Dynatrace

APRIL 24, 2024

To help our customers confidently navigate the complexities of the cloud and innovate faster and more securely, the Dynatrace platform must be delivered reliably. This will provide you with even more detailed insights into our service performance. This ensures that you’ll always stay informed, regardless of the circumstances.

Azure 240

Azure Infrastructure Metrics AWS 240

Dynatrace

APRIL 10, 2023

Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. According to the Dynatrace “2022 Global CIO Report,” 79% of large organizations use multicloud infrastructure. We also couldn’t compromise on performance and availability.”

Cloud 171

Cloud Ecommerce Performance Retail 171

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Application Insights – Collects performance metrics of the application code. Available as an agent installer). How does Dynatrace fit in?

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 236

Performance Analytics Mobile Innovation 236

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation.

Engineering 182

Engineering Development Infrastructure Cloud 182

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. Wrong-sized resources.

Best Practices 232

Best Practices Strategy Cloud AWS 232

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 23, 2020

Today we’re happy to announce, that with the release of Dynatrace version 1.198 (SaaS and Managed), auto-adaptive baseline extends beyond application performance (APM) metrics to include thousands of infrastructure and cloud metrics as well. Cloud platform metrics (AWS, Azure, Kubernetes, etc.). Custom log metrics.

Metrics 210

Metrics Innovation Strategy Monitoring 210

Dynatrace

FEBRUARY 16, 2023

And it is making it more and more difficult for all of us to manage that wealth of data,” said Rick McConnell, CEO of Dynatrace, at the annual Perform conference in Las Vegas. “… We need automation and observability to drive and address that issue.” We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Ultimately, cloud observability helps organizations to develop and run “software that works perfectly,” said Dynatrace CEO Rick McConnell during a keynote at the company’s Innovate conference in Săo Paulo in late August.

Cloud 222

Cloud Artificial Intelligence Innovation Azure 222

Dynatrace

FEBRUARY 8, 2021

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. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. In a monitoring scenario, you typically preconfigure dashboards that are meant to alert you to performance issues you expect to see later.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. As we found in our Kubernetes in the Wild research, 63% of organizations are using Kubernetes for auxiliary infrastructure-related workloads versus 37% for application-only workloads.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

OCTOBER 30, 2023

Without robust log management and log analytics solutions, organizations will struggle to manage log ingest and retention costs and maintain log analytics performance while the data volume explodes. The following best practices aren’t just about enhancing the overall performance of a log management system.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

Dynatrace

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. So, what is artificial intelligence? What is predictive AI?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. Accelerated innovation.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. It focuses on aligning organizational needs with cloud services, balancing performance and cost, and ensuring compliance, security, and effective cost management.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. Dynatrace news. Data confirms Aggarwal’s conclusions. Why modern observability is different.

AWS 213

AWS Cloud Lambda Azure 213

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. Dynatrace news. ” VA’s cloud journey was a long one.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

Scalegrid

FEBRUARY 8, 2024

Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. What is Google Cloud Functions? GCF is part of the Google Cloud Platform. GCF use cases.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Monolithic applications earned their name because their structure is a single running application, which often shares the same physical infrastructure. Let’s break it down.

Cloud 226

Cloud Serverless Hardware Operating System 226

Dynatrace

NOVEMBER 2, 2023

FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. Public, private, and hybrid cloud computing platforms such as Microsoft Azure and Google Cloud provide access, development, and management of cloud applications and services.

Cloud 195

Cloud Strategy Retail Energy 195

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. This scenario has become all too common as digital infrastructure has grown increasingly complex.

Cloud 157

Cloud Monitoring Latency Games 157

Dynatrace

APRIL 22, 2022

At Dynatrace Perform 2022 , Technology Services Manager Thomas Janik and AWS Monitoring SME Matt Gault, both from American Family, explain how they boosted their cloud operations to increase resilience. Dynatrace combines continuous automation and observability into a single, end-to-end platform.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This is one of the most important tasks an orchestration platform performs.

Open Source 301

Open Source Traffic DevOps Cloud 301

Scalegrid

JANUARY 12, 2024

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. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

AUGUST 21, 2023

Based on the W3C open standard Trace Context , OpenTelemetry standardizes telemetry data from multiple sources, so organizations have the capacity to deeply analyze software behavior and performance. Finally, the enriched observability data increases the overall volume of the data, which can affect application performance. “In

Open Source 196

Open Source Analytics Lambda Metrics 196

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. This knowledge is essential for further optimizing the performance and cost of services.

Monitoring 164

Monitoring Latency Metrics Azure 164

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 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 177

Cloud Open Source Architecture Monitoring 177

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

APRIL 17, 2019

If you hadn’t already heard the news, the entire Dynatrace team is immensely proud to once again been positioned as a Leader in the Gartner 2019 Magic Quadrant for Application Performance Monitoring (APM). We believe this recognition is a testament to the company’s drive to constantly innovate and be the best in all that we do.

Innovation 134

Innovation Virtualization Cloud Azure 134

Dynatrace

MAY 31, 2021

However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications. Cloud-native refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure-as-code. What’s missing here?

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. It has helped assure that these applications deliver predictably fast performance and scale to meet the demands of growing workloads.

Ecommerce 52

Ecommerce Cache Scalability IoT 52