Operations | Monitoring | ITSM | DevOps | Cloud

Today we released API 2.0, the latest version of TruSTAR’s API-First Intelligence Management Platform. This new version continues our commitment to simplify and streamline intelligence for automation in enterprise security intelligence management, and breaks through long-standing industry limitations around operationalizing data orchestration and normalization.

InfluxDB Cloud offers a transparent usage-based pricing model that only charges users on the work performed, with no minimums or long-term commitments. This puts YOU in charge of what you spend. However, with four separate pricing vectors, it’s not always easy to see exactly where that cost is going, or how to estimate your potential spend based on your data usage.

Managing IT operations is becoming increasingly complex due to the evolution of IT systems, the recent shift to a hybrid workforce, changing client requirements, and many other reasons. This is why IT admins like you need a solution that allows you to deal with these complex ongoing problems effortlessly.

Modern applications are often composed of countless distributed services, which makes it difficult to understand dependencies, isolate bottlenecks, and remediate errors. Datadog APM helps you tackle this complexity by allowing you to search and analyze 100 percent of your traces in real time. But without a dynamic view of your architecture, it can still be challenging to contextualize a specific request without getting lost in the details.

Time flies and Healthchecks.io is already 6 years old. Here’s a quick review of notable recent events and the project’s current state.

Current observability practice is largely based on manual instrumentation, which requires adding code in relevant points in the user’s business logic code to generate telemetry data. This can become quite burdensome and create a barrier to entry for many wishing to implement observability in their environment. This is especially true in Kubernetes environments and microservices architecture.

Transactions are sent when your service receives a request and sends a response, like an API call or a page load. Within each transaction is a series of operations. We built Operations Breakdown to help you, the developer, quickly see how much time was spent in each operation within a transaction. Why? Simple, so you can address the operations with the longest duration and likely causing annoying performance issues for your customer.

Being alerted to an issue with your application before your customers experience undue interruption is a goal of every development and operations team. While methods for identifying problems exist in many forms, including uptime checks and application tracing, alerts on logs is a prominent method for issue detection. Previously, Cloud Logging only supported alerts on error logs and log-based metrics, but that was not robust enough for most application teams.

While unit testing and integration testing can give you insight into the individual functionalities of an application, “at times you need some sort of monitoring or testing mechanism which also simulates a user’s behavior to test how the application would work or look to an actual user in the world,” says Grofers Software Development Engineer Yashvardhan Kukreja. That’s where synthetic monitoring comes in.

If a customer has an issue with any part of Microsoft 365, MSPs just don’t have the native visibility to identify the root cause, let alone respond to and remediate the problem. Most of the time, it’s little more than checking Microsoft’s Service Health status to see if Microsoft knows it’s having a problem.