Amazon Web Services has announced enhanced support for the open-source distribution of the OpenTelemetry project for its users. AWS Distro for OpenTelemetry (ADOT) now includes support for AWS Lambda layers for the most popular languages and additional partners integrated into the ADOT collector. And one of those partners is Logz.io! Logz.io is happy to announce that our exporter is now included in the AWS Distro for OpenTelemetry.
Automated incident management ensures that critical events are detected, addressed and resolved in a fast, efficient manner. Automation allows incident management tools to integrate with each other and fosters instant communication across the systems. Automation tears down barriers across IT operations (ITOps) teams and ensures all departments are on the same page. Teams gain full visibility into incident status to verify that incidents are addressed by the relevant groups.
During my office hours, I frequently get asked for practical tips on getting started with observability. Often it’s from folks on teams who are already practicing continuous delivery (or trying to get there) and are interested in more advanced practices like progressive delivery. They know observability can help—but as individual contributors—they don’t sign the checks, so they feel powerless to help get their team started with observability.
Finding the right information in Mattermost is critical to work smarter and be more productive. Searching in Mattermost now finds both relevant messages and files in your team’s conversation history. Search will return results for attachments that match the file name or contain matching text content within supported document types. File search is available today in Mattermost Cloud and in Mattermost Self-Managed v5.35 (available May 16), with mobile support coming soon.
On April 15th Moogsoft’s VP Marketing, John Haley, welcomed Datadog Product Manager, Alex Vetras, along with DevOps Institute Chief Ambassador, Helen Beal, and Moogsoft’s CTO, Dave Casper, for an informal roundtable exploring how users can now see rich-context incidents from across the full stack in minutes, and the opportunities this presents to organizations.
The last ten years have seen a massive change in how IT operations and development enable business success. From virtualization and cloud computing to continuous delivery, continuous integration, and rapid application development, IT has never been more complex or more critical to creating competitive advantage. To support increasingly Web-Scale IT operations and wide-scale cloud adoption, applications now operate as services.
Last week we covered the essentials of event logging: Ensuring that all your systems are writing logs about the important events or activities occurring on them. This week we will cover the essentials of centrally collecting these Event Logs on a Window Event Collector (WEC) server, which then forwards all logs to Elastic Security.
During the next two weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!
You have identified a data breach, now what? Your Incident Response Playbook is up to date. You have drilled for this, you know who the key players on your team are and you have their home phone numbers, mobile phone numbers, and email addresses, so you get to work. It is seven o’clock in the evening so you are sure everyone is available and ready to respond, you begin typing “that” email and making phone calls, one at a time.
