Dynatrace

NOVEMBER 9, 2023

Get ready for Nutanix insights: Here’s how Dynatrace helps The extension comes with a comprehensive set of essential metrics that can quickly identify the root causes of performance issues, saving time and minimizing disruptions. With Dynatrace, Nutanix metrics can be leveraged for various use cases.

Virtualization 182

Virtualization Storage Metrics Monitoring 182

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 252

Artificial Intelligence Analytics Metrics Storage 252

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. The data life cycle has multiple steps from start to finish.

Open Source 208

Open Source Metrics Cloud Transportation 208

Dynatrace

NOVEMBER 6, 2023

But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge. These challenges stem from the distributed and often resource-constrained nature of edge computing. Remote management and automated alerting are, therefore, crucial.

Retail 247

Retail Analytics Storage Metrics 247

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 187

Analytics Processing Transportation Storage 187

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics.

Storage 288

Storage Cache Metrics Database 288

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. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below.

Azure 213

Azure Cloud Metrics Innovation 213

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

MAY 21, 2024

That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Tens or even hundreds of DIY and commercial tools are being used to handle logs, metrics, traces, security events, and vulnerabilities all in their own way.

Technology 193

Technology Technology Analytics Storage 193

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 178

Systems Cloud Analytics DevOps 178

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.

Analytics 209

Analytics Storage Infrastructure Metrics 209

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 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

JULY 1, 2022

Improved license expiration cluster event and e-mail notification content. Storage service upgrade to Cassandra 3.11.13. Starting with Dynatrace Managed release 1.244, configuration and metric storage service was upgraded to Cassandra 3.11.13 Improved email notifications and web UI content.

Operating System 191

Operating System Storage Metrics Systems 191

Dynatrace

MARCH 27, 2024

AWS AppFabric ingests and normalizes audit logs from SaaS applications and delivers them to an Amazon Simple storage service (Amazon S3) bucket in an organization’s AWS account. Running an initial quantitative analysis helps to better understand the log data, starting with which SaaS applications we are getting logs from, and how many events.

AWS 235

AWS Analytics Government Monitoring 235

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Collecting logs, metrics, events, and trace data is great.

Analytics 180

Analytics Software Software Storage 180

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 203

Analytics Storage Retail Monitoring 203

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 Events.

AWS 207

AWS Transportation Network Traffic 207

Dynatrace

APRIL 20, 2023

Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures. “Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

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 171

Analytics Storage Retail Monitoring 171

Dynatrace

AUGUST 9, 2023

With up to 70% of security events going uninvestigated, security analysts need all the help they can get. After a security event, many organizations often don’t know for months (or even years) when why or how it happened. Teams must evolve to continuously create reliable, automated responses based on precise data-driven insights.

Analytics 207

Analytics Metrics Database Storage 207

Dynatrace

OCTOBER 22, 2021

We are changing the pricing for Log Monitoring v2, now ingested log events consume DDU. Removed deprecated endpoints /metrics/series and /metrics/descriptors in favor of /metrics/query and /metrics. Metric and configuration storage database was updated to Cassandra 3.11.11

Metrics 202

Metrics Monitoring Storage Database 202

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 226

Retail Storage Best Practices Architecture 226

Dynatrace

AUGUST 11, 2022

This code is then executed on remote servers in response to an event, such as users interacting with functional web elements. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Many organizations use function as a service when migrating to the cloud or for RESTful and event-driven applications.

Development 239

Development Serverless Best Practices Lambda 239

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. Managed Kubernetes clusters on GKE Autopilot have gained unprecedented momentum among enterprises.

Google 208

Google Cloud Innovation Infrastructure 208

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Therefore, causal AI is a useful deterministic AI technique that provides concrete answers about the source of events, not probabilistic outputs.

Artificial Intelligence 197

Artificial Intelligence Healthcare Retail Government 197

Dynatrace

JUNE 6, 2023

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. Traditional storage solutions were not created to address these requirements, which are common among modern deployments. Containers need to spin up and down easily.

Open Source 181

Open Source Storage Analytics Innovation 181

Dynatrace

APRIL 21, 2022

You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The default values cover a large range of different cluster sizes; you can modify them according to your needs, based on the ActiveGate self-monitoring metrics.

Azure 205

Azure Metrics AWS Monitoring 205

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 187

AWS Cloud Lambda Analytics 187

Dynatrace

SEPTEMBER 13, 2023

Dynatrace AutomationEngine workflows automate release validation using AWS Well-Architected pillars With Dynatrace, you can create workflows that automate various tasks based on events, schedules or Davis problem triggers. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

MAY 26, 2021

To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. Jonah Kowall, CTO of Logz.io, also gave a talk on the topic of “Managing applications SLAs using Traces and Metrics”. What’s next?

AWS 201

AWS Strategy Storage Metrics 201

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Simply put, metrics are the counts and measures that are often calculated or aggregated over time.

Analytics 176

Analytics Innovation Metrics Database 176

Dynatrace

SEPTEMBER 15, 2020

In addition to automatic full-stack monitoring, Dynatrace provides comprehensive support for all AWS services that publish metrics to Amazon CloudWatch, providing advanced observability for dynamic hybrid clouds. We’re therefore excited to announce that Dynatrace has received the AWS Outposts Service Ready designation.

AWS 193

AWS Design Cloud Storage 193

Dynatrace

SEPTEMBER 5, 2023

When predictive AI is combined with a data lakehouse , like Dynatrace Grail, it can deliver value by automatically providing prescriptive insights using data from digital user experience layer to the infrastructure layer with full data context using supporting data, such as relationships, dependencies, and other context within entities and events.

Artificial Intelligence 253

Artificial Intelligence DevOps Analytics Engineering 253

Dynatrace

OCTOBER 20, 2020

To free disk space, log files related to metric and configuration storage, in addition to Elasticsearch log files, are now automatically deleted after two months. The Cluster nodes overview page now displays Dynatrace version and transaction storage size details for each node. Cluster Management Console.

Storage 102

Storage Metrics Systems 102

Dynatrace

MAY 21, 2023

As a result, teams are turning to technologies such as observability to understand events in their cloud environments. Without unifying these silos, teams miss critical context that can lead to blind spots or application problems—problems that compound when there’s a need to investigate security events.

Analytics 221

Analytics Metrics Cloud Systems 221

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. automating ingestion of logs, metrics, and traces and continuous dependency mapping with precise context across hybrid and multicloud environments.

Traffic 204

Traffic AWS Network Cloud 204