Operations | Monitoring | ITSM | DevOps | Cloud

Latest Posts

2023 is When More FinOps Practices will Shift Left and Cost Optimization around Logging will Get Central Stage

Effective troubleshooting and resolution of critical production issues require DevOps and R&D teams to utilize logging and observability. However, selecting the right logging solution can be challenging, given the wide range of available options and associated costs. Additionally, the strategy for logging usage should be tailored to the needs of different personas and use cases, such as DevOps engineers versus developers.

7 Things You Need to Know About Github's Sponsors-Only Repositories

Open-source software is driving some of the most exciting innovations today. According to The Linux Foundation, open-source constitutes about 70 to 90% of all modern software solutions. But it isn’t all fun and games: open-source software is free, which brings about operational inefficiencies due to a lack of financial support for their developers. Platforms like Switch and SubStack started incentivizing paid subscription models to solve this problem.

SAST vs. DAST

Neglecting security is a rookie mistake. However, DevOps teams struggle to make it a priority in the quest to be continuously faster. Protecting your app from the ground up is challenging, so you need the right tools to improve your debugging process in development and production. To enhance security testing, developers can use SAST tools, which analyze program source code to identify security vulnerabilities, and DAST tools, which come up in later development phases in a running application.

The Hidden Costs of Logging and What can Developers Do About It?

With the growing adoption of remote and distributed application development including micro-services, cloud-native applications, serverless, and more, it is becoming challenging more than ever before for developers to troubleshoot issues within a reasonable time, and that is a bottleneck. That in a sense contradicts the objectives of Agile and DevOps through fast feedback loops, continuous delivery, quick MTTR (mean time to resolution of defects), etc.

Maximizing Value with Database Testing

The foundation of software development is rooted in the handling and preservation of data in compliance with the goals of the application. The core of any software program is the information stored in databases that is used for retrieval and manipulation. To ensure that the chosen database system (whether SQL or Non-SQL) is suitable for the needs of the application, it’s important to conduct tests to evaluate its capabilities.

Tips & Tricks for using Kubernetes

Businesses around the world are increasingly turning to container technology to streamline the process of deploying and managing complex, cloud native applications. Containers bundle all necessary dependencies into a single package, offering portability, speed, security, scalability, and ease of management, making them the preferred choice over traditional virtual machines (VMs).

What is Git HEAD, and how should you use it?

Git is a powerful version-controlling system designed to quickly and effectively manage any project. If you’re one of the 83 million developers who use Git, you’ve probably heard of Git HEAD before. When working with Git, you can check out only one branch at a time – the current or active branch. Git HEAD refers to the tip of this active branch. This article will teach you about Git HEAD and how to find and check its status.

Top 10 Logging Frameworks Across Various Programming Platforms

A logging framework is a software tool that helps developers output diagnostic information during the execution of a program. This information is used to debug the program or monitor its performance. There are many different logging frameworks available, starting with simple logging libraries to full-fledged logging and observability platforms.

A Peek into the Next Generation Observability Solutions

As organizations strive to meet the challenges of digital transformation, they are adopting newer technologies to build more robust software systems. Next generation observability solutions are paving the way to help them meander this maze to deliver better customer experiences and drive business results.

5 Tips to Improve How You Use Github Dependabot

Software development doesn’t end when deployment is complete. Instead, developers constantly tamper with the code even after deploying the app. Staying up-to-date with security fixes, bugs, and dependencies is crucial to ensure your app performs properly. After all, nobody wants a malfunctioning product, right? GitHub Dependabotis one of the several tools you can use to update dependencies.