Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

Simplified Monitoring for AKS Deployments with Logz io

To deliver reliable, performant, and secure microservices on AKS, DevOps teams must be prepared to identify and fix production issues before they impact customer experiences. However, considering the scale and variety of log data generated by modern AKS deployments, gaining observability into AKS and the applications it powers is a significant data analytics challenge.

What Is a Service Mesh, and Why Do You Need One?

“Service mesh” is an umbrella term for products that seek to solve the problems that microservices’ architectures create. These challenges include security, network traffic control, and application telemetry. The resolution of these challenges can be achieved by decoupling your application at layer five of the network stack, which is one definition of what service meshes do.

BKD-backed geo_shapes in Elasticsearch: precision + efficiency + speed

With the addition of new data structures in Lucene 6.0, the Elasticsearch 5.0 release delivered massive indexing and search performance improvements for one-dimension numeric, date, and IP fields, and two-dimension (lat, lon) geo_point fields. Building on this work, the Elasticsearch 6.0 release further improved usability and simplicity of the geo_point API by setting the default indexing structure to the new block k-d tree (BKD) and removing all support for legacy prefix tree encoding.

Understanding Java Garbage Collection Logging: What Are GC Logs and How To Analyze Them

When working with Java or any other JVM-based programming language we get certain functionalities for free. One of those functionalities is clearing the memory. If you’ve ever used languages like C/C++ you probably remember functions like malloc, calloc, realloc and free. We needed to take care of the assignment of each byte in memory and take care of releasing the assigned memory when it was no longer needed.

Image recognition and search at Adobe with Elasticsearch and Sensei

Software giant Adobe is known the world around for its Photoshop, Illustrator, and Acrobat products, which are rolled into cloud service suites — Creative Cloud, Document Cloud, and Experience Cloud — of other similar software offerings. A number of their products — especially those where image search is critical, such as Adobe Stock — feature slick search capabilities that use Elasticsearch behind the scenes.

Running and Deploying Elasticsearch on Kubernetes

Big data, AI, machine learning, and numerous others are all buzzwords we seem to throw around lightly in recent years. Even though they are hugely different from one another, they all have one thing in common. Data! Huge amounts of data that need to be managed. The downside of that is that the more data you have the more of a headache it is to store, query, and make sense of.