Operations | Monitoring | ITSM | DevOps | Cloud

Following up on his discussion at IDPCON, Lou Bichard, Product Manager at Gitpod, revisits the topic of the developer inner loop. Lou Bichard|

It is the era of interconnected systems and 24/7 operations. So, it goes without saying that IT needs to support seamless, reliable services. That is where the concept of workload automation (WLA) stemmed from. It was a way for IT to schedule ‘jobs’ that otherwise would rely on a human operator to do. But what exactly is workload automation, and how has it evolved? Organizations today are grappling with increasing complexities in IT infrastructure.

For financial institutions across the EU, and for organisations that do business with these institutions, Digital Operational Resilience Act (DORA) compliance is no longer a “nice to have” — it’s mandatory. No matter how you’re currently meeting and maintaining compliance with the DORA regulation, automation can improve efficiency and effectiveness of the controls you use to stay DORA-compliant.

Connecting Python projects to Oracle databases is an essential step for many workflows, but the process can feel unnecessarily tedious. Dependency-heavy setups, complex setup files like tnsnames.ora, and platform compatibility issues can make even straightforward projects frustratingly complex. To keep workflows running well, developers must discover a reliable and effective approach to connect Python to Oracle.

DB-Engines reveals Snowflake as the DBMS of the Year 2024, beating PostgreSQL and Oracle. DB-Engines is today announcing that Snowflake is our DBMS of the Year for 2024, the third time it has claimed the top spot having previously been ranked first place in 2021 and 2022. Second in the rankings was PostgreSQL, followed by Oracle in third place. Snowflake has emerged as the most popular database management system over the past year, outpacing all other 423 monitored systems.

Docker has transformed how we deploy, manage, and scale applications. As applications grow in complexity, the need for effective orchestration increases. This is where Docker Swarm comes into play. Docker’s native clustering and orchestration tool simplifies the management of multi-container applications. Together, Docker and Docker Swarm form a powerful combination for building and scaling modern, distributed systems.

Reliability doesn’t happen by itself. Making a system reliable and resilient enough that your customers can count on it takes a combination of time, effort, and resources that could be used elsewhere, such as shipping new features. It’s also not optional. In an era where downtime costs an average of $14,056/min (or $843,360/hr), outages have a material impact on businesses. Unfortunately, most systems are sprawling and complex enough that even small amounts of downtime can add up quickly.

It's no secret that building a data-driven culture in a company is hard, but what is it exactly that makes this such a tricky endeavor? Contrary to popular belief, technology isn't the main hurdle. A recent survey reveals that only a quarter of respondents cite technological limitations as the primary obstacle to becoming data-driven.