Observability has gained a lot of momentum in the past year, be it full stack observability or data observability. Modern complex IT systems using clouds, microservices and serverless are easy to develop and deploy but extremely difficult to observe. These systems generate tremendous amounts of data and need an automated way of handling the volume. The next era of delivering customer experience is underpinned by the full stack observability capability.

Content Delivery Network produces numerous log files called CDN logs to deliver video across the internet to our homes and mobile devices. These logs contain crucial information about the CDN servers' performance and video streaming quality. Also, it contains terabytes of data, which has its own set of hurdles in terms of handling it in real-time and performing analytics to understand user experience and network concerns.

Consul is a service networking platform from HashiCorp that helps you manage and secure communication between microservices. You can use Consul with Kubernetes, and it supports on-prem, hybrid, and multi-cloud architectures. Consul service mesh provides a control plane which allows you to automate the management of traffic between your services via features like service discovery, DNS, load balancing, and routing.

After the global pandemic and lockdowns, most businesses look onward to online solutions for their applications. They want to take their business online by creating mobile or web applications. Companies are looking to monitor every aspect of the application, including deployment, bugs, API failures, etc. But the most important thing is how the application behaves when it goes into the hands of the end-users.

As most people were preparing to celebrate the new year, the UK’s Santander Bank was dealing with a crisis. On Christmas day, roughly 75,000 people who received payments from companies with accounts at Santander Bank received a duplicate payment transaction. The total damage amounted to £130m, and recovery in these situations is a painful process for both the bank and its customers.

In this tutorial you will learn how to use the Flux query language to enrich time series data stored in InfluxDB by combining it with metadata stored in a relational database.

You need not fear a long-lived streaming workload. A few simple tricks can transform a request that may not ever terminate for hours or days into something you can get regular health and status updates on. We in fact have one of those continuous processing services—Beagle, our Service Level Objective stream processor—which we’ve instrumented in this fashion.

Moving large amounts of data to the cloud can be arduous and time-consuming. A cloud migration would take years if engineers manually moved data from assessment through mobilization and migration phases. An effective cloud migration also requires adequate data encryption, fast data transfer speeds, and constant monitoring. Migrating workloads to AWS requires you to monitor costs in real-time as well to avoid overspending.