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10 Server Maintenance Tips for Efficient Server Maintenance

Just like your commercial vehicles or HVAC systems, servers require regular maintenance to ensure they are operating effectively and optimally. So, we decided to compile a list of server maintenance tips you should be doing. Keep in mind, these server maintenance tips are meant to be used as a guide to help you develop your server maintenance checklist and schedule.

4 Reasons Why Sales Engineering Resources are Essential for Growth?

Sales engineers play a significant role in bridging the gap between internal teams and customers. This shared services team has product experts who possess a sound technical background and a deep understanding of customer expectations. With that, they support several business functions like Sales, Customer Service, Research and Development, and so on. Sales engineering professionals can wear many hats because of their in-depth understanding of the products and the business itself.

Kubernetes Logging Simplified - Pt 1: Applications

If you’re running a fleet of containerized applications on Kubernetes, aggregating and analyzing your logs can be a bit daunting if you’re not equipped with the proper knowledge and tools. Thankfully, there’s plenty of useful documentation to help you get started; observIQ provides the tools you need to gather and analyze your application logs with ease.

Control Your Logging Spend With Usage Quotas

We built LogDNA around the idea that developers are more productive when they have access to all of the logs they need, when they need them. However, we also know that log management can get expensive fast. And, for anyone who owns the budget for developer tools, logs can be an unpredictable line item as you try to determine your monthly, quarterly or even annual spend.

6 Unspoken Laws of Strategic Execution

As organizations recognize that a digital-first, contactless customer experience model is the future, they are making a considerable push towards modernizing their applications and reducing their technical debt. There are several proven techniques they can apply in order to transform their processes, technologies, and businesses.

Elasticsearch caching deep dive: Boosting query speed one cache at a time

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.

StackStorm v3.4.0 Released

With version 3.4, StackStorm code itself will only run on Python 3. For the v3.4 release, we have chosen to run on Python 3.6 across all of our supported platforms. For users still on Ubuntu 16.04, you will need to source your own Python 3.6 packages, but we have been using the Python 3.6 Ubuntu PPA without many issues. Looking forward to StackStorm 3.5, we will be removing the ability to install Python 2 packs.

Elastic searchable snapshots or AWS UltraWarm: Making the right choice

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.

Dependency Confusion Attacks

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.

Debugging Development Logs with Papertrail and rKubeLog

It’s important to ensure the logging and monitoring of a service is as consistent across environments as the code itself. However, it can be expensive and cumbersome to test the logging functionality with the usual required log exporters, database infrastructure, and processing requirements of normal production-grade solutions.