New technology presents itself as a difference-maker. Every new application has the power to streamline routine tasks or faulty systems. But a dose of reality can damper the hype, as the Iowa caucuses app did this week. Instead of hope and hype, they inspire doubt and maybe scorn. With democracy, there is also a fear that we don’t control our own votes—hackers or foreign powers might be trying to steal the results for their own reasons.

You might be on the move. You might be breaking into the field. You might be trying to level up with your next gig. You might be ready for a manager’s role. Regardless of the reason, you are wondering what you need to re-study for your job interviews and “homework” assignments. Even with years of experience, every new gig expects you to answer different kinds of DevOps interview questions.

Let’s face it—distributed streaming is an exciting technology that can be leveraged in many ways. Use cases include messaging, log aggregation, distributed tracing, and event sourcing, among others. Distributed streaming can result in significant benefits for companies that choose to use it, but, when not implemented correctly, it can initiate a frustrating technical debt cycle. How do you know if you’re properly implementing Kafka in your environment?

2020 is here and it looks like it’ll be a truly exciting and impactful year for the DevOps community. As you know, the landscape is changing rapidly, and as a result, new technologies and methodologies are emerging to solve challenges you’re experiencing on the job. Observability is one such concept–and achieving it is a huge challenge for software engineers across the globe.

Redis is an extremely fast NoSQL data store. While it is used mainly as a cache, it can be applied to uses as diverse as graph representation and search. Client libraries are available in all of the major programming languages, and it is provided as a managed service by all of the top cloud service providers. For the past three years, Redis has been named the most loved database by the Stack Overflow Developer Survey.

2020 is finally here — and with the dawn of this new decade comes cutting-edge advancements to our platform as well as more opportunities to meet up and receive feedback from customers and community members at events around the world.

Cloud migration is more than just a buzzword. According to several reports released at the beginning of 2019, almost 70% of enterprise organizations are moving their applications and infrastructure from local, self-managed hardware to one of the big cloud providers. Multiple case studies have been written about companies like Spotify, Dropbox, Gitlab, and Waze, all of which have replaced their core business infrastructures with cloud data centers.

Prometheus and Grafana are two monitoring tools that, when combined, provide all of the information DevOps and Dev teams need to build and maintain applications. Prometheus collects many types of metrics from almost every variety of service written in any development language, and Grafana effectively queries, visualizes, and processes these metrics.

We recently wrote a blog with Julien Dubois, a Java Developer Advocate from Microsoft, on how to simplify logging for Spring Boot applications. This is a small preview. Spring Boot is an open source Java framework that makes it easier for developers to create microservices. Azure just announced Azure Spring Cloud, which will help Java engineers on Azure developer Java microservices faster. This blog explores how to simplify logging for Spring Boot applications.