Operations | Monitoring | ITSM | DevOps | Cloud

Consider what happens if digital apps or services go down. Companies lose revenue, decrease productivity, compromise customer loyalty and the list of repercussions goes on, depending on the business. Indeed, modern business continuity is contingent on a well-functioning suite of consumer and commercial apps and services.

Having enough time available is a struggle we all experience. Technological innovations enable us to develop and deploy software at lightning speed: Sometimes we can push more to production than our organizations’ IT environments can handle. At the same time, we want to increase customer satisfaction by reducing downtime. But how are you going to keep customer satisfaction rates high if a large majority of incidents are caused by changes?

When developing container-based services that will be orchestrated by Kubernetes, Terraform is an essential part of your artifact ecosystem. These infrastructure-as-code configuration files help automate the provisioning and maintenance of the cloud environments where your K8s applications will run. That’s why it’s great news that you can now store your Terraform modules, providers, and remote state files in Artifactory as a part of your software supply chain.

We may not always know what is happening behind the scenes when we add a dependency to our projects. We expect this process to “just work” to carry on building applications. Little we may know about the level of commitment from maintainers and the amount of work needed to have everyone seamlessly use a library. Let’s hop in backstage to discover the unique way Blackfire releases its Python binaries.

Bringing the best software solutions to market as quickly as possible requires using automation to facilitate repetitive tasks (e.g., testing) so you can spend more time writing high-quality code. This is one of the main reasons why today’s top-performing dev teams build continuous integration (CI) and continuous delivery or continuous deployment (CD) pipelines, which enable them to ship new releases faster.

For an application developer, there is certainly a long road between an idea/feature and getting deployed into production with Kubernetes. From a development perspective, having a low barrier of entry and the ability to iterate is key. From a platform engineering/DevOps perspective, creating gains in engineering efficiency all while creating and enforcing policies that do not stifle innovation is key.

Many organizations perform periodic data center asset audits to report accurate asset information by cabinet and U position. This information is needed to remotely plan moves, adds, and changes and to facilitate corporate reporting. Data center asset management is often a struggle due to the complex, distributed, and constantly changing environments of modern data centers. They are manual, time-consuming, and human error can result in inaccurate data.