Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. 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. Configuration API for AWS and Azure supporting services. New features and enhancements. Dashboards.

Azure 246

Azure Metrics AWS Monitoring 246

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. You’ll benefit from serverless computing when: Authenticating users (for example, Okta , Azure Active Directory ).

Serverless 246

Serverless Efficiency Lambda Azure 246

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Although this can be somewhat helpful, it is not the same.

Azure 96

Azure Database Tuning Network 96

Dynatrace

SEPTEMBER 29, 2021

For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Watch webinar now!

Open Source 334

Open Source DevOps Traffic Cloud 334

Dynatrace

NOVEMBER 17, 2020

The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP).

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. billion in 2020 to $4.1 More automation.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action. SLO validation – ?Automatically

Software 246

Software Software Open Source Azure 246

Dynatrace

NOVEMBER 25, 2019

Jenkins, XebiaLabs, Azure DevOps, AWS CodePipeline, keptn); how to automate monitoring roll-out , tagging best practices and dashboard creation as well as setting up SLA monitoring through synthetics. We’ll cover Request Attributes , calculated Service Metrics , and using Dynatrace Events API to deliver notifications on test cycles.

DevOps 47

DevOps Software Software Best Practices 47

Dynatrace

AUGUST 28, 2019

Observability is divided into three major verticals—metrics, logs, and distributed traces—the so-called three pillars of observability. 1) Metrics. As a full-stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Dynatrace news. 2) Distributed traces.

Metrics 203

Metrics Monitoring Azure Code 203

Dynatrace

FEBRUARY 10, 2021

This enables you to easily make use of the more than 2,000 out of the box metrics provided by Dynatrace as well as bringing in your custom metrics and data ingest. These metrics are then evaluated against business-level objectives (BLOs) and SLOs to ensure end-user Service Level Agreements (SLAs) are always in compliance.

Cloud 242

Cloud DevOps Speed Metrics 242

Dynatrace

JULY 16, 2021

To harness the power of this Git repo, we can connect it to a Git repo residing in your Git service of choice, e.g., GitHub, GitLab, Azure, Bitbucket, and more. Automatically configure Dynatrace, e.g., dashboards, management zones, metrics. Stay tuned, stay connected, stay healthy!

DevOps 246

DevOps Open Source Cloud Azure 246

Dynatrace

FEBRUARY 9, 2021

All technologies and extensions provide or permit additional contexts, like user sessions and experience, interdependencies between components, or code-level information in addition to the three pillars of observability (traces, metrics, and logs). So please stay tuned for updates. .

Software 221

Software Software Technology Technology 221

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 243

Metrics Database Monitoring Network 243

SQL Performance

JULY 11, 2019

Last year, I got together with one of my dev teams at SentryOne – they call themselves the SQL Injectors – to talk about the possibility of replicating Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET or better).

Azure 90

Azure Servers Tuning Operating System 90

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. Cloud platforms are fully virtualized and, consequently, highly automated.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

SQL Performance

AUGUST 15, 2019

Last year, I got together with one of my dev teams here – they call themselves the SQL Injectors – to talk about the possibility of replicating SentryOne Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET

Azure 50

Azure Servers Tuning Operating System 50

O'Reilly

MARCH 11, 2025

And they can do useful work, particularly if fine-tuned for a specific application domain. Amazon Web Services, Microsoft Azure, Google Cloud, and many smaller competitors offer hosting for AI applications. The same model will run in the cloud at a reasonable cost without specialized servers.

Artificial Intelligence 61

Artificial Intelligence Infrastructure Government Open Source 61

Scalegrid

MARCH 22, 2024

Consistently evaluating and tuning resource allocations based on use patterns helps prevent overprovisioning and reduces unnecessary expenses. Employing tools like: Terraform Apache OpenStack Kubernetes OpenShift Azure Arc Google Anthos are essential for deploying multi-cloud environments efficiently.

Strategy 130

Strategy Cloud Government Innovation 130

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Focus on Application Development. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

SQL Performance

MAY 7, 2019

The overall set of metrics of how many threads have waited for which resources and for how long on average is called wait statistics. You can also get wait statistics using the Server Reports add-in to the new Azure Data Studio tool, and using Query Store from SQL Server 2017 onwards. Wait Statistics. Waits Resources. No problem.

Servers 40

Servers Metrics Azure Tuning 40

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speakers: Wafae Bakkali, Isha Dua

AWS 52

AWS Energy IoT Best Practices 52

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