DZone

SEPTEMBER 14, 2023

Such a gigantic log analysis system is part of their cybersecurity management. From an architectural perspective, the system should be able to undertake real-time analysis of various formats of logs, and of course, be scalable to support the huge and ever-enlarging data size.

Analytics 124

Analytics Storage Architecture Scalability 124

Dynatrace

APRIL 5, 2024

With the Dynatrace platform, which report author Ron Williams describes as “an all-in-one observability, security, analytics, and automation platform for cloud-native, hybrid, and multicloud environments,” all your data is stored in one massively scalable data lakehouse. The report offers a better understanding of the observability landscape.

Cloud 232

Cloud Analytics Monitoring Scalability 232

Dynatrace

OCTOBER 22, 2019

This is why threads are often the source of scalability as well as performance issues. Thread dumps are now a thing of the past; the future belongs to 24×7 continuous thread analysis. Identify and solve performance bottlenecks faster with continuous thread analysis. Use case #1: Identify scalability issues.

Java 102

Java Scalability Hardware Architecture 102

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

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. Next you can start using logs in your troubleshooting and analysis tasks.

Operating System 201

Operating System Energy Infrastructure Architecture 201

Percona

OCTOBER 20, 2023

You can read part one here: Scalable Solutions With Percona Distribution for PostgreSQL: Set Up Three PostgreSQL Database Instances. Check the “ Scalable Solutions with Percona Distribution for PostgreSQL (Part 1) ” blog post to set up three nodes.

Scalability 94

Scalability Database Open Source Systems 94

Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. The entire topology is built on Dynatrace based on the components it finds configured on your IBM i system, all acting cohesively to accelerate root cause and impact analysis. Nothing is installed on your IBM i systems.

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

High Scalability

OCTOBER 19, 2018

dweis : I'm an actual author of Protocol Buffers :) I think Sandy's analysis would benefit from considering why Protocol Buffers behave the way they do rather than outright attacking the design because it doesn't appear to make sense from a PL-centric perspective. ” -Larry Tesler.

Internet 123

Internet Internet Scalability Lambda 123

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. Additionally, a unified log management solution can help to automate many of the tasks associated with log management, such as correlation and analysis.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

Dynatrace

FEBRUARY 12, 2024

Today’s organizations flock to multicloud environments for myriad reasons, including increased scalability, agility, and performance. A visual representation of what Davis uses for its own analysis. However, these environments can drown enterprises in data, forcing them to adopt multiple tools and services to manage and secure it.

Analytics 178

Analytics Artificial Intelligence Engineering Storage 178

DZone

JUNE 7, 2023

ERP systems enhance collaboration, streamline workflows, automate tasks, and provide robust data management and analysis capabilities. They contribute to efficiency, scalability , and improved decision-making, making them indispensable in modern software development.

Systems 169

Systems Software Software Development 169

The Netflix TechBlog

MARCH 5, 2019

Challenges & Opportunities in the Infra Data Space Security Events Platform for Anomaly Detection How can we develop a complex event processing system to ingest semi-structured data predicated on schema contracts from hundreds of sources and transform it into event streams of structured data for downstream analysis?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

DECEMBER 5, 2023

Without an observability platform to collect and process signals, and provide AI-powered answers for problem detection, root cause identification, and impact analysis, the migration to ARM remains only a roadmap item for many AIOps teams. In the following example, a synthetic monitor is set up for webpage uptime monitoring.

Efficiency 262

Efficiency Architecture Energy Monitoring 262

Dynatrace

JANUARY 5, 2022

To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Each step is automated from provisioning infrastructure to problem analysis. Test Result Analysis.

Testing 214

Testing Open Source Metrics Infrastructure 214

The Morning Paper

SEPTEMBER 24, 2020

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., Static analysis is a key component of many quality and security analysis tools. So they would definitely benefit from the kinds of reassurances that static analysis can bring. PLDI’20.

Java 80

Java Cache Benchmarking Programming 80

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Dynatrace is a platform that satisfies all these criteria. Learn more about the pillars of modern observability in this e-book.

Efficiency 210

Efficiency Virtualization Hardware Performance 210

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. After replaying the requests, this dedicated service also records the responses from the production and replay paths for offline analysis.

Traffic 339

Traffic Latency Tuning Systems 339

DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 141

Data Engineering Infrastructure Engineering Code 141

Scalegrid

DECEMBER 21, 2023

This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 7, 2021

Scalability. Finally, there’s scalability. Amazon S3: The Simple Storage Service stores and retrieves data from anywhere with scalability, data availability, security, performance, and a high degree of durability. Serverless solutions are also more reliable than their traditional application counterparts.

Serverless 276

Serverless AWS Lambda Storage 276

Dynatrace

OCTOBER 17, 2023

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 233

Retail Storage Best Practices Architecture 233

Dynatrace

JULY 18, 2023

Similarly, observability provides detailed telemetry about the database performance that applications like ArcGIS depend on, including the health of the underlying infrastructure, the state of the database instance, and deep-dive analysis of each database statement and its performance.

Government 215

Government Infrastructure Monitoring Database 215

Dynatrace

MAY 3, 2024

With this out-of-the-box support for scalable data ingest, log data is immediately available to your teams for troubleshooting and observability, investigating security issues, or auditing. When doing proactive health checks or analysis, you can inspect log data in Notebooks.

Cloud 214

Cloud Lambda AWS Analytics 214

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Grail solves this scalability issue! Dynatrace has used Davis for many years and is leveraging its power for root cause analysis, identifying security risks, and many other use cases.

Analytics 226

Analytics Social Media Metrics Efficiency 226

High Scalability

DECEMBER 16, 2022

This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency. Cloud computing has become a widely-used model of computing, as it offers a number of benefits over traditional, on-premises computing systems.

Cloud 201

Cloud Serverless Internet Internet 201

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

AUGUST 9, 2023

This approach addresses classic security-driven log analysis and SIEM use cases, and includes threat hunting and looking for anomalies or IoCs. Observability (runtime) context : Utilizing contextualized observability data, you can combine traces, logs, and metrics with security events using AI-driven analysis.

Analytics 215

Analytics Metrics Database Storage 215

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail — blog Log management and analytics are key to any company’s observability strategy. Digital transformation shows no signs of slowing down. What is IT automation?

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

FEBRUARY 1, 2024

They offer unmatched flexibility and scalability to meet the fluctuating demands of the market. With a single click, the dashboard shows an analysis of logs and metrics for a selected resource in its appropriate context, making it easier to understand the complexities inherent in cloud infrastructure.

Cloud 201

Cloud Strategy Metrics Government 201

Dynatrace

JUNE 9, 2023

Increasing an organization’s DevOps maturity is a key goal as teams adopt more cloud-native technologies, which simultaneously makes their environments more scalable and feature-rich but also more complex. There’s also a potential scalability challenge with metrics in the context of microservices architectures.

DevOps 180

DevOps Analytics Storage Metrics 180

Dynatrace

AUGUST 30, 2023

Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting. Service Insights via Method Hotspots The Method Hotspot view is typically accessed from a distributed trace or unified service analysis screen.

Google 216

Google Cloud Innovation Infrastructure 216

Dynatrace

APRIL 7, 2023

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 212

Lambda AWS Serverless Latency 212

Dynatrace

JULY 29, 2021

By adding information about dependencies between entities, Dynatrace enables seamless navigation across all data, in context, with explorative analysis of the cause-and-effect service chain. How can we optimize for performance and scalability? Does a certain issue impact a specific service?

Analytics 246

Analytics Open Source Serverless Architecture 246