Operations | Monitoring | ITSM | DevOps | Cloud

Whether you’re a data-driven, data-informed, or data-backed organization, your data remains your most crucial business intelligence resource. All the data you collect for later analysis needs to be stored in a secure location as well. Cloud-based data warehouses offer superior performance, flexibility, and cost benefits.

In the fast-paced realm of DevOps and Site Reliability Engineering (SRE), success starts with effective monitoring. Understanding the fundamental metrics is crucial for identifying and mitigating issues proactively. In this article, we’ll delve into the leading metrics frameworks — R.E.D., U.S.E., and the “Four Golden Signals” — which will provide you with a solid foundation to enhance your monitoring practices.

Here we are in our twenty-third year, and open source HAProxy is going strong. HAProxy is the world’s fastest and most widely used software load balancer, with over one billion downloads on Docker Hub. It is the G2 category leader in API management, container networking, DDoS protection, web application firewall (WAF), and load balancing.

Security is and will always be a huge concern, and Platform Engineering is here to stay: so, what are some Platform Engineering best practices that can support your data security and privacy efforts? You’d be surprised where they overlap, and what you can learn about putting security and productivity together — we’ll explain.

Using Apache Zipkin is important because it provides detailed, end-to-end tracing of requests across distributed systems, helping to identify latency issues and performance bottlenecks. Monitoring your Zipkin environment is crucial to ensure the reliability and performance of your tracing system, allowing you to quickly detect and address any anomalies or downtime.

DevOps engineers play a vital role in modern software organizations, helping to bridge the gap between software development and IT operations. DevOps is a cultural and technical approach that emphasizes collaboration, automation, and continuous integration and delivery (CI/CD). DevOps engineers are responsible for implementing and supporting these practices to improve efficiency, enhance software quality, and accelerate delivery times.

The code insights functionality in Bitbucket Cloud provides a variety of reports, annotations, and metrics to help your team have full context during the code review process. With code insights, you can automatically have artifacts such as static analysis reports, security scan results, artifact links, unit test results, and build status updates appear in your pull request screen so reviewers have access to all reports and statuses before they approve the code change.

Even the most skilled software and database developers, DBAs, architects, managers, and analysts benefit from using GUI clients for SQL databases. Compared to manual input of text-based commands in one’s console, such tools give you way more efficiency.