Operations | Monitoring | ITSM | DevOps | Cloud

When it comes to different concepts around data within software development, the concept of ephemeral data is gaining traction. But what exactly is ephemeral data, and why should you care? Ephemeral data is temporary information that exists only for a short period or for a specific purpose. Think of it like a disappearing message or a fleeting snapshot of a moment in time. It offers numerous benefits, including increased privacy, improved security, and greater system efficiency.

We see it often. Too many companies struggle to optimize their cloud costs — whichever platform they use, from Microsoft Azure to Amazon Web Services (AWS) and Google Cloud Platform (GCP). So, in this guide, we are sharing over 20 Azure cost optimization best practices you can apply right away — all in a calorie-free, snackable guide you can read in less than a coffee break.

As businesses migrate to the cloud, monitoring these environments becomes critically important. Digital Ocean is a popular developer choice due to its simplicity and scalability. However, effectively monitoring resources and applications within Digital Ocean can pose unique challenges. Hosted Graphite and Telegraf provide robust solutions for these challenges, allowing users to visualize data, track system metrics in real-time, and troubleshoot issues quickly.

Learn how the OpenTelemetry Operator makes monitoring Kubernetes easier, so you can focus on what matters—keeping your apps running smoothly!

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

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.

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.

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.

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.

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.