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Jan 17, 2019 | By Andre Newman
Configuration management is an essential process for DevOps teams. It allows engineers to manage dozens, hundreds, or even thousands of machines in a consistent and automated way. While there are many configuration management tools available, three of the most popular are Chef, Puppet, and Ansible. In this post, we’ll explain how these tools work and the unique benefits that they offer.
Jan 14, 2019 | By Andre Newman
DevOps is an ongoing process requiring constant communication, collaboration, and automation. Teams must be able to move projects from conceptualization to release as quickly and as efficiently as possible. Not only do organizations need to have workflows in place to facilitate DevOps, but they also need the right tools.
Jan 9, 2019 | By Donal Power
The impact of the colossal Starwood Hotels & Resorts data breach continues to reverberate across the global technology community. In its wake, the importance of log management and security information event management (SIEM) systems has once again come to the forefront. Let’s explore what SIEM is, the many acronyms emerging in the SIEM space and where logging fits into the picture.
Jan 7, 2019 | By Andre Newman
Scalability is a core requirement of modern applications. Applications need to be able to handle sudden changes in demand without losing resilience or performance. With the popularity of cloud computing and microservices, DevOps teams have a countless number of platforms and tools for deploying scalable applications. However, true scalability involves much more than just migrating an application to the cloud.
Jan 2, 2019 | By Andre Newman
Multi-cloud is a cloud computing strategy that uses two or more different cloud services. This can be a combination of Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), or Infrastructure-as-a-Service (IaaS) solutions running in a public or private cloud environment. Multi-cloud offers a number of benefits including greater reliability and availability, less vendor lock-in, and potentially lower costs.
Dec 19, 2018 | By LogDNA
A growing number of log management solutions available on the market today are offered as cloud-only services. Although cloud logging has its benefits, many organizations have requirements that can only be fulfilled with self-hosted/on-premises log management systems.
Dec 19, 2018 | By LogDNA
Here’s a complete guide covering all core components to help you choose the best log management system for your organization. From scalability, deployment, compliance, and cost, to on-prem or cloud logging, we identify the key questions to ask as you evaluate log management and analysis providers.
Nov 1, 2018 | By LogDNA
Despite having an extensive feature set and being open source, organizations are beginning to realize that a free ELK license is not free after all. Rather, it comes with many hidden costs due to hardware requirements and time constraints that easily add to the total cost of ownership (TCO). Here, we uncover the true cost of running the Elastic Stack on your own vs using a hosted log management service.
Oct 4, 2018 | By LogDNA
LogDNA is uniquely positioned to have enabled thousands of customers to gain deep insights into their DevOps infrastructure. As the industry has shifted to microservices and Kubernetes we have helped our customers migrate and deploy world-class infrastructure. Based on our experience we see three main pillars when it comes to the future of DevOps: Monitoring, Analytics, and Logging.
Sep 7, 2018 | By LogDNA
Instantly collect, centralize, and analyze logs from all sources - apps, cloud services, and servers. Whether you're looking to upgrade your ELK Stack or benefit from cost-effective, enterprise-grade log management software, LogDNA maintains all the necessary features you need in one intuitive, blazing fast platform.
Jul 25, 2018 | By LogDNA
LogDNA is the easiest, fastest log management tool available. Our head of DevOps Ryan Staatz showcases how to get started with LogDNA, ingest logs from numerous platforms - Linux, Kubernetes, Docker, Linux, Syslog, etc., then add team members to join a central organization for centralized log management and analysis.