Last winter, Flexcity — a market leader in electric flexibility — faced an unprecedented challenge: Help stabilize the French national power grid, in the midst of a widespread energy crisis that loomed over Europe. As a byproduct of the Russian invasion of Ukraine, energy prices in the EU soared in 2022. And France, meanwhile, faced a nuclear power outage that winter that threatened to significantly disrupt its energy supply and increase the risk of electricity shortages.

Of course, one expects an alerting solution to be reliable. This is important because a missed alert can have a significant impact on the business. It is about IT uptime, disruptions in production or other critical system conditions. Business processes, production workflows and therefore money, the reputation of the company or even the health of the employees are at stake. But what does reliable alerting actually mean and how is it achieved?

Microsoft Azure offers a choice of relational and non-relational database services to support a wide range of application needs and demands. Built-in intelligence helps automate management tasks like high availability, scaling, and query performance tuning to provide users with services that ensure applications are always available and performant. Many services offer essentially limitless database scale and SLAs (Service Level Agreements) usually range between 99.9-99.999% availability.

We recently had the privilege of presenting our telemetry data pipelining platform at Cloud Field Day. Today, we'd like to share a recap of our demo with you. In this demo, we explore the transformative potential of data profiling, telemetry pipeline optimization, and incident response. Foundationally, we follow an Understand, Optimize, and Respond workflow.

Returning devices is more challenging in terms of effort while allowing employees to keep them puts data at risk. Is there an optimal solution? Let’s dive deeper and find out.

There are several high-performing database services available on Amazon Web Services (AWS). When you need to handle caching, Online Transaction Processing (OLTP), real-time data, session stores, or personalization, you can choose one of these options. Examples of these high-performance database services include Amazon RDS, Aurora, MemoryDB, DynamoDB, Neptune, and ElastiCache. We often get questions about which AWS database service is best between RDS and Aurora.

It is now the de facto standard for companies to operate across numerous regions and cloud-accounts. The reasons for this vary, and depending on where you sit in the organization, these reasons may be more or less apparent to you.

At CloudZero, we’re in the business of driving positive business change. Whenever we work with a client, our goal is to share insights rooted in our FinOps perspective and platform expertise that helps customers save on cloud costs and build strategies for engineering-led optimizations. Each experience is curated for the clients FinOps maturity stage and unique business goals; that’s what personalized service is all about.

What is the hidden potential of OpenTelemetry? It goes a lot further than the (awesome) application of tracing and monitoring your software. The OpenTelemetry project is an attempt to standardize how performance is reported and how trace data is passed around your microservice architecture. This context propagation is a superpower for those who adopt OpenTelemetry tracing.

Blue Matador is the fastest, easiest way to set up AWS infrastructure monitoring, allowing small teams to fully monitor their cloud operations with no manual setup. If you use Blue Matador for your cloud monitoring requirements, you can integrate it with Squadcast, an end-to-end Incident Response tool, to route alerts from Blue Matador to the right users in Squadcast with ease.