Operations | Monitoring | ITSM | DevOps | Cloud

In the rapidly evolving digital landscape companies are facing an increasing number of challenges in maintaining their IT infrastructure, and ensuring application stability. It is critical to stay on top of all the information to ensure the health of the organization and the business side of it. One of the ways to achieve visibility is to use a log monitoring tool to centralize the log data coming from each application and infrastructure element.

Amazon Security Lake is a new service from Amazon Web Services (AWS) that is designed to help organizations improve their security posture by automating the collection, normalization, and consolidation of security-related log and event data from integrated AWS services and third-party services (Source Partners). By centralizing all the security data in a single location, organizations can gain greater visibility and identify potential threats more quickly.

Virtualization has been a rising trend in IT. A recent study of the server virtualization market revealed that in 2019, only half the servers in the world (55.6%) were purely physical, the remainder being virtual. Among virtual servers, VMware had the largest share at around 20.8%. The use of virtual servers has grown to the extent where this blog you’re currently reading is probably hosted on a virtual server.

We have seen in the Series 1 of How To Improve the Performance of SaaS Applications using Nexthink on how Nexthink Application Experience could be leveraged to proactively monitor Page load times of Web Applications to improve user experience and application performance for increased business value. Let us see in part 2 of this series how Nexthink could be leveraged to monitor Application Transactions.

As organizations continue to shift their operations to cloud networks, maintaining the performance and security of these systems becomes increasingly important. Read on to learn about incident management and the tools and strategies organizations can use to reduce MTTR and incident response times in their networks.

Just when you thought everything that could be shifted left has been shifted left, we’re sorry to say you’ve missed something: observability. Modern software development—where code is shipped fast and fixed quickly—simply can’t happen without building observability in before deployments happen. Teams need to see inside the code and CI/CD pipelines before anything ships, because finding problems early makes them easier to fix.

ClickHouse is an open source, column-oriented database management system designed for OLAP (analytical) workloads. ClickHouse supports various data formats and SQL queries, and is popular for clickstream analysis as well as log processing use cases. We are pleased to announce that ClickHouse now has a dedicated observability integration in Grafana Cloud, which makes it easy to troubleshoot issues, track potential latency, and prevent data loss.

Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure that enables users to create, schedule, and orchestrate data workflows to move and transform data from various sources to various destinations.

In the not-too-distant past, the debate was between on-prem and cloud-native. You’re now faced with the choice of choosing between the different cloud infrastructure providers, and inevitably, someone will throw in the phrase “vendor lock-in”. And not having a response for the famed “vendor-lockin” sometimes leads to building things that are much more complex than required basis the stage that the product is in.