Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 224

Metrics Operating System Tuning Monitoring 224

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. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

APRIL 25, 2023

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 146

Azure Cloud Big Data Virtualization 146

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 243

AWS Efficiency Azure Cloud 243

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 258

Artificial Intelligence Analytics Metrics Storage 258

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. What is predictive AI?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Collecting data requires massive and ongoing configuration efforts.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. However, organizations must consider which use cases will bring them the biggest ROI.

Cache 201

Cache Azure Infrastructure Monitoring 201

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. You have to get automation and analytical capabilities.” We start with data types—logs, metrics, traces, routes. Throw in behavioral analytics, metadata, and real-user data. …

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

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 192

Open Source Analytics Lambda Metrics 192

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. When releasing into production, Gardner said it’s important to think beyond performance metrics.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

FEBRUARY 13, 2020

With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes. Ability to create custom metrics and events from log data, extending Dynatrace observability to any application, script or process.

Performance 232

Performance Analytics Mobile Innovation 232

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 22, 2022

After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. Step 1: Automate AWS metrics ingestion with Dynatrace. Once the accounts are set up in Dynatrace, the system queries Amazon CloudWatch for new metrics every five minutes.

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Dynatrace extends contextual analytics and AIOps for open observability. 9 key DevOps metrics for success.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. This simplifies management and streamlines rollback, roll forward, and updates.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

SEPTEMBER 29, 2021

The “scheduler” determines the placement of new containers so compute resources are used most efficiently. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Networking. Observability.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dotcom-Montior

OCTOBER 19, 2021

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Using a solution like Terraform is more efficient than trying to provision and manage infrastructure, especially with multiple providers. Monitoring & Analytics.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Scalegrid

JANUARY 3, 2020

It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance. It can be used along with a visualization tool like Grafana to easily create and edit dashboards, query, visualize, alert on, and understand your metrics.

Monitoring 164

Monitoring Metrics Servers Database 164

Dotcom-Montior

FEBRUARY 19, 2022

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Using a solution like Terraform is more efficient than trying to provision and manage infrastructure, especially with multiple providers. Monitoring & Analytics.

Engineering 52

Engineering Open Source Programming Monitoring 52

Scalegrid

JUNE 11, 2019

This allows organizations to share resources between public and private clouds to improve their efficiency, security, and performance. with a surprising lead over Azure at 10.8%. Latest PostgreSQL Trends: Most Time-Consuming Tasks & Important Metrics to Track. of all cloud deployments from this survey.

Open Source 55

Open Source Database Cloud Infrastructure 55

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.

Architecture 52

Architecture Cache Azure Storage 52