2021

Cloud-native observability is a prerequisite for companies that need to meet these expectations. Logs include critical information that can’t be found elsewhere, like details on transactions, processes, users, and environment changes. The example below includes analysis of a payment issue. Dynatrace news.

Analytics 223

Analytics Cloud Java Serverless 223

Dynatrace

JULY 13, 2021

During the last six months, Dynatrace introduced release analysis, version awareness, and service-level objectives (SLOs) to the core of the Dynatrace Software Intelligence Platform. Now we’re happy to announce the release of Cloud Automation quality gates. Shift left your SRE practices. How the evaluation works.

Cloud 240

Cloud DevOps Benchmarking Speed 240

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. Since Micrometer conforms data to the right form and then sends it off for analysis, companies need an easy way to analyze massive amounts of data , get actionable insights in real time, and interpret the resulting alerts and responses.

Metrics 207

Metrics Latency Java Cache 207

Dynatrace

OCTOBER 21, 2020

It’s done through what I would refer to as “Progressive Delivery at Cloud Scale”. If that’s the case, the update process continues to the next set of clusters and that process continues until all clusters are updated to the new version. From here it’s a single click to the CPU Method Hotspot analysis!

Code 242

Code Cloud Engineering Java 242

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Dynatrace

MARCH 18, 2024

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. OpenTelemetry is natively supported by middleware and cloud providers and can ingest telemetry data directly. OneAgent provides the enriched telemetry automatically.

Scalability 262

Scalability Open Source Analytics Innovation 262

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 181

Infrastructure Cloud Azure AWS 181

Dynatrace

MAY 3, 2022

Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.

Cloud 177

Cloud DevOps Architecture Technology 177

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Of course, adequate solutions for both worlds exist, However, we argue that even today, they either lack the ease of use or smartness required by today’s complex cloud ecosystems.

Metrics 228

Metrics Analytics Monitoring Efficiency 228

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Additionally, Dynatrace’s Micha? ski explains.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 220

Google Cloud Serverless Innovation 220

Dynatrace

MARCH 18, 2024

Overseeing cloud spend and IT resource allocation has always been a priority for CIOs. Yet, in 2023, 82% of cloud decision makers reported that managing cloud spend was their top challenge, according to one source. Teams provision and purchase many cloud services that end up underused or completely unused.

Best Practices 231

Best Practices Strategy Cloud AWS 231

Dynatrace

DECEMBER 8, 2020

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.

Cloud 289

Cloud Open Source Internet Internet 289

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. This is why Dynatrace is extending its observability capabilities for SAP with PowerConnect for SAP.

Java 188

Java Analytics Best Practices Monitoring 188

Dynatrace

NOVEMBER 29, 2022

And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. So we built one: The Dynatrace Cloud Automation control plane. Cloud Automation use cases.

Infrastructure 172

Infrastructure Code Cloud DevOps 172

Dynatrace

FEBRUARY 10, 2021

Lots of data intended to help and aid, but instead results in too much noise and unnecessary alerts due to the lack of intelligent root-cause analysis and transparency. Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. All-in-one observability and enterprise-grade control plane.

Cloud 167

Cloud DevOps Speed Azure 167

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. Since Micrometer conforms data to the right form and then sends it off for analysis, companies need an easy way to analyze massive amounts of data , get actionable insights in real time, and interpret the resulting alerts and responses.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. Since Micrometer conforms data to the right form and then sends it off for analysis, companies need an easy way to analyze massive amounts of data , get actionable insights in real time, and interpret the resulting alerts and responses.

Metrics 130

Metrics Latency Java Cache 130