Operations | Monitoring | ITSM | DevOps | Cloud

We hosted our first ever virtual Elastic{ON} Gov Summit with one primary goal: recreate the collaboration and community-building we normally enjoy at our in-person Gov Summit in a new, virtual format. And we were humbled to be able to do just that. The event gathered more than 2,000 registered attendees from across government agencies and partners to collaborate while so many of us were social distancing across the nation.

Today we are proud to announce the next major release of Icinga for Windows: Version 1.1.0. Besides new core features that we added to the Framework itself, we also provide additional components to extend the features of our solution. Thanks to the increased usage in our community we collected lots of feedback that we considered and implemented for better usability and flexibility.

Every day more and more third-party service providers are publishing APIs for their customers to consume, with many of them competing against each other. For instance, with payment APIs, you can use Stripe, Recurly, Chargify, or several others.

Logs are an important part of troubleshooting and it’s critical to have them when you need them. When it comes to logging, Google Kubernetes Engine (GKE) is integrated with Google Cloud’s Logging service. But perhaps you’ve never investigated your GKE logs, or Cloud Logging? Here’s an overview of how logging works in GKE, and how to configure, find, and interact effectively with the GKE logs stored in Cloud Logging.

It’s 3 AM and you are roused out of sleep by the dull buzzing of your phone in the other room. Some sort of emergency, you conclude as you fumble with the lockscreen. There it is: an alert that the API governing user registration is acting up. When we think about the lag between time of incident and time to respond, it’s not just about how long the system went down. How long it physically takes us to respond to the problem also contributes to lost downtime.

REST has reigned for a long time in the world of web services. It’s easy to implement, allows standardization through RESTful patterns and has lots of libraries that support and facilitate its development. Then came GraphQL, the famous query language for APIs.

Network device monitoring with Simple Network Management Protocol (SNMP) gives you complete visibility into the health and availability of your network devices. Monitoring tools conduct periodic checks to gather device status and performance metrics. The device's status is updated only when a check is initiated by the monitoring system in the defined time interval. Any fault that happens in between polls is only captured when the next check is initiated.

Datadog’s AWS integration brings you deep visibility into key AWS services like EC2 and Lambda. We’re excited to announce that we’ve simplified the process for installing the AWS integration. If you’re not already monitoring AWS with Datadog, or if you need to monitor additional AWS accounts, our 1-click integration lets you get started in minutes.

At its core, DevOps is a set of principles. There are certain types of tools and processes that reinforce those principles and put them into practice. But the tools and processes are just a means to an end. The end itself is DevOps principles. Thus, DevOps success boils down to understanding the key DevOps principles, then identifying the tools and processes that enable your team to achieve them.