Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Real-time anomaly detection.

Analytics 180

Analytics Software Software Storage 180

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 186

Architecture DevOps Monitoring Programming 186

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. Open source solutions are also making tracing harder.

Analytics 176

Analytics Innovation Metrics Database 176

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Having all data in context tremendously simplifies analytics and problem detection.

Architecture 161

Architecture Availability Infrastructure Metrics 161

Dynatrace

DECEMBER 18, 2020

Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience? At Dynatrace we live and breathe the concept of “Drink Your Own Champagne” (DYOC), so of course, I want to use Dynatrace to monitor my apps.

Analytics 134

Analytics Metrics IoT Monitoring 134

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Simplify error analytics.

Serverless 228

Serverless Azure Monitoring Lambda 228

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 177

Software Software Analytics Big Data 177

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 209

AWS Analytics Cloud Monitoring 209

Dynatrace

OCTOBER 4, 2022

Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data. Grail needs to support security data as well as business analytics data and use cases. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Just one command instruments your entire application environment for monitoring.

Analytics 151

Analytics Technology Technology Cloud 151

Dynatrace

MARCH 6, 2024

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” Intelligent monitoring is also crucial. “It makes them more productive. “It has worked kind of flawlessly.”

Engineering 230

Engineering Development DevOps Infrastructure 230

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.

Open Source 203

Open Source Analytics Metrics Cloud 203

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 264

Efficiency Performance Analytics DevOps 264

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Monitor and neutralize insider threats from negligent or malicious employees and contractors.

Analytics 189

Analytics Infrastructure Efficiency Technology 189

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. Requirements to achieve multicloud observability and monitoring. Environments with multiple cloud service providers that deploy microservices, containers, and Kubernetes systems require a more dynamic, modern approach to monitoring.

Monitoring 181

Monitoring Artificial Intelligence DevOps Serverless 181

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Simplify error analytics.

Serverless 139

Serverless Azure Monitoring Lambda 139

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. Further, these resources support countless Kubernetes clusters and Java-based architectures. where an error occurred at the code level.

Analytics 209

Analytics Storage Infrastructure Metrics 209

Dynatrace

OCTOBER 1, 2021

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. What is the difference between monitoring and observability? Is observability really monitoring by another name? Dynatrace news. In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MAY 7, 2019

This is why we’re proud to announce fully automated and AI-powered full-stack monitoring for OpenShift 4.0 Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. Automated distributed tracing, deep monitoring and AI-powered answers for OpenShift 4.0

Monitoring 198

Monitoring Architecture Metrics Analytics 198

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. Enrich database performance KPIs with business analytics. What’s next?

Database 235

Database DevOps Analytics Servers 235

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. This is simply not possible with conventional architectures.

Artificial Intelligence 197

Artificial Intelligence Storage Analytics Government 197

Dynatrace

OCTOBER 28, 2020

The Dynatrace Software Intelligence Platform provides you with so much more monitoring functionality. This means that your entire IT infrastructure can be monitored within minutes. OneAgent monitors the full technology stack of each host. And even Digital business analytics. You name it, and we have it!

Monitoring 143

Monitoring Systems Infrastructure Cloud 143

Dynatrace

OCTOBER 17, 2023

At this time, the company decided to activate Dynatrace Application Security for runtime application security protection and analytics. This decision was easy, as Dynatrace was already across these applications (and more) for monitoring performance and resiliency.

Energy 181

Energy Artificial Intelligence AWS Lambda 181

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 174

DevOps Analytics Storage Metrics 174

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. End-to-end code-level tracing. Cluster and container Log Analytics. End-user monitoring. Dynatrace news. Full-stack observability.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Deep-code execution details. Dynatrace news.

Java 222

Java Traffic Strategy Architecture 222

Dynatrace

JULY 18, 2022

Gartner has estimated that 70% of new cloud-native application monitoring will use open source instrumentation by 2025. The arrival of the OpenTelemetry initiative is timely, as development teams are increasingly becoming active in monitoring and observability efforts to accelerate release times and simplify management.

Artificial Intelligence 182

Artificial Intelligence Open Source Analytics Monitoring 182

Dotcom-Montior

NOVEMBER 24, 2021

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. Gone are the days of monolithic architecture. monitoring distributed systems becomes much more difficult to carry out and manage. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Simplify error analytics. What is Lambda?

Lambda 214

Lambda AWS Serverless Latency 214

Dynatrace

FEBRUARY 16, 2023

Observability industry themes to watch Perhaps the most significant industry trend is the shift from traditional, on-premises environments to multicloud or cloud-native architectures. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 163

Analytics Innovation Cloud Scalability 163

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 176

Cloud DevOps Open Source Retail 176

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 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 241

Cloud Serverless Innovation Architecture 241

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 172

Engineering Development Infrastructure Cloud 172