Operations | Monitoring | ITSM | DevOps | Cloud

Today, in the fast-paced digital world, it’s crucial for organizations to develop websites that provide a seamless web experience to the users. Companies are investing in tools and infrastructure to ensure their site’s performance is monitored constantly and optimized in real time. Loading time is one of the critical components with an impact on the user experience.

Many organizations across the U.K. are tackling the three main factors behind digital transformation: cloud technology, IoT, and employee mobility. However, one downside to increased digitization is how this opens an organization up to the potential for more cyberattacks, which isn’t too surprising when you consider an expanded digital presence equates to an expanded attack surface.

Last month, Catchpoint’s CEO, Mehdi Daoudi, took part in episode 3 of the MIT Sloan CIO Digital Learning Series focused on the post-pandemic workplace and customer experience. Episode 4, which took place over Zoom on Wednesday, September 9th, picked up where last month left off with a candid discussion between business leaders, consultants and MIT academics about the ongoing challenges enterprise is experiencing due to COVID-19 and how business leaders and others are handling them.

Trends in the infrastructure and software space have changed the way we build and run software. As a result, we have started treating our infrastructure as code, which has helped us lower costs and get our products to market more quickly. These new architectures also give us the ability to test our software faster in production-like deployments, and generally deliver more stable and reproducible deployments.

In Part 1 of our Complete AWS Lambda Handbook for Beginners, we gave a refresher on the fundamentals of AWS Lambda and what is AWS Lambda. In this post, we’ll look at AWS Lambda pricing, some interesting Lambda facts and examples of great AWS Lambda use cases in your serverless application.

Most of the applications we see for the ELK stack are from businesses which want to improve their customers' experience. To return relevant search results and to create Kibana dashboards that allow them to analyse data and give the customers what they want. But there are some cases where the customer is always wrong, and where the last thing you want to do is give a site visitor what he wants. Welcome to the world of forensics, compliance and fraud detection.

By even casual observation, you’ll likely have noticed that there are several IP address ranges that are special, including: Anybody can use these “private” ranges for anything they like. But there are actually several other special ranges that have other special purposes. In this article, I’ll explain what they are and the purpose they serve. This is the “loopback” range. These are addresses that are assumed to be on the same device that’s sending the packet.

I have a beef with companies that don’t expose nearly everything their product can do with an API. I get anxious wondering, “why can I only do some of the things via the API? How is this sausage made?” Sure, there are plenty of examples of endpoints that shouldn’t be exposed, such as changing passwords probably should be kept private. Regardless, there are tons of examples of products that I can type in a field in the UI, but that field isn’t available in the API.

Brief introduction to understanding Kubernetes basics Kubernetes is a broad platform that consists of more than a dozen different tools and components. Among the most important are: If you use Kubernetes to manage containers, this will require a container runtime, which is the software that runs individual containers. Kubernetes supports a number of container runtimes; the most popular are Docker, containerd, and cri-o.

Databases like MongoDB, a NoSQL document database, are commonly used in environments where flexibility is required with big, unstructured data with ever-changing schemas. This post explains what a NoSQL database is, and provides an overview of MongoDB, its use cases and a solution for running an open source MongoDB database at scale.