Dynatrace

NOVEMBER 12, 2021

Instrumenting and collecting data using the old approach is not sustainable for this new environment, and the data fidelity of older APM technologies is not fine enough to adequately monitor and analyze these highly complex systems. AI that uses machine learning requires a slower process in order to train its algorithms.

Cloud 172

Cloud Monitoring Network Azure 172

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” Training models and developing complex applications on top of those models is becoming easier. report that the difficulty of training a model is a problem. Or is there still room for growth?

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started This offers not just an audit train but an “audit trail on steroids.”‍A

Open Source 52

Open Source DevOps AWS Azure 52

O'Reilly

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Architecture.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A This offers not just an audit train but an “audit trail on steroids.”‍A Terraform is a revolution in the way we handle infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

Tasktop

JUNE 20, 2019

Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Tasktop unlocks lifecycle data from these application tool silos by automatically compiling modeled lifecycle activity data into a single database. Requirements defined in Jama flow are synchronized as Stories to Jira.

Development 45

Development DevOps Google Innovation 45

The Symphonia

DECEMBER 6, 2017

Monitoring widgets on the console are much better now, e.g. for selecting different time periods. Also, you can drill into logs by selecting a time window (dragging a selection) in any monitoring widget. This makes for a very untidy monitoring tab in the Lambda console, but we’ll deal with that for the extra data. But this year?

Serverless 40

Serverless Lambda AWS Traffic 40

SQL Performance

MAY 7, 2019

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. One other resource for helping you understand waits is an online training course I recorded for Pluralsight – see here. Waits Resources.

Servers 40

Servers Azure Metrics Tuning 40

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. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52