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Cross-Platform Cloud Cost Optimization On AWS And Azure

Cloud cost optimization refers to reducing overall cloud spending by identifying mismanaged resources, eliminating waste, reserving capacity for higher discounts, and right-sizing computing services to scale. In the modern business environment, where agility and efficiency are paramount, mastering cloud cost optimization reduces expenses and strategically allocates resources to drive innovation and growth.

Scaling Kubernetes On A Budget: AKS Vs. EKS Cost-Saving Features

As of 2023, Kubernetes firmly holds the reins of the container orchestration market with a commanding 92% market share, underscoring its position as the unparalleled leader in this domain. Celebrated for its exceptional scalability, robustness, and flexibility, Kubernetes boasts widespread integration across numerous industries, supported by development efforts from more than 7,500 companies.

Cribl Collaborates with Microsoft: Empowering Enterprises to Strengthen their Security Operations

As the cybersecurity landscape becomes more and more complex. It seems like we hear about a major breach of a different company every day. Enterprises are looking for robust solutions to help them manage the surge in data and security incidents. That’s why our recent collaboration announcement with Microsoft means so much to us. It’s not just a piece of paper; it’s a testament to our dedication to providing customers with the best tools and solutions for the job.

Square Pegs, Round Holes: The Challenge of Integrating MELT Data into Traditional Data Warehouses

This is the first in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the second and third posts, you can find them here and here. Imagine this scenario: You’re grappling with the ever-escalating costs of your legacy solutions. What’s the logical next step? For many, it’s exploring the new wave of tools emerging, such as data warehouses.

What's New in Progress Flowmon ADS 12.3?

IT professionals seek out solutions that provide in-depth visibility into their networks and streamline processes so they can more efficiently catch anomalies. A recent update to Progress Flowmon Anomaly Detection System (ADS) will address these concerns our customers have. This blog gives you the first look into how Flowmon ADS 12.3 improves your organization’s threat analyses and cybersecurity strategies.

Error Monitoring on Client- and Server-Side in NextJS 14+

NextJS is the hot JavaScript framework right now, and like all JavaScript, it can cause quite a few bugs on both the client- and server-side of your applications. One of the most powerful features of NextJS is enabling you to use your code, templates, and patterns across both the server and the client. NextJS will mostly figure out the most efficient place to run. This is super powerful and makes NextJS applications feel very fast compared to strictly client-side rendered applications.

Helpdesk integrations are here!

As you may know, StatusGator status pages allow end-users to submit what we call issue reports — problems with services that may not yet appear on your status page. You have always been able to get notified via email of those. But now you can also receive issue reports as tickets in your helpdesk. Integrations with Freshdesk, Freshservice or Zendesk have just been released.

Mastering Full-Stack Monitoring in Your IT Operations

The absence of comprehensive monitoring tools in today’s complex IT environments introduces significant challenges and risks. Without the ability to oversee the entire stack, organizations may run into an undetected performance issue, leading to potential downtime. According to numerous studies, that can cost between $5,600 and $9,000 per minute. Fortunately, full-stack monitoring emerges as a worthy solution.

Deploying The ELK Stack on Kubernetes

The ELK (Elasticsearch, Logstash, and Kibana) stack’s main objective is to aggregate logs, but the vastly popular open-source project has numerous uses alongside aggregating logs. ELK can easily integrate with Kubernetes and is a common solution that enables users to gather, store, and examine Kubernetes telemetry data. However, with the continual rise of micro-service architecture, users are searching for an improved method of aggregating and searching through logs for debugging purposes.