Operations | Monitoring | ITSM | DevOps | Cloud

Most load balancers only check a client certificate when the client first connects. However, this can be problematic if a client stays connected for an extended period of time. Staying connected would allow clients to continually send and receive data. Imagine you have an employee whose certificate and key were stolen by an adversary. If you are using TLS client authentication, that adversary can connect to your infrastructure and maintain illegal access.

Are you tired of dealing with unexpected system crashes and the chaos they bring? You're not alone. For enterprise SREs, DevOps, and IT Operations teams, mastering incident management goes beyond just fixing problems; it’s about preventing them. According to a recent report, incident volume within enterprise companies rose by 16% during 2023, highlighting the growing complexity and risk in digital operations. This underscores the urgent need for robust incident management solutions.

Users should maintain data consistency to ensure accurate database testing and analysis, especially when generating data in dependent columns. For example, they can use formulas, data generators, or post-scripts to fill in columns based on other columns in the table. However, post-scripts may be complicated and affect database performance. In the article, we’ll explore how to generate values for the referenced columns using dbForge Data Generator for SQL Server.

Manual updating of Salesforce records is far from optimal. If you have ever worked with this CRM, you should know it requires you to find the exact record you want to edit, and only then you’ll be able to change data in its fields. This is fine when you work with separate records, but what if you need to mass update records in Salesforce? If done manually, such an update might eventually lead to errors and consume time.

Although GoMock is one of the most popular ways to create mocks in Golang, it’s important to understand the broader landscape of mocking methods in the language to fully leverage its potential value in testing. Mocking is a powerful technique that allows developers to isolate their code, improve test reliability, and ultimately enhance overall code quality.

In today’s fast-paced software development landscape, efficiency and collaboration are paramount. As teams strive to deliver high-quality software faster, one tool that has emerged as a game-changer is the preview environment. In this blog post, we'll dive into what a preview environment is, why it's essential, and how it can revolutionize your development workflow.

Static code analysis is an important part of testing your software to ensure it is release-ready. In contrast to dynamic testing, which involves executing your code to find errors, static analysis uses automated tools to “look” through the code, without executing it, to find potential errors (including potential security issues) and bugs. Since the code does not need to be executed, static testing can begin much earlier in development than dynamic testing.

As a CTO stepping into the fast-paced world of startups or scaling tech organizations, one of your first and most critical tasks is to chart a clear DevOps roadmap. This roadmap isn’t just a technical guideline—it’s a strategic blueprint that aligns your tech initiatives with your business goals. To succeed, your approach needs to be systematic, focusing on immediate wins while building a foundation for long-term scalability and resilience.

New to Prometheus? My PromQL beginner's guide teaches you how to write queries, understand data types, and use key functions.