Have you ever been in the middle of an important video call, only for it to glitch or freeze out of nowhere? Or did an application suddenly slow down right when you needed it most? These frustrating moments can often be caused by something hidden in the background: packet bursts. But what exactly are packet bursts, and why do these sudden surges in data traffic catch you off guard when your network seems steady? Are they just random spikes in the data flow, or is there something deeper causing them?

The sheer volume of data and the need for fast, accurate troubleshooting can overwhelm even the most experienced network operations center (NOC) teams. Stress levels increase when response times lag — as do costs, customer frustration, and risks to revenue. AIOps can help. Deploy AIOps to automate data analysis and correlate alerts in real time, filter alerts to reduce noise, and pinpoint incident root cause faster than traditional methods.

Applications today are more portable and distributed than ever before. We’re witnessing businesses accelerate their migration to cloud-based infrastructure and software as a service (SaaS). Yet, amid this cloud adoption wave, a noticeable “cloud exit” trend is emerging as organizations seek an optimal balance between cloud and on-premises infrastructure.

When your system shows a "no healthy upstream" error, it usually means your load balancer can't connect to any of your backend servers. Let's get straight to fixing this problem.

Our production services run on a Linux machine using Docker Compose, keeping our infrastructure simple and manageable. Docker Compose allows us to easily define and manage multi-container applications, providing a straightforward way to orchestrate services, which helps reduce complexity in our infrastructure. Recently, we decided to switch to SigNoz to gain more flexibility and control over our observability stack. Following the SigNoz setup guide, we used logspout to collect and forward logs.

As your IT environment scales, a proactive approach to monitoring becomes increasingly critical. If your infrastructure environment contains multiple service dependencies, disparate systems, or a busy CI/CD application delivery pipeline, overlooked anomalies can result in a domino effect that leads to unplanned downtime and an adverse impact on users.

AWS Lambda supports nearly any programming language by enabling developers to run serverless functions with either supported or custom runtimes. Once a runtime is deprecated, however, AWS will set dates for when you can no longer create or update functions using that runtime. You will then need to decide what course of action to take to ensure your Lambda functions continue running as expected.

Golden Signals—latency, traffic, error rate, and saturation—help SRE teams monitor system health and avoid costly performance issues.