Being a product manager is challenging when developers struggle with delivering tasks end-to-end. No matter if it’s domain complexity or technological obstacles, we always need to look for better solutions and improvements. Fortunately, we can solve all the issues around databases easily. Read on to see how.
Teams Face Many Challenges
Teams strive for uninterrupted performance from databases at scale with safe deployments. They aim not just for design correctness but also scalable solutions, conducting rigorous tests (including load testing), code reviews, automated pipelines like CI/CD, and real-time monitoring of all parts involved in the process to ensure high-quality software delivery.
Despite these efforts though, pitfalls are commonplace; database reliability is especially hard due to insufficient test coverage that tends not to address performance as comprehensively or accurately under load conditions - leading to often unsatisfactory results when deployed into production environments and impacting user satisfaction adversely. The process of conducting accurate load tests themselves presents its setbacks: they can be tedious, costly in execution time, and traditionally slotted too late within the development cycle to effectively inform code revisions or prevent integration issues that emerge due to timing discrepancies post-code review merging.
Teams' detachment from their databases further exacerbates these problems - the absence of a sense of ownership often results in siloed work and communication, thereby impeding efficiency improvements aiming for more synchronous interactions within the organization as part of an integrated process wherein development teams are fully engaged with every aspect: code evolution, deployment strategies to production environments, system monitoring activities post-deployment along with proactive troubleshooting.
Additionally, developers often face challenges due to a lack of appropriate toolsets which forces them into extensive manual efforts for problem identification and resolution such as sifting through logs manually or dissecting complex interconnections across various stages of the Software Development Life Cycle (SDLC), further escalating debugging times under pressure.
However, with better tools at their disposal that automatically address database issues - this hassle can be entirely bypassed making things simpler for developers and overall product management as they would have less time spent troubleshooting databases within a more efficient framework wherein the teams themselves are responsible end-to-end. Now delve deeper into how Metis provides just this, streamlining database reliability with minimal communication overhead between different entities while enhancing efficiency by limiting unnecessary information exchange in favor of automated solutions that can pinpoint problems earlier within their development process and beyond!
Unblock Your Teams
Metis seamlessly integrates with your developers' workflow and CI/CD pipelines to automatically assess queries, schema migrations, and database interactions. It performs automated checks to ensure that all queries will scale efficiently in production, without requiring developers to commit changes to the repository.
Metis captures queries, analyzes their execution plans, and highlights what needs to be fixed. It can simulate how the queries will perform on the production database, ensuring they run efficiently once deployed. This happens just in time as developers write their code.
Metis integrates seamlessly with CI/CD pipelines, bringing the same level of automation to databases as CI/CD does for code. This ensures that developers can confidently push their changes to production, knowing they won’t introduce performance issues, inefficient designs, or data loss. Metis verifies that the database design is correct without waiting for load testing to finish.
Additionally, Metis provides comprehensive database observability, offering insights into everything that could impact your databases, including metrics and details related to tables, schemas, indexes, and more.
Metis leverages AI to generate code enhancements, validate them in production, and provide your team with insights that are proven to boost performance.
Stop Worrying About Your Databases
Developers encounter numerous challenges, which can complicate product management and hinder growth. Fortunately, many of these issues can be addressed with Metis. With its insights into queries, performance, and schema migrations, your teams can deploy with confidence. Metis safeguards your database from data loss and prevents unnecessary rollbacks, ensuring that your team has full control over their databases from start to finish, allowing you to focus on product management.
