Operations | Monitoring | ITSM | DevOps | Cloud

The Sentry Terraform Provider is an open-source project built and maintained by a community developer and officially sponsored by Sentry. You can find more information on the Terraform Registry and in this GitHub repository.

Building, testing, and monitoring applications in the cloud is a unique challenge. While many organizations have embraced a DevOps methodology, their DevOps machine is still not at the level of maturity they might like it to be. According to a recent survey, 53% work on a team with a 'low level' of DevOps based on maturity factors.

Sumo Logic is proud to announce that, in collaboration with AWS, we now fully support Virtual Private Cloud (VPC) Flow Logs ingestion via Amazon Kinesis Data Firehose. Customers can now simplify log delivery to Sumo Logic which is natively integrated with Kinesis Data Firehose. You can also simplify your toolchains for aggregating, transforming and enriching VPC Flow Logs using Kinesis Data Firehose.

I'm excited to announce that Splunk Data Manager now supports onboarding of Google Cloud Platform (GCP) data sources, effective immediately. With this launch, you can now get the benefits of Splunk data analysis for the high-value events generated by Google Cloud when you onboard GCP data sources into Splunk using Data Manager.

Hot summer days mean beautiful weather for picnics, pool days, and trips with the family. While you’re out this summer enjoying the sun, leave your laptop and backpack behind, because with Splunk Mobile, you’ll always be ready to access dashboards or receive alerts no matter where you are. The new features announced this year at.conf22 let you do even more from the comfort of your pool chaise!

Amazon Web Services (AWS) recently announced the ability to publish VPC Flow Logs directly to Amazon Kinesis Data Firehose. For Splunk customers, this feature helps to optimize the architecture to send VPC Flow Logs directly to Splunk Enterprise or Splunk Cloud Platform. With a fully managed service like Amazon Kinesis Data Firehose, users don’t have to worry about scaling, and can optionally transform their data in near real-time and enjoy the cost-effective, reliable service.

As I’ve written about before, Epinio is built to be very flexible. In this blog, I will highlight several places we can hook into the rest of your existing infrastructure to give you a better experience. If you’re new to Epinio, it’s the application development engine for Kubernetes that lets you to go from code to URL in one step.

Not many companies will tell you why you shouldn’t use their product, but any product that tries to be everything to everyone is doomed to failure. When you build without a specific user in mind, your target becomes the intersection of many viewpoints, and what you build is the lowest common denominator. What usually follows is software that can technically do everything, but feels unfocused, complex, and unpleasant to use. Something everyone is equally unhappy with.

HTTP is the backbone of all API-centric, modern web apps. APIs are the place where the core business logic of an application lives. As a result, developers spend a lot of time optimizing the API business logic. This article addresses a Node.js developer’s dilemma while debugging an HTTP API request. We take a sample Node.js/Express.js-based HTTP service to demonstrate a new way of debugging Node.js applications using the Lightrun observability platform.

For years, Chromatic managed virtual servers on behalf of our clients. As tools like Upsun matured, our team realized we were spending much of our clients’ budgets on simply maintaining those servers—instead of making their sites better (which is kind of our reason for existing).