Dynatrace

APRIL 8, 2022

It collects, processes, and outputs log files to and from a wide variety of technologies. Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. All metrics, traces, and real user data are also surfaced in the context of specific events.

Metrics 173

Metrics Analytics Software Architecture Open Source 173

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 189

Analytics Processing Transportation Storage 189

Dynatrace

APRIL 8, 2022

It collects, processes, and outputs log files to and from a wide variety of technologies. Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. All metrics, traces, and real user data are also surfaced in the context of specific events.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

FEBRUARY 1, 2024

With multiple database technologies in use, this poses a challenge to DBAs who must observe the different technologies using different management tools. Therefore, organizations increasingly seek a centralized database monitoring solution to identify irregularities and patterns across systems and different technologies.

Database 177

Database Monitoring Games Metrics 177

Dynatrace

JUNE 9, 2023

Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data. Many organizations, including the global advisory and technology services provider, ICF, describe DevOps maturity using a DevOps maturity model framework.

DevOps 177

DevOps Analytics Storage Metrics 177

Dynatrace

OCTOBER 4, 2022

Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Stop worrying about log data ingest and storage — start creating value instead.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. This ease of deployment has led to mass adoption, with nearly 80% of organizations now using container technology for applications in production, according to the CNCF 2022 Annual Survey.

Open Source 185

Open Source Storage Analytics Innovation 185

Dynatrace

FEBRUARY 2, 2022

Dynatrace captures all your data, including host and application metrics, basic-network metrics, real-user metrics, mobile metrics, cloud-infrastructure metrics, log metrics, and much more. Security: Data is stored securely in the Dynatrace cloud (powered by Azure).

Azure 317

Azure Availability Hardware Innovation 317

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes).

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

OCTOBER 17, 2023

This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying.

Retail 229

Retail Storage Best Practices Architecture 229

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Collecting logs, metrics, events, and trace data is great.

Analytics 184

Analytics Software Software Storage 184

Dynatrace

JANUARY 12, 2022

Messaging systems are typically implemented as lightweight storage represented by queues or topics. Now, with technology-specific views, DevOps teams can see messaging system-related anomalies, which significantly simplifies troubleshooting efforts. Easily troubleshoot anomalies with technology-specific views. This is great!

Analytics 180

Analytics Systems DevOps Healthcare 180

Dynatrace

SEPTEMBER 8, 2023

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 263

Database Artificial Intelligence Metrics Monitoring 263

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. Managed Kubernetes clusters on GKE Autopilot have gained unprecedented momentum among enterprises.

Google 212

Google Cloud Innovation Infrastructure 212

Dynatrace

NOVEMBER 20, 2023

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. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Simply put, metrics are the counts and measures that are often calculated or aggregated over time.

Analytics 179

Analytics Innovation Metrics Database 179

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. To achieve this, Dynatrace uniquely creates a data model that represents all detected software components and their interdependencies.

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 200

Artificial Intelligence Healthcare Retail Government 200

Dynatrace

JANUARY 16, 2023

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

Open Source 337

Open Source Java Operating System Programming 337

Dynatrace

JUNE 16, 2020

TIBCO Enterprise Message Service (EMS) is a standards-based messaging solution that can serve as the backbone of any microservices architecture by providing Java Message Service (JMS) compliant communications across a wide range of platforms and application technologies. Captured Metrics. Synchronous storage size. Queue Depth.

Storage 132

Storage Metrics Java Architecture 132

Dynatrace

NOVEMBER 22, 2021

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. And why it matters. Amazon EC2.

Best Practices 204

Best Practices AWS Monitoring Serverless 204

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 196

Monitoring Social Media IoT Metrics 196

Dynatrace

FEBRUARY 12, 2024

In fact, according to recent Dynatrace research, 85% of technology leaders say the number of tools, platforms, dashboards, and applications they use adds to the complexity of managing a multicloud environment. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said.

Analytics 175

Analytics Artificial Intelligence Engineering Storage 175

Dynatrace

JANUARY 11, 2023

In the process, they’re adopting more tools and technologies. These technologies generate a crush of observability data. Teams derive business metrics from many sources. High storage costs. This combination offers rich data management and analytics on top of low-cost cloud storage. Search constraints.

Analytics 182

Analytics Strategy Storage Technology 182

Dynatrace

NOVEMBER 4, 2022

This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. . But these new technologies are becoming increasingly complex to manage, as CIOs in the sector confirm that a single application transaction crosses 41 different technologies. .

Government 147

Government Analytics Cloud Storage 147

Dynatrace

DECEMBER 16, 2022

Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. As organizations continue to operate in the cloud, open technologies become critical. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia.

Innovation 189

Innovation Software Software Cloud 189

Dynatrace

SEPTEMBER 15, 2020

As an Amazon Web Services (AWS) Advanced Technology Partner, Dynatrace easily integrates with AWS to help you stay on top of the dynamics of your enterprise cloud environment?. Dynatrace news. Joshua Burgin, General Manager, AWS Outposts, Amazon Web Services, Inc. What is AWS Outposts?

AWS 195

AWS Design Storage Cloud 195

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. By analyzing past incidents and performance metrics, predictive analytics helps SREs and DevOps engineers identify areas for improvement. Continuous improvement.

Artificial Intelligence 257

Artificial Intelligence DevOps Analytics Engineering 257

Dynatrace

DECEMBER 5, 2023

You’re no longer required to use a single offering or choose from a few instance families; Graviton includes general-purpose and accelerated-computing offerings, plus compute-, memory-, and storage-optimized instances.

Efficiency 259

Efficiency Architecture Energy Monitoring 259

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. See how Dynatrace Log Management and Analytics enables any analysis at any time with Grail technology. Learn more. What is IT automation?

Efficiency 268

Efficiency Performance Analytics DevOps 268

Dynatrace

NOVEMBER 29, 2021

But OpenShift provides comprehensive multi-tenancy features, advanced security and monitoring, integrated storage, and CI/CD pipeline management right out of the box. is built on the most popular Linux container technology, Docker. Access a wide ecosystem of partners with open-source and cloud-native technologies. The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. automating ingestion of logs, metrics, and traces and continuous dependency mapping with precise context across hybrid and multicloud environments.

Traffic 208

Traffic AWS Network Cloud 208

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. The batch job creates a high-level summary that captures some key comparison metrics.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

SEPTEMBER 13, 2023

Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond Using an interactive no/low code editor, you can create workflows or configure them as code.

AWS 240

AWS Efficiency Azure Cloud 240