Operations | Monitoring | ITSM | DevOps | Cloud

Coralogix new observability solution now available for enterprises

Coralogix continues to invest in and develop solutions to address modern business challenges. One such example of modern business challenges is the field of observability with data complexity and volume increasing all the time. Observability solutions play a key role in digital transformation and operational excellence, helping companies aggregate a growing amount of data, effectively analyze it, and initiate the needed actions to maintain optimal performance and uptime.

Problems with ServiceNow and Twilio

We live in a time where immediate communication of critical incidents is vital for maintaining continuous service availability. As companies strive to enhance their IT service management practices, many integrate technologies like Interactive Voice Response (IVR) into their service delivery frameworks. However, this approach may not always be the most effective.

How to Remove Kaspersky Labs Software from Your Organization's Computers

Kaspersky Labs has long been recognized as a leading cybersecurity provider, but recent developments have prompted a reassessment of its software within organizational IT infrastructures. Growing concerns over its alleged ties to the Russian government have heightened due to stringent U.S. regulations, including those set forth by the Export Administration Regulations (EAR), the National Defense Authorization Act (NDAA), and the Federal Acquisition Regulation (FAR).

Focus on recent code changes with iterative review

Hello, Bitbucket Cloud Community! We are incredibly excited to announce the introduction of Iterative review, a feature designed to help your team get pull requests completed faster by removing the need to re-review code you've already seen. Now when an author pushes new commits based on your pull request (PR) feedback, you'll have the option to focus on just those new changes.

Grafana Cloud updates: new visualization options, performance test analysis, Grafana Alerting improvements, and more

We consistently roll out helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest updates for Grafana Cloud this month. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

Enhance Security with Chainguard and Cloudsmith

At Cloudsmith, we are excited to announce our support for the Chainguard Registry as an upstream source. By consolidating all your artifacts, packages, and now Chainguard Images into Cloudsmith, your organization can: Integrating the Chainguard Registry as an upstream resource in your Cloudsmith account not only enhances security but also boosts efficiency in your artifact management workflow.

Optimizing Throughput: Overcoming Syslog TCP Pinning with Cribl's Load Balancing

In modern network systems, managing data flow efficiently is critical, especially when dealing with high volumes of log data. One common challenge for IT teams is the bottleneck caused by Syslog TCP pinning, where a limited number of persistent TCP connections lead to throughput inefficiencies. This blog explores the concept of TCP pinning in depth, discussing its implications on network performance and detailing strategies to alleviate these bottlenecks through innovative load balancing techniques.

Improve mobile vitals using Site24x7 mobile APM and crash analytics

Between your app server and your customer's fingertips, your mobile application or website's performance depends on many factors. Often, what you give may not be what the customer gets, as several things can get in the way, such as bottlenecks, server performance issues, network woes, and un-optimized code. All these factors prevent your customers from experiencing fluid, fast, and functional apps and websites as intended.

Myth #2 of Apache Spark Optimization: Cluster Autoscaling

In this blog series we’ll be examining the Five Myths of Apache Spark Optimization. (Stay tuned for the entire series!) If you’ve missed Myth #1, check it out here. The second myth examines another common assumption of many Spark practitioners: Cluster Autoscaling stops applications from wasting resources.