Operations | Monitoring | ITSM | DevOps | Cloud

Logs are imperative for troubleshooting, performance analysis, health monitoring, and application integrity and security. Log management tools clearly understand how users interact with apps and systems and provide insight into improving software reliability, increasing productivity, reducing risks, and ultimately improving the user experience. Through log management tools, users can further integrate and enrich all of their logs, making queries quicker and more effective.

On any given day, network administrators have to contend with significant challenges. They often struggle with key questions: How do I ensure I’m spotting traffic anomalies? How do I use our resources most efficiently? How can I intelligently plan for network capacity upgrades? By employing network flow monitoring, administrators can gain accurate insights into these topics.

With the looming macroeconomic uncertainties that are affecting growth, companies are trying to control their costs by downsizing their staff and reducing their infrastructure costs. One way to reduce infrastructure costs is repatriating workloads from public clouds, which we refer to by “cloud repatriation”. According to a 2021 survey by 451 Research, 48% of respondents repatriated some of their workloads from cloud providers.

Argo CD is a declarative continuous delivery tool for Kubernetes developed by the Cloud Native Computing Foundation (CNCF). Argo CD automates your application deployment by continuously monitoring the live state of your containers and comparing it against the desired state in your Kubernetes manifest files, then pulling changes into your Kubernetes clusters as needed.

Read more about Netdata introducing paid subscriptions. All Netdata functionality is and will be available for free forever in the Community Plan. Paid tiers include features targeted for businesses and users who would need to customise their monitoring solution with different levels of user access, other notification mechanisms, etc.

In-House IT Support vs. Outsourcing As companies grow, their need for IT-related tasks increases. Whether the company wants to offer a new service to customers, better understand their data, or streamline in-house communication, they are presented with two options: having an in-house IT expert or outsourcing their IT support to managed service providers (MSPs). The pros and cons of each of the approaches depend on many factors.

One of the hardest tasks for software engineers is often having to stop what you are doing and look into a software bug (error), find the root cause and fix it quickly. This is hard because you may have never seen the affected code (someone else wrote it), it could be code you wrote a long time ago or just the context switching from what you are working on right now.

When thinking about holistic end-to-end observability, it can help to start with what you already have. Many government agencies are already strategically ingesting and storing logs — a key component of observability. More than a year and a half after the release of M-21-31, US government agencies continue to work through the logging maturity models outlined in the memorandum.

Network monitoring is a critical aspect of managing and maintaining the performance and security of a network. It includes monitoring and analyzing network traffic, devices, and systems to identify potential issues and ensure that the network operates efficiently and effectively. Network monitoring can help organizations identify and prevent security breaches, identify and troubleshoot performance issues, and ensure compliance with industry regulations and standards.

Using Checkly’s Playwright Test and GitHub sync integration helped Kizen optimize testing and monitoring workflows Kizen is a no-code, enterprise-grade Predictive Innovation Engine that enables sales, marketing, and operations teams to save time and drive higher revenues and profitability. Their product portfolio includes a flexible customer relationship manager (ƒCRM), operations cloud, automation engine, and a predictive data platform.