What's New in GitKraken 9.13? #shorts
✨ New in GitKraken Client 9.13 – Integrate with Azure DevOps to assign reviewers for your PRs. Plus, we've added extra support for Git executable, including rebase, checkout, LFS, and more.
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Splunk second thoughts? It's time for the cloud-native alternative
Back in September when Cisco announced they were acquiring Splunk, we explained how the market was consolidating with Sumo Logic ahead of the pack, challenging traditional vendors with our cloud-native platform. Now that the deal is complete and Splunk is officially a Cisco company, we’re hearing from more Splunk customers who are considering their options.
Using eBPF to Debug eBPF
In one of our latest posts, StackState Co-Founder Mark Bakker described how eBPF revolutionizes observability and how StackState’s agents rely heavily on eBPF to capture and analyze the data moving through your cluster. Today, we’re looking at an example where our eBPF code failed and — by diving deep into the intricacies of eBPF implementation in the Linux kernel — share the tale of how we fixed it using even more eBPF.
Critical Platform Engineering Metrics: KPIs that Matter for Success
Platform engineering metrics and/or platform engineering KPIs (Key Performance Indicators) can help us measure the success of this evolving approach and its impact on DevOps. According to our 2024 State of DevOps Report: The Evolution of Platform Engineering — 43% of organizations report that they have had a platform team from 3-5 years already. With this maturity, it’s important to measure what’s working and what isn’t working using the same indicators of success across the board.
Why you should monitor microservice mediator APIs
Microservice mediator APIs provide a flexible, scalable, and decentralized approach to microservices communication, enabling organizations to build robust, modular, and maintainable applications. They shield microservices from the details of the other implementations and promote loose coupling, helping to ensure autonomy, scalability, and independence among microservices.
Discovering the 24 Best Comprehensive Network Visibility Tools
In today's world, networks are crucial for businesses to communicate and share data smoothly. But keeping networks running well and staying ahead of performance issues can be tricky. That's where network visibility tools come in handy. These tools give a complete view of a network, helping IT pros see everything that's happening and fix any issues quickly.
7 Key Takeaways from HIMSS 2024
The Healthcare Information and Management Systems Society (HIMSS) conference serves as a beacon for the healthcare industry, showcasing the latest innovations and trends that shape the future of healthcare. In 2024, HIMSS once again brought together industry leaders, innovators, and stakeholders to explore the transformative potential of technology in healthcare. In this blog, we will delve into the significant trends, challenges, and insights that have surfaced during our three days at HIMSS in Orlando.
Advantages of an AI-Powered Observability Pipeline
The expenses associated with collecting, storing, indexing, and analyzing data have become a considerable challenge for organizations. This data is growing as fast as 35% a year, multiplying the problems. This surge in data comes with a corresponding rise in infrastructure costs. These costs often force organizations to make decisions about what data they can afford to analyze, which tools they must use, and how and where to store data for long-term retention.
Network Technician Guide: Key Roles, Tools, and Career Growth
In the ever-evolving landscape of the digital era, the backbone of our interconnected world is woven together by an intricate web of networks. Behind the scenes, ensuring the seamless operation of these networks are the unsung heroes known as network technicians. These skilled professionals wield their network toolkits to maintain, troubleshoot, and optimize the complex systems that keep our data flowing and communications thriving.
Ubuntu AI | S2E4 | AI on public cloud: what should you know?
Weka report from 2024 showed that 47% of respondents will use the public cloud as the primary place to develop their machine learning projects. This is a result of a correlation of factors which include the need for compute power, easy scalability, and the ability to utilise existing infrastructure already in place on both hybrid clouds and public clouds. Join us to talk more about AI on the public cloud: what are the main benefits and what are the best practices an organisation could implement in order to easier adopt AI and leverage the most the public clouds.