Operations | Monitoring | ITSM | DevOps | Cloud

You’ve heard it before: ‘AI coding assistants aren’t here to replace you.’ And yes, it’s true, they’re not. They’re here to save your brain from 3 AM logic loops and the same bug fixes you’ve solved countless times. As application and database systems become more complex and timelines shrink, forward-thinking developers, data analysts, and DBAs are turning to these tools.

Salesforce integration tools are now foundational to enterprise performance. With the average company managing over 1,000 apps, Salesforce must operate as a unified control layer that governs data, workflows, and customer intelligence across the stack. However, in reality most teams never realize this potential. According to Salesforce, 95% of IT leaders face integration challenges, and more than half say these issues directly block them from meeting customer expectations.

HubSpot connectors are the backbone of modern CRM operations, marketing, and sales. These powerful tools let you break down data silos, sync information across platforms, and build automated workflows. Whether you’re connecting databases, analytics tools, or custom-built systems, HubSpot connector apps can help you get more out of every lead, campaign, and customer interaction. As great as these tools are, not all will work for you.

As your business grows, so will your infrastructure and the number of applications or services running in it. In other words, forget about any sort of manual monitoring or home-grown scripts or tools if you want to keep your sanity. Whether you need performance metrics, service health and availability status, infrastructure, or application logs, you need a tool that will give you end-to-end visibility into the health of your infrastructure.

Kubernetes (K8s) is the most popular container orchestration platform today. But it can also be quite complex. To overcome this management challenge, you can deploy your Kubernetes containers using the Google Kubernetes Engine, which is a fully managed service. Yet, to get the most from GKE, you still need to follow best practices. The following tips and best practices for monitoring GKE clusters will help you get started.

When it comes to network management, there are two challenges that are ever-present; ensuring optimal network performance and maintaining uninterrupted network connectivity. Network admins are the unsung heroes, diligently managing the digital highways that connect the modern world. To maintain the delicate balance between seamless user experience and network reliability, two crucial practices come to the forefront: Network Load Testing and Load Balancing.

We've made major improvements to maintenance window notifications with flexible options that adapt to your communication strategy. Now you have three notification options for every maintenance window: You'll also see how many subscribers will be notified with a detailed breakdown of subscriber counts by channel type (Email, Slack, Teams, etc.), giving you complete visibility into your communication reach before sending.

When using Percepio TraceRecorder, kernel objects like queues, semaphores and mutexes are named using their address by default. This can be a bit hard to follow for complex traces. However, it is quite easy to set more descriptive custom names for your RTOS kernel objects. This by calling the “SetName” functions (or macros) found in the TraceRecorder API, for example: The first argument is the pointer to the object (i.e. the object address).

After four years. Hundreds of meetings and conversations. Countless forms and paperwork submissions… …We’ve done it. SquaredUp is finally, officially B Corp certified We can now say that we are part of a unique global movement – and we couldn’t be more proud, excited, and motivated for our journey ahead.

In Kubernetes environments, cost is rarely just about spend. It’s about performance, node utilization, workload behavior, and how all of those align with your team’s operational goals. Komodor’s approach to cost optimization has an operational advantage due to its deep visibility into your entire Kubernetes estate. Imagine the potential for cost optimization when you have complete visibility into every aspect of your Kubernetes operations.