DZone

JANUARY 8, 2024

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability. Load balancing is a critical component in cloud architectures for various reasons. What Is Load Balancing?

Azure 287

Azure Scalability Traffic Performance 287

Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Improved compliance A better understanding of data security across multiple applications and environments provides a unified view of events and information. This offers two advantages for compliance.

Analytics 220

Analytics Network Hardware Open Source 220

InfoQ

FEBRUARY 1, 2024

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

Scalability 75

Scalability Efficiency Systems Architecture 75

DZone

NOVEMBER 7, 2023

In the labyrinth of data-driven architectures, the challenge of data integration—fusing data from disparate sources into a coherent, usable form — stands as one of the cornerstones. In fact, its enduring relevance is a testament to its robustness and efficiency.

Processing 189

Processing Architecture Technology Technology 189

Dynatrace

APRIL 19, 2024

Pre-built custom dashboards enable the team to share the hourly billing data with development teams, giving them insights into how architecture and design decisions drive costs. These events require triage, analysis, and remediation by the owners of the affected resources.

AWS 209

AWS Analytics Cloud Monitoring 209

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level.

Government 190

Government Analytics Benchmarking Storage 190

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. A PUE of 1.0

Cloud 198

Cloud Energy Best Practices Cache 198

The Netflix TechBlog

NOVEMBER 14, 2023

By the end of this series, we hope you will gain an understanding of how Psyberg transformed our data processing, making our pipelines more efficient, accurate, and timely. Using fixed lookback windows to always reprocess data, assuming that most late-arriving events will occur within that window. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

Engineering 230

Engineering Development DevOps Infrastructure 230

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

JANUARY 23, 2024

Perform serves yearly as the marquis Dynatrace event to unveil new announcements, learn about new uses and best practices, and meet with peers and partners alike. What will the new architecture be? More so than ever before, organizations are investing in cloud migration and cloud modernization to lower total cost of ownership (TCO).

Cloud 201

Cloud Artificial Intelligence Performance AWS 201

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 269

Serverless AWS Lambda Storage 269

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

OCTOBER 4, 2022

Further, these resources support countless Kubernetes clusters and Java-based architectures. Lining up traces, logs, and metrics based on user events and timestamps provides the most complete picture of full-stack dependencies. This can vastly reduce an organization’s storage costs and improve data efficiency.

Analytics 209

Analytics Storage Infrastructure Metrics 209

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. The resulting vast increase in data volume highlights the need for more efficient data handling solutions.

Best Practices 232

Best Practices Analytics Artificial Intelligence Infrastructure 232

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 189

Analytics Infrastructure Efficiency Technology 189

Dynatrace

SEPTEMBER 5, 2023

Running Databases efficiently is crucial for business success Monitoring databases is essential in large IT environments to prevent potential issues from becoming major problems that result in data loss or downtime.

Database 190

Database Metrics Monitoring Servers 190

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 petaflops, which is 0.8% of peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

JANUARY 13, 2022

More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. But the complexity of multicloud platforms and microservices architecture makes it hard to run DevOps efficiently without the aid of artificial intelligence and automation.

DevOps 257

DevOps Speed Artificial Intelligence Innovation 257

The Netflix TechBlog

AUGUST 1, 2022

As the system evolves to solve more and more use cases, we have expanded its scope to handle not only the CDC use cases but also more general data movement and processing use cases such that: Events can be sourced from more generic applications (not only databases). They use different mechanisms to stream events out of the source databases.

Processing 272

Processing Transportation Entertainment Tuning 272

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Visibility of the lifecycle of k8s objects (pods, services, nodes) and associated events is needed. Performance.

Azure 216

Azure Monitoring Operating System Virtualization 216

Dynatrace

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 252

Artificial Intelligence Analytics Metrics Storage 252

Dynatrace

JANUARY 17, 2023

Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Kubernetes workload pages offer resource analysis, lists of services, pods, events, and logs. The same page provides further analysis with workload logs and events.

Analytics 269

Analytics Metrics Open Source Java 269

All Things Distributed

JUNE 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

Scalegrid

MARCH 8, 2024

Executing PITR requires restoring from the full backup and then applying binary log events in sequence up to the desired point in time, with advanced techniques and third-party tools available to optimize large dataset handling and automate the recovery process. It grants access to peer into these logs’ contents.

Database 162

Database Strategy Servers Best Practices 162

All Things Distributed

MAY 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

OCTOBER 16, 2023

The road to modern observability As organizations continue to operate in the cloud, they discover that cloud observability becomes paramount to their ability to run efficiently and securely. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.

Innovation 186

Innovation DevOps Cloud Efficiency 186

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 218

Analytics Social Media Metrics Efficiency 218

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Check back here throughout the event for the latest news, insights, and announcements. Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. What is explainable AI? Enter causal AI.

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently.

Best Practices 179

Best Practices Code Infrastructure Latency 179

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. 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. Enter causal AI.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

OCTOBER 14, 2020

We want to share how Dynatrace helped us identify and fix memory leaks in one of the most central and critical components within Keptn: our event broker. For that reason, we started a simple load-test scenario where we flooded our event-based system with 100 cloud-events per minute. It happened in June 2020. Can we fix it?

Cloud 220

Cloud Development Open Source Monitoring 220