Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Specialized Unified Analysis page.

Technology 219

Technology Technology Metrics Infrastructure 219

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. PC, smartphone, server) or virtual (virtual machines, cloud gateways). One of the key advantages of DEM is its versatility. Primary digital experience monitoring tools.

Monitoring 206

Monitoring Social Media IoT Metrics 206

Dynatrace

MAY 5, 2021

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” For example, improving latency by as little as 0.1

Benchmarking 185

Benchmarking Latency Speed Software 185

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 190

Analytics Infrastructure Storage Efficiency 190

Dynatrace

DECEMBER 2, 2021

Cloud-native software and its supporting tools and infrastructure generate a diversity of metrics and data points every second that indicate a system’s state and performance. Gathering and analyzing metrics over time will help you determine the overall effectiveness of your SLOs so you can tune them as your processes mature and improve.

Metrics 193

Metrics Best Practices DevOps Infrastructure 193

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 201

AWS Cloud Lambda Analytics 201

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Kubernetes makes spans longer,” Ortner explains.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. What is log analytics? Dynatrace news.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

JANUARY 4, 2024

But while OpenTelemetry solves the problem of standardizing data instrumentation, the complexity and scale of cloud-native tools and environments mean that organizations still struggle with OpenTelemetry service observability. OpenTelemetry is also useful for getting a handle on all the third-party libraries and services an organization uses.

Metrics 169

Metrics Open Source Tuning Infrastructure 169

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. Dynatrace PurePath 4 extends automatic distributed tracing to OpenTelemetry and the latest cloud-native technologies. Automatic topology analysis. Technical complexity has shifted from the actual code to the interdependencies between services.

Analytics 157

Analytics Technology Technology Cloud 157

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability.

Operating System 207

Operating System Energy Infrastructure Architecture 207

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 292

Cloud Open Source Internet Internet 292

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. This is a crucial factor for all data centers, cloud or managed, where power consumption and cooling costs are reflected in the total cost of ownership.

Efficiency 268

Efficiency Architecture Energy Monitoring 268

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. Log data analysis. Cloud Foundry transition to Settings 2.0. Problem detection and analysis. Autonomous Cloud. Cloud Automation. Generic root cause analysis rules now also consider closed events as they might explain the root cause of a problem. (APM-360327).

Azure 218

Azure Metrics AWS Monitoring 218

Scalegrid

OCTOBER 7, 2019

In this latest trends report, we analyze the most popular cloud providers for PostgreSQL, VACUUM strategies, query management strategies, and on-premises vs. public cloud use being leveraged by enterprise organizations. Most Popular Cloud Providers for PostgreSQL Hosting. of PostgreSQL cloud use compared to 55.0%

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

OCTOBER 8, 2020

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda.

Lambda 297

Lambda AWS Programming Serverless 297

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. Observability for heterogeneous cloud-native technologies is key. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

Java 236

Java Traffic Strategy Architecture 236

Dynatrace

DECEMBER 15, 2020

We’re therefore excited to see that AWS has adopted the OpenTelemetry standards, which are actively driven by Dynatrace and the largest cloud providers. It has undergone security analysis and testing in accordance with AWS requirements. Stay tuned for more news about the availability of trace ingest in the coming months.

AWS 178

AWS Metrics Analytics Government 178

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. CORE The CORE team uses Python in our alerting and statistical analytical work. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

JUNE 9, 2021

Software Composition Analysis (SCA) analyzes applications to detect open-source software (OSS) and third-party components known to have security vulnerabilities or licensing restrictions. Developers include an IAST agent inside each application, and the agent conducts runtime analysis of the application code, memory, and data flow.

Open Source 182

Open Source Entertainment Tuning Internet 182

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle.

Metrics 151

Metrics Open Source Tuning Analytics 151

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. And that’s where Dynatrace OneAgent comes in. What is OneAgent?

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

JANUARY 19, 2021

across hybrid and multi-cloud environments?. Actionable analytics across the?entire While adjusting to dynamic cloud-native environments, teams can determine?the This service flow shows that the Weather express microservice depends on a specific Lambda function that fetches real-time weather data from a public cloud provider.

Lambda 211

Lambda Serverless AWS Mobile 211

Dynatrace

NOVEMBER 27, 2020

Our metric exporters allow for ingestion of OpenTelemetry-instrumented custom metrics into the Dynatrace open analytics and AI platform, giving you precise and actionable analytics across the entire software life cycle. The resulting usage statistics are ingested into the Dynatrace platform for further analysis.

Metrics 141

Metrics Open Source Lambda Serverless 141

Dynatrace

MAY 15, 2020

This is especially true when we consider the explosive growth of cloud and container environments, where containers are orchestrated and infrastructure is software defined, meaning even the simplest of environments move at speeds beyond manual control, and beyond the speed of legacy Security practices. Showing a list of key processes.

Government 228

Government DevOps Infrastructure Network 228

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Netflix TechBlog

JANUARY 10, 2024

Complexity Analysis Service (CAS): The optimal encoding recipe is highly content-dependent. This service takes a mezzanine as the input and performs analysis to understand the content complexity. The service also provides options that allow fine-tuning latency, throughput, etc., depending on the use case.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

JUNE 6, 2019

contributed the containerd container runtime to the Cloud Native Computing Foundation (CNCF) in 2017. The CNCF introduced the dedicated category Observability and Analysis to their project landscape to cover all things related to the monitoring of cloud-native stacks. So stay tuned. Dynatrace news. Docker, Inc.

Monitoring 165

Monitoring Tuning Metrics Analytics 165

Dynatrace

DECEMBER 9, 2020

Confidence for a safe release is provided by more validation of how the changes impact quality, for example, before deploying to production or with impact analysis during blue/green deployments. This helps to perform dynamic what-if analysis with different timeframes and to look back in time.

Metrics 152

Metrics Engineering Google Monitoring 152

O'Reilly Software

APRIL 4, 2018

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52