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 183

Metrics Engineering Energy Tuning 183

Percona

APRIL 14, 2023

How do you know if your MySQL database caching is operating efficiently? Note that unoptimized queries contribute to this by going over/processing more data than necessary, loading them into the caching structure, and often pushing hot data out of it. MySQL does.

Cache 88

Cache Efficiency Database Monitoring 88

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 246

Latency Storage Strategy Metrics 246

Dynatrace

OCTOBER 4, 2022

Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. Each process could generate multiple log entries, adding up to terabytes of data every day. Metrics are often tracked and measured relative to a baseline or threshold.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

MAY 23, 2024

One-click activation of log collection and Azure Monitor metric collection in the Microsoft Azure Portal allows instant ingest of Azure Monitor logs and metrics into the Dynatrace platform. Also, see how to automate this process with bicep and how to automate with Azure CLI.

Azure 221

Azure Cloud Metrics Innovation 221

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 272

Artificial Intelligence Analytics Storage Architecture 272

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. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

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 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 290

DevOps Software Engineering Games Java 290

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 193

Analytics Infrastructure Storage Efficiency 193

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 252

AWS Efficiency Azure Cloud 252

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). Ingest and process.

Retail 242

Retail Storage Best Practices Architecture 242

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. Improving data quality is a strategic process that involves all organizational members who create and use data. The data needs to be appropriate for the questions asked.

Government 205

Government Analytics Benchmarking Storage 205

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. These two processes feed into one another.

Systems 189

Systems Cloud Analytics DevOps 189

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 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. 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.

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

FEBRUARY 1, 2024

It streamlines collaboration and significantly reduces the need for extensive data processing, traditionally required in “war rooms.” Options include expanding the tablespace, setting up automatic space management, or augmenting overall storage capacity to ensure uninterrupted database operations.

Database 189

Database Monitoring Games Metrics 189

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 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 196

Analytics Software Software Storage 196

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

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. But what is AIOps, exactly?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. 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.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud storage monitoring. Cloud monitoring types and how they work.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Percona

NOVEMBER 6, 2023

With Percona Operators , users can easily deploy, monitor, and manage databases orchestrated by Kubernetes, making it easier and more efficient to run databases at scale. Obviously, there are ways to monitor the backup through storage monitoring or Pod status, but why bother if the Operator already provides this information?

Metrics 68

Metrics Monitoring Database Cache 68

Dynatrace

SEPTEMBER 8, 2023

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 274

Database Artificial Intelligence Metrics Monitoring 274

Dynatrace

JUNE 6, 2023

Container orchestration platforms automate daily operations for processes such as the re-creation of failed containers and rolling deployments. Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. This helps to avoid downtime for end users. Automated scaling. Self-healing.

Open Source 198

Open Source Storage Analytics Innovation 198

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. We accomplish this by paving the path to: Accessing and processing media data (e.g. Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming.

Media 290

Media Storage Infrastructure Systems 290

Dynatrace

SEPTEMBER 5, 2023

This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. By analyzing past incidents and performance metrics, predictive analytics helps SREs and DevOps engineers identify areas for improvement. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 267

Artificial Intelligence DevOps Analytics Engineering 267

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail can store and process 1,000 petabytes per day,” Greifeneder explains.

Analytics 191

Analytics Innovation Metrics Database 191

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. The public cloud’s ability to scale efficiently enables ‘cloudbursting’ when demand spikes without requiring businesses to overprovision their own infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. A full list of metrics can be found here and include dimensions such as the following: Packets. Log Metrics.

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Processing logs is now streamlined, enabling customers to enrich log metadata with insightful context that is important for delivering pipelines to single Firehose delivery streams.

Traffic 221

Traffic AWS Network Cloud 221

Dynatrace

FEBRUARY 12, 2024

Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. Davis enables users to go deeper into the details of the underlying processes running on a particular host. An overview of the Dynatrace unified observability and security platform.

Analytics 186

Analytics Artificial Intelligence Engineering Storage 186

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. or above for the checkout process. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Latency 182

Latency Website Traffic Virtualization 182

Dynatrace

JANUARY 11, 2023

In the process, they’re adopting more tools and technologies. Teams derive business metrics from many sources. These tools also lack IT context—an awareness of the systems and processes responsible for the business data. High storage costs. These technologies generate a crush of observability data.

Analytics 194

Analytics Strategy Storage Technology 194

Dynatrace

AUGUST 21, 2023

How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. It’s also being built into Kubernetes.” But one blind spot remained.

Open Source 202

Open Source Analytics Lambda Metrics 202

The Netflix TechBlog

NOVEMBER 29, 2023

Details pertaining to HDR-VMAF exceed the scope of this article and will be covered in a future blog post; for now, suffice it to say that the first version of HDR-VMAF landed internally in 2021 and we have been improving the metric ever since. The arrival of HDR-VMAF allowed us to create HDR streams with DO applied, i.e., HDR-DO encodes.

Open Source 252

Open Source Software Engineering Internet Internet 252