Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 274

Efficiency Performance Analytics DevOps 274

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. Grail drives insights and decisions that preserve earnings and strengthen balance sheets. Break down data silos.

Analytics 199

Analytics Infrastructure Efficiency Technology 199

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. They are required to understand the full story of what happened in a system.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. Enrich database performance KPIs with business analytics. There’s no need to manually configure necessary metrics or build dashboards.

Database 240

Database DevOps Analytics Servers 240

The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 325

Network Transportation AWS Cloud 325

DZone

JUNE 11, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. Before version 4.0, it could be difficult to efficiently troubleshoot TiDB's system problems.

Database 246

Database Open Source Analytics Architecture 246

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. “We monitor all services that produce metrics in the top three clouds,” he said.

Cloud 170

Cloud Ecommerce Performance Retail 170

Dynatrace

APRIL 13, 2023

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Incomplete.

Analytics 183

Analytics Java Infrastructure Cloud 183

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 203

Cache Azure Infrastructure Monitoring 203

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. We start with data types—logs, metrics, traces, routes. Throw in behavioral analytics, metadata, and real-user data. …

Artificial Intelligence 192

Artificial Intelligence Analytics Cloud Innovation 192

Dynatrace

NOVEMBER 28, 2022

Dynatrace provides AWS Lambda metrics monitoring in less than five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Simplify error analytics. Understand and optimize your architecture. Users can take advantage of the platform features immediately.

Lambda 223

Lambda AWS Serverless Latency 223

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Successful platform adoption requires a platform to be easy to use and integrate with other architectures, applications, and data sources. Teams can use it to instrument frameworks and components and export telemetry data, such as metrics, traces, and logs.

Innovation 195

Innovation Software Software Cloud 195

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service.

Software 262

Software Software Benchmarking Latency 262

Dynatrace

APRIL 7, 2023

Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Organizations will also benefit from the visibility of new metrics directly from the Lambda Stream such as the following: StreamedOutboundBytes.

Lambda 214

Lambda AWS Serverless Latency 214

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model. DQL offers many options for analyzing logs, such as extracting metrics from historical data and charting or visualizing them.

Retail 235

Retail Storage Best Practices Architecture 235

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. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 227

AWS Lambda Artificial Intelligence Serverless 227

The Netflix TechBlog

JANUARY 13, 2022

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. Streaming Pensive Streaming Pensive Architecture Apache Flink powers real-time stream processing jobs in the Netflix data platform.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

JANUARY 22, 2024

The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption.

Artificial Intelligence 206

Artificial Intelligence Healthcare Retail Government 206

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 185

Cloud DevOps Open Source Retail 185

Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. Looking at the key metrics of the deployment does not reveal anything out of the ordinary. This short journey through collected metrics prevented a serious issue and a long bug hunt. Get a holistic overview of your WSO2 API Manager metrics.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.

Artificial Intelligence 174

Artificial Intelligence DevOps Analytics Cloud 174

Dynatrace

APRIL 6, 2022

Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure. Simplify error analytics.

Lambda 165

Lambda AWS Serverless Infrastructure 165

Dynatrace

JULY 30, 2021

Compare releases and look out for architectural regressions by having transactional level version awareness. Having metrics with version information, e.g, Ensure your SLOs are met while rolling out a Canary. Detect problematic Canary deployments quickly and trigger automated remediation. Step 3: SLOs. So – go ahead!

Cloud 231

Cloud Metrics Strategy Monitoring 231

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. In January 2023, Dynatrace released the Carbon Impact app, adding carbon emissions and energy consumption metrics to observability data.

Cloud 207

Cloud Energy Best Practices Cache 207

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. which shows your operational efficiency in your software delivery pipeline.

AWS 245

AWS Efficiency Azure Cloud 245

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

APRIL 6, 2022

Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure. Simplify error analytics.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. SLIs provide the actual metrics and measurements that indicate whether you are meeting your SLO. Dynatrace news.

Metrics 189

Metrics Best Practices DevOps Infrastructure 189

Dynatrace

MAY 7, 2019

They fail to understand the deployment architecture and dependencies and aren’t able to deal with the ephemeral nature of containers. These enhancements include: Integration of the new Kubernetes/OpenShift cluster metrics with custom charting. Universal container-level metrics for resource contention analytics.

Monitoring 202

Monitoring Architecture Metrics Analytics 202

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. In general, you can measure the business value of ITOps by evaluating the following: Usability.

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

JANUARY 28, 2021

To effectively address such warning signs, organizations need to focus on putting observability data into context—mapping and visualizing relationships and dependencies within all collected telemetry data—not only traces, metrics, and logs. Such monitoring data is critical to providing satisfying digital experiences and services to customers.

Traffic 165

Traffic Open Source Servers Cloud 165

Dynatrace

JANUARY 13, 2021

Earned the AI Breakthrough Award for Best Overall AI-based Analytics Company. You get insights into your application from End User Experience to code-level analytics in minutes.” – Telecommunications Consultant. Earned the Top Position in ISG Provider Lens, Cloud-Native Observability Solutions Quadrant. “ Real insights”.

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

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. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says.

Analytics 184

Analytics Innovation Metrics Database 184

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.

Analytics 189

Analytics Software Software Storage 189

Dynatrace

DECEMBER 18, 2020

Agentless RUM, OpenKit, and Metric ingest to the rescue! App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. Now we have performance and errors all covered: Business Analytics. What insights can we gain from usage metrics that we can feed-back to our product management teams?

Analytics 136

Analytics Metrics IoT Monitoring 136

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. By following key log analytics and log management best practices, teams can get more business value from their data.

Best Practices 242

Best Practices Analytics Artificial Intelligence Infrastructure 242