Operations | Monitoring | ITSM | DevOps | Cloud

Creating just any infrastructure on Kubernetes is not enough. There are so many basic configurations you could apply and create the infrastructure for your application for the time being and it might work just fine. The incident responses won’t always remain 100% reliable. You will run into newer potholes, and that’s okay.

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.

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.

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.