Sleuth is a deployment tracking tool that gives you a deeper level of insight into your CI/CD workflows by tracking all of your team’s deployment tools from a single dashboard. Sleuth integrates with different components of your deployment pipeline and develops an understanding of your development processes. It can then automatically alert you as to when code is shipping, when manual approvals are needed, and when failures occur.
Amazon SQS is a message queuing service that allows you to send and receive huge numbers of messages from a queue using a simple API. Using Amazon SQS, without setting up any infrastructure, you can have a distributed and fault tolerant queuing system. Since SQS is a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS.
Across the technology and IT infrastructure domain, log files are recognized as often time-stamped files that can virtually record all critical information about events occurring within the purview of your IT network, OS, or other software applications. Some log files are humanly interpretable, while others are largely meant for machines to consume.
Monitoring information that matters to you will often come from disparate sources – whether you are a server engineer, a SQL database administrator, or an application owner wanting a 360 view of your applications’ health. For example, you may want to visualise your server metrics from SCOM alongside historical trends from the SCOM Data Warehouse.
Over the past four days, Grafana Labs' ObservabilityCON 2020 brought together the Grafana community for talks dedicated to observability. We hope you enjoyed all of the sessions, which are available on demand now. (Link to them from the schedule on the event page). The conference wrapped up with predictions and advice from observability experts, lessons in failure, and Grafana Labs team members showcasing ways Grafana and other tools fit into an observability workflow.
Managing large-scale deployments efficiently and resolving issues in a timely manner can be an easy task. What you need is a reliable and agile set of infrastructure monitoring tools for your enterprise IT infrastructure that possesses all the needed features for simple and stress-free management.
A little over 2 months ago, we announced Mattermost Omnibus (beta). Mattermost Omnibus is a new, time-saving approach to installing Mattermost. Since then, we’ve done a massive amount of testing, listened to your feedback, and added new features and options. Today, I’m excited to share some big news. The project is officially graduating from Beta status and is ready for any single-server deployments for use as test, dev and/or production Mattermost servers.
