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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively.

Analytics 130

Analytics Storage Cloud DevOps 130

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 182

Analytics Innovation Metrics Database 182

Dynatrace

MAY 23, 2022

As the pace of business quickens, software development has adapted. Increasingly, teams release software features more quickly to accommodate customer needs. As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. What is monolithic architecture?

Architecture 192

Architecture DevOps Monitoring Programming 192

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. When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality.

Software 259

Software Software Benchmarking Latency 259

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 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

APRIL 19, 2024

Increasingly, organizations are exploring unified software platforms that eliminate data silos while offering both flexibility and extensibility to safeguard their investments and streamline their diverse tools. Custom solutions come in all shapes and sizes, providing value for customers, partners, and internal Dynatrace users.

AWS 216

AWS Analytics Cloud Monitoring 216

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. New cloud-native technologies make observability more important than ever….

Analytics 154

Analytics Technology Technology Cloud 154

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 272

Efficiency Performance Analytics DevOps 272

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. Dynatrace has made the reference IDP architecture available on GitHub for anyone to use.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. For example, some security incidents have had a widespread, costly impact. For example, some security incidents have had a widespread, costly impact.

Design 188

Design Storage Programming Analytics 188

Dynatrace

JANUARY 22, 2024

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Software development. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

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 183

Cloud DevOps Open Source Retail 183

Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Dynatrace Log Management and Analytics powered by Grail enables you to get answers from logs with any query at any time.

AWS 195

AWS Cloud Lambda Analytics 195

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. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern). Is the solution to just move all workloads to the cloud?

Cloud 205

Cloud Energy Best Practices Cache 205

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. Dynatrace news.

Java 230

Java Traffic Strategy Architecture 230

Dynatrace

JUNE 15, 2023

Incorporating cloud application security practices is an effective way for organizations to avoid application security risks, ensure a smoothly running software development lifecycle (SDLC), and establish an overall strong security posture. However, open source software is often a vector for security vulnerabilities.

Cloud 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Standards are set by the platform engineers and ensured throughout all stages of the software development lifecycle. According to Gardner, teams gradually deliver software to user groups with progressive delivery.

Engineering 179

Engineering Development Infrastructure Cloud 179

The Netflix TechBlog

JANUARY 25, 2023

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Pic 1 below, we have an example of an application which is used by editors to review their work. All data should be also available for offline analytics in Hive/Iceberg.

Scalability 283

Scalability Latency Media Architecture 283

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

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. One of the powerful workflows to leverage is continuous release validation.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. This phase covers bringing your data into Dynatrace software as a service (SaaS) via whichever ingestion channel or method. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model.

Retail 233

Retail Storage Best Practices Architecture 233

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. According to GitLab’s 2021 Global DevSecOps Survey , 36% of respondents develop software using DevSecOps, compared with only 27% in 2020. It does so by creating repeatable, automated software-driven processes.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JANUARY 31, 2020

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Strategic Tech

FEBRUARY 19, 2020

I’ve been disappointed for a long time with the way in which companies organise software development teams. I remember as a young, naive software developer, I assumed there would be structured processes and patterns similar to those used for designing a software architecture. A clear warning sign.

Architecture 64

Architecture Strategy Design Software Architecture 64

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Likewise, the term "architect" didn't enter popular usage to describe a role in the software field until the late 1990s. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Detailed performance analysis for better software architecture and resource allocation. For example, say you find multiple error events in different log files. Fluentd logs in context: Example use cases.

Metrics 176

Metrics Analytics Software Architecture Open Source 176

Dynatrace

JULY 18, 2022

More than 20 leading cloud and operations analytics vendors have added support to their products — including Dynatrace, which is one of the top contributors to the project. OpenTelemetry was purposely conceived to complement — and not compete with — existing analytical tools. The other option is semi-automatic instrumentation. .

Artificial Intelligence 189

Artificial Intelligence Open Source Analytics Monitoring 189

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182