Operations | Monitoring | ITSM | DevOps | Cloud

Cache is king for speedy data retrieval. So if you’re interested in how Elasticsearch leverages various caches to ensure you are retrieving data as fast as possible, buckle up for the next 15 minutes and read through this post. This blog will shed some light on various caching features of Elasticsearch that help you to retrieve data faster after initial data accesses.

Your logs, metrics, security, and trace data are all invaluable to you. They are mission critical for your observability and security needs. As your IT infrastructure grows and keeps generating more and more data, your data volumes and data storage needs go up accordingly. It can quickly become cost-prohibitive to indefinitely store all of it on your hottest machines.

Today, I’m happy to share more about our partnership and commitment to our users that they will have the best possible experience of both Elasticsearch and Grafana, across the full breadth of Elasticsearch functionality, with dedicated engineering from both Grafana Labs and Elastic. Through joint development of the official Grafana Elasticsearch plugin users can combine the benefits of Grafana’s visualization platform with the full capabilities of Elasticsearch.

The OnPage Customer Support team consists of knowledgeable, friendly technicians that offer 24/7 assistance. Support recognizes the importance of client relationships and always aims to achieve maximum customer satisfaction. The OnPage incident management system is at the center of Support’s quality service delivery. OnPage triggers instant, critical mobile alerts to technicians whenever customer-initiated tickets are created.

This is the second in a series of blog posts exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this post, meet our clever ITOps engineer, James, as he reduces noise and distraction using intelligent observability.

Splunk is a fantastic platform for ingesting, storing, searching and analysing data from logs, metrics and traces from a massive variety of sources. But does that mean we should ignore all of that data that doesn’t fall into these categories, like image and video data for example? Of course not!

I drive a 2005 Ford diesel pickup truck. Most of the time my truck runs great. But occasionally an orange light on the dashboard will flicker on to alert me that something is wrong. Unfortunately, there’s no information about what is wrong and why. My truck has a monitoring solution, but not an observability solution. In many cases, IT has the same problem as my truck.

One of the more delicate debates in the DevOps world is what observability has to do with monitoring. Is observability just a trendy buzzword that means the same thing as monitoring? Is observability an improved version of monitoring? Are monitoring and observability different types of processes that solve different problems? The answer to those questions depends in part on your perspective.

With almost every blog you read about monitoring, troubleshooting, or more recently, the observability of modern application stacks, you’ve probably read a statement saying that complexity is growing as a demand for more elasticity increases which makes management of these applications increasingly difficult. This blog will be no exception, but there’s a good reason for that: we just enabled the first Sumo Logic customers with powerful new tools to tackle these exact challenges.

You must secure your software supply chain. Now, more than ever, it is vital. For a long time, a primary concern in security was malicious actors exploiting inherent weaknesses in software. Privilege escalations, SQL injections, race conditions etc. These are, of course, still a concern and should be afforded the attention that they deserve. But now, there is another worry, one that is arguably even more important – A Supply Chain Attack.