Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.

Games 165

Games Analytics Innovation Metrics 165

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Architecture 290

Architecture Efficiency Energy Monitoring 290

The Netflix TechBlog

FEBRUARY 14, 2025

This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability. This integration will not only optimize performance but also ensure more efficient resource utilization.

Tuning 166

Tuning Latency Efficiency Storage 166

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Provide metrics for improved site reliability. Lost efficiency. Help systems meet SLAs.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

Scalegrid

FEBRUARY 6, 2025

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 245

Metrics Engineering Energy Tuning 245

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? The stakes are even higher when ensuring every title launches flawlessly.

Traffic 172

Traffic Scalability Strategy Monitoring 172

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 218

Media Storage Processing Cache 218

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Observability: Elevating Logs, Metrics, and Traces! What is Fluent Bit?

Best Practices 279

Best Practices IoT Metrics Storage 279

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 290

Innovation AWS Analytics Storage 290

Scalegrid

FEBRUARY 24, 2025

This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. This leadership ensures that messages are managed efficiently, providing the fastest fail-over among replicated queue types.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Dynatrace

APRIL 4, 2025

Thanks to its structured and binary format, Journald is quick and efficient. It provides unified observability by automatically correlating logs and placing them in the context of traces and metrics. Dynatrace Grail lets you focus on extracting insights rather than managing complex schemas or index and storage concepts.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

Dynatrace

OCTOBER 4, 2022

Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. Lining up traces, logs, and metrics based on user events and timestamps provides the most complete picture of full-stack dependencies. where an error occurred at the code level.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

AUGUST 1, 2022

You quickly realize that it will take ages to fill up the overprovisioned database storage. Two days later, your database runs out of storage in the middle of the night. Therefore, you don’t know your current growth rate and can’t estimate the required storage for keeping the database up and running for the next month.

Storage 246

Storage Database Network Metrics 246

Dynatrace

NOVEMBER 9, 2023

Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient. By integrating Nutanix metrics into Dynatrace, you can gain valuable insights into the performance and health of your Nutanix infrastructure.

Virtualization 246

Virtualization Storage Metrics Monitoring 246

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Metrics, logs , and traces make up three vital prongs of modern observability. Most infrastructure and applications generate logs.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Thus, Grail was born.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. This approach is cumbersome and challenging to operate efficiently at scale. Teams have introduced workarounds to reduce storage costs. Limited data availability constrains value creation.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

FEBRUARY 24, 2025

Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance. Log files using OpenPipeline to extract and transform business data while reducing log management and storage overhead.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions. Cloud storage monitoring.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 253

Latency Storage Strategy Metrics 253

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Cold storage and rehydration. Cold storage and rehydration. Data that organizations may need to access only once a quarter or year can reside in cold storage.

Analytics 246

Analytics Storage Retail DevOps 246

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 305

AWS Efficiency Azure Cloud 305

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Cold storage and rehydration. Cold storage and rehydration. Data that organizations may need to access only once a quarter or year can reside in cold storage.

Analytics 245

Analytics Storage Retail DevOps 245

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. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. The only way to address these challenges is through observability data — logs, metrics, and traces. Your key business objectives will drive your strategy and metrics.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

Dynatrace

JUNE 6, 2023

Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. A full-stack observability platform such as Dynatrace provides easy access to the three key types of monitoring signals — logs, traces, and metrics — in context. This helps to avoid downtime for end users. Automated scaling.

Open Source 246

Open Source Storage Analytics Innovation 246

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 239

Latency Storage Traffic Tuning 239

Dynatrace

SEPTEMBER 28, 2020

Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Getting the problem status of all environments has to be efficient. js framework.

Storage 276

Storage Architecture Tuning Efficiency 276

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

JANUARY 4, 2024

In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Fragmented and siloed data storage can create inconsistencies and redundancies. Causal AI requires real-time updates to the training model.

Government 263

Government Analytics Benchmarking Storage 263

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 264

Retail Storage Best Practices Architecture 264