Tag: monitoring

Feed: Recent Announcements. Now you can easily and automatically setup monitoring, alarms and dashboards for your Microsoft Active Directory and Microsoft SharePoint setups running on AWS with CloudWatch Application Insights. CloudWatch Application Insights is a service that helps customers monitor and troubleshoot their enterprise applications running on AWS resources. The new feature adds automatic discovery of Active Directory and SharePoint workloads, determines their underlying EC2 resources and sets up the metrics, telemetry and logs for monitoring their health and wellness. With the new support for Active Directory and SharePoint customers now have an simple path for setting up and managing ... Read More

Feed: R-bloggers. Author: quantixed. [This article was first published on Rstats – quantixed, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. As 2021 draws to a close, it’s time to check back in on a previous post. As a recap, Garmin Connect offered four challenges to run 3 x 505 km and 1 x 505 km, one in each of the four quarters of 2021. Completing all four would mean running 2021 km ... Read More

Feed: Planet PostgreSQL. The recent release of Percona Monitoring and Management 2.25.0 (PMM) includes a fix for bug PMM-6937: before that, PMM expected all monitoring connections to PostgreSQL servers to be made using the default postgres database. This worked well for most deployments, however, some DBaaS providers like Heroku and DigitalOcean do not provide direct access to the postgres database (at least not by default) and instead create custom databases for each of their instances. Starting with this new release of PMM, it is possible to specify the name of the database the Postgres exporter should connect to, both through ... Read More

Feed: MariaDB Knowledge Base Article Feed. Author: . The Transaction Performance Monitoring (TPM) filter is a filter module for MaxScale that monitors every SQL statement that passes through the filter. The filter groups a series of SQL statements into a transaction by detecting 'commit' or 'rollback' statements. It logs all committed transactions with necessary information, such as timestamp, client, SQL statements, latency, etc., which can be used later for transaction performance analysis.The configuration block for the TPM filter requires the minimal filter options in it's section within the maxscale.cnf file, stored in /etc/maxscale.cnf.The TPM filter does not support any filter ... Read More

Feed: Recent Announcements. Amazon CloudWatch RUM is a real-user monitoring capability that helps you identify and debug issues in the client-side on web applications and enhance end user’s digital experience. CloudWatch RUM enables application developers and DevOps engineers reduce mean time to resolve (MTTR) client-side performance issues by enabling a quicker resolution. Amazon CloudWatch RUM is part of CloudWatch’s Digital Experience Monitoring along with Amazon CloudWatch Synthetics and Amazon CloudWatch Evidently. Using CloudWatch RUM, you can view how your applications are performing in near real-time across different geolocations, browsers, and devices, enabling you to optimize their performance. You can use ... Read More

Feed: Planet PostgreSQL. PostgreSQL-14 was released in September 2021, and it contained many performance improvements and feature enhancements, including some features from a monitoring perspective. As we know, monitoring is the key element of any database management system, and PostgreSQL keeps updating and enhancing the monitoring capabilities. Here are some key ones in PostgreSQL-14. Query Identifier Query identifier is used to identify the query, which can be cross-referenced between extensions. Prior to PostgreSQL-14, extensions used an algorithm to calculate the query_id. Usually, the same algorithm is used to calculate the query_id, but any extension can use its own algorithm. Now, ... Read More

Feed: Planet PostgreSQL. A few days ago, a colleague of mine shown to me that a commercial database keeps track of last DDL change timestamp against database objects. I began to mumble… is that possible in PostgreSQL? Of course it is, but what is the smartest way to achieve it? I asked on the mailing list, because the first idea that came into my mind was to use commit timestamps. Clearly, it is possible to implement something that can do the job using event triggers, that in short are triggers not attached to table tuples rather to database event like ... Read More

Feed: Recent Announcements. With Amazon Interactive Video Service (Amazon IVS) you can now monitor the health of your live stream inputs using four new Amazon CloudWatch metrics and two new APIs. These metrics and APIs can help you diagnose and troubleshoot issues with live streams either as they happen or after the streams have ended. You can also use APIs from Amazon IVS and Amazon CloudWatch to embed data into your own dashboard or application. This release brings configuration data from the encoder sending the stream, metrics from the infrastructure receiving the stream, and events from the stream processing pipeline to give ... Read More

Feed: Recent Announcements. Starting today, you can use AWS Lambda with your AWS Transfer Family server to integrate an identity provider of your choice. This results in easier ways to authenticate and authorize your users. Additionally, you can now monitor your file transfers using a centralized CloudWatch metrics dashboard in the AWS Transfer Family Management Console. AWS Transfer Family provides fully managed file transfers over SFTP, FTPS, and FTP for Amazon S3 and Amazon EFS. Today, you have three options for managing identities with AWS Transfer Family – service managed, Microsoft Active Directory (AD) integration using AWS Directory Services, and a custom ... Read More

Feed: AWS Compute Blog. Author: Emma White. This post is written by Nikhil Anand, Solutions Architect  AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch processing jobs on AWS. With AWS Batch you no longer have to install and manage batch computing software or server clusters used to run your jobs. This lets you focus on analyzing results and solving problems, not managing infrastructure. When you use AWS Batch, in the job lifetime, a job goes through several states. When creating a compute environment to run the Batch jobs and submit Batch ... Read More