The year is 2020 and you are responsible for ensuring the efficient and reliable operations of millions of dollars of cloud computing infrastructure. Things have changed a lot in the past few years, even more so from the days when you first moved from on-premise and into AWS.
The world of DevOps is a pretty confusing place for folks just starting out. Even figuring out what “DevOps” means can be hard. Is it CI/CD with Kubernetes and Serverless to drive Agile product iterations? Or is it SSH-ing into a box and restarting Apache? You guessed it. All of the above and most things in between.
Tag-based metrics are typically used by IT operations and DevOps teams to make it easier to design and scale their systems. Tags help you to make sense of metrics by allowing you to filter on things like host, cluster, services, etc. However, knowing which tags to use, and when, can be confusing. For instance, have you ever wondered about the difference between intrinsic tags (or dimensions) and meta tags with respect to custom application metrics? If so, you’re not alone.
Super Monitoring introduced a new type of check: “Daily Health”, which checks once a day the domain and SSL certificate’s expiration dates, the validity of the certificate, presence of the site on blacklists and detects whether the website is blocking search engine robots.
One of the most valuable capabilities of Postgres is its support for concurrent ACID transactions. ACID is an acronym for Atomicity, Consistency, Isolation, and Durability. These database transaction properties help verify data validity. It is important to understand that locking can be a common occurrence in active Postgres databases. This is because Postgres uses these levels of locking as one of the ways to safely implement these (concurrent ACID) transactions.
Serverless is often described as the abstraction to end all abstractions. VMs and standalone containers pale in comparison stateless functions. That pristine distinction between the application’s code and its stateful data is something we all dream of. Scalability, observability and high availability can now be realized on a global scale.
We all know the latest trend in today’s technology and how Machine Learning is changing the way business decisions are made. Machine learning replaces old manual repeatable processes and provides the systems the ability to get into a mode of self-learning without being explicitly programmed.
In many cases — as you’re monitoring a particular state of a system — you probably know some steps to triage or in some cases automatically fix the situation. Let’s take a look at how we can automate this using check hooks and handlers.
Cron is a powerful tool in linux-based operating systems to execute jobs at specified intervals. This easy hack makes monthly cron jobs execute at a specific date.
It’s been some time since devops and agile to walk side by side. Combining both has become the basic precept for any IT area, since that way you can get better business results. However, this union still generates much discussion. To better understand the two concepts, it is interesting to note that all of DevOps’ efforts within an organization are geared towards enabling “value delivery” to customers and businesses as quickly as possible.
