Business-critical infrastructure and services generate massive volumes of observability data from many disparate sources. It can be challenging to synthesize all this data to gain actionable insights for detecting and remediating issues—particularly in the heat of incident response.

Site Reliability Engineering (SRE) is a term that’s getting attention and gaining momentum – and for a good reason. SRE takes features of software engineering and applies them to various problems in infrastructures and operations. Organizations look to build SRE teams with a couple goals in mind, including to create and increase scalability and develop solid software systems.

A couple of weeks ago I had the absolute joy of attending KCD Munich for the first time, with my friend and colleague Guy Menahem (whom some of you know simply as The Good Guy on Twitter and YouTube). Besides rooting for Guy and his co-speaker, Arsh Sharma of Okteto, during their session on Backstage.io and IDPs, I enjoyed being untethered from ‘booth duty’ and free to engage with all the beautiful human beings that gathered together for this Kubetastic event!

For developers working in the public sector, leveraging secure version control systems like Git is essential to manage code and web content efficiently and safely. Git simplifies collaborative projects between developers working in fields like government, healthcare, banking, and education, but hey, let’s face it – mastering Git via the command line can be like solving a Rubik’s Cube blindfolded. That’s where a Git GUI comes in handy.

Out of more than 100 services that Amazon Web Services (AWS) provides, Amazon CloudWatch was one of the earliest services provided by AWS. CloudWatch was announced on May 17th, 2009, and it was the 7th service released after S3, SQS, SimpleDB, EBS, EC2, and EMR. AWS CloudWatch is a suite of tools that encompasses a wide range of cloud resources, including collecting logs and metrics; monitoring; visualization and alerting; and automated action in response to operational health changes.

Tech debt is usually one of the most fraught topics on engineering teams. Engineers often feel they aren’t allowed enough time to address tech debt. Product partners wonder why engineers spend so much time working on it—or at least talking about it. “The business” always seems to insinuate that engineers should do less of it, instead focusing on shipping value to customers.

The post-pandemic world has transformed our work habits and the landscape of conducting business. Organizations now take the hybrid approach to work, wherein employees may work from an office, while travelling, or from a remote location. This fundamental shift has accelerated the pace of cloud adoption, as the cloud makes data access possible from anyplace, anytime. But the cloud brings with it a set of complexities that must be managed.